diff --git a/source/python.js b/source/python.js
index b006145e1d..9876d51d02 100644
--- a/source/python.js
+++ b/source/python.js
@@ -6163,7 +6163,7 @@ python.Execution = class {
         });
         this.registerType('torch.ClassType', class extends torch.Type {
             constructor(qualified_name, cu, is_module) {
-                super();
+                super('ClassType');
                 this._qualified_name = qualified_name;
                 this._is_module = is_module;
                 this._attributes = new Map();
@@ -6247,6 +6247,9 @@ python.Execution = class {
             elements() {
                 return this._elements;
             }
+            __str__() {
+                return `Tuple[${this.elements().map((elem) => elem.toString()).join(', ')}]`;
+            }
         });
         this.registerType('torch.TensorType', class extends torch.Type {
             constructor() {
@@ -6328,6 +6331,9 @@ python.Execution = class {
             getValueType() {
                 return this._value;
             }
+            __str__() {
+                return `Dict(${this.getKeyType().toString()}, ${this.getValueType().toString()})`;
+            }
         });
         this.registerType('torch.DeviceObjType', class extends torch.Type {
             constructor() {
diff --git a/source/pytorch-metadata.json b/source/pytorch-metadata.json
index 3dc2bd3216..da175e859b 100755
--- a/source/pytorch-metadata.json
+++ b/source/pytorch-metadata.json
@@ -222,6 +222,15 @@
       { "type": "complex" }
     ]
   },
+  {
+    "name": "aten::ComplexImplicit",
+    "inputs": [
+      { "name": "a", "type": "Tensor" }
+    ],
+    "outputs": [
+      { "type": "complex" }
+    ]
+  },
   {
     "name": "aten::Float.Scalar",
     "inputs": [
@@ -267,6 +276,15 @@
       { "type": "float32" }
     ]
   },
+  {
+    "name": "aten::FloatImplicit",
+    "inputs": [
+      { "name": "a", "type": "Tensor" }
+    ],
+    "outputs": [
+      { "type": "float32" }
+    ]
+  },
   {
     "name": "aten::Int.Scalar",
     "inputs": [
@@ -312,6 +330,24 @@
       { "type": "int64" }
     ]
   },
+  {
+    "name": "aten::IntImplicit",
+    "inputs": [
+      { "name": "a", "type": "Tensor" }
+    ],
+    "outputs": [
+      { "type": "int64" }
+    ]
+  },
+  {
+    "name": "aten::ScalarImplicit",
+    "inputs": [
+      { "name": "a", "type": "Tensor" }
+    ],
+    "outputs": [
+      { "type": "Scalar" }
+    ]
+  },
   {
     "name": "aten::__and__.Scalar",
     "inputs": [
@@ -332,6 +368,106 @@
       { "type": "Tensor" }
     ]
   },
+  {
+    "name": "aten::__and__.bool",
+    "inputs": [
+      { "name": "a", "type": "boolean" },
+      { "name": "b", "type": "boolean" }
+    ],
+    "outputs": [
+      { "type": "boolean" }
+    ]
+  },
+  {
+    "name": "aten::__and__.int",
+    "inputs": [
+      { "name": "a", "type": "int64" },
+      { "name": "b", "type": "int64" }
+    ],
+    "outputs": [
+      { "type": "int64" }
+    ]
+  },
+  {
+    "name": "aten::__getitem__.Dict_Tensor",
+    "inputs": [
+      { "name": "self", "type": "Dict(Tensor, t)" },
+      { "name": "key", "type": "Tensor" }
+    ],
+    "outputs": [
+      { "type": "t" }
+    ]
+  },
+  {
+    "name": "aten::__getitem__.Dict_bool",
+    "inputs": [
+      { "name": "self", "type": "Dict(boolean, t)" },
+      { "name": "key", "type": "boolean" }
+    ],
+    "outputs": [
+      { "type": "t" }
+    ]
+  },
+  {
+    "name": "aten::__getitem__.Dict_complex",
+    "inputs": [
+      { "name": "self", "type": "Dict(complex, t)" },
+      { "name": "key", "type": "complex" }
+    ],
+    "outputs": [
+      { "type": "t" }
+    ]
+  },
+  {
+    "name": "aten::__getitem__.Dict_float",
+    "inputs": [
+      { "name": "self", "type": "Dict(float32, t)" },
+      { "name": "key", "type": "float32" }
+    ],
+    "outputs": [
+      { "type": "t" }
+    ]
+  },
+  {
+    "name": "aten::__getitem__.Dict_int",
+    "inputs": [
+      { "name": "self", "type": "Dict(int64, t)" },
+      { "name": "key", "type": "int64" }
+    ],
+    "outputs": [
+      { "type": "t" }
+    ]
+  },
+  {
+    "name": "aten::__getitem__.Dict_str",
+    "inputs": [
+      { "name": "self", "type": "Dict(string, t)" },
+      { "name": "key", "type": "string" }
+    ],
+    "outputs": [
+      { "type": "t" }
+    ]
+  },
+  {
+    "name": "aten::__getitem__.str",
+    "inputs": [
+      { "name": "s", "type": "string" },
+      { "name": "index", "type": "int64" }
+    ],
+    "outputs": [
+      { "type": "string" }
+    ]
+  },
+  {
+    "name": "aten::__getitem__.t",
+    "inputs": [
+      { "name": "list", "type": "t[]" },
+      { "name": "idx", "type": "int64" }
+    ],
+    "outputs": [
+      { "type": "t" }
+    ]
+  },
   {
     "name": "aten::__iand__.Scalar",
     "inputs": [
@@ -376,11 +512,11 @@
     "name": "aten::__interpolate",
     "inputs": [
       { "name": "input", "type": "Tensor" },
-      { "name": "size", "type": "int64", "optional": true, "default": null },
-      { "name": "scale_factor", "type": "float32", "optional": true, "default": null },
+      { "name": "size", "type": "int64?", "default": null },
+      { "name": "scale_factor", "type": "float32?", "default": null },
       { "name": "mode", "type": "string", "default": "nearest" },
-      { "name": "align_corners", "type": "boolean", "optional": true, "default": null },
-      { "name": "recompute_scale_factor", "type": "boolean", "optional": true, "default": null },
+      { "name": "align_corners", "type": "boolean?", "default": null },
+      { "name": "recompute_scale_factor", "type": "boolean?", "default": null },
       { "name": "antialias", "type": "boolean", "default": false }
     ],
     "outputs": [
@@ -391,11 +527,11 @@
     "name": "aten::__interpolate.scale_list",
     "inputs": [
       { "name": "input", "type": "Tensor" },
-      { "name": "size", "type": "int64", "optional": true, "default": null },
-      { "name": "scale_factor", "type": "float32[]", "optional": true, "default": null },
+      { "name": "size", "type": "int64?", "default": null },
+      { "name": "scale_factor", "type": "float32[]?", "default": null },
       { "name": "mode", "type": "string", "default": "nearest" },
-      { "name": "align_corners", "type": "boolean", "optional": true, "default": null },
-      { "name": "recompute_scale_factor", "type": "boolean", "optional": true, "default": null },
+      { "name": "align_corners", "type": "boolean?", "default": null },
+      { "name": "recompute_scale_factor", "type": "boolean?", "default": null },
       { "name": "antialias", "type": "boolean", "default": false }
     ],
     "outputs": [
@@ -406,11 +542,11 @@
     "name": "aten::__interpolate.size_list",
     "inputs": [
       { "name": "input", "type": "Tensor" },
-      { "name": "size", "type": "int64[]", "optional": true, "default": null },
-      { "name": "scale_factor", "type": "float32", "optional": true, "default": null },
+      { "name": "size", "type": "int64[]?", "default": null },
+      { "name": "scale_factor", "type": "float32?", "default": null },
       { "name": "mode", "type": "string", "default": "nearest" },
-      { "name": "align_corners", "type": "boolean", "optional": true, "default": null },
-      { "name": "recompute_scale_factor", "type": "boolean", "optional": true, "default": null },
+      { "name": "align_corners", "type": "boolean?", "default": null },
+      { "name": "recompute_scale_factor", "type": "boolean?", "default": null },
       { "name": "antialias", "type": "boolean", "default": false }
     ],
     "outputs": [
@@ -421,11 +557,11 @@
     "name": "aten::__interpolate.size_list_scale_list",
     "inputs": [
       { "name": "input", "type": "Tensor" },
-      { "name": "size", "type": "int64[]", "optional": true, "default": null },
-      { "name": "scale_factor", "type": "float32[]", "optional": true, "default": null },
+      { "name": "size", "type": "int64[]?", "default": null },
+      { "name": "scale_factor", "type": "float32[]?", "default": null },
       { "name": "mode", "type": "string", "default": "nearest" },
-      { "name": "align_corners", "type": "boolean", "optional": true, "default": null },
-      { "name": "recompute_scale_factor", "type": "boolean", "optional": true, "default": null },
+      { "name": "align_corners", "type": "boolean?", "default": null },
+      { "name": "recompute_scale_factor", "type": "boolean?", "default": null },
       { "name": "antialias", "type": "boolean", "default": false }
     ],
     "outputs": [
@@ -502,6 +638,15 @@
       { "type": "Tensor" }
     ]
   },
+  {
+    "name": "aten::__not__",
+    "inputs": [
+      { "name": "self", "type": "boolean" }
+    ],
+    "outputs": [
+      { "type": "boolean" }
+    ]
+  },
   {
     "name": "aten::__or__.Scalar",
     "inputs": [
@@ -547,10 +692,10 @@
     "category": "Layer",
     "inputs": [
       { "name": "input", "type": "Tensor" },
-      { "name": "size", "type": "int64", "optional": true, "default": null },
-      { "name": "scale_factor", "type": "int64", "optional": true, "default": null },
+      { "name": "size", "type": "int64?", "default": null },
+      { "name": "scale_factor", "type": "int64?", "default": null },
       { "name": "mode", "type": "string", "default": "nearest" },
-      { "name": "align_corners", "type": "boolean", "optional": true, "default": null }
+      { "name": "align_corners", "type": "boolean?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -561,10 +706,10 @@
     "category": "Layer",
     "inputs": [
       { "name": "input", "type": "Tensor" },
-      { "name": "size", "type": "int64[]", "optional": true, "default": null },
-      { "name": "scale_factor", "type": "int64", "optional": true, "default": null },
+      { "name": "size", "type": "int64[]?", "default": null },
+      { "name": "scale_factor", "type": "int64?", "default": null },
       { "name": "mode", "type": "string", "default": "nearest" },
-      { "name": "align_corners", "type": "boolean", "optional": true, "default": null }
+      { "name": "align_corners", "type": "boolean?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -574,8 +719,8 @@
     "name": "aten::__upsample_bilinear",
     "inputs": [
       { "name": "input", "type": "Tensor" },
-      { "name": "size", "type": "int64", "optional": true, "default": null },
-      { "name": "scale_factor", "type": "int64", "optional": true, "default": null }
+      { "name": "size", "type": "int64?", "default": null },
+      { "name": "scale_factor", "type": "int64?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -585,8 +730,8 @@
     "name": "aten::__upsample_bilinear.scale_list",
     "inputs": [
       { "name": "input", "type": "Tensor" },
-      { "name": "size", "type": "int64", "optional": true, "default": null },
-      { "name": "scale_factor", "type": "int64[]", "optional": true, "default": null }
+      { "name": "size", "type": "int64?", "default": null },
+      { "name": "scale_factor", "type": "int64[]?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -596,8 +741,8 @@
     "name": "aten::__upsample_bilinear.size_list",
     "inputs": [
       { "name": "input", "type": "Tensor" },
-      { "name": "size", "type": "int64[]", "optional": true, "default": null },
-      { "name": "scale_factor", "type": "int64", "optional": true, "default": null }
+      { "name": "size", "type": "int64[]?", "default": null },
+      { "name": "scale_factor", "type": "int64?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -607,8 +752,8 @@
     "name": "aten::__upsample_bilinear.size_list_scale_list",
     "inputs": [
       { "name": "input", "type": "Tensor" },
-      { "name": "size", "type": "int64[]", "optional": true, "default": null },
-      { "name": "scale_factor", "type": "int64[]", "optional": true, "default": null }
+      { "name": "size", "type": "int64[]?", "default": null },
+      { "name": "scale_factor", "type": "int64[]?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -820,7 +965,7 @@
       { "name": "x1", "type": "Tensor" },
       { "name": "x2", "type": "Tensor" },
       { "name": "p", "type": "float32" },
-      { "name": "compute_mode", "type": "int64", "optional": true }
+      { "name": "compute_mode", "type": "int64?" }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -850,7 +995,7 @@
     "inputs": [
       { "name": "input", "type": "Tensor" },
       { "name": "weight", "type": "Tensor" },
-      { "name": "bias", "type": "Tensor", "optional": true },
+      { "name": "bias", "type": "Tensor?" },
       { "name": "stride", "type": "SymInt[]", "default": 1 },
       { "name": "padding", "type": "SymInt[]", "default": 0 },
       { "name": "dilation", "type": "SymInt[]", "default": 1 },
@@ -872,7 +1017,7 @@
     "inputs": [
       { "name": "input", "type": "Tensor" },
       { "name": "weight", "type": "Tensor" },
-      { "name": "bias", "type": "Tensor", "optional": true },
+      { "name": "bias", "type": "Tensor?" },
       { "name": "stride", "type": "SymInt[]", "default": 1 },
       { "name": "padding", "type": "SymInt[]", "default": 0 },
       { "name": "dilation", "type": "SymInt[]", "default": 1 },
@@ -892,7 +1037,7 @@
     "inputs": [
       { "name": "input", "type": "Tensor" },
       { "name": "weight", "type": "Tensor" },
-      { "name": "bias", "type": "Tensor", "optional": true },
+      { "name": "bias", "type": "Tensor?" },
       { "name": "stride", "type": "SymInt[]" },
       { "name": "padding", "type": "string" },
       { "name": "dilation", "type": "SymInt[]" },
@@ -1008,8 +1153,8 @@
     "category": "Normalization",
     "inputs": [
       { "name": "input", "type": "Tensor" },
-      { "name": "weight", "type": "Tensor", "optional": true },
-      { "name": "bias", "type": "Tensor", "optional": true },
+      { "name": "weight", "type": "Tensor?" },
+      { "name": "bias", "type": "Tensor?" },
       { "name": "running_mean", "type": "Tensor" },
       { "name": "running_var", "type": "Tensor" },
       { "name": "momentum", "type": "float32" },
@@ -1021,6 +1166,40 @@
       { "name": "save_rstd", "type": "Tensor" }
     ]
   },
+  {
+    "name": "aten::_native_multi_head_attention",
+    "category": "Attention",
+    "inputs": [
+      { "name": "query", "type": "Tensor" },
+      { "name": "key", "type": "Tensor" },
+      { "name": "value", "type": "Tensor" },
+      { "name": "embed_dim", "type": "int64" },
+      { "name": "num_head", "type": "int64" },
+      { "name": "qkv_weight", "type": "Tensor" },
+      { "name": "qkv_bias", "type": "Tensor" },
+      { "name": "proj_weight", "type": "Tensor" },
+      { "name": "proj_bias", "type": "Tensor" },
+      { "name": "mask", "type": "Tensor?", "default": null },
+      { "name": "need_weights", "type": "boolean", "default": true },
+      { "name": "average_attn_weights", "type": "boolean", "default": true },
+      { "name": "mask_type", "type": "int64?", "default": null }
+    ],
+    "outputs": [
+      { "type": "Tensor" },
+      { "type": "Tensor" }
+    ]
+  },
+  {
+    "name": "aten::_nested_tensor_from_mask",
+    "inputs": [
+      { "name": "t", "type": "Tensor" },
+      { "name": "mask", "type": "Tensor" },
+      { "name": "mask_check", "type": "boolean", "default": true }
+    ],
+    "outputs": [
+      { "type": "Tensor" }
+    ]
+  },
   {
     "name": "aten::_pack_padded_sequence",
     "inputs": [
@@ -1053,11 +1232,11 @@
       { "name": "query", "type": "Tensor" },
       { "name": "key", "type": "Tensor" },
       { "name": "value", "type": "Tensor" },
-      { "name": "attn_bias", "type": "Tensor", "optional": true },
+      { "name": "attn_bias", "type": "Tensor?" },
       { "name": "compute_log_sumexp", "type": "boolean" },
       { "name": "dropout_p", "type": "float32", "default": 0.0 },
       { "name": "is_causal", "type": "boolean", "default": false },
-      { "name": "scale", "type": "float32", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "scale", "type": "float32?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "name": "output", "type": "Tensor" },
@@ -1074,8 +1253,8 @@
       { "name": "value", "type": "Tensor" },
       { "name": "dropout_p", "type": "float32", "default": 0.0 },
       { "name": "is_causal", "type": "boolean", "default": false },
-      { "name": "attn_mask", "type": "Tensor", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "scale", "type": "float32", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "attn_mask", "type": "Tensor?", "default": null, "kwarg_only": true },
+      { "name": "scale", "type": "float32?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "name": "output", "type": "Tensor" },
@@ -1121,11 +1300,11 @@
       { "name": "indices", "type": "Tensor" },
       { "name": "values", "type": "Tensor" },
       { "name": "size", "type": "SymInt[]" },
-      { "name": "dtype", "type": "ScalarType", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "layout", "type": "Layout", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "device", "type": "Device", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "pin_memory", "type": "boolean", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "is_coalesced", "type": "boolean", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "dtype", "type": "ScalarType?", "default": null, "kwarg_only": true },
+      { "name": "layout", "type": "Layout?", "default": null, "kwarg_only": true },
+      { "name": "device", "type": "Device?", "default": null, "kwarg_only": true },
+      { "name": "pin_memory", "type": "boolean?", "default": null, "kwarg_only": true },
+      { "name": "is_coalesced", "type": "boolean?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "name": "outputs", "type": "Tensor" }
@@ -1148,8 +1327,8 @@
       { "name": "input_gates", "type": "Tensor" },
       { "name": "hidden_gates", "type": "Tensor" },
       { "name": "hx", "type": "Tensor" },
-      { "name": "input_bias", "type": "Tensor", "optional": true, "default": null },
-      { "name": "hidden_bias", "type": "Tensor", "optional": true, "default": null }
+      { "name": "input_bias", "type": "Tensor?", "default": null },
+      { "name": "hidden_bias", "type": "Tensor?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" },
@@ -1162,8 +1341,8 @@
       { "name": "input_gates", "type": "Tensor" },
       { "name": "hidden_gates", "type": "Tensor" },
       { "name": "cx", "type": "Tensor" },
-      { "name": "input_bias", "type": "Tensor", "optional": true, "default": null },
-      { "name": "hidden_bias", "type": "Tensor", "optional": true, "default": null }
+      { "name": "input_bias", "type": "Tensor?", "default": null },
+      { "name": "hidden_bias", "type": "Tensor?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" },
@@ -1175,12 +1354,40 @@
     "name": "aten::_to_copy",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "dtype", "type": "ScalarType", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "layout", "type": "Layout", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "device", "type": "Device", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "pin_memory", "type": "boolean", "optional": true, "default": null, "kwarg_only": true },
+      { "name": "dtype", "type": "ScalarType?", "default": null, "kwarg_only": true },
+      { "name": "layout", "type": "Layout?", "default": null, "kwarg_only": true },
+      { "name": "device", "type": "Device?", "default": null, "kwarg_only": true },
+      { "name": "pin_memory", "type": "boolean?", "default": null, "kwarg_only": true },
       { "name": "non_blocking", "type": "boolean", "default": false, "kwarg_only": true },
-      { "name": "memory_format", "type": "MemoryFormat", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "memory_format", "type": "MemoryFormat?", "default": null, "kwarg_only": true }
+    ],
+    "outputs": [
+      { "type": "Tensor" }
+    ]
+  },
+  {
+    "name": "aten::_transformer_encoder_layer_fwd",
+    "inputs": [
+      { "name": "src", "type": "Tensor" },
+      { "name": "embed_dim", "type": "int64" },
+      { "name": "num_heads", "type": "int64" },
+      { "name": "qkv_weight", "type": "Tensor" },
+      { "name": "qkv_bias", "type": "Tensor" },
+      { "name": "proj_weight", "type": "Tensor" },
+      { "name": "proj_bias", "type": "Tensor" },
+      { "name": "use_gelu", "type": "boolean" },
+      { "name": "norm_first", "type": "boolean" },
+      { "name": "eps", "type": "float32" },
+      { "name": "norm_weight_1", "type": "Tensor" },
+      { "name": "norm_bias_1", "type": "Tensor" },
+      { "name": "norm_weight_2", "type": "Tensor" },
+      { "name": "norm_bias_2", "type": "Tensor" },
+      { "name": "ffn_weight_1", "type": "Tensor" },
+      { "name": "ffn_bias_1", "type": "Tensor" },
+      { "name": "ffn_weight_2", "type": "Tensor" },
+      { "name": "ffn_bias_2", "type": "Tensor" },
+      { "name": "mask", "type": "Tensor?", "default": null },
+      { "name": "mask_type", "type": "int64?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -1216,8 +1423,8 @@
       { "name": "self", "type": "Tensor" },
       { "name": "output_size", "type": "SymInt[2]" },
       { "name": "align_corners", "type": "boolean" },
-      { "name": "scales_h", "type": "float32", "optional": true, "default": null },
-      { "name": "scales_w", "type": "float32", "optional": true, "default": null }
+      { "name": "scales_h", "type": "float32?", "default": null },
+      { "name": "scales_w", "type": "float32?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -1229,8 +1436,8 @@
       { "name": "self", "type": "Tensor" },
       { "name": "output_size", "type": "SymInt[2]" },
       { "name": "align_corners", "type": "boolean" },
-      { "name": "scales_h", "type": "float32", "optional": true, "default": null },
-      { "name": "scales_w", "type": "float32", "optional": true, "default": null }
+      { "name": "scales_h", "type": "float32?", "default": null },
+      { "name": "scales_w", "type": "float32?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -1240,9 +1447,9 @@
     "name": "aten::_upsample_bilinear2d_aa.vec",
     "inputs": [
       { "name": "input", "type": "Tensor" },
-      { "name": "output_size", "type": "SymInt[]", "optional": true },
+      { "name": "output_size", "type": "SymInt[]?" },
       { "name": "align_corners", "type": "boolean" },
-      { "name": "scale_factors", "type": "float32[]", "optional": true }
+      { "name": "scale_factors", "type": "float32[]?" }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -1404,6 +1611,7 @@
   },
   {
     "name": "aten::adaptive_avg_pool2d.out",
+    "category": "Pool",
     "inputs": [
       { "name": "self", "type": "Tensor" },
       { "name": "output_size", "type": "SymInt[2]" }
@@ -1828,7 +2036,7 @@
     "name": "aten::all.dims",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "dim", "type": "int64[]", "optional": true, "default": null },
+      { "name": "dim", "type": "int64[]?", "default": null },
       { "name": "keepdim", "type": "boolean", "default": false }
     ],
     "outputs": [
@@ -1839,7 +2047,7 @@
     "name": "aten::all.dims_out",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "dim", "type": "int64[]", "optional": true, "default": null },
+      { "name": "dim", "type": "int64[]?", "default": null },
       { "name": "keepdim", "type": "boolean", "default": false }
     ],
     "outputs": [
@@ -1947,7 +2155,7 @@
     "name": "aten::aminmax",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "dim", "type": "int64", "optional": true, "default": null, "kwarg_only": true },
+      { "name": "dim", "type": "int64?", "default": null, "kwarg_only": true },
       { "name": "keepdim", "type": "boolean", "default": false, "kwarg_only": true }
     ],
     "outputs": [
@@ -1959,7 +2167,7 @@
     "name": "aten::aminmax.out",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "dim", "type": "int64", "optional": true, "default": null, "kwarg_only": true },
+      { "name": "dim", "type": "int64?", "default": null, "kwarg_only": true },
       { "name": "keepdim", "type": "boolean", "default": false, "kwarg_only": true }
     ],
     "outputs": [
@@ -2027,7 +2235,7 @@
     "name": "aten::any.dimname",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "dim", "type": "Dimname" },
+      { "name": "dim", "type": "string" },
       { "name": "keepdim", "type": "boolean", "default": false }
     ],
     "outputs": [
@@ -2038,7 +2246,7 @@
     "name": "aten::any.dimname_out",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "dim", "type": "Dimname" },
+      { "name": "dim", "type": "string" },
       { "name": "keepdim", "type": "boolean", "default": false }
     ],
     "outputs": [
@@ -2049,7 +2257,7 @@
     "name": "aten::any.dims",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "dim", "type": "int64[]", "optional": true, "default": null },
+      { "name": "dim", "type": "int64[]?", "default": null },
       { "name": "keepdim", "type": "boolean", "default": false }
     ],
     "outputs": [
@@ -2060,7 +2268,7 @@
     "name": "aten::any.dims_out",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "dim", "type": "int64[]", "optional": true, "default": null },
+      { "name": "dim", "type": "int64[]?", "default": null },
       { "name": "keepdim", "type": "boolean", "default": false }
     ],
     "outputs": [
@@ -2105,14 +2313,24 @@
       { "type": "boolean" }
     ]
   },
+  {
+    "name": "aten::append.t",
+    "inputs": [
+      { "name": "self", "type": "t[]" },
+      { "name": "el", "type": "t" }
+    ],
+    "outputs": [
+      { "type": "t[]" }
+    ]
+  },
   {
     "name": "aten::arange",
     "inputs": [
       { "name": "end", "type": "Scalar" },
-      { "name": "dtype", "type": "ScalarType", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "layout", "type": "Layout", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "device", "type": "Device", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "pin_memory", "type": "boolean", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "dtype", "type": "ScalarType?", "default": null, "kwarg_only": true },
+      { "name": "layout", "type": "Layout?", "default": null, "kwarg_only": true },
+      { "name": "device", "type": "Device?", "default": null, "kwarg_only": true },
+      { "name": "pin_memory", "type": "boolean?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -2132,10 +2350,10 @@
     "inputs": [
       { "name": "start", "type": "Scalar" },
       { "name": "end", "type": "Scalar" },
-      { "name": "dtype", "type": "ScalarType", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "layout", "type": "Layout", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "device", "type": "Device", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "pin_memory", "type": "boolean", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "dtype", "type": "ScalarType?", "default": null, "kwarg_only": true },
+      { "name": "layout", "type": "Layout?", "default": null, "kwarg_only": true },
+      { "name": "device", "type": "Device?", "default": null, "kwarg_only": true },
+      { "name": "pin_memory", "type": "boolean?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -2168,10 +2386,10 @@
       { "name": "start", "type": "Scalar" },
       { "name": "end", "type": "Scalar" },
       { "name": "step", "type": "Scalar", "default": 1 },
-      { "name": "dtype", "type": "ScalarType", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "layout", "type": "Layout", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "device", "type": "Device", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "pin_memory", "type": "boolean", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "dtype", "type": "ScalarType?", "default": null, "kwarg_only": true },
+      { "name": "layout", "type": "Layout?", "default": null, "kwarg_only": true },
+      { "name": "device", "type": "Device?", "default": null, "kwarg_only": true },
+      { "name": "pin_memory", "type": "boolean?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -2208,7 +2426,7 @@
     "name": "aten::argmax",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "dim", "type": "int64", "optional": true, "default": null },
+      { "name": "dim", "type": "int64?", "default": null },
       { "name": "keepdim", "type": "boolean", "default": false }
     ],
     "outputs": [
@@ -2219,7 +2437,7 @@
     "name": "aten::argmax.out",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "dim", "type": "int64", "optional": true, "default": null },
+      { "name": "dim", "type": "int64?", "default": null },
       { "name": "keepdim", "type": "boolean", "default": false }
     ],
     "outputs": [
@@ -2230,7 +2448,7 @@
     "name": "aten::argmin",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "dim", "type": "int64", "optional": true, "default": null },
+      { "name": "dim", "type": "int64?", "default": null },
       { "name": "keepdim", "type": "boolean", "default": false }
     ],
     "outputs": [
@@ -2241,7 +2459,7 @@
     "name": "aten::argmin.out",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "dim", "type": "int64", "optional": true, "default": null },
+      { "name": "dim", "type": "int64?", "default": null },
       { "name": "keepdim", "type": "boolean", "default": false }
     ],
     "outputs": [
@@ -2309,7 +2527,7 @@
       { "name": "self", "type": "Tensor" },
       { "name": "size", "type": "SymInt[]" },
       { "name": "stride", "type": "SymInt[]" },
-      { "name": "storage_offset", "type": "SymInt", "optional": true, "default": null }
+      { "name": "storage_offset", "type": "SymInt?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -2321,7 +2539,7 @@
       { "name": "self", "type": "Tensor" },
       { "name": "size", "type": "SymInt[]" },
       { "name": "stride", "type": "SymInt[]" },
-      { "name": "storage_offset", "type": "SymInt", "optional": true, "default": null }
+      { "name": "storage_offset", "type": "SymInt?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -2333,7 +2551,7 @@
       { "name": "self", "type": "Tensor" },
       { "name": "size", "type": "SymInt[]" },
       { "name": "stride", "type": "SymInt[]" },
-      { "name": "storage_offset", "type": "SymInt", "optional": true, "default": null }
+      { "name": "storage_offset", "type": "SymInt?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -2346,7 +2564,7 @@
       { "name": "src", "type": "Tensor" },
       { "name": "size", "type": "SymInt[]" },
       { "name": "stride", "type": "SymInt[]" },
-      { "name": "storage_offset", "type": "SymInt", "optional": true, "default": null }
+      { "name": "storage_offset", "type": "SymInt?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -2356,8 +2574,8 @@
     "name": "aten::as_tensor",
     "inputs": [
       { "name": "data", "type": "Tensor" },
-      { "name": "dtype", "type": "ScalarType", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "device", "type": "Device", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "dtype", "type": "ScalarType?", "default": null, "kwarg_only": true },
+      { "name": "device", "type": "Device?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor", "name": "aten" }
@@ -2367,8 +2585,8 @@
     "name": "aten::as_tensor.bool",
     "inputs": [
       { "name": "t", "type": "boolean" },
-      { "name": "dtype", "type": "ScalarType", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "device", "type": "Device", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "dtype", "type": "ScalarType?", "default": null, "kwarg_only": true },
+      { "name": "device", "type": "Device?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -2378,8 +2596,8 @@
     "name": "aten::as_tensor.complex",
     "inputs": [
       { "name": "t", "type": "complex" },
-      { "name": "dtype", "type": "ScalarType", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "device", "type": "Device", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "dtype", "type": "ScalarType?", "default": null, "kwarg_only": true },
+      { "name": "device", "type": "Device?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -2389,8 +2607,8 @@
     "name": "aten::as_tensor.float",
     "inputs": [
       { "name": "t", "type": "float32" },
-      { "name": "dtype", "type": "ScalarType", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "device", "type": "Device", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "dtype", "type": "ScalarType?", "default": null, "kwarg_only": true },
+      { "name": "device", "type": "Device?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -2400,8 +2618,8 @@
     "name": "aten::as_tensor.int",
     "inputs": [
       { "name": "t", "type": "int64" },
-      { "name": "dtype", "type": "ScalarType", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "device", "type": "Device", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "dtype", "type": "ScalarType?", "default": null, "kwarg_only": true },
+      { "name": "device", "type": "Device?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -2411,8 +2629,8 @@
     "name": "aten::as_tensor.list",
     "inputs": [
       { "name": "data", "type": "t[]" },
-      { "name": "dtype", "type": "ScalarType", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "device", "type": "Device", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "dtype", "type": "ScalarType?", "default": null, "kwarg_only": true },
+      { "name": "device", "type": "Device?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -2563,7 +2781,7 @@
       { "name": "padding", "type": "int64[2]", "default": 0 },
       { "name": "ceil_mode", "type": "boolean", "default": false },
       { "name": "count_include_pad", "type": "boolean", "default": true },
-      { "name": "divisor_override", "type": "int64", "optional": true, "default": null }
+      { "name": "divisor_override", "type": "int64?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -2578,7 +2796,7 @@
       { "name": "padding", "type": "int64[2]", "default": 0 },
       { "name": "ceil_mode", "type": "boolean", "default": false },
       { "name": "count_include_pad", "type": "boolean", "default": true },
-      { "name": "divisor_override", "type": "int64", "optional": true, "default": null }
+      { "name": "divisor_override", "type": "int64?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -2594,7 +2812,7 @@
       { "name": "padding", "type": "int64[3]", "default": 0 },
       { "name": "ceil_mode", "type": "boolean", "default": false },
       { "name": "count_include_pad", "type": "boolean", "default": true },
-      { "name": "divisor_override", "type": "int64", "optional": true, "default": null }
+      { "name": "divisor_override", "type": "int64?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -2609,7 +2827,7 @@
       { "name": "padding", "type": "int64[3]", "default": 0 },
       { "name": "ceil_mode", "type": "boolean", "default": false },
       { "name": "count_include_pad", "type": "boolean", "default": true },
-      { "name": "divisor_override", "type": "int64", "optional": true, "default": null }
+      { "name": "divisor_override", "type": "int64?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -2659,10 +2877,10 @@
     "category": "Normalization",
     "inputs": [
       { "name": "input", "type": "Tensor" },
-      { "name": "weight", "type": "Tensor", "optional": true },
-      { "name": "bias", "type": "Tensor", "optional": true },
-      { "name": "running_mean", "type": "Tensor", "optional": true },
-      { "name": "running_var", "type": "Tensor", "optional": true },
+      { "name": "weight", "type": "Tensor?" },
+      { "name": "bias", "type": "Tensor?" },
+      { "name": "running_mean", "type": "Tensor?" },
+      { "name": "running_var", "type": "Tensor?" },
       { "name": "training", "type": "boolean", "visible": false },
       { "name": "momentum", "type": "float32", "default": 0.1 },
       { "name": "eps", "type": "float32", "default": 1e-05 },
@@ -2676,7 +2894,7 @@
     "name": "aten::bernoulli",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "generator", "type": "Generator", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "generator", "type": "Generator?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -2686,7 +2904,7 @@
     "name": "aten::bernoulli.out",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "generator", "type": "Generator", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "generator", "type": "Generator?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -2697,7 +2915,7 @@
     "inputs": [
       { "name": "self", "type": "Tensor" },
       { "name": "p", "type": "float32", "default": 0.5 },
-      { "name": "generator", "type": "Generator", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "generator", "type": "Generator?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -2708,7 +2926,7 @@
     "inputs": [
       { "name": "self", "type": "Tensor" },
       { "name": "p", "type": "Tensor" },
-      { "name": "generator", "type": "Generator", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "generator", "type": "Generator?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -2719,7 +2937,7 @@
     "inputs": [
       { "name": "self", "type": "Tensor" },
       { "name": "p", "type": "float32", "default": 0.5 },
-      { "name": "generator", "type": "Generator", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "generator", "type": "Generator?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -2739,7 +2957,7 @@
     "inputs": [
       { "name": "self", "type": "Tensor" },
       { "name": "target", "type": "Tensor" },
-      { "name": "weight", "type": "Tensor", "optional": true, "default": null },
+      { "name": "weight", "type": "Tensor?", "default": null },
       { "name": "reduction", "type": "int64", "default": "Mean" }
     ],
     "outputs": [
@@ -2751,7 +2969,7 @@
     "inputs": [
       { "name": "self", "type": "Tensor" },
       { "name": "target", "type": "Tensor" },
-      { "name": "weight", "type": "Tensor", "optional": true, "default": null },
+      { "name": "weight", "type": "Tensor?", "default": null },
       { "name": "reduction", "type": "int64", "default": "Mean" }
     ],
     "outputs": [
@@ -2764,7 +2982,7 @@
       { "name": "grad_output", "type": "Tensor" },
       { "name": "self", "type": "Tensor" },
       { "name": "target", "type": "Tensor" },
-      { "name": "weight", "type": "Tensor", "optional": true, "default": null },
+      { "name": "weight", "type": "Tensor?", "default": null },
       { "name": "reduction", "type": "int64", "default": "Mean" }
     ],
     "outputs": [
@@ -2777,7 +2995,7 @@
       { "name": "grad_output", "type": "Tensor" },
       { "name": "self", "type": "Tensor" },
       { "name": "target", "type": "Tensor" },
-      { "name": "weight", "type": "Tensor", "optional": true, "default": null },
+      { "name": "weight", "type": "Tensor?", "default": null },
       { "name": "reduction", "type": "int64", "default": "Mean" }
     ],
     "outputs": [
@@ -2789,8 +3007,8 @@
     "inputs": [
       { "name": "self", "type": "Tensor" },
       { "name": "target", "type": "Tensor" },
-      { "name": "weight", "type": "Tensor", "optional": true, "default": null },
-      { "name": "pos_weight", "type": "Tensor", "optional": true, "default": null },
+      { "name": "weight", "type": "Tensor?", "default": null },
+      { "name": "pos_weight", "type": "Tensor?", "default": null },
       { "name": "reduction", "type": "int64", "default": "Mean" }
     ],
     "outputs": [
@@ -2801,7 +3019,7 @@
     "name": "aten::bincount",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "weights", "type": "Tensor", "optional": true, "default": null },
+      { "name": "weights", "type": "Tensor?", "default": null },
       { "name": "minlength", "type": "int64", "default": 0 }
     ],
     "outputs": [
@@ -2813,7 +3031,7 @@
     "inputs": [
       { "name": "count", "type": "Tensor" },
       { "name": "prob", "type": "Tensor" },
-      { "name": "generator", "type": "Generator", "optional": true, "default": null }
+      { "name": "generator", "type": "Generator?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -3079,7 +3297,7 @@
       { "name": "self", "type": "Tensor" },
       { "name": "median", "type": "float32", "default": 0 },
       { "name": "sigma", "type": "float32", "default": 1 },
-      { "name": "generator", "type": "Generator", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "generator", "type": "Generator?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -3091,7 +3309,7 @@
       { "name": "x1", "type": "Tensor" },
       { "name": "x2", "type": "Tensor" },
       { "name": "p", "type": "float32", "default": 2 },
-      { "name": "compute_mode", "type": "int64", "optional": true, "default": null }
+      { "name": "compute_mode", "type": "int64?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -3106,6 +3324,33 @@
       { "type": "Tensor" }
     ]
   },
+  {
+    "name": "aten::ceil.Scalar",
+    "inputs": [
+      { "name": "a", "type": "Scalar" }
+    ],
+    "outputs": [
+      { "type": "Scalar" }
+    ]
+  },
+  {
+    "name": "aten::ceil.float",
+    "inputs": [
+      { "name": "a", "type": "float32" }
+    ],
+    "outputs": [
+      { "type": "int64" }
+    ]
+  },
+  {
+    "name": "aten::ceil.int",
+    "inputs": [
+      { "name": "a", "type": "int64" }
+    ],
+    "outputs": [
+      { "type": "int64" }
+    ]
+  },
   {
     "name": "aten::ceil.out",
     "inputs": [
@@ -3170,8 +3415,8 @@
     "name": "aten::clamp",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "min", "type": "Scalar", "optional": true, "default": null },
-      { "name": "max", "type": "Scalar", "optional": true, "default": null }
+      { "name": "min", "type": "Scalar?", "default": null },
+      { "name": "max", "type": "Scalar?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -3181,8 +3426,8 @@
     "name": "aten::clamp.Tensor",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "min", "type": "Tensor", "optional": true, "default": null },
-      { "name": "max", "type": "Tensor", "optional": true, "default": null }
+      { "name": "min", "type": "Tensor?", "default": null },
+      { "name": "max", "type": "Tensor?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -3192,8 +3437,8 @@
     "name": "aten::clamp.Tensor_out",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "min", "type": "Tensor", "optional": true, "default": null },
-      { "name": "max", "type": "Tensor", "optional": true, "default": null }
+      { "name": "min", "type": "Tensor?", "default": null },
+      { "name": "max", "type": "Tensor?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -3203,8 +3448,8 @@
     "name": "aten::clamp.out",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "min", "type": "Scalar", "optional": true, "default": null },
-      { "name": "max", "type": "Scalar", "optional": true, "default": null }
+      { "name": "min", "type": "Scalar?", "default": null },
+      { "name": "max", "type": "Scalar?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -3214,8 +3459,8 @@
     "name": "aten::clamp_",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "min", "type": "Scalar", "optional": true, "default": null },
-      { "name": "max", "type": "Scalar", "optional": true, "default": null }
+      { "name": "min", "type": "Scalar?", "default": null },
+      { "name": "max", "type": "Scalar?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -3225,8 +3470,8 @@
     "name": "aten::clamp_.Tensor",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "min", "type": "Tensor", "optional": true, "default": null },
-      { "name": "max", "type": "Tensor", "optional": true, "default": null }
+      { "name": "min", "type": "Tensor?", "default": null },
+      { "name": "max", "type": "Tensor?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -3367,8 +3612,8 @@
     "name": "aten::clip",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "min", "type": "Scalar", "optional": true, "default": null },
-      { "name": "max", "type": "Scalar", "optional": true, "default": null }
+      { "name": "min", "type": "Scalar?", "default": null },
+      { "name": "max", "type": "Scalar?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -3378,8 +3623,8 @@
     "name": "aten::clip.Tensor",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "min", "type": "Tensor", "optional": true, "default": null },
-      { "name": "max", "type": "Tensor", "optional": true, "default": null }
+      { "name": "min", "type": "Tensor?", "default": null },
+      { "name": "max", "type": "Tensor?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -3389,8 +3634,8 @@
     "name": "aten::clip.Tensor_out",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "min", "type": "Tensor", "optional": true, "default": null },
-      { "name": "max", "type": "Tensor", "optional": true, "default": null }
+      { "name": "min", "type": "Tensor?", "default": null },
+      { "name": "max", "type": "Tensor?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -3400,8 +3645,8 @@
     "name": "aten::clip.out",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "min", "type": "Scalar", "optional": true, "default": null },
-      { "name": "max", "type": "Scalar", "optional": true, "default": null }
+      { "name": "min", "type": "Scalar?", "default": null },
+      { "name": "max", "type": "Scalar?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -3411,8 +3656,8 @@
     "name": "aten::clip_",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "min", "type": "Scalar", "optional": true, "default": null },
-      { "name": "max", "type": "Scalar", "optional": true, "default": null }
+      { "name": "min", "type": "Scalar?", "default": null },
+      { "name": "max", "type": "Scalar?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -3422,8 +3667,8 @@
     "name": "aten::clip_.Tensor",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "min", "type": "Tensor", "optional": true, "default": null },
-      { "name": "max", "type": "Tensor", "optional": true, "default": null }
+      { "name": "min", "type": "Tensor?", "default": null },
+      { "name": "max", "type": "Tensor?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -3433,7 +3678,7 @@
     "name": "aten::clone",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "memory_format", "type": "MemoryFormat", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "memory_format", "type": "MemoryFormat?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -3633,7 +3878,7 @@
     "inputs": [
       { "name": "input", "type": "Tensor" },
       { "name": "weight", "type": "Tensor" },
-      { "name": "bias", "type": "Tensor", "optional": true, "default": null },
+      { "name": "bias", "type": "Tensor?", "default": null },
       { "name": "stride", "type": "SymInt[1]", "default": 1 },
       { "name": "padding", "type": "SymInt[1]", "default": 0 },
       { "name": "dilation", "type": "SymInt[1]", "default": 1 },
@@ -3649,7 +3894,7 @@
     "inputs": [
       { "name": "input", "type": "Tensor" },
       { "name": "weight", "type": "Tensor" },
-      { "name": "bias", "type": "Tensor", "optional": true, "default": null },
+      { "name": "bias", "type": "Tensor?", "default": null },
       { "name": "stride", "type": "SymInt[1]", "default": 1 },
       { "name": "padding", "type": "string", "default": "valid" },
       { "name": "dilation", "type": "SymInt[1]", "default": 1 },
@@ -3665,7 +3910,7 @@
     "inputs": [
       { "name": "input", "type": "Tensor" },
       { "name": "weight", "type": "Tensor" },
-      { "name": "bias", "type": "Tensor", "optional": true, "default": null },
+      { "name": "bias", "type": "Tensor?", "default": null },
       { "name": "stride", "type": "SymInt[2]", "default": 1 },
       { "name": "padding", "type": "SymInt[2]", "default": 0 },
       { "name": "dilation", "type": "SymInt[2]", "default": 1 },
@@ -3681,7 +3926,7 @@
     "inputs": [
       { "name": "input", "type": "Tensor" },
       { "name": "weight", "type": "Tensor" },
-      { "name": "bias", "type": "Tensor", "optional": true, "default": null },
+      { "name": "bias", "type": "Tensor?", "default": null },
       { "name": "stride", "type": "SymInt[2]", "default": 1 },
       { "name": "padding", "type": "string", "default": "valid" },
       { "name": "dilation", "type": "SymInt[2]", "default": 1 },
@@ -3697,7 +3942,7 @@
     "inputs": [
       { "name": "input", "type": "Tensor" },
       { "name": "weight", "type": "Tensor" },
-      { "name": "bias", "type": "Tensor", "optional": true, "default": null },
+      { "name": "bias", "type": "Tensor?", "default": null },
       { "name": "stride", "type": "SymInt[3]", "default": 1 },
       { "name": "padding", "type": "SymInt[3]", "default": 0 },
       { "name": "dilation", "type": "SymInt[3]", "default": 1 },
@@ -3713,7 +3958,7 @@
     "inputs": [
       { "name": "input", "type": "Tensor" },
       { "name": "weight", "type": "Tensor" },
-      { "name": "bias", "type": "Tensor", "optional": true, "default": null },
+      { "name": "bias", "type": "Tensor?", "default": null },
       { "name": "stride", "type": "SymInt[3]", "default": 1 },
       { "name": "padding", "type": "string", "default": "valid" },
       { "name": "dilation", "type": "SymInt[3]", "default": 1 },
@@ -3729,7 +3974,7 @@
     "inputs": [
       { "name": "input", "type": "Tensor" },
       { "name": "weight", "type": "Tensor" },
-      { "name": "bias", "type": "Tensor", "optional": true, "default": null },
+      { "name": "bias", "type": "Tensor?", "default": null },
       { "name": "stride", "type": "SymInt[1]", "default": 1 },
       { "name": "padding", "type": "SymInt[1]", "default": 0 },
       { "name": "output_padding", "type": "SymInt[1]", "default": 0 },
@@ -3746,7 +3991,7 @@
     "inputs": [
       { "name": "input", "type": "Tensor" },
       { "name": "weight", "type": "Tensor" },
-      { "name": "bias", "type": "Tensor", "optional": true, "default": null },
+      { "name": "bias", "type": "Tensor?", "default": null },
       { "name": "stride", "type": "SymInt[2]", "default": 1 },
       { "name": "padding", "type": "SymInt[2]", "default": 0 },
       { "name": "output_padding", "type": "SymInt[2]", "default": 0 },
@@ -3763,7 +4008,7 @@
     "inputs": [
       { "name": "input", "type": "Tensor" },
       { "name": "weight", "type": "Tensor" },
-      { "name": "bias", "type": "Tensor", "optional": true, "default": null },
+      { "name": "bias", "type": "Tensor?", "default": null },
       { "name": "stride", "type": "SymInt[3]", "default": 1 },
       { "name": "padding", "type": "SymInt[3]", "default": 0 },
       { "name": "output_padding", "type": "SymInt[3]", "default": 0 },
@@ -3780,7 +4025,7 @@
     "inputs": [
       { "name": "input", "type": "Tensor" },
       { "name": "weight", "type": "Tensor" },
-      { "name": "bias", "type": "Tensor", "optional": true },
+      { "name": "bias", "type": "Tensor?" },
       { "name": "stride", "type": "SymInt[]" },
       { "name": "padding", "type": "SymInt[]" },
       { "name": "dilation", "type": "SymInt[]" },
@@ -3798,7 +4043,7 @@
       { "name": "grad_output", "type": "Tensor" },
       { "name": "input", "type": "Tensor" },
       { "name": "weight", "type": "Tensor" },
-      { "name": "bias_sizes", "type": "SymInt[]", "optional": true },
+      { "name": "bias_sizes", "type": "SymInt[]?" },
       { "name": "stride", "type": "SymInt[]" },
       { "name": "padding", "type": "SymInt[]" },
       { "name": "dilation", "type": "SymInt[]" },
@@ -3838,7 +4083,7 @@
     "inputs": [
       { "name": "input", "type": "Tensor" },
       { "name": "weight", "type": "Tensor" },
-      { "name": "bias", "type": "Tensor", "optional": true },
+      { "name": "bias", "type": "Tensor?" },
       { "name": "stride", "type": "SymInt[]" },
       { "name": "padding", "type": "SymInt[]" },
       { "name": "dilation", "type": "SymInt[]" },
@@ -3913,7 +4158,7 @@
     "name": "aten::count_nonzero",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "dim", "type": "int64", "optional": true, "default": null }
+      { "name": "dim", "type": "int64?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -3943,7 +4188,7 @@
     "inputs": [
       { "name": "self", "type": "Tensor" },
       { "name": "other", "type": "Tensor" },
-      { "name": "dim", "type": "int64", "optional": true, "default": null }
+      { "name": "dim", "type": "int64?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -3954,7 +4199,7 @@
     "inputs": [
       { "name": "self", "type": "Tensor" },
       { "name": "other", "type": "Tensor" },
-      { "name": "dim", "type": "int64", "optional": true, "default": null }
+      { "name": "dim", "type": "int64?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -3965,7 +4210,7 @@
     "inputs": [
       { "name": "self", "type": "Tensor" },
       { "name": "target", "type": "Tensor" },
-      { "name": "weight", "type": "Tensor", "optional": true, "default": null },
+      { "name": "weight", "type": "Tensor?", "default": null },
       { "name": "reduction", "type": "int64", "default": "Mean" },
       { "name": "ignore_index", "type": "SymInt", "default": -100 },
       { "name": "label_smoothing", "type": "float32", "default": 0.0 }
@@ -4010,8 +4255,8 @@
       { "name": "self", "type": "Tensor" },
       { "name": "weight", "type": "Tensor" },
       { "name": "z", "type": "Tensor" },
-      { "name": "alpha", "type": "Scalar", "optional": true },
-      { "name": "bias", "type": "Tensor", "optional": true },
+      { "name": "alpha", "type": "Scalar?" },
+      { "name": "bias", "type": "Tensor?" },
       { "name": "stride", "type": "SymInt[]" },
       { "name": "padding", "type": "SymInt[]" },
       { "name": "dilation", "type": "SymInt[]" },
@@ -4026,7 +4271,7 @@
     "inputs": [
       { "name": "self", "type": "Tensor" },
       { "name": "weight", "type": "Tensor" },
-      { "name": "bias", "type": "Tensor", "optional": true },
+      { "name": "bias", "type": "Tensor?" },
       { "name": "stride", "type": "SymInt[]" },
       { "name": "padding", "type": "SymInt[]" },
       { "name": "dilation", "type": "SymInt[]" },
@@ -4097,7 +4342,7 @@
     "inputs": [
       { "name": "self", "type": "Tensor" },
       { "name": "dim", "type": "int64" },
-      { "name": "dtype", "type": "ScalarType", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "dtype", "type": "ScalarType?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -4108,7 +4353,7 @@
     "inputs": [
       { "name": "self", "type": "Tensor" },
       { "name": "dim", "type": "Dimname" },
-      { "name": "dtype", "type": "ScalarType", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "dtype", "type": "ScalarType?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -4119,7 +4364,7 @@
     "inputs": [
       { "name": "self", "type": "Tensor" },
       { "name": "dim", "type": "Dimname" },
-      { "name": "dtype", "type": "ScalarType", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "dtype", "type": "ScalarType?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -4130,7 +4375,7 @@
     "inputs": [
       { "name": "self", "type": "Tensor" },
       { "name": "dim", "type": "int64" },
-      { "name": "dtype", "type": "ScalarType", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "dtype", "type": "ScalarType?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -4141,7 +4386,7 @@
     "inputs": [
       { "name": "self", "type": "Tensor" },
       { "name": "dim", "type": "int64" },
-      { "name": "dtype", "type": "ScalarType", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "dtype", "type": "ScalarType?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -4152,7 +4397,7 @@
     "inputs": [
       { "name": "self", "type": "Tensor" },
       { "name": "dim", "type": "Dimname" },
-      { "name": "dtype", "type": "ScalarType", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "dtype", "type": "ScalarType?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -4341,122 +4586,298 @@
     ]
   },
   {
-    "name": "aten::diff",
-    "inputs": [
-      { "name": "self", "type": "Tensor" },
-      { "name": "n", "type": "int64", "default": 1 },
-      { "name": "dim", "type": "int64", "default": -1 },
-      { "name": "prepend", "type": "Tensor", "optional": true, "default": null },
-      { "name": "append", "type": "Tensor", "optional": true, "default": null }
-    ],
+    "name": "aten::dict",
+    "inputs": [],
     "outputs": [
-      { "type": "Tensor" }
+      { "type": "Dict(string, Tensor)" }
     ]
   },
   {
-    "name": "aten::diff.out",
+    "name": "aten::dict.Dict_Tensor",
     "inputs": [
-      { "name": "self", "type": "Tensor" },
-      { "name": "n", "type": "int64", "default": 1 },
-      { "name": "dim", "type": "int64", "default": -1 },
-      { "name": "prepend", "type": "Tensor", "optional": true, "default": null },
-      { "name": "append", "type": "Tensor", "optional": true, "default": null }
+      { "name": "self", "type": "Dict(Tensor, t)" }
     ],
     "outputs": [
-      { "type": "Tensor" }
+      { "type": "Dict(Tensor, t)" }
     ]
   },
   {
-    "name": "aten::dim",
+    "name": "aten::dict.Dict_bool",
     "inputs": [
-      { "name": "self", "type": "Tensor" }
+      { "name": "self", "type": "Dict(boolean, t)" }
     ],
     "outputs": [
-      { "type": "int64" }
+      { "type": "Dict(boolean, t)" }
     ]
   },
   {
-    "name": "aten::dist",
+    "name": "aten::dict.Dict_complex",
     "inputs": [
-      { "name": "self", "type": "Tensor" },
-      { "name": "other", "type": "Tensor" },
-      { "name": "p", "type": "Scalar", "default": 2 }
+      { "name": "self", "type": "Dict(complex, t)" }
     ],
     "outputs": [
-      { "type": "Tensor" }
+      { "type": "Dict(complex, t)" }
     ]
   },
   {
-    "name": "aten::div.Scalar",
+    "name": "aten::dict.Dict_float",
     "inputs": [
-      { "name": "self", "type": "Tensor" },
-      { "name": "other", "type": "Scalar" }
+      { "name": "self", "type": "Dict(float32, t)" }
     ],
     "outputs": [
-      { "type": "Tensor" }
+      { "type": "Dict(float32, t)" }
     ]
   },
   {
-    "name": "aten::div.Scalar_mode",
+    "name": "aten::dict.Dict_int",
     "inputs": [
-      { "name": "self", "type": "Tensor" },
-      { "name": "other", "type": "Scalar" },
-      { "name": "rounding_mode", "type": "string", "optional": true, "kwarg_only": true }
+      { "name": "self", "type": "Dict(int64, t)" }
     ],
     "outputs": [
-      { "type": "Tensor" }
+      { "type": "Dict(int64, t)" }
     ]
   },
   {
-    "name": "aten::div.Tensor",
+    "name": "aten::dict.Dict_str",
     "inputs": [
-      { "name": "self", "type": "Tensor" },
-      { "name": "other", "type": "Tensor" }
+      { "name": "self", "type": "Dict(string, t)" }
     ],
     "outputs": [
-      { "type": "Tensor" }
+      { "type": "Dict(string, t)" }
     ]
   },
   {
-    "name": "aten::div.Tensor_mode",
+    "name": "aten::dict.Tensor",
     "inputs": [
-      { "name": "self", "type": "Tensor" },
-      { "name": "other", "type": "Tensor" },
-      { "name": "rounding_mode", "type": "string", "optional": true, "kwarg_only": true }
+      { "name": "inputs", "type": "(Tensor, tVal)[]" }
     ],
     "outputs": [
-      { "type": "Tensor" }
+      { "type": "Dict(Tensor, tVal)" }
     ]
   },
   {
-    "name": "aten::div.out",
+    "name": "aten::dict.bool",
     "inputs": [
-      { "name": "self", "type": "Tensor" },
-      { "name": "other", "type": "Tensor" }
+      { "name": "inputs", "type": "(boolean, tVal)[]" }
     ],
     "outputs": [
-      { "type": "Tensor" }
+      { "type": "Dict(boolean, tVal)" }
     ]
   },
   {
-    "name": "aten::div.out_mode",
+    "name": "aten::dict.complex",
     "inputs": [
-      { "name": "self", "type": "Tensor" },
-      { "name": "other", "type": "Tensor" },
-      { "name": "rounding_mode", "type": "string", "optional": true, "kwarg_only": true }
+      { "name": "inputs", "type": "(complex, tVal)[]" }
     ],
     "outputs": [
-      { "type": "Tensor" }
+      { "type": "Dict(complex, tVal)" }
     ]
   },
   {
-    "name": "aten::div_.Scalar",
+    "name": "aten::dict.float",
     "inputs": [
-      { "name": "self", "type": "Tensor" },
-      { "name": "other", "type": "Scalar" }
+      { "name": "inputs", "type": "(float32, tVal)[]" }
     ],
     "outputs": [
-      { "type": "Tensor" }
+      { "type": "Dict(float32, tVal)" }
+    ]
+  },
+  {
+    "name": "aten::dict.int",
+    "inputs": [
+      { "name": "inputs", "type": "(int64, tVal)[]" }
+    ],
+    "outputs": [
+      { "type": "Dict(int64, tVal)" }
+    ]
+  },
+  {
+    "name": "aten::dict.str",
+    "inputs": [
+      { "name": "inputs", "type": "(string, tVal)[]" }
+    ],
+    "outputs": [
+      { "type": "Dict(string, tVal)" }
+    ]
+  },
+  {
+    "name": "aten::diff",
+    "inputs": [
+      { "name": "self", "type": "Tensor" },
+      { "name": "n", "type": "int64", "default": 1 },
+      { "name": "dim", "type": "int64", "default": -1 },
+      { "name": "prepend", "type": "Tensor?", "default": null },
+      { "name": "append", "type": "Tensor?", "default": null }
+    ],
+    "outputs": [
+      { "type": "Tensor" }
+    ]
+  },
+  {
+    "name": "aten::diff.out",
+    "inputs": [
+      { "name": "self", "type": "Tensor" },
+      { "name": "n", "type": "int64", "default": 1 },
+      { "name": "dim", "type": "int64", "default": -1 },
+      { "name": "prepend", "type": "Tensor?", "default": null },
+      { "name": "append", "type": "Tensor?", "default": null }
+    ],
+    "outputs": [
+      { "type": "Tensor" }
+    ]
+  },
+  {
+    "name": "aten::dim",
+    "inputs": [
+      { "name": "self", "type": "Tensor" }
+    ],
+    "outputs": [
+      { "type": "int64" }
+    ]
+  },
+  {
+    "name": "aten::dist",
+    "inputs": [
+      { "name": "self", "type": "Tensor" },
+      { "name": "other", "type": "Tensor" },
+      { "name": "p", "type": "Scalar", "default": 2 }
+    ],
+    "outputs": [
+      { "type": "Tensor" }
+    ]
+  },
+  {
+    "name": "aten::div",
+    "inputs": [
+      { "name": "a", "type": "Scalar" },
+      { "name": "b", "type": "Scalar" }
+    ],
+    "outputs": [
+      { "type": "float32" }
+    ]
+  },
+  {
+    "name": "aten::div.Scalar",
+    "inputs": [
+      { "name": "self", "type": "Tensor" },
+      { "name": "other", "type": "Scalar" }
+    ],
+    "outputs": [
+      { "type": "Tensor" }
+    ]
+  },
+  {
+    "name": "aten::div.Scalar_mode",
+    "inputs": [
+      { "name": "self", "type": "Tensor" },
+      { "name": "other", "type": "Scalar" },
+      { "name": "rounding_mode", "type": "string?", "kwarg_only": true }
+    ],
+    "outputs": [
+      { "type": "Tensor" }
+    ]
+  },
+  {
+    "name": "aten::div.Scalar_mode_out",
+    "inputs": [
+      { "name": "self", "type": "Tensor" },
+      { "name": "other", "type": "Scalar" },
+      { "name": "rounding_mode", "type": "string?", "kwarg_only": true }
+    ],
+    "outputs": [
+      { "type": "Tensor" }
+    ]
+  },
+  {
+    "name": "aten::div.Scalar_out",
+    "inputs": [
+      { "name": "self", "type": "Tensor" },
+      { "name": "other", "type": "Scalar" }
+    ],
+    "outputs": [
+      { "type": "Tensor" }
+    ]
+  },
+  {
+    "name": "aten::div.Tensor",
+    "inputs": [
+      { "name": "self", "type": "Tensor" },
+      { "name": "other", "type": "Tensor" }
+    ],
+    "outputs": [
+      { "type": "Tensor" }
+    ]
+  },
+  {
+    "name": "aten::div.Tensor_mode",
+    "inputs": [
+      { "name": "self", "type": "Tensor" },
+      { "name": "other", "type": "Tensor" },
+      { "name": "rounding_mode", "type": "string?", "kwarg_only": true }
+    ],
+    "outputs": [
+      { "type": "Tensor" }
+    ]
+  },
+  {
+    "name": "aten::div.complex",
+    "inputs": [
+      { "name": "a", "type": "complex" },
+      { "name": "b", "type": "complex" }
+    ],
+    "outputs": [
+      { "type": "complex" }
+    ]
+  },
+  {
+    "name": "aten::div.float",
+    "inputs": [
+      { "name": "a", "type": "float32" },
+      { "name": "b", "type": "float32" }
+    ],
+    "outputs": [
+      { "type": "float32" }
+    ]
+  },
+  {
+    "name": "aten::div.int",
+    "inputs": [
+      { "name": "a", "type": "int64" },
+      { "name": "b", "type": "int64" }
+    ],
+    "outputs": [
+      { "type": "float32" }
+    ]
+  },
+  {
+    "name": "aten::div.out",
+    "inputs": [
+      { "name": "self", "type": "Tensor" },
+      { "name": "other", "type": "Tensor" }
+    ],
+    "outputs": [
+      { "type": "Tensor" }
+    ]
+  },
+  {
+    "name": "aten::div.out_mode",
+    "inputs": [
+      { "name": "self", "type": "Tensor" },
+      { "name": "other", "type": "Tensor" },
+      { "name": "rounding_mode", "type": "string?", "kwarg_only": true }
+    ],
+    "outputs": [
+      { "type": "Tensor" }
+    ]
+  },
+  {
+    "name": "aten::div_.Scalar",
+    "inputs": [
+      { "name": "self", "type": "Tensor" },
+      { "name": "other", "type": "Scalar" }
+    ],
+    "outputs": [
+      { "type": "Tensor" }
     ]
   },
   {
@@ -4464,7 +4885,7 @@
     "inputs": [
       { "name": "self", "type": "Tensor" },
       { "name": "other", "type": "Scalar" },
-      { "name": "rounding_mode", "type": "string", "optional": true, "kwarg_only": true }
+      { "name": "rounding_mode", "type": "string?", "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -4485,7 +4906,7 @@
     "inputs": [
       { "name": "self", "type": "Tensor" },
       { "name": "other", "type": "Tensor" },
-      { "name": "rounding_mode", "type": "string", "optional": true, "kwarg_only": true }
+      { "name": "rounding_mode", "type": "string?", "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -4506,7 +4927,7 @@
     "inputs": [
       { "name": "self", "type": "Tensor" },
       { "name": "other", "type": "Scalar" },
-      { "name": "rounding_mode", "type": "string", "optional": true, "kwarg_only": true }
+      { "name": "rounding_mode", "type": "string?", "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -4527,7 +4948,7 @@
     "inputs": [
       { "name": "self", "type": "Tensor" },
       { "name": "other", "type": "Tensor" },
-      { "name": "rounding_mode", "type": "string", "optional": true, "kwarg_only": true }
+      { "name": "rounding_mode", "type": "string?", "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -4548,7 +4969,7 @@
     "inputs": [
       { "name": "self", "type": "Tensor" },
       { "name": "other", "type": "Tensor" },
-      { "name": "rounding_mode", "type": "string", "optional": true, "kwarg_only": true }
+      { "name": "rounding_mode", "type": "string?", "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -4569,7 +4990,7 @@
     "inputs": [
       { "name": "self", "type": "Tensor" },
       { "name": "other", "type": "Scalar" },
-      { "name": "rounding_mode", "type": "string", "optional": true, "kwarg_only": true }
+      { "name": "rounding_mode", "type": "string?", "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -4590,7 +5011,7 @@
     "inputs": [
       { "name": "self", "type": "Tensor" },
       { "name": "other", "type": "Tensor" },
-      { "name": "rounding_mode", "type": "string", "optional": true, "kwarg_only": true }
+      { "name": "rounding_mode", "type": "string?", "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -4667,7 +5088,7 @@
     "inputs": [
       { "name": "equation", "type": "string" },
       { "name": "tensors", "type": "Tensor[]" },
-      { "name": "path", "type": "int64[]", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "path", "type": "int64[]?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -4744,7 +5165,7 @@
       { "name": "scale_grad_by_freq", "type": "boolean", "default": false },
       { "name": "mode", "type": "int64", "default": 0 },
       { "name": "sparse", "type": "boolean", "default": false },
-      { "name": "per_sample_weights", "type": "Tensor", "optional": true, "default": null },
+      { "name": "per_sample_weights", "type": "Tensor?", "default": null },
       { "name": "include_last_offset", "type": "boolean", "default": false }
     ],
     "outputs": [
@@ -4763,9 +5184,9 @@
       { "name": "scale_grad_by_freq", "type": "boolean" },
       { "name": "mode", "type": "int64" },
       { "name": "sparse", "type": "boolean" },
-      { "name": "per_sample_weights", "type": "Tensor", "optional": true },
+      { "name": "per_sample_weights", "type": "Tensor?" },
       { "name": "include_last_offset", "type": "boolean" },
-      { "name": "padding_idx", "type": "int64", "optional": true }
+      { "name": "padding_idx", "type": "int64?" }
     ],
     "outputs": [
       { "type": "Tensor" },
@@ -4790,11 +5211,11 @@
     "name": "aten::empty.memory_format",
     "inputs": [
       { "name": "size", "type": "SymInt[]" },
-      { "name": "dtype", "type": "ScalarType", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "layout", "type": "Layout", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "device", "type": "Device", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "pin_memory", "type": "boolean", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "memory_format", "type": "MemoryFormat", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "dtype", "type": "ScalarType?", "default": null, "kwarg_only": true },
+      { "name": "layout", "type": "Layout?", "default": null, "kwarg_only": true },
+      { "name": "device", "type": "Device?", "default": null, "kwarg_only": true },
+      { "name": "pin_memory", "type": "boolean?", "default": null, "kwarg_only": true },
+      { "name": "memory_format", "type": "MemoryFormat?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -4804,12 +5225,12 @@
     "name": "aten::empty.names",
     "inputs": [
       { "name": "size", "type": "int64[]" },
-      { "name": "names", "type": "Dimname[]", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "dtype", "type": "ScalarType", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "layout", "type": "Layout", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "device", "type": "Device", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "pin_memory", "type": "boolean", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "memory_format", "type": "MemoryFormat", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "names", "type": "Dimname[]?", "default": null, "kwarg_only": true },
+      { "name": "dtype", "type": "ScalarType?", "default": null, "kwarg_only": true },
+      { "name": "layout", "type": "Layout?", "default": null, "kwarg_only": true },
+      { "name": "device", "type": "Device?", "default": null, "kwarg_only": true },
+      { "name": "pin_memory", "type": "boolean?", "default": null, "kwarg_only": true },
+      { "name": "memory_format", "type": "MemoryFormat?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -4819,7 +5240,7 @@
     "name": "aten::empty.out",
     "inputs": [
       { "name": "size", "type": "SymInt[]" },
-      { "name": "memory_format", "type": "MemoryFormat", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "memory_format", "type": "MemoryFormat?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -4829,16 +5250,26 @@
     "name": "aten::empty_like",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "dtype", "type": "ScalarType", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "layout", "type": "Layout", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "device", "type": "Device", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "pin_memory", "type": "boolean", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "memory_format", "type": "MemoryFormat", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "dtype", "type": "ScalarType?", "default": null, "kwarg_only": true },
+      { "name": "layout", "type": "Layout?", "default": null, "kwarg_only": true },
+      { "name": "device", "type": "Device?", "default": null, "kwarg_only": true },
+      { "name": "pin_memory", "type": "boolean?", "default": null, "kwarg_only": true },
+      { "name": "memory_format", "type": "MemoryFormat?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
     ]
   },
+  {
+    "name": "aten::eq",
+    "inputs": [
+      { "name": "a", "type": "Scalar" },
+      { "name": "b", "type": "Scalar" }
+    ],
+    "outputs": [
+      { "type": "boolean" }
+    ]
+  },
   {
     "name": "aten::eq.Scalar",
     "inputs": [
@@ -4909,6 +5340,26 @@
       { "type": "boolean" }
     ]
   },
+  {
+    "name": "aten::eq.complex",
+    "inputs": [
+      { "name": "a", "type": "complex" },
+      { "name": "b", "type": "complex" }
+    ],
+    "outputs": [
+      { "type": "boolean" }
+    ]
+  },
+  {
+    "name": "aten::eq.complex_float",
+    "inputs": [
+      { "name": "a", "type": "complex" },
+      { "name": "b", "type": "float32" }
+    ],
+    "outputs": [
+      { "type": "boolean" }
+    ]
+  },
   {
     "name": "aten::eq.device",
     "inputs": [
@@ -4929,6 +5380,36 @@
       { "type": "boolean" }
     ]
   },
+  {
+    "name": "aten::eq.float",
+    "inputs": [
+      { "name": "a", "type": "float32" },
+      { "name": "b", "type": "float32" }
+    ],
+    "outputs": [
+      { "type": "boolean" }
+    ]
+  },
+  {
+    "name": "aten::eq.float_complex",
+    "inputs": [
+      { "name": "a", "type": "float32" },
+      { "name": "b", "type": "complex" }
+    ],
+    "outputs": [
+      { "type": "boolean" }
+    ]
+  },
+  {
+    "name": "aten::eq.float_int",
+    "inputs": [
+      { "name": "a", "type": "float32" },
+      { "name": "b", "type": "int64" }
+    ],
+    "outputs": [
+      { "type": "boolean" }
+    ]
+  },
   {
     "name": "aten::eq.float_list",
     "inputs": [
@@ -4939,6 +5420,26 @@
       { "type": "boolean" }
     ]
   },
+  {
+    "name": "aten::eq.int",
+    "inputs": [
+      { "name": "a", "type": "int64" },
+      { "name": "b", "type": "int64" }
+    ],
+    "outputs": [
+      { "type": "boolean" }
+    ]
+  },
+  {
+    "name": "aten::eq.int_float",
+    "inputs": [
+      { "name": "a", "type": "int64" },
+      { "name": "b", "type": "float32" }
+    ],
+    "outputs": [
+      { "type": "boolean" }
+    ]
+  },
   {
     "name": "aten::eq.int_list",
     "inputs": [
@@ -4949,6 +5450,16 @@
       { "type": "boolean" }
     ]
   },
+  {
+    "name": "aten::eq.str",
+    "inputs": [
+      { "name": "a", "type": "string" },
+      { "name": "b", "type": "string" }
+    ],
+    "outputs": [
+      { "type": "boolean" }
+    ]
+  },
   {
     "name": "aten::eq.str_list",
     "inputs": [
@@ -5085,20 +5596,28 @@
     "inputs": [
       { "name": "self", "type": "Tensor" },
       { "name": "lambd", "type": "float32", "default": 1 },
-      { "name": "generator", "type": "Generator", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "generator", "type": "Generator?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
     ]
   },
+  {
+    "name": "aten::extend.t",
+    "inputs": [
+      { "name": "self", "type": "t[]" },
+      { "name": "other", "type": "t[]" }
+    ],
+    "outputs": []
+  },
   {
     "name": "aten::eye",
     "inputs": [
       { "name": "n", "type": "SymInt" },
-      { "name": "dtype", "type": "ScalarType", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "layout", "type": "Layout", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "device", "type": "Device", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "pin_memory", "type": "boolean", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "dtype", "type": "ScalarType?", "default": null, "kwarg_only": true },
+      { "name": "layout", "type": "Layout?", "default": null, "kwarg_only": true },
+      { "name": "device", "type": "Device?", "default": null, "kwarg_only": true },
+      { "name": "pin_memory", "type": "boolean?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -5109,10 +5628,10 @@
     "inputs": [
       { "name": "n", "type": "SymInt" },
       { "name": "m", "type": "SymInt" },
-      { "name": "dtype", "type": "ScalarType", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "layout", "type": "Layout", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "device", "type": "Device", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "pin_memory", "type": "boolean", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "dtype", "type": "ScalarType?", "default": null, "kwarg_only": true },
+      { "name": "layout", "type": "Layout?", "default": null, "kwarg_only": true },
+      { "name": "device", "type": "Device?", "default": null, "kwarg_only": true },
+      { "name": "pin_memory", "type": "boolean?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -5264,9 +5783,9 @@
     "name": "aten::fft_fft",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "n", "type": "SymInt", "optional": true, "default": null },
+      { "name": "n", "type": "SymInt?", "default": null },
       { "name": "dim", "type": "int64", "default": -1 },
-      { "name": "norm", "type": "string", "optional": true, "default": null }
+      { "name": "norm", "type": "string?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -5276,9 +5795,9 @@
     "name": "aten::fft_fft.out",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "n", "type": "SymInt", "optional": true, "default": null },
+      { "name": "n", "type": "SymInt?", "default": null },
       { "name": "dim", "type": "int64", "default": -1 },
-      { "name": "norm", "type": "string", "optional": true, "default": null }
+      { "name": "norm", "type": "string?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -5288,9 +5807,9 @@
     "name": "aten::fft_fft2",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "s", "type": "SymInt[1]", "optional": true, "default": null },
+      { "name": "s", "type": "SymInt[1]?", "default": null },
       { "name": "dim", "type": "int64[1]", "default": [   -2,   -1 ] },
-      { "name": "norm", "type": "string", "optional": true, "default": null }
+      { "name": "norm", "type": "string?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -5300,9 +5819,9 @@
     "name": "aten::fft_fft2.out",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "s", "type": "SymInt[1]", "optional": true, "default": null },
+      { "name": "s", "type": "SymInt[1]?", "default": null },
       { "name": "dim", "type": "int64[1]", "default": [   -2,   -1 ] },
-      { "name": "norm", "type": "string", "optional": true, "default": null }
+      { "name": "norm", "type": "string?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -5312,9 +5831,9 @@
     "name": "aten::fft_fftn",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "s", "type": "SymInt[1]", "optional": true, "default": null },
-      { "name": "dim", "type": "int64[1]", "optional": true, "default": null },
-      { "name": "norm", "type": "string", "optional": true, "default": null }
+      { "name": "s", "type": "SymInt[1]?", "default": null },
+      { "name": "dim", "type": "int64[1]?", "default": null },
+      { "name": "norm", "type": "string?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -5324,9 +5843,9 @@
     "name": "aten::fft_fftn.out",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "s", "type": "SymInt[1]", "optional": true, "default": null },
-      { "name": "dim", "type": "int64[1]", "optional": true, "default": null },
-      { "name": "norm", "type": "string", "optional": true, "default": null }
+      { "name": "s", "type": "SymInt[1]?", "default": null },
+      { "name": "dim", "type": "int64[1]?", "default": null },
+      { "name": "norm", "type": "string?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -5336,7 +5855,7 @@
     "name": "aten::fft_fftshift",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "dim", "type": "int64[1]", "optional": true, "default": null }
+      { "name": "dim", "type": "int64[1]?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -5346,9 +5865,9 @@
     "name": "aten::fft_hfft2",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "s", "type": "SymInt[1]", "optional": true, "default": null },
+      { "name": "s", "type": "SymInt[1]?", "default": null },
       { "name": "dim", "type": "int64[1]", "default": [   -2,   -1 ] },
-      { "name": "norm", "type": "string", "optional": true, "default": null }
+      { "name": "norm", "type": "string?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -5358,9 +5877,9 @@
     "name": "aten::fft_hfft2.out",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "s", "type": "SymInt[1]", "optional": true, "default": null },
+      { "name": "s", "type": "SymInt[1]?", "default": null },
       { "name": "dim", "type": "int64[1]", "default": [   -2,   -1 ] },
-      { "name": "norm", "type": "string", "optional": true, "default": null }
+      { "name": "norm", "type": "string?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -5370,9 +5889,9 @@
     "name": "aten::fft_hfftn",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "s", "type": "SymInt[1]", "optional": true, "default": null },
-      { "name": "dim", "type": "int64[1]", "optional": true, "default": null },
-      { "name": "norm", "type": "string", "optional": true, "default": null }
+      { "name": "s", "type": "SymInt[1]?", "default": null },
+      { "name": "dim", "type": "int64[1]?", "default": null },
+      { "name": "norm", "type": "string?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -5382,9 +5901,9 @@
     "name": "aten::fft_hfftn.out",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "s", "type": "SymInt[1]", "optional": true, "default": null },
-      { "name": "dim", "type": "int64[1]", "optional": true, "default": null },
-      { "name": "norm", "type": "string", "optional": true, "default": null }
+      { "name": "s", "type": "SymInt[1]?", "default": null },
+      { "name": "dim", "type": "int64[1]?", "default": null },
+      { "name": "norm", "type": "string?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -5394,9 +5913,9 @@
     "name": "aten::fft_ifft",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "n", "type": "SymInt", "optional": true, "default": null },
+      { "name": "n", "type": "SymInt?", "default": null },
       { "name": "dim", "type": "int64", "default": -1 },
-      { "name": "norm", "type": "string", "optional": true, "default": null }
+      { "name": "norm", "type": "string?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -5406,9 +5925,9 @@
     "name": "aten::fft_ifft.out",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "n", "type": "SymInt", "optional": true, "default": null },
+      { "name": "n", "type": "SymInt?", "default": null },
       { "name": "dim", "type": "int64", "default": -1 },
-      { "name": "norm", "type": "string", "optional": true, "default": null }
+      { "name": "norm", "type": "string?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -5418,9 +5937,9 @@
     "name": "aten::fft_ifft2",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "s", "type": "SymInt[1]", "optional": true, "default": null },
+      { "name": "s", "type": "SymInt[1]?", "default": null },
       { "name": "dim", "type": "int64[1]", "default": [   -2,   -1 ] },
-      { "name": "norm", "type": "string", "optional": true, "default": null }
+      { "name": "norm", "type": "string?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -5430,9 +5949,9 @@
     "name": "aten::fft_ifft2.out",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "s", "type": "SymInt[1]", "optional": true, "default": null },
+      { "name": "s", "type": "SymInt[1]?", "default": null },
       { "name": "dim", "type": "int64[1]", "default": [   -2,   -1 ] },
-      { "name": "norm", "type": "string", "optional": true, "default": null }
+      { "name": "norm", "type": "string?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -5442,9 +5961,9 @@
     "name": "aten::fft_ifftn",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "s", "type": "SymInt[1]", "optional": true, "default": null },
-      { "name": "dim", "type": "int64[1]", "optional": true, "default": null },
-      { "name": "norm", "type": "string", "optional": true, "default": null }
+      { "name": "s", "type": "SymInt[1]?", "default": null },
+      { "name": "dim", "type": "int64[1]?", "default": null },
+      { "name": "norm", "type": "string?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -5454,9 +5973,9 @@
     "name": "aten::fft_ifftn.out",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "s", "type": "SymInt[1]", "optional": true, "default": null },
-      { "name": "dim", "type": "int64[1]", "optional": true, "default": null },
-      { "name": "norm", "type": "string", "optional": true, "default": null }
+      { "name": "s", "type": "SymInt[1]?", "default": null },
+      { "name": "dim", "type": "int64[1]?", "default": null },
+      { "name": "norm", "type": "string?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -5466,7 +5985,7 @@
     "name": "aten::fft_ifftshift",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "dim", "type": "int64[1]", "optional": true, "default": null }
+      { "name": "dim", "type": "int64[1]?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -5476,9 +5995,9 @@
     "name": "aten::fft_ihfft2",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "s", "type": "SymInt[1]", "optional": true, "default": null },
+      { "name": "s", "type": "SymInt[1]?", "default": null },
       { "name": "dim", "type": "int64[1]", "default": [   -2,   -1 ] },
-      { "name": "norm", "type": "string", "optional": true, "default": null }
+      { "name": "norm", "type": "string?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -5488,9 +6007,9 @@
     "name": "aten::fft_ihfft2.out",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "s", "type": "SymInt[1]", "optional": true, "default": null },
+      { "name": "s", "type": "SymInt[1]?", "default": null },
       { "name": "dim", "type": "int64[1]", "default": [   -2,   -1 ] },
-      { "name": "norm", "type": "string", "optional": true, "default": null }
+      { "name": "norm", "type": "string?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -5500,9 +6019,9 @@
     "name": "aten::fft_ihfftn",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "s", "type": "SymInt[1]", "optional": true, "default": null },
-      { "name": "dim", "type": "int64[1]", "optional": true, "default": null },
-      { "name": "norm", "type": "string", "optional": true, "default": null }
+      { "name": "s", "type": "SymInt[1]?", "default": null },
+      { "name": "dim", "type": "int64[1]?", "default": null },
+      { "name": "norm", "type": "string?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -5512,9 +6031,9 @@
     "name": "aten::fft_ihfftn.out",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "s", "type": "SymInt[1]", "optional": true, "default": null },
-      { "name": "dim", "type": "int64[1]", "optional": true, "default": null },
-      { "name": "norm", "type": "string", "optional": true, "default": null }
+      { "name": "s", "type": "SymInt[1]?", "default": null },
+      { "name": "dim", "type": "int64[1]?", "default": null },
+      { "name": "norm", "type": "string?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -5524,9 +6043,9 @@
     "name": "aten::fft_irfft",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "n", "type": "SymInt", "optional": true, "default": null },
+      { "name": "n", "type": "SymInt?", "default": null },
       { "name": "dim", "type": "int64", "default": -1 },
-      { "name": "norm", "type": "string", "optional": true, "default": null }
+      { "name": "norm", "type": "string?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -5536,9 +6055,9 @@
     "name": "aten::fft_irfft.out",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "n", "type": "SymInt", "optional": true, "default": null },
+      { "name": "n", "type": "SymInt?", "default": null },
       { "name": "dim", "type": "int64", "default": -1 },
-      { "name": "norm", "type": "string", "optional": true, "default": null }
+      { "name": "norm", "type": "string?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -5548,9 +6067,9 @@
     "name": "aten::fft_irfft2",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "s", "type": "SymInt[1]", "optional": true, "default": null },
+      { "name": "s", "type": "SymInt[1]?", "default": null },
       { "name": "dim", "type": "int64[1]", "default": [   -2,   -1 ] },
-      { "name": "norm", "type": "string", "optional": true, "default": null }
+      { "name": "norm", "type": "string?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -5560,9 +6079,9 @@
     "name": "aten::fft_irfft2.out",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "s", "type": "SymInt[1]", "optional": true, "default": null },
+      { "name": "s", "type": "SymInt[1]?", "default": null },
       { "name": "dim", "type": "int64[1]", "default": [   -2,   -1 ] },
-      { "name": "norm", "type": "string", "optional": true, "default": null }
+      { "name": "norm", "type": "string?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -5572,9 +6091,9 @@
     "name": "aten::fft_irfftn",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "s", "type": "SymInt[1]", "optional": true, "default": null },
-      { "name": "dim", "type": "int64[1]", "optional": true, "default": null },
-      { "name": "norm", "type": "string", "optional": true, "default": null }
+      { "name": "s", "type": "SymInt[1]?", "default": null },
+      { "name": "dim", "type": "int64[1]?", "default": null },
+      { "name": "norm", "type": "string?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -5584,9 +6103,9 @@
     "name": "aten::fft_irfftn.out",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "s", "type": "SymInt[1]", "optional": true, "default": null },
-      { "name": "dim", "type": "int64[1]", "optional": true, "default": null },
-      { "name": "norm", "type": "string", "optional": true, "default": null }
+      { "name": "s", "type": "SymInt[1]?", "default": null },
+      { "name": "dim", "type": "int64[1]?", "default": null },
+      { "name": "norm", "type": "string?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -5596,9 +6115,9 @@
     "name": "aten::fft_rfft",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "n", "type": "SymInt", "optional": true, "default": null },
+      { "name": "n", "type": "SymInt?", "default": null },
       { "name": "dim", "type": "int64", "default": -1 },
-      { "name": "norm", "type": "string", "optional": true, "default": null }
+      { "name": "norm", "type": "string?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -5608,9 +6127,9 @@
     "name": "aten::fft_rfft.out",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "n", "type": "SymInt", "optional": true, "default": null },
+      { "name": "n", "type": "SymInt?", "default": null },
       { "name": "dim", "type": "int64", "default": -1 },
-      { "name": "norm", "type": "string", "optional": true, "default": null }
+      { "name": "norm", "type": "string?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -5620,9 +6139,9 @@
     "name": "aten::fft_rfft2",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "s", "type": "SymInt[1]", "optional": true, "default": null },
+      { "name": "s", "type": "SymInt[1]?", "default": null },
       { "name": "dim", "type": "int64[1]", "default": [   -2,   -1 ] },
-      { "name": "norm", "type": "string", "optional": true, "default": null }
+      { "name": "norm", "type": "string?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -5632,9 +6151,9 @@
     "name": "aten::fft_rfft2.out",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "s", "type": "SymInt[1]", "optional": true, "default": null },
+      { "name": "s", "type": "SymInt[1]?", "default": null },
       { "name": "dim", "type": "int64[1]", "default": [   -2,   -1 ] },
-      { "name": "norm", "type": "string", "optional": true, "default": null }
+      { "name": "norm", "type": "string?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -5644,9 +6163,9 @@
     "name": "aten::fft_rfftn",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "s", "type": "SymInt[1]", "optional": true, "default": null },
-      { "name": "dim", "type": "int64[1]", "optional": true, "default": null },
-      { "name": "norm", "type": "string", "optional": true, "default": null }
+      { "name": "s", "type": "SymInt[1]?", "default": null },
+      { "name": "dim", "type": "int64[1]?", "default": null },
+      { "name": "norm", "type": "string?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -5656,9 +6175,9 @@
     "name": "aten::fft_rfftn.out",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "s", "type": "SymInt[1]", "optional": true, "default": null },
-      { "name": "dim", "type": "int64[1]", "optional": true, "default": null },
-      { "name": "norm", "type": "string", "optional": true, "default": null }
+      { "name": "s", "type": "SymInt[1]?", "default": null },
+      { "name": "dim", "type": "int64[1]?", "default": null },
+      { "name": "norm", "type": "string?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -5765,6 +6284,33 @@
       { "type": "Tensor" }
     ]
   },
+  {
+    "name": "aten::floor.Scalar",
+    "inputs": [
+      { "name": "a", "type": "Scalar" }
+    ],
+    "outputs": [
+      { "type": "Scalar" }
+    ]
+  },
+  {
+    "name": "aten::floor.float",
+    "inputs": [
+      { "name": "a", "type": "float32" }
+    ],
+    "outputs": [
+      { "type": "float32" }
+    ]
+  },
+  {
+    "name": "aten::floor.int",
+    "inputs": [
+      { "name": "a", "type": "int64" }
+    ],
+    "outputs": [
+      { "type": "int64" }
+    ]
+  },
   {
     "name": "aten::floor.out",
     "inputs": [
@@ -5830,7 +6376,57 @@
       { "name": "other", "type": "Tensor" }
     ],
     "outputs": [
-      { "type": "Tensor" }
+      { "type": "Tensor" }
+    ]
+  },
+  {
+    "name": "aten::floordiv.Scalar",
+    "inputs": [
+      { "name": "a", "type": "Scalar" },
+      { "name": "b", "type": "Scalar" }
+    ],
+    "outputs": [
+      { "type": "Scalar" }
+    ]
+  },
+  {
+    "name": "aten::floordiv.float",
+    "inputs": [
+      { "name": "a", "type": "float32" },
+      { "name": "b", "type": "float32" }
+    ],
+    "outputs": [
+      { "type": "float32" }
+    ]
+  },
+  {
+    "name": "aten::floordiv.float_int",
+    "inputs": [
+      { "name": "a", "type": "float32" },
+      { "name": "b", "type": "int64" }
+    ],
+    "outputs": [
+      { "type": "float32" }
+    ]
+  },
+  {
+    "name": "aten::floordiv.int",
+    "inputs": [
+      { "name": "a", "type": "int64" },
+      { "name": "b", "type": "int64" }
+    ],
+    "outputs": [
+      { "type": "int64" }
+    ]
+  },
+  {
+    "name": "aten::floordiv.int_float",
+    "inputs": [
+      { "name": "a", "type": "int64" },
+      { "name": "b", "type": "float32" }
+    ],
+    "outputs": [
+      { "type": "float32" }
     ]
   },
   {
@@ -5875,6 +6471,7 @@
   },
   {
     "name": "aten::format",
+    "is_vararg": true,
     "inputs": [
       { "name": "self", "type": "string" }
     ],
@@ -5910,10 +6507,10 @@
     "inputs": [
       { "name": "size", "type": "SymInt[]" },
       { "name": "fill_value", "type": "Scalar" },
-      { "name": "dtype", "type": "ScalarType", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "layout", "type": "Layout", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "device", "type": "Device", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "pin_memory", "type": "boolean", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "dtype", "type": "ScalarType?", "default": null, "kwarg_only": true },
+      { "name": "layout", "type": "Layout?", "default": null, "kwarg_only": true },
+      { "name": "device", "type": "Device?", "default": null, "kwarg_only": true },
+      { "name": "pin_memory", "type": "boolean?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -5924,11 +6521,11 @@
     "inputs": [
       { "name": "size", "type": "int64[]" },
       { "name": "fill_value", "type": "Scalar" },
-      { "name": "names", "type": "Dimname[]", "optional": true, "kwarg_only": true },
-      { "name": "dtype", "type": "ScalarType", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "layout", "type": "Layout", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "device", "type": "Device", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "pin_memory", "type": "boolean", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "names", "type": "Dimname[]?", "kwarg_only": true },
+      { "name": "dtype", "type": "ScalarType?", "default": null, "kwarg_only": true },
+      { "name": "layout", "type": "Layout?", "default": null, "kwarg_only": true },
+      { "name": "device", "type": "Device?", "default": null, "kwarg_only": true },
+      { "name": "pin_memory", "type": "boolean?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -5949,11 +6546,11 @@
     "inputs": [
       { "name": "self", "type": "Tensor" },
       { "name": "fill_value", "type": "Scalar" },
-      { "name": "dtype", "type": "ScalarType", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "layout", "type": "Layout", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "device", "type": "Device", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "pin_memory", "type": "boolean", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "memory_format", "type": "MemoryFormat", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "dtype", "type": "ScalarType?", "default": null, "kwarg_only": true },
+      { "name": "layout", "type": "Layout?", "default": null, "kwarg_only": true },
+      { "name": "device", "type": "Device?", "default": null, "kwarg_only": true },
+      { "name": "pin_memory", "type": "boolean?", "default": null, "kwarg_only": true },
+      { "name": "memory_format", "type": "MemoryFormat?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -6194,7 +6791,7 @@
     "inputs": [
       { "name": "self", "type": "Tensor" },
       { "name": "p", "type": "float32" },
-      { "name": "generator", "type": "Generator", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "generator", "type": "Generator?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -6343,14 +6940,26 @@
       { "type": "Tensor" }
     ]
   },
+  {
+    "name": "aten::grid_sampler.legacy",
+    "inputs": [
+      { "name": "input", "type": "Tensor" },
+      { "name": "grid", "type": "Tensor" },
+      { "name": "interpolation_mode", "type": "int64" },
+      { "name": "padding_mode", "type": "int64" }
+    ],
+    "outputs": [
+      { "type": "Tensor" }
+    ]
+  },
   {
     "name": "aten::group_norm",
     "category": "Normalization",
     "inputs": [
       { "name": "input", "type": "Tensor" },
       { "name": "num_groups", "type": "int64" },
-      { "name": "weight", "type": "Tensor", "optional": true, "default": null },
-      { "name": "bias", "type": "Tensor", "optional": true, "default": null },
+      { "name": "weight", "type": "Tensor?", "default": null },
+      { "name": "bias", "type": "Tensor?", "default": null },
       { "name": "eps", "type": "float32", "default": 1e-05 },
       { "name": "cudnn_enabled", "type": "boolean", "visible": true, "default": true }
     ],
@@ -6396,6 +7005,16 @@
       { "name": "?", "type": "Tensor" }
     ]
   },
+  {
+    "name": "aten::gt",
+    "inputs": [
+      { "name": "a", "type": "Scalar" },
+      { "name": "b", "type": "Scalar" }
+    ],
+    "outputs": [
+      { "type": "boolean" }
+    ]
+  },
   {
     "name": "aten::gt.Scalar",
     "inputs": [
@@ -6476,14 +7095,24 @@
       { "type": "boolean" }
     ]
   },
+  {
+    "name": "aten::gt.str",
+    "inputs": [
+      { "name": "a", "type": "string" },
+      { "name": "b", "type": "string" }
+    ],
+    "outputs": [
+      { "type": "boolean" }
+    ]
+  },
   {
     "name": "aten::hamming_window",
     "inputs": [
       { "name": "window_length", "type": "int64" },
-      { "name": "dtype", "type": "ScalarType", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "layout", "type": "Layout", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "device", "type": "Device", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "pin_memory", "type": "boolean", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "dtype", "type": "ScalarType?", "default": null, "kwarg_only": true },
+      { "name": "layout", "type": "Layout?", "default": null, "kwarg_only": true },
+      { "name": "device", "type": "Device?", "default": null, "kwarg_only": true },
+      { "name": "pin_memory", "type": "boolean?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -6494,10 +7123,10 @@
     "inputs": [
       { "name": "window_length", "type": "int64" },
       { "name": "periodic", "type": "boolean" },
-      { "name": "dtype", "type": "ScalarType", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "layout", "type": "Layout", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "device", "type": "Device", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "pin_memory", "type": "boolean", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "dtype", "type": "ScalarType?", "default": null, "kwarg_only": true },
+      { "name": "layout", "type": "Layout?", "default": null, "kwarg_only": true },
+      { "name": "device", "type": "Device?", "default": null, "kwarg_only": true },
+      { "name": "pin_memory", "type": "boolean?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -6509,10 +7138,10 @@
       { "name": "window_length", "type": "int64" },
       { "name": "periodic", "type": "boolean" },
       { "name": "alpha", "type": "float32" },
-      { "name": "dtype", "type": "ScalarType", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "layout", "type": "Layout", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "device", "type": "Device", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "pin_memory", "type": "boolean", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "dtype", "type": "ScalarType?", "default": null, "kwarg_only": true },
+      { "name": "layout", "type": "Layout?", "default": null, "kwarg_only": true },
+      { "name": "device", "type": "Device?", "default": null, "kwarg_only": true },
+      { "name": "pin_memory", "type": "boolean?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -6525,10 +7154,10 @@
       { "name": "periodic", "type": "boolean" },
       { "name": "alpha", "type": "float32" },
       { "name": "beta", "type": "float32" },
-      { "name": "dtype", "type": "ScalarType", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "layout", "type": "Layout", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "device", "type": "Device", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "pin_memory", "type": "boolean", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "dtype", "type": "ScalarType?", "default": null, "kwarg_only": true },
+      { "name": "layout", "type": "Layout?", "default": null, "kwarg_only": true },
+      { "name": "device", "type": "Device?", "default": null, "kwarg_only": true },
+      { "name": "pin_memory", "type": "boolean?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -6538,10 +7167,10 @@
     "name": "aten::hann_window",
     "inputs": [
       { "name": "window_length", "type": "int64" },
-      { "name": "dtype", "type": "ScalarType", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "layout", "type": "Layout", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "device", "type": "Device", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "pin_memory", "type": "boolean", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "dtype", "type": "ScalarType?", "default": null, "kwarg_only": true },
+      { "name": "layout", "type": "Layout?", "default": null, "kwarg_only": true },
+      { "name": "device", "type": "Device?", "default": null, "kwarg_only": true },
+      { "name": "pin_memory", "type": "boolean?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -6552,10 +7181,10 @@
     "inputs": [
       { "name": "window_length", "type": "int64" },
       { "name": "periodic", "type": "boolean" },
-      { "name": "dtype", "type": "ScalarType", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "layout", "type": "Layout", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "device", "type": "Device", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "pin_memory", "type": "boolean", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "dtype", "type": "ScalarType?", "default": null, "kwarg_only": true },
+      { "name": "layout", "type": "Layout?", "default": null, "kwarg_only": true },
+      { "name": "device", "type": "Device?", "default": null, "kwarg_only": true },
+      { "name": "pin_memory", "type": "boolean?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -6839,7 +7468,7 @@
     "name": "aten::index.Tensor",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "indices", "type": "Tensor[]", "optional": true }
+      { "name": "indices", "type": "Tensor?[]" }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -6859,7 +7488,7 @@
     "name": "aten::index.Tensor_out",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "indices", "type": "Tensor[]", "optional": true }
+      { "name": "indices", "type": "Tensor?[]" }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -7089,7 +7718,7 @@
     "name": "aten::index_put",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "indices", "type": "Tensor[]", "optional": true },
+      { "name": "indices", "type": "Tensor?[]" },
       { "name": "values", "type": "Tensor" },
       { "name": "accumulate", "type": "boolean", "default": false }
     ],
@@ -7113,7 +7742,7 @@
     "name": "aten::index_put_",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "indices", "type": "Tensor[]", "optional": true },
+      { "name": "indices", "type": "Tensor?[]" },
       { "name": "values", "type": "Tensor" },
       { "name": "accumulate", "type": "boolean", "default": false }
     ],
@@ -7236,10 +7865,10 @@
     "category": "Normalization",
     "inputs": [
       { "name": "input", "type": "Tensor" },
-      { "name": "weight", "type": "Tensor", "optional": true },
-      { "name": "bias", "type": "Tensor", "optional": true },
-      { "name": "running_mean", "type": "Tensor", "optional": true },
-      { "name": "running_var", "type": "Tensor", "optional": true },
+      { "name": "weight", "type": "Tensor?" },
+      { "name": "bias", "type": "Tensor?" },
+      { "name": "running_mean", "type": "Tensor?" },
+      { "name": "running_var", "type": "Tensor?" },
       { "name": "use_input_stats", "type": "boolean" },
       { "name": "momentum", "type": "float32" },
       { "name": "eps", "type": "float32" },
@@ -7336,13 +7965,13 @@
     "inputs": [
       { "name": "self", "type": "Tensor" },
       { "name": "n_fft", "type": "int64" },
-      { "name": "hop_length", "type": "int64", "optional": true, "default": null },
-      { "name": "win_length", "type": "int64", "optional": true, "default": null },
-      { "name": "window", "type": "Tensor", "optional": true, "default": null },
+      { "name": "hop_length", "type": "int64?", "default": null },
+      { "name": "win_length", "type": "int64?", "default": null },
+      { "name": "window", "type": "Tensor?", "default": null },
       { "name": "center", "type": "boolean", "default": true },
       { "name": "normalized", "type": "boolean", "default": false },
-      { "name": "onesided", "type": "boolean", "optional": true, "default": null },
-      { "name": "length", "type": "int64", "optional": true, "default": null },
+      { "name": "onesided", "type": "boolean?", "default": null },
+      { "name": "length", "type": "int64?", "default": null },
       { "name": "return_complex", "type": "boolean", "default": false }
     ],
     "outputs": [
@@ -7368,6 +7997,60 @@
       { "type": "string" }
     ]
   },
+  {
+    "name": "aten::keys.Tensor",
+    "inputs": [
+      { "name": "self", "type": "Dict(Tensor, t)" }
+    ],
+    "outputs": [
+      { "type": "Tensor[]" }
+    ]
+  },
+  {
+    "name": "aten::keys.bool",
+    "inputs": [
+      { "name": "self", "type": "Dict(boolean, t)" }
+    ],
+    "outputs": [
+      { "type": "boolean[]" }
+    ]
+  },
+  {
+    "name": "aten::keys.complex",
+    "inputs": [
+      { "name": "self", "type": "Dict(complex, t)" }
+    ],
+    "outputs": [
+      { "type": "complex[]" }
+    ]
+  },
+  {
+    "name": "aten::keys.float",
+    "inputs": [
+      { "name": "self", "type": "Dict(float32, t)" }
+    ],
+    "outputs": [
+      { "type": "float32[]" }
+    ]
+  },
+  {
+    "name": "aten::keys.int",
+    "inputs": [
+      { "name": "self", "type": "Dict(int64, t)" }
+    ],
+    "outputs": [
+      { "type": "int64[]" }
+    ]
+  },
+  {
+    "name": "aten::keys.str",
+    "inputs": [
+      { "name": "self", "type": "Dict(string, t)" }
+    ],
+    "outputs": [
+      { "type": "string[]" }
+    ]
+  },
   {
     "name": "aten::kl_div",
     "inputs": [
@@ -7449,8 +8132,8 @@
     "inputs": [
       { "name": "input", "type": "Tensor" },
       { "name": "normalized_shape", "type": "SymInt[]" },
-      { "name": "weight", "type": "Tensor", "optional": true, "default": null },
-      { "name": "bias", "type": "Tensor", "optional": true, "default": null },
+      { "name": "weight", "type": "Tensor?", "default": null },
+      { "name": "bias", "type": "Tensor?", "default": null },
       { "name": "eps", "type": "float32", "default": 1e-05 },
       { "name": "cudnn_enable", "type": "boolean", "default": true }
     ],
@@ -7458,6 +8141,16 @@
       { "type": "Tensor" }
     ]
   },
+  {
+    "name": "aten::le",
+    "inputs": [
+      { "name": "a", "type": "Scalar" },
+      { "name": "b", "type": "Scalar" }
+    ],
+    "outputs": [
+      { "type": "boolean" }
+    ]
+  },
   {
     "name": "aten::le.Scalar",
     "inputs": [
@@ -7538,6 +8231,16 @@
       { "type": "boolean" }
     ]
   },
+  {
+    "name": "aten::le.str",
+    "inputs": [
+      { "name": "a", "type": "string" },
+      { "name": "b", "type": "string" }
+    ],
+    "outputs": [
+      { "type": "boolean" }
+    ]
+  },
   {
     "name": "aten::leaky_relu",
     "category": "Activation",
@@ -7690,10 +8393,10 @@
     "name": "aten::linalg_norm",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "ord", "type": "Scalar", "optional": true, "default": null },
-      { "name": "dim", "type": "int64[1]", "optional": true, "default": null },
+      { "name": "ord", "type": "Scalar?", "default": null },
+      { "name": "dim", "type": "int64[1]?", "default": null },
       { "name": "keepdim", "type": "boolean", "default": false },
-      { "name": "dtype", "type": "ScalarType", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "dtype", "type": "ScalarType?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -7704,9 +8407,9 @@
     "inputs": [
       { "name": "self", "type": "Tensor" },
       { "name": "ord", "type": "string" },
-      { "name": "dim", "type": "int64[1]", "optional": true, "default": null },
+      { "name": "dim", "type": "int64[1]?", "default": null },
       { "name": "keepdim", "type": "boolean", "default": false },
-      { "name": "dtype", "type": "ScalarType", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "dtype", "type": "ScalarType?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -7717,9 +8420,9 @@
     "inputs": [
       { "name": "self", "type": "Tensor" },
       { "name": "ord", "type": "string" },
-      { "name": "dim", "type": "int64[1]", "optional": true, "default": null },
+      { "name": "dim", "type": "int64[1]?", "default": null },
       { "name": "keepdim", "type": "boolean", "default": false },
-      { "name": "dtype", "type": "ScalarType", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "dtype", "type": "ScalarType?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -7729,10 +8432,10 @@
     "name": "aten::linalg_norm.out",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "ord", "type": "Scalar", "optional": true, "default": null },
-      { "name": "dim", "type": "int64[1]", "optional": true, "default": null },
+      { "name": "ord", "type": "Scalar?", "default": null },
+      { "name": "dim", "type": "int64[1]?", "default": null },
       { "name": "keepdim", "type": "boolean", "default": false },
-      { "name": "dtype", "type": "ScalarType", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "dtype", "type": "ScalarType?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -7839,7 +8542,7 @@
     "inputs": [
       { "name": "A", "type": "Tensor" },
       { "name": "full_matrices", "type": "boolean", "default": true },
-      { "name": "driver", "type": "string", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "driver", "type": "string?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "name": "U", "type": "Tensor" },
@@ -7852,7 +8555,7 @@
     "inputs": [
       { "name": "A", "type": "Tensor" },
       { "name": "full_matrices", "type": "boolean", "default": true },
-      { "name": "driver", "type": "string", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "driver", "type": "string?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "name": "U", "type": "Tensor" },
@@ -7885,7 +8588,7 @@
     "inputs": [
       { "name": "self", "type": "Tensor" },
       { "name": "other", "type": "Tensor" },
-      { "name": "dims", "type": "int64[]", "optional": true, "default": null }
+      { "name": "dims", "type": "int64[]?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -7896,7 +8599,7 @@
     "inputs": [
       { "name": "self", "type": "Tensor" },
       { "name": "other", "type": "Tensor" },
-      { "name": "dims", "type": "int64[]", "optional": true, "default": null }
+      { "name": "dims", "type": "int64[]?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -7907,9 +8610,9 @@
     "inputs": [
       { "name": "self", "type": "Tensor" },
       { "name": "ord", "type": "Scalar", "default": 2 },
-      { "name": "dim", "type": "int64[1]", "optional": true, "default": null },
+      { "name": "dim", "type": "int64[1]?", "default": null },
       { "name": "keepdim", "type": "boolean", "default": false },
-      { "name": "dtype", "type": "ScalarType", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "dtype", "type": "ScalarType?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -7920,9 +8623,9 @@
     "inputs": [
       { "name": "self", "type": "Tensor" },
       { "name": "ord", "type": "Scalar", "default": 2 },
-      { "name": "dim", "type": "int64[1]", "optional": true, "default": null },
+      { "name": "dim", "type": "int64[1]?", "default": null },
       { "name": "keepdim", "type": "boolean", "default": false },
-      { "name": "dtype", "type": "ScalarType", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "dtype", "type": "ScalarType?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -7934,7 +8637,7 @@
     "inputs": [
       { "name": "input", "type": "Tensor" },
       { "name": "weight", "type": "Tensor" },
-      { "name": "bias", "type": "Tensor", "optional": true, "default": null }
+      { "name": "bias", "type": "Tensor?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -7945,7 +8648,7 @@
     "inputs": [
       { "name": "input", "type": "Tensor" },
       { "name": "weight", "type": "Tensor" },
-      { "name": "bias", "type": "Tensor", "optional": true, "default": null }
+      { "name": "bias", "type": "Tensor?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -7971,10 +8674,10 @@
       { "name": "start", "type": "Scalar" },
       { "name": "end", "type": "Scalar" },
       { "name": "steps", "type": "int64", "default": null },
-      { "name": "dtype", "type": "ScalarType", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "layout", "type": "Layout", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "device", "type": "Device", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "pin_memory", "type": "boolean", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "dtype", "type": "ScalarType?", "default": null, "kwarg_only": true },
+      { "name": "layout", "type": "Layout?", "default": null, "kwarg_only": true },
+      { "name": "device", "type": "Device?", "default": null, "kwarg_only": true },
+      { "name": "pin_memory", "type": "boolean?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -7986,10 +8689,10 @@
       { "name": "start", "type": "Scalar" },
       { "name": "end", "type": "Tensor" },
       { "name": "steps", "type": "int64" },
-      { "name": "dtype", "type": "ScalarType", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "layout", "type": "Layout", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "device", "type": "Device", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "pin_memory", "type": "boolean", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "dtype", "type": "ScalarType?", "default": null, "kwarg_only": true },
+      { "name": "layout", "type": "Layout?", "default": null, "kwarg_only": true },
+      { "name": "device", "type": "Device?", "default": null, "kwarg_only": true },
+      { "name": "pin_memory", "type": "boolean?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -8012,10 +8715,10 @@
       { "name": "start", "type": "Tensor" },
       { "name": "end", "type": "Scalar" },
       { "name": "steps", "type": "int64" },
-      { "name": "dtype", "type": "ScalarType", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "layout", "type": "Layout", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "device", "type": "Device", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "pin_memory", "type": "boolean", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "dtype", "type": "ScalarType?", "default": null, "kwarg_only": true },
+      { "name": "layout", "type": "Layout?", "default": null, "kwarg_only": true },
+      { "name": "device", "type": "Device?", "default": null, "kwarg_only": true },
+      { "name": "pin_memory", "type": "boolean?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -8038,10 +8741,10 @@
       { "name": "start", "type": "Tensor" },
       { "name": "end", "type": "Tensor" },
       { "name": "steps", "type": "int64" },
-      { "name": "dtype", "type": "ScalarType", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "layout", "type": "Layout", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "device", "type": "Device", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "pin_memory", "type": "boolean", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "dtype", "type": "ScalarType?", "default": null, "kwarg_only": true },
+      { "name": "layout", "type": "Layout?", "default": null, "kwarg_only": true },
+      { "name": "device", "type": "Device?", "default": null, "kwarg_only": true },
+      { "name": "pin_memory", "type": "boolean?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -8069,6 +8772,24 @@
       { "type": "Tensor" }
     ]
   },
+  {
+    "name": "aten::list",
+    "inputs": [
+      { "name": "t", "type": "string" }
+    ],
+    "outputs": [
+      { "type": "string[]" }
+    ]
+  },
+  {
+    "name": "aten::list.t",
+    "inputs": [
+      { "name": "l", "type": "t[]" }
+    ],
+    "outputs": [
+      { "type": "t[]" }
+    ]
+  },
   {
     "name": "aten::log",
     "inputs": [
@@ -8096,6 +8817,42 @@
       { "type": "Tensor" }
     ]
   },
+  {
+    "name": "aten::log10.Scalar",
+    "inputs": [
+      { "name": "a", "type": "Scalar" }
+    ],
+    "outputs": [
+      { "type": "Scalar" }
+    ]
+  },
+  {
+    "name": "aten::log10.complex",
+    "inputs": [
+      { "name": "a", "type": "complex" }
+    ],
+    "outputs": [
+      { "type": "complex" }
+    ]
+  },
+  {
+    "name": "aten::log10.float",
+    "inputs": [
+      { "name": "a", "type": "float32" }
+    ],
+    "outputs": [
+      { "type": "float32" }
+    ]
+  },
+  {
+    "name": "aten::log10.int",
+    "inputs": [
+      { "name": "a", "type": "int64" }
+    ],
+    "outputs": [
+      { "type": "float32" }
+    ]
+  },
   {
     "name": "aten::log10.out",
     "inputs": [
@@ -8183,7 +8940,7 @@
       { "name": "self", "type": "Tensor" },
       { "name": "mean", "type": "float32", "default": 1 },
       { "name": "std", "type": "float32", "default": 2 },
-      { "name": "generator", "type": "Generator", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "generator", "type": "Generator?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -8255,7 +9012,7 @@
     "inputs": [
       { "name": "self", "type": "Tensor" },
       { "name": "dim", "type": "Dimname" },
-      { "name": "dtype", "type": "ScalarType", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "dtype", "type": "ScalarType?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -8267,7 +9024,7 @@
     "inputs": [
       { "name": "self", "type": "Tensor" },
       { "name": "dim", "type": "int64" },
-      { "name": "dtype", "type": "ScalarType", "optional": true, "default": null }
+      { "name": "dtype", "type": "ScalarType?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -8278,7 +9035,7 @@
     "inputs": [
       { "name": "self", "type": "Tensor" },
       { "name": "dim", "type": "int64" },
-      { "name": "dtype", "type": "ScalarType", "optional": true, "default": null }
+      { "name": "dtype", "type": "ScalarType?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -8494,7 +9251,7 @@
     "name": "aten::logit",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "eps", "type": "float32", "optional": true, "default": null }
+      { "name": "eps", "type": "float32?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -8504,7 +9261,7 @@
     "name": "aten::logit.out",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "eps", "type": "float32", "optional": true, "default": null }
+      { "name": "eps", "type": "float32?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -8514,7 +9271,7 @@
     "name": "aten::logit_",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "eps", "type": "float32", "optional": true, "default": null }
+      { "name": "eps", "type": "float32?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -8525,7 +9282,7 @@
     "inputs": [
       { "name": "grad_output", "type": "Tensor" },
       { "name": "self", "type": "Tensor" },
-      { "name": "eps", "type": "float32", "optional": true, "default": null }
+      { "name": "eps", "type": "float32?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -8536,7 +9293,7 @@
     "inputs": [
       { "name": "grad_output", "type": "Tensor" },
       { "name": "self", "type": "Tensor" },
-      { "name": "eps", "type": "float32", "optional": true, "default": null }
+      { "name": "eps", "type": "float32?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -8549,10 +9306,10 @@
       { "name": "end", "type": "Scalar" },
       { "name": "steps", "type": "int64" },
       { "name": "base", "type": "float32", "default": 10.0 },
-      { "name": "dtype", "type": "ScalarType", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "layout", "type": "Layout", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "device", "type": "Device", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "pin_memory", "type": "boolean", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "dtype", "type": "ScalarType?", "default": null, "kwarg_only": true },
+      { "name": "layout", "type": "Layout?", "default": null, "kwarg_only": true },
+      { "name": "device", "type": "Device?", "default": null, "kwarg_only": true },
+      { "name": "pin_memory", "type": "boolean?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -8565,10 +9322,10 @@
       { "name": "end", "type": "Tensor" },
       { "name": "steps", "type": "int64" },
       { "name": "base", "type": "float32", "default": 10.0 },
-      { "name": "dtype", "type": "ScalarType", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "layout", "type": "Layout", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "device", "type": "Device", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "pin_memory", "type": "boolean", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "dtype", "type": "ScalarType?", "default": null, "kwarg_only": true },
+      { "name": "layout", "type": "Layout?", "default": null, "kwarg_only": true },
+      { "name": "device", "type": "Device?", "default": null, "kwarg_only": true },
+      { "name": "pin_memory", "type": "boolean?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -8593,10 +9350,10 @@
       { "name": "end", "type": "Scalar" },
       { "name": "steps", "type": "int64" },
       { "name": "base", "type": "float32", "default": 10.0 },
-      { "name": "dtype", "type": "ScalarType", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "layout", "type": "Layout", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "device", "type": "Device", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "pin_memory", "type": "boolean", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "dtype", "type": "ScalarType?", "default": null, "kwarg_only": true },
+      { "name": "layout", "type": "Layout?", "default": null, "kwarg_only": true },
+      { "name": "device", "type": "Device?", "default": null, "kwarg_only": true },
+      { "name": "pin_memory", "type": "boolean?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -8621,10 +9378,10 @@
       { "name": "end", "type": "Tensor" },
       { "name": "steps", "type": "int64" },
       { "name": "base", "type": "float32", "default": 10.0 },
-      { "name": "dtype", "type": "ScalarType", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "layout", "type": "Layout", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "device", "type": "Device", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "pin_memory", "type": "boolean", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "dtype", "type": "ScalarType?", "default": null, "kwarg_only": true },
+      { "name": "layout", "type": "Layout?", "default": null, "kwarg_only": true },
+      { "name": "device", "type": "Device?", "default": null, "kwarg_only": true },
+      { "name": "pin_memory", "type": "boolean?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -8746,14 +9503,24 @@
       { "name": "hx", "type": "Tensor[]" },
       { "name": "w_ih", "type": "Tensor" },
       { "name": "w_hh", "type": "Tensor" },
-      { "name": "b_ih", "type": "Tensor", "optional": true, "default": null },
-      { "name": "b_hh", "type": "Tensor", "optional": true, "default": null }
+      { "name": "b_ih", "type": "Tensor?", "default": null },
+      { "name": "b_hh", "type": "Tensor?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" },
       { "type": "Tensor" }
     ]
   },
+  {
+    "name": "aten::lt",
+    "inputs": [
+      { "name": "a", "type": "Scalar" },
+      { "name": "b", "type": "Scalar" }
+    ],
+    "outputs": [
+      { "type": "boolean" }
+    ]
+  },
   {
     "name": "aten::lt.Scalar",
     "inputs": [
@@ -8794,6 +9561,56 @@
       { "type": "Tensor" }
     ]
   },
+  {
+    "name": "aten::lt.float",
+    "inputs": [
+      { "name": "a", "type": "float32" },
+      { "name": "b", "type": "float32" }
+    ],
+    "outputs": [
+      { "type": "boolean" }
+    ]
+  },
+  {
+    "name": "aten::lt.float_int",
+    "inputs": [
+      { "name": "a", "type": "float32" },
+      { "name": "b", "type": "int64" }
+    ],
+    "outputs": [
+      { "type": "boolean" }
+    ]
+  },
+  {
+    "name": "aten::lt.int",
+    "inputs": [
+      { "name": "a", "type": "int64" },
+      { "name": "b", "type": "int64" }
+    ],
+    "outputs": [
+      { "type": "boolean" }
+    ]
+  },
+  {
+    "name": "aten::lt.int_float",
+    "inputs": [
+      { "name": "a", "type": "int64" },
+      { "name": "b", "type": "float32" }
+    ],
+    "outputs": [
+      { "type": "boolean" }
+    ]
+  },
+  {
+    "name": "aten::lt.str",
+    "inputs": [
+      { "name": "a", "type": "string" },
+      { "name": "b", "type": "string" }
+    ],
+    "outputs": [
+      { "type": "boolean" }
+    ]
+  },
   {
     "name": "aten::manual_seed",
     "inputs": [
@@ -9231,7 +10048,7 @@
     "name": "aten::mean",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "dtype", "type": "ScalarType", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "dtype", "type": "ScalarType?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -9241,9 +10058,9 @@
     "name": "aten::mean.dim",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "dim", "type": "int64[1]", "optional": true },
+      { "name": "dim", "type": "int64[1]?" },
       { "name": "keepdim", "type": "boolean", "default": false },
-      { "name": "dtype", "type": "ScalarType", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "dtype", "type": "ScalarType?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -9253,7 +10070,7 @@
     "name": "aten::mean.dtype_out",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "dtype", "type": "ScalarType", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "dtype", "type": "ScalarType?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -9265,7 +10082,7 @@
       { "name": "self", "type": "Tensor" },
       { "name": "dim", "type": "Dimname[1]" },
       { "name": "keepdim", "type": "boolean", "default": false },
-      { "name": "dtype", "type": "ScalarType", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "dtype", "type": "ScalarType?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -9277,7 +10094,7 @@
       { "name": "self", "type": "Tensor" },
       { "name": "dim", "type": "Dimname[1]" },
       { "name": "keepdim", "type": "boolean", "default": false },
-      { "name": "dtype", "type": "ScalarType", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "dtype", "type": "ScalarType?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -9287,9 +10104,9 @@
     "name": "aten::mean.out",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "dim", "type": "int64[1]", "optional": true },
+      { "name": "dim", "type": "int64[1]?" },
       { "name": "keepdim", "type": "boolean", "default": false },
-      { "name": "dtype", "type": "ScalarType", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "dtype", "type": "ScalarType?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -9516,7 +10333,7 @@
       { "name": "stride", "type": "SymInt[2]", "default": 1 },
       { "name": "dilation", "type": "SymInt[2]", "default": 1 },
       { "name": "groups", "type": "SymInt", "default": 1 },
-      { "name": "input_size", "type": "SymInt[]", "optional": true, "default": null }
+      { "name": "input_size", "type": "SymInt[]?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -9632,6 +10449,16 @@
       { "type": "Tensor" }
     ]
   },
+  {
+    "name": "aten::mul",
+    "inputs": [
+      { "name": "a", "type": "Scalar" },
+      { "name": "b", "type": "Scalar" }
+    ],
+    "outputs": [
+      { "type": "Scalar" }
+    ]
+  },
   {
     "name": "aten::mul.Scalar",
     "inputs": [
@@ -9645,21 +10472,51 @@
   {
     "name": "aten::mul.ScalarT",
     "inputs": [
-      { "name": "input", "type": "Tensor[]" },
-      { "name": "other", "type": "Scalar" }
+      { "name": "input", "type": "Tensor[]" },
+      { "name": "other", "type": "Scalar" }
+    ],
+    "outputs": [
+      { "type": "Tensor[]" }
+    ]
+  },
+  {
+    "name": "aten::mul.Tensor",
+    "inputs": [
+      { "name": "self", "type": "Tensor" },
+      { "name": "other", "type": "Tensor" }
+    ],
+    "outputs": [
+      { "type": "Tensor" }
+    ]
+  },
+  {
+    "name": "aten::mul.float_int",
+    "inputs": [
+      { "name": "a", "type": "float32" },
+      { "name": "b", "type": "int64" }
+    ],
+    "outputs": [
+      { "type": "float32" }
+    ]
+  },
+  {
+    "name": "aten::mul.int",
+    "inputs": [
+      { "name": "a", "type": "int64" },
+      { "name": "b", "type": "int64" }
     ],
     "outputs": [
-      { "type": "Tensor[]" }
+      { "type": "int64" }
     ]
   },
   {
-    "name": "aten::mul.Tensor",
+    "name": "aten::mul.int_float",
     "inputs": [
-      { "name": "self", "type": "Tensor" },
-      { "name": "other", "type": "Tensor" }
+      { "name": "a", "type": "int64" },
+      { "name": "b", "type": "float32" }
     ],
     "outputs": [
-      { "type": "Tensor" }
+      { "type": "float32" }
     ]
   },
   {
@@ -9728,7 +10585,7 @@
       { "name": "self", "type": "Tensor" },
       { "name": "num_samples", "type": "int64" },
       { "name": "replacement", "type": "boolean", "default": false },
-      { "name": "generator", "type": "Generator", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "generator", "type": "Generator?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -9740,7 +10597,7 @@
       { "name": "self", "type": "Tensor" },
       { "name": "num_samples", "type": "int64" },
       { "name": "replacement", "type": "boolean", "default": false },
-      { "name": "generator", "type": "Generator", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "generator", "type": "Generator?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -9850,9 +10707,9 @@
     "name": "aten::nan_to_num",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "nan", "type": "float32", "optional": true, "default": null },
-      { "name": "posinf", "type": "float32", "optional": true, "default": null },
-      { "name": "neginf", "type": "float32", "optional": true, "default": null }
+      { "name": "nan", "type": "float32?", "default": null },
+      { "name": "posinf", "type": "float32?", "default": null },
+      { "name": "neginf", "type": "float32?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -9862,9 +10719,9 @@
     "name": "aten::nan_to_num.out",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "nan", "type": "float32", "optional": true, "default": null },
-      { "name": "posinf", "type": "float32", "optional": true, "default": null },
-      { "name": "neginf", "type": "float32", "optional": true, "default": null }
+      { "name": "nan", "type": "float32?", "default": null },
+      { "name": "posinf", "type": "float32?", "default": null },
+      { "name": "neginf", "type": "float32?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -9874,9 +10731,9 @@
     "name": "aten::nan_to_num_",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "nan", "type": "float32", "optional": true, "default": null },
-      { "name": "posinf", "type": "float32", "optional": true, "default": null },
-      { "name": "neginf", "type": "float32", "optional": true, "default": null }
+      { "name": "nan", "type": "float32?", "default": null },
+      { "name": "posinf", "type": "float32?", "default": null },
+      { "name": "neginf", "type": "float32?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -9936,8 +10793,8 @@
     "inputs": [
       { "name": "input", "type": "Tensor" },
       { "name": "normalized_shape", "type": "SymInt[]" },
-      { "name": "weight", "type": "Tensor", "optional": true },
-      { "name": "bias", "type": "Tensor", "optional": true },
+      { "name": "weight", "type": "Tensor?" },
+      { "name": "bias", "type": "Tensor?" },
       { "name": "eps", "type": "float32" }
     ],
     "outputs": [
@@ -10036,6 +10893,16 @@
       { "type": "boolean" }
     ]
   },
+  {
+    "name": "aten::ne.float",
+    "inputs": [
+      { "name": "a", "type": "float32" },
+      { "name": "b", "type": "float32" }
+    ],
+    "outputs": [
+      { "type": "boolean" }
+    ]
+  },
   {
     "name": "aten::ne.float_list",
     "inputs": [
@@ -10046,6 +10913,16 @@
       { "type": "boolean" }
     ]
   },
+  {
+    "name": "aten::ne.int",
+    "inputs": [
+      { "name": "a", "type": "int64" },
+      { "name": "b", "type": "int64" }
+    ],
+    "outputs": [
+      { "type": "boolean" }
+    ]
+  },
   {
     "name": "aten::ne.int_list",
     "inputs": [
@@ -10056,6 +10933,16 @@
       { "type": "boolean" }
     ]
   },
+  {
+    "name": "aten::ne.str",
+    "inputs": [
+      { "name": "a", "type": "string" },
+      { "name": "b", "type": "string" }
+    ],
+    "outputs": [
+      { "type": "boolean" }
+    ]
+  },
   {
     "name": "aten::ne.str_list",
     "inputs": [
@@ -10075,6 +10962,42 @@
       { "type": "Tensor" }
     ]
   },
+  {
+    "name": "aten::neg.Scalar",
+    "inputs": [
+      { "name": "a", "type": "Scalar" }
+    ],
+    "outputs": [
+      { "type": "Scalar" }
+    ]
+  },
+  {
+    "name": "aten::neg.complex",
+    "inputs": [
+      { "name": "a", "type": "complex" }
+    ],
+    "outputs": [
+      { "type": "complex" }
+    ]
+  },
+  {
+    "name": "aten::neg.float",
+    "inputs": [
+      { "name": "a", "type": "float32" }
+    ],
+    "outputs": [
+      { "type": "float32" }
+    ]
+  },
+  {
+    "name": "aten::neg.int",
+    "inputs": [
+      { "name": "a", "type": "int64" }
+    ],
+    "outputs": [
+      { "type": "int64" }
+    ]
+  },
   {
     "name": "aten::neg.out",
     "inputs": [
@@ -10089,7 +11012,7 @@
     "inputs": [
       { "name": "self", "type": "Tensor" },
       { "name": "padding", "type": "float32" },
-      { "name": "output_size", "type": "int64[]", "optional": true, "default": null }
+      { "name": "output_size", "type": "int64[]?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -10100,10 +11023,10 @@
     "inputs": [
       { "name": "self", "type": "Tensor" },
       { "name": "size", "type": "SymInt[]" },
-      { "name": "dtype", "type": "ScalarType", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "layout", "type": "Layout", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "device", "type": "Device", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "pin_memory", "type": "boolean", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "dtype", "type": "ScalarType?", "default": null, "kwarg_only": true },
+      { "name": "layout", "type": "Layout?", "default": null, "kwarg_only": true },
+      { "name": "device", "type": "Device?", "default": null, "kwarg_only": true },
+      { "name": "pin_memory", "type": "boolean?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -10115,10 +11038,10 @@
       { "name": "self", "type": "Tensor" },
       { "name": "size", "type": "SymInt[]" },
       { "name": "stride", "type": "SymInt[]" },
-      { "name": "dtype", "type": "ScalarType", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "layout", "type": "Layout", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "device", "type": "Device", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "pin_memory", "type": "boolean", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "dtype", "type": "ScalarType?", "default": null, "kwarg_only": true },
+      { "name": "layout", "type": "Layout?", "default": null, "kwarg_only": true },
+      { "name": "device", "type": "Device?", "default": null, "kwarg_only": true },
+      { "name": "pin_memory", "type": "boolean?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -10130,10 +11053,10 @@
       { "name": "self", "type": "Tensor" },
       { "name": "size", "type": "SymInt[]" },
       { "name": "fill_value", "type": "Scalar" },
-      { "name": "dtype", "type": "ScalarType", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "layout", "type": "Layout", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "device", "type": "Device", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "pin_memory", "type": "boolean", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "dtype", "type": "ScalarType?", "default": null, "kwarg_only": true },
+      { "name": "layout", "type": "Layout?", "default": null, "kwarg_only": true },
+      { "name": "device", "type": "Device?", "default": null, "kwarg_only": true },
+      { "name": "pin_memory", "type": "boolean?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -10144,10 +11067,10 @@
     "inputs": [
       { "name": "self", "type": "Tensor" },
       { "name": "size", "type": "SymInt[]" },
-      { "name": "dtype", "type": "ScalarType", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "layout", "type": "Layout", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "device", "type": "Device", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "pin_memory", "type": "boolean", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "dtype", "type": "ScalarType?", "default": null, "kwarg_only": true },
+      { "name": "layout", "type": "Layout?", "default": null, "kwarg_only": true },
+      { "name": "device", "type": "Device?", "default": null, "kwarg_only": true },
+      { "name": "pin_memory", "type": "boolean?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -10158,10 +11081,10 @@
     "inputs": [
       { "name": "self", "type": "Tensor" },
       { "name": "size", "type": "SymInt[]" },
-      { "name": "dtype", "type": "ScalarType", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "layout", "type": "Layout", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "device", "type": "Device", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "pin_memory", "type": "boolean", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "dtype", "type": "ScalarType?", "default": null, "kwarg_only": true },
+      { "name": "layout", "type": "Layout?", "default": null, "kwarg_only": true },
+      { "name": "device", "type": "Device?", "default": null, "kwarg_only": true },
+      { "name": "pin_memory", "type": "boolean?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -10172,7 +11095,7 @@
     "inputs": [
       { "name": "self", "type": "Tensor" },
       { "name": "target", "type": "Tensor" },
-      { "name": "weight", "type": "Tensor", "optional": true, "default": null },
+      { "name": "weight", "type": "Tensor?", "default": null },
       { "name": "reduction", "type": "int64", "default": "Mean" },
       { "name": "ignore_index", "type": "SymInt", "default": -100 }
     ],
@@ -10221,7 +11144,7 @@
     "name": "aten::norm.ScalarOpt_dim",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "p", "type": "Scalar", "optional": true },
+      { "name": "p", "type": "Scalar?" },
       { "name": "dim", "type": "int64[1]" },
       { "name": "keepdim", "type": "boolean", "default": false }
     ],
@@ -10233,7 +11156,7 @@
     "name": "aten::norm.ScalarOpt_dim_dtype",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "p", "type": "Scalar", "optional": true },
+      { "name": "p", "type": "Scalar?" },
       { "name": "dim", "type": "int64[1]" },
       { "name": "keepdim", "type": "boolean" },
       { "name": "dtype", "type": "ScalarType", "kwarg_only": true }
@@ -10246,7 +11169,7 @@
     "name": "aten::norm.ScalarOpt_dtype",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "p", "type": "Scalar", "optional": true },
+      { "name": "p", "type": "Scalar?" },
       { "name": "dtype", "type": "ScalarType", "kwarg_only": true }
     ],
     "outputs": [
@@ -10257,7 +11180,7 @@
     "name": "aten::norm.dtype_out",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "p", "type": "Scalar", "optional": true },
+      { "name": "p", "type": "Scalar?" },
       { "name": "dim", "type": "int64[1]" },
       { "name": "keepdim", "type": "boolean", "default": false },
       { "name": "dtype", "type": "ScalarType", "kwarg_only": true }
@@ -10270,7 +11193,7 @@
     "name": "aten::norm.names_ScalarOpt_dim",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "p", "type": "Scalar", "optional": true },
+      { "name": "p", "type": "Scalar?" },
       { "name": "dim", "type": "Dimname[1]" },
       { "name": "keepdim", "type": "boolean", "default": false }
     ],
@@ -10282,7 +11205,7 @@
     "name": "aten::norm.names_ScalarOpt_dim_dtype",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "p", "type": "Scalar", "optional": true },
+      { "name": "p", "type": "Scalar?" },
       { "name": "dim", "type": "Dimname[1]" },
       { "name": "keepdim", "type": "boolean" },
       { "name": "dtype", "type": "ScalarType", "kwarg_only": true }
@@ -10295,7 +11218,7 @@
     "name": "aten::norm.names_dtype_out",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "p", "type": "Scalar", "optional": true },
+      { "name": "p", "type": "Scalar?" },
       { "name": "dim", "type": "Dimname[1]" },
       { "name": "keepdim", "type": "boolean" },
       { "name": "dtype", "type": "ScalarType", "kwarg_only": true }
@@ -10308,7 +11231,7 @@
     "name": "aten::norm.names_out",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "p", "type": "Scalar", "optional": true },
+      { "name": "p", "type": "Scalar?" },
       { "name": "dim", "type": "Dimname[1]" },
       { "name": "keepdim", "type": "boolean", "default": false }
     ],
@@ -10320,7 +11243,7 @@
     "name": "aten::norm.out",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "p", "type": "Scalar", "optional": true },
+      { "name": "p", "type": "Scalar?" },
       { "name": "dim", "type": "int64[1]" },
       { "name": "keepdim", "type": "boolean", "default": false }
     ],
@@ -10333,7 +11256,7 @@
     "inputs": [
       { "name": "mean", "type": "Tensor" },
       { "name": "std", "type": "Tensor" },
-      { "name": "generator", "type": "Generator", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "generator", "type": "Generator?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -10344,7 +11267,7 @@
     "inputs": [
       { "name": "mean", "type": "Tensor" },
       { "name": "std", "type": "Tensor" },
-      { "name": "generator", "type": "Generator", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "generator", "type": "Generator?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -10355,7 +11278,7 @@
     "inputs": [
       { "name": "mean", "type": "Tensor" },
       { "name": "std", "type": "float32", "default": 1 },
-      { "name": "generator", "type": "Generator", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "generator", "type": "Generator?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -10366,7 +11289,7 @@
     "inputs": [
       { "name": "mean", "type": "Tensor" },
       { "name": "std", "type": "float32", "default": 1 },
-      { "name": "generator", "type": "Generator", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "generator", "type": "Generator?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -10377,7 +11300,7 @@
     "inputs": [
       { "name": "mean", "type": "float32" },
       { "name": "std", "type": "Tensor" },
-      { "name": "generator", "type": "Generator", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "generator", "type": "Generator?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -10388,7 +11311,7 @@
     "inputs": [
       { "name": "mean", "type": "float32" },
       { "name": "std", "type": "Tensor" },
-      { "name": "generator", "type": "Generator", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "generator", "type": "Generator?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -10400,11 +11323,11 @@
       { "name": "mean", "type": "float32", "default": 0 },
       { "name": "std", "type": "float32" },
       { "name": "size", "type": "SymInt[]" },
-      { "name": "generator", "type": "Generator", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "dtype", "type": "ScalarType", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "layout", "type": "Layout", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "device", "type": "Device", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "pin_memory", "type": "boolean", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "generator", "type": "Generator?", "default": null, "kwarg_only": true },
+      { "name": "dtype", "type": "ScalarType?", "default": null, "kwarg_only": true },
+      { "name": "layout", "type": "Layout?", "default": null, "kwarg_only": true },
+      { "name": "device", "type": "Device?", "default": null, "kwarg_only": true },
+      { "name": "pin_memory", "type": "boolean?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -10416,7 +11339,7 @@
       { "name": "mean", "type": "float32" },
       { "name": "std", "type": "float32" },
       { "name": "size", "type": "SymInt[]" },
-      { "name": "generator", "type": "Generator", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "generator", "type": "Generator?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -10428,7 +11351,7 @@
       { "name": "self", "type": "Tensor" },
       { "name": "mean", "type": "float32", "default": 0 },
       { "name": "std", "type": "float32", "default": 1 },
-      { "name": "generator", "type": "Generator", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "generator", "type": "Generator?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -10475,10 +11398,10 @@
     "name": "aten::ones",
     "inputs": [
       { "name": "size", "type": "SymInt[]" },
-      { "name": "dtype", "type": "ScalarType", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "layout", "type": "Layout", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "device", "type": "Device", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "pin_memory", "type": "boolean", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "dtype", "type": "ScalarType?", "default": null, "kwarg_only": true },
+      { "name": "layout", "type": "Layout?", "default": null, "kwarg_only": true },
+      { "name": "device", "type": "Device?", "default": null, "kwarg_only": true },
+      { "name": "pin_memory", "type": "boolean?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -10488,11 +11411,11 @@
     "name": "aten::ones.names",
     "inputs": [
       { "name": "size", "type": "int64[]" },
-      { "name": "names", "type": "Dimname[]", "optional": true, "kwarg_only": true },
-      { "name": "dtype", "type": "ScalarType", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "layout", "type": "Layout", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "device", "type": "Device", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "pin_memory", "type": "boolean", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "names", "type": "Dimname[]?", "kwarg_only": true },
+      { "name": "dtype", "type": "ScalarType?", "default": null, "kwarg_only": true },
+      { "name": "layout", "type": "Layout?", "default": null, "kwarg_only": true },
+      { "name": "device", "type": "Device?", "default": null, "kwarg_only": true },
+      { "name": "pin_memory", "type": "boolean?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -10511,11 +11434,11 @@
     "name": "aten::ones_like",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "dtype", "type": "ScalarType", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "layout", "type": "Layout", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "device", "type": "Device", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "pin_memory", "type": "boolean", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "memory_format", "type": "MemoryFormat", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "dtype", "type": "ScalarType?", "default": null, "kwarg_only": true },
+      { "name": "layout", "type": "Layout?", "default": null, "kwarg_only": true },
+      { "name": "device", "type": "Device?", "default": null, "kwarg_only": true },
+      { "name": "pin_memory", "type": "boolean?", "default": null, "kwarg_only": true },
+      { "name": "memory_format", "type": "MemoryFormat?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -10528,7 +11451,7 @@
       { "name": "self", "type": "Tensor" },
       { "name": "pad", "type": "SymInt[]" },
       { "name": "mode", "type": "string", "default": "constant" },
-      { "name": "value", "type": "float32", "optional": true, "default": null }
+      { "name": "value", "type": "float32?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -10584,7 +11507,7 @@
     "name": "aten::pin_memory",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "device", "type": "Device", "optional": true, "default": null }
+      { "name": "device", "type": "Device?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -10755,7 +11678,7 @@
     "name": "aten::prod",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "dtype", "type": "ScalarType", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "dtype", "type": "ScalarType?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -10767,7 +11690,7 @@
       { "name": "self", "type": "Tensor" },
       { "name": "dim", "type": "Dimname" },
       { "name": "keepdim", "type": "boolean", "default": false },
-      { "name": "dtype", "type": "ScalarType", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "dtype", "type": "ScalarType?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -10779,7 +11702,7 @@
       { "name": "self", "type": "Tensor" },
       { "name": "dim", "type": "Dimname" },
       { "name": "keepdim", "type": "boolean", "default": false },
-      { "name": "dtype", "type": "ScalarType", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "dtype", "type": "ScalarType?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -10791,7 +11714,7 @@
       { "name": "self", "type": "Tensor" },
       { "name": "dim", "type": "int64" },
       { "name": "keepdim", "type": "boolean", "default": false },
-      { "name": "dtype", "type": "ScalarType", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "dtype", "type": "ScalarType?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -10803,7 +11726,7 @@
       { "name": "self", "type": "Tensor" },
       { "name": "dim", "type": "int64" },
       { "name": "keepdim", "type": "boolean", "default": false },
-      { "name": "dtype", "type": "ScalarType", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "dtype", "type": "ScalarType?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -10826,7 +11749,7 @@
     "inputs": [
       { "name": "self", "type": "Tensor" },
       { "name": "q", "type": "Tensor" },
-      { "name": "dim", "type": "int64", "optional": true, "default": null },
+      { "name": "dim", "type": "int64?", "default": null },
       { "name": "keepdim", "type": "boolean", "default": false },
       { "name": "interpolation", "type": "string", "default": "linear", "kwarg_only": true }
     ],
@@ -10839,7 +11762,7 @@
     "inputs": [
       { "name": "self", "type": "Tensor" },
       { "name": "q", "type": "Tensor" },
-      { "name": "dim", "type": "int64", "optional": true, "default": null },
+      { "name": "dim", "type": "int64?", "default": null },
       { "name": "keepdim", "type": "boolean", "default": false },
       { "name": "interpolation", "type": "string", "default": "linear", "kwarg_only": true }
     ],
@@ -10852,7 +11775,7 @@
     "inputs": [
       { "name": "self", "type": "Tensor" },
       { "name": "q", "type": "float32" },
-      { "name": "dim", "type": "int64", "optional": true, "default": null },
+      { "name": "dim", "type": "int64?", "default": null },
       { "name": "keepdim", "type": "boolean", "default": false },
       { "name": "interpolation", "type": "string", "default": "linear", "kwarg_only": true }
     ],
@@ -10865,7 +11788,7 @@
     "inputs": [
       { "name": "self", "type": "Tensor" },
       { "name": "q", "type": "float32" },
-      { "name": "dim", "type": "int64", "optional": true, "default": null },
+      { "name": "dim", "type": "int64?", "default": null },
       { "name": "keepdim", "type": "boolean", "default": false },
       { "name": "interpolation", "type": "string", "default": "linear", "kwarg_only": true }
     ],
@@ -11027,7 +11950,7 @@
       { "name": "dropout", "type": "float32" },
       { "name": "train", "type": "boolean" },
       { "name": "bidirectional", "type": "boolean" },
-      { "name": "dtype", "type": "ScalarType", "optional": true, "default": null, "kwarg_only": true },
+      { "name": "dtype", "type": "ScalarType?", "default": null, "kwarg_only": true },
       { "name": "use_dynamic", "type": "boolean", "default": false, "kwarg_only": true }
     ],
     "outputs": [
@@ -11049,7 +11972,7 @@
       { "name": "dropout", "type": "float32" },
       { "name": "train", "type": "boolean" },
       { "name": "bidirectional", "type": "boolean" },
-      { "name": "dtype", "type": "ScalarType", "optional": true, "default": null, "kwarg_only": true },
+      { "name": "dtype", "type": "ScalarType?", "default": null, "kwarg_only": true },
       { "name": "use_dynamic", "type": "boolean", "default": false, "kwarg_only": true }
     ],
     "outputs": [
@@ -11071,7 +11994,7 @@
       { "name": "train", "type": "boolean" },
       { "name": "bidirectional", "type": "boolean" },
       { "name": "batch_first", "type": "boolean" },
-      { "name": "dtype", "type": "ScalarType", "optional": true, "default": null, "kwarg_only": true },
+      { "name": "dtype", "type": "ScalarType?", "default": null, "kwarg_only": true },
       { "name": "use_dynamic", "type": "boolean", "default": false, "kwarg_only": true }
     ],
     "outputs": [
@@ -11093,7 +12016,7 @@
       { "name": "train", "type": "boolean" },
       { "name": "bidirectional", "type": "boolean" },
       { "name": "batch_first", "type": "boolean" },
-      { "name": "dtype", "type": "ScalarType", "optional": true, "default": null, "kwarg_only": true },
+      { "name": "dtype", "type": "ScalarType?", "default": null, "kwarg_only": true },
       { "name": "use_dynamic", "type": "boolean", "default": false, "kwarg_only": true }
     ],
     "outputs": [
@@ -11129,10 +12052,10 @@
     "name": "aten::rand",
     "inputs": [
       { "name": "size", "type": "SymInt[]" },
-      { "name": "dtype", "type": "ScalarType", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "layout", "type": "Layout", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "device", "type": "Device", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "pin_memory", "type": "boolean", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "dtype", "type": "ScalarType?", "default": null, "kwarg_only": true },
+      { "name": "layout", "type": "Layout?", "default": null, "kwarg_only": true },
+      { "name": "device", "type": "Device?", "default": null, "kwarg_only": true },
+      { "name": "pin_memory", "type": "boolean?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -11142,11 +12065,11 @@
     "name": "aten::rand.generator",
     "inputs": [
       { "name": "size", "type": "SymInt[]", "default": null },
-      { "name": "generator", "type": "Generator", "optional": true, "kwarg_only": true },
-      { "name": "dtype", "type": "ScalarType", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "layout", "type": "Layout", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "device", "type": "Device", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "pin_memory", "type": "boolean", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "generator", "type": "Generator?", "kwarg_only": true },
+      { "name": "dtype", "type": "ScalarType?", "default": null, "kwarg_only": true },
+      { "name": "layout", "type": "Layout?", "default": null, "kwarg_only": true },
+      { "name": "device", "type": "Device?", "default": null, "kwarg_only": true },
+      { "name": "pin_memory", "type": "boolean?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -11156,7 +12079,7 @@
     "name": "aten::rand.generator_out",
     "inputs": [
       { "name": "size", "type": "SymInt[]" },
-      { "name": "generator", "type": "Generator", "optional": true, "kwarg_only": true }
+      { "name": "generator", "type": "Generator?", "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -11166,12 +12089,12 @@
     "name": "aten::rand.generator_with_names",
     "inputs": [
       { "name": "size", "type": "SymInt[]" },
-      { "name": "generator", "type": "Generator", "optional": true, "kwarg_only": true },
-      { "name": "names", "type": "Dimname[]", "optional": true, "kwarg_only": true },
-      { "name": "dtype", "type": "ScalarType", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "layout", "type": "Layout", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "device", "type": "Device", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "pin_memory", "type": "boolean", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "generator", "type": "Generator?", "kwarg_only": true },
+      { "name": "names", "type": "Dimname[]?", "kwarg_only": true },
+      { "name": "dtype", "type": "ScalarType?", "default": null, "kwarg_only": true },
+      { "name": "layout", "type": "Layout?", "default": null, "kwarg_only": true },
+      { "name": "device", "type": "Device?", "default": null, "kwarg_only": true },
+      { "name": "pin_memory", "type": "boolean?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -11181,11 +12104,11 @@
     "name": "aten::rand.names",
     "inputs": [
       { "name": "size", "type": "SymInt[]" },
-      { "name": "names", "type": "Dimname[]", "optional": true, "kwarg_only": true },
-      { "name": "dtype", "type": "ScalarType", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "layout", "type": "Layout", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "device", "type": "Device", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "pin_memory", "type": "boolean", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "names", "type": "Dimname[]?", "kwarg_only": true },
+      { "name": "dtype", "type": "ScalarType?", "default": null, "kwarg_only": true },
+      { "name": "layout", "type": "Layout?", "default": null, "kwarg_only": true },
+      { "name": "device", "type": "Device?", "default": null, "kwarg_only": true },
+      { "name": "pin_memory", "type": "boolean?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -11204,11 +12127,11 @@
     "name": "aten::rand_like",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "dtype", "type": "ScalarType", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "layout", "type": "Layout", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "device", "type": "Device", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "pin_memory", "type": "boolean", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "memory_format", "type": "MemoryFormat", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "dtype", "type": "ScalarType?", "default": null, "kwarg_only": true },
+      { "name": "layout", "type": "Layout?", "default": null, "kwarg_only": true },
+      { "name": "device", "type": "Device?", "default": null, "kwarg_only": true },
+      { "name": "pin_memory", "type": "boolean?", "default": null, "kwarg_only": true },
+      { "name": "memory_format", "type": "MemoryFormat?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -11219,10 +12142,10 @@
     "inputs": [
       { "name": "high", "type": "SymInt" },
       { "name": "size", "type": "SymInt[]" },
-      { "name": "dtype", "type": "ScalarType", "optional": true, "default": "long", "kwarg_only": true },
-      { "name": "layout", "type": "Layout", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "device", "type": "Device", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "pin_memory", "type": "boolean", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "dtype", "type": "ScalarType?", "default": "long", "kwarg_only": true },
+      { "name": "layout", "type": "Layout?", "default": null, "kwarg_only": true },
+      { "name": "device", "type": "Device?", "default": null, "kwarg_only": true },
+      { "name": "pin_memory", "type": "boolean?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -11233,11 +12156,11 @@
     "inputs": [
       { "name": "high", "type": "SymInt" },
       { "name": "size", "type": "SymInt[]" },
-      { "name": "generator", "type": "Generator", "optional": true, "kwarg_only": true },
-      { "name": "dtype", "type": "ScalarType", "optional": true, "default": "long", "kwarg_only": true },
-      { "name": "layout", "type": "Layout", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "device", "type": "Device", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "pin_memory", "type": "boolean", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "generator", "type": "Generator?", "kwarg_only": true },
+      { "name": "dtype", "type": "ScalarType?", "default": "long", "kwarg_only": true },
+      { "name": "layout", "type": "Layout?", "default": null, "kwarg_only": true },
+      { "name": "device", "type": "Device?", "default": null, "kwarg_only": true },
+      { "name": "pin_memory", "type": "boolean?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -11248,7 +12171,7 @@
     "inputs": [
       { "name": "high", "type": "SymInt" },
       { "name": "size", "type": "SymInt[]" },
-      { "name": "generator", "type": "Generator", "optional": true, "kwarg_only": true }
+      { "name": "generator", "type": "Generator?", "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -11260,10 +12183,10 @@
       { "name": "low", "type": "SymInt", "default": null },
       { "name": "high", "type": "SymInt", "default": null },
       { "name": "size", "type": "SymInt[]" },
-      { "name": "dtype", "type": "ScalarType", "optional": true, "default": "long", "kwarg_only": true },
-      { "name": "layout", "type": "Layout", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "device", "type": "Device", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "pin_memory", "type": "boolean", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "dtype", "type": "ScalarType?", "default": "long", "kwarg_only": true },
+      { "name": "layout", "type": "Layout?", "default": null, "kwarg_only": true },
+      { "name": "device", "type": "Device?", "default": null, "kwarg_only": true },
+      { "name": "pin_memory", "type": "boolean?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -11275,11 +12198,11 @@
       { "name": "low", "type": "SymInt", "default": null },
       { "name": "high", "type": "SymInt", "default": null },
       { "name": "size", "type": "SymInt[]" },
-      { "name": "generator", "type": "Generator", "optional": true, "kwarg_only": true },
-      { "name": "dtype", "type": "ScalarType", "optional": true, "default": "long", "kwarg_only": true },
-      { "name": "layout", "type": "Layout", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "device", "type": "Device", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "pin_memory", "type": "boolean", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "generator", "type": "Generator?", "kwarg_only": true },
+      { "name": "dtype", "type": "ScalarType?", "default": "long", "kwarg_only": true },
+      { "name": "layout", "type": "Layout?", "default": null, "kwarg_only": true },
+      { "name": "device", "type": "Device?", "default": null, "kwarg_only": true },
+      { "name": "pin_memory", "type": "boolean?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -11291,7 +12214,7 @@
       { "name": "low", "type": "SymInt" },
       { "name": "high", "type": "SymInt" },
       { "name": "size", "type": "SymInt[]" },
-      { "name": "generator", "type": "Generator", "optional": true, "kwarg_only": true }
+      { "name": "generator", "type": "Generator?", "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -11323,11 +12246,11 @@
     "inputs": [
       { "name": "self", "type": "Tensor" },
       { "name": "high", "type": "SymInt" },
-      { "name": "dtype", "type": "ScalarType", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "layout", "type": "Layout", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "device", "type": "Device", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "pin_memory", "type": "boolean", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "memory_format", "type": "MemoryFormat", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "dtype", "type": "ScalarType?", "default": null, "kwarg_only": true },
+      { "name": "layout", "type": "Layout?", "default": null, "kwarg_only": true },
+      { "name": "device", "type": "Device?", "default": null, "kwarg_only": true },
+      { "name": "pin_memory", "type": "boolean?", "default": null, "kwarg_only": true },
+      { "name": "memory_format", "type": "MemoryFormat?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -11339,11 +12262,11 @@
       { "name": "self", "type": "Tensor" },
       { "name": "low", "type": "SymInt" },
       { "name": "high", "type": "SymInt" },
-      { "name": "dtype", "type": "ScalarType", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "layout", "type": "Layout", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "device", "type": "Device", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "pin_memory", "type": "boolean", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "memory_format", "type": "MemoryFormat", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "dtype", "type": "ScalarType?", "default": null, "kwarg_only": true },
+      { "name": "layout", "type": "Layout?", "default": null, "kwarg_only": true },
+      { "name": "device", "type": "Device?", "default": null, "kwarg_only": true },
+      { "name": "pin_memory", "type": "boolean?", "default": null, "kwarg_only": true },
+      { "name": "memory_format", "type": "MemoryFormat?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -11353,10 +12276,10 @@
     "name": "aten::randn",
     "inputs": [
       { "name": "size", "type": "SymInt[]" },
-      { "name": "dtype", "type": "ScalarType", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "layout", "type": "Layout", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "device", "type": "Device", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "pin_memory", "type": "boolean", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "dtype", "type": "ScalarType?", "default": null, "kwarg_only": true },
+      { "name": "layout", "type": "Layout?", "default": null, "kwarg_only": true },
+      { "name": "device", "type": "Device?", "default": null, "kwarg_only": true },
+      { "name": "pin_memory", "type": "boolean?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -11366,11 +12289,11 @@
     "name": "aten::randn.generator",
     "inputs": [
       { "name": "size", "type": "SymInt[]" },
-      { "name": "generator", "type": "Generator", "optional": true, "kwarg_only": true },
-      { "name": "dtype", "type": "ScalarType", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "layout", "type": "Layout", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "device", "type": "Device", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "pin_memory", "type": "boolean", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "generator", "type": "Generator?", "kwarg_only": true },
+      { "name": "dtype", "type": "ScalarType?", "default": null, "kwarg_only": true },
+      { "name": "layout", "type": "Layout?", "default": null, "kwarg_only": true },
+      { "name": "device", "type": "Device?", "default": null, "kwarg_only": true },
+      { "name": "pin_memory", "type": "boolean?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -11380,7 +12303,7 @@
     "name": "aten::randn.generator_out",
     "inputs": [
       { "name": "size", "type": "SymInt[]" },
-      { "name": "generator", "type": "Generator", "optional": true, "kwarg_only": true }
+      { "name": "generator", "type": "Generator?", "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -11390,12 +12313,12 @@
     "name": "aten::randn.generator_with_names",
     "inputs": [
       { "name": "size", "type": "SymInt[]" },
-      { "name": "generator", "type": "Generator", "optional": true, "kwarg_only": true },
-      { "name": "names", "type": "Dimname[]", "optional": true, "kwarg_only": true },
-      { "name": "dtype", "type": "ScalarType", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "layout", "type": "Layout", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "device", "type": "Device", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "pin_memory", "type": "boolean", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "generator", "type": "Generator?", "kwarg_only": true },
+      { "name": "names", "type": "Dimname[]?", "kwarg_only": true },
+      { "name": "dtype", "type": "ScalarType?", "default": null, "kwarg_only": true },
+      { "name": "layout", "type": "Layout?", "default": null, "kwarg_only": true },
+      { "name": "device", "type": "Device?", "default": null, "kwarg_only": true },
+      { "name": "pin_memory", "type": "boolean?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -11405,11 +12328,11 @@
     "name": "aten::randn.names",
     "inputs": [
       { "name": "size", "type": "SymInt[]" },
-      { "name": "names", "type": "Dimname[]", "optional": true, "kwarg_only": true },
-      { "name": "dtype", "type": "ScalarType", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "layout", "type": "Layout", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "device", "type": "Device", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "pin_memory", "type": "boolean", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "names", "type": "Dimname[]?", "kwarg_only": true },
+      { "name": "dtype", "type": "ScalarType?", "default": null, "kwarg_only": true },
+      { "name": "layout", "type": "Layout?", "default": null, "kwarg_only": true },
+      { "name": "device", "type": "Device?", "default": null, "kwarg_only": true },
+      { "name": "pin_memory", "type": "boolean?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -11428,11 +12351,11 @@
     "name": "aten::randn_like",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "dtype", "type": "ScalarType", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "layout", "type": "Layout", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "device", "type": "Device", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "pin_memory", "type": "boolean", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "memory_format", "type": "MemoryFormat", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "dtype", "type": "ScalarType?", "default": null, "kwarg_only": true },
+      { "name": "layout", "type": "Layout?", "default": null, "kwarg_only": true },
+      { "name": "device", "type": "Device?", "default": null, "kwarg_only": true },
+      { "name": "pin_memory", "type": "boolean?", "default": null, "kwarg_only": true },
+      { "name": "memory_format", "type": "MemoryFormat?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -11442,7 +12365,7 @@
     "name": "aten::random_",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "generator", "type": "Generator", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "generator", "type": "Generator?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -11453,8 +12376,8 @@
     "inputs": [
       { "name": "self", "type": "Tensor" },
       { "name": "from", "type": "int64" },
-      { "name": "to", "type": "int64", "optional": true },
-      { "name": "generator", "type": "Generator", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "to", "type": "int64?" },
+      { "name": "generator", "type": "Generator?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -11465,7 +12388,7 @@
     "inputs": [
       { "name": "self", "type": "Tensor" },
       { "name": "to", "type": "int64" },
-      { "name": "generator", "type": "Generator", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "generator", "type": "Generator?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -11475,10 +12398,10 @@
     "name": "aten::randperm",
     "inputs": [
       { "name": "n", "type": "SymInt" },
-      { "name": "dtype", "type": "ScalarType", "optional": true, "default": "long", "kwarg_only": true },
-      { "name": "layout", "type": "Layout", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "device", "type": "Device", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "pin_memory", "type": "boolean", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "dtype", "type": "ScalarType?", "default": "long", "kwarg_only": true },
+      { "name": "layout", "type": "Layout?", "default": null, "kwarg_only": true },
+      { "name": "device", "type": "Device?", "default": null, "kwarg_only": true },
+      { "name": "pin_memory", "type": "boolean?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -11488,11 +12411,11 @@
     "name": "aten::randperm.generator",
     "inputs": [
       { "name": "n", "type": "SymInt" },
-      { "name": "generator", "type": "Generator", "optional": true, "kwarg_only": true },
-      { "name": "dtype", "type": "ScalarType", "optional": true, "default": "long", "kwarg_only": true },
-      { "name": "layout", "type": "Layout", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "device", "type": "Device", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "pin_memory", "type": "boolean", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "generator", "type": "Generator?", "kwarg_only": true },
+      { "name": "dtype", "type": "ScalarType?", "default": "long", "kwarg_only": true },
+      { "name": "layout", "type": "Layout?", "default": null, "kwarg_only": true },
+      { "name": "device", "type": "Device?", "default": null, "kwarg_only": true },
+      { "name": "pin_memory", "type": "boolean?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -11502,7 +12425,7 @@
     "name": "aten::randperm.generator_out",
     "inputs": [
       { "name": "n", "type": "SymInt" },
-      { "name": "generator", "type": "Generator", "optional": true, "kwarg_only": true }
+      { "name": "generator", "type": "Generator?", "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -11647,6 +12570,16 @@
       { "type": "Tensor" }
     ]
   },
+  {
+    "name": "aten::remainder",
+    "inputs": [
+      { "name": "a", "type": "Scalar" },
+      { "name": "b", "type": "Scalar" }
+    ],
+    "outputs": [
+      { "type": "Scalar" }
+    ]
+  },
   {
     "name": "aten::remainder.Scalar",
     "inputs": [
@@ -11667,6 +12600,16 @@
       { "type": "Tensor" }
     ]
   },
+  {
+    "name": "aten::remainder.Scalar_Tensor_out",
+    "inputs": [
+      { "name": "self", "type": "Scalar" },
+      { "name": "other", "type": "Tensor" }
+    ],
+    "outputs": [
+      { "type": "Tensor" }
+    ]
+  },
   {
     "name": "aten::remainder.Scalar_out",
     "inputs": [
@@ -11698,7 +12641,7 @@
     ]
   },
   {
-    "name": "aten::remainder.float32",
+    "name": "aten::remainder.float",
     "inputs": [
       { "name": "a", "type": "float32" },
       { "name": "b", "type": "float32" }
@@ -11707,6 +12650,16 @@
       { "type": "float32" }
     ]
   },
+  {
+    "name": "aten::remainder.float_int",
+    "inputs": [
+      { "name": "a", "type": "float32" },
+      { "name": "b", "type": "int64" }
+    ],
+    "outputs": [
+      { "type": "float32" }
+    ]
+  },
   {
     "name": "aten::remainder.int",
     "inputs": [
@@ -11717,6 +12670,16 @@
       { "type": "int64" }
     ]
   },
+  {
+    "name": "aten::remainder.int_float",
+    "inputs": [
+      { "name": "a", "type": "int64" },
+      { "name": "b", "type": "float32" }
+    ],
+    "outputs": [
+      { "type": "float32" }
+    ]
+  },
   {
     "name": "aten::remainder_.Scalar",
     "inputs": [
@@ -11775,7 +12738,7 @@
     "name": "aten::repeat_interleave.Tensor",
     "inputs": [
       { "name": "repeats", "type": "Tensor" },
-      { "name": "output_size", "type": "SymInt", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "output_size", "type": "SymInt?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -11786,8 +12749,8 @@
     "inputs": [
       { "name": "self", "type": "Tensor" },
       { "name": "repeats", "type": "Tensor" },
-      { "name": "dim", "type": "int64", "optional": true, "default": null },
-      { "name": "output_size", "type": "SymInt", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "dim", "type": "int64?", "default": null },
+      { "name": "output_size", "type": "SymInt?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -11798,8 +12761,8 @@
     "inputs": [
       { "name": "self", "type": "Tensor" },
       { "name": "repeats", "type": "SymInt" },
-      { "name": "dim", "type": "int64", "optional": true, "default": null },
-      { "name": "output_size", "type": "SymInt", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "dim", "type": "int64?", "default": null },
+      { "name": "output_size", "type": "SymInt?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -11917,7 +12880,7 @@
     "inputs": [
       { "name": "self", "type": "Tensor" },
       { "name": "size", "type": "SymInt[]" },
-      { "name": "memory_format", "type": "MemoryFormat", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "memory_format", "type": "MemoryFormat?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -12029,8 +12992,8 @@
       { "name": "hx", "type": "Tensor" },
       { "name": "w_ih", "type": "Tensor" },
       { "name": "w_hh", "type": "Tensor" },
-      { "name": "b_ih", "type": "Tensor", "optional": true, "default": null },
-      { "name": "b_hh", "type": "Tensor", "optional": true, "default": null }
+      { "name": "b_ih", "type": "Tensor?", "default": null },
+      { "name": "b_hh", "type": "Tensor?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -12123,7 +13086,7 @@
       { "name": "lower", "type": "Scalar", "default": 0.125 },
       { "name": "upper", "type": "Scalar", "default": 0.3333333333333333 },
       { "name": "training", "type": "boolean", "default": false },
-      { "name": "generator", "type": "Generator", "optional": true, "default": null }
+      { "name": "generator", "type": "Generator?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -12182,10 +13145,10 @@
     "name": "aten::scalar_tensor",
     "inputs": [
       { "name": "s", "type": "Scalar" },
-      { "name": "dtype", "type": "ScalarType", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "layout", "type": "Layout", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "device", "type": "Device", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "pin_memory", "type": "boolean", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "dtype", "type": "ScalarType?", "default": null, "kwarg_only": true },
+      { "name": "layout", "type": "Layout?", "default": null, "kwarg_only": true },
+      { "name": "device", "type": "Device?", "default": null, "kwarg_only": true },
+      { "name": "pin_memory", "type": "boolean?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -12198,10 +13161,10 @@
       { "name": "query", "type": "Tensor" },
       { "name": "key", "type": "Tensor" },
       { "name": "value", "type": "Tensor" },
-      { "name": "attn_mask", "type": "Tensor", "optional": true, "default": null },
+      { "name": "attn_mask", "type": "Tensor?", "default": null },
       { "name": "dropout_p", "type": "float32", "default": 0.0 },
       { "name": "is_causal", "type": "boolean", "default": false },
-      { "name": "scale", "type": "float32", "optional": true, "default": null, "kwarg_only": true },
+      { "name": "scale", "type": "float32?", "default": null, "kwarg_only": true },
       { "name": "enable_gqa", "type": "boolean", "default": false, "kwarg_only": true }
     ],
     "outputs": [
@@ -12479,8 +13442,8 @@
       { "name": "self", "type": "Scalar" },
       { "name": "out_int32", "type": "boolean", "default": false, "kwarg_only": true },
       { "name": "right", "type": "boolean", "default": false, "kwarg_only": true },
-      { "name": "side", "type": "string", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "sorter", "type": "Tensor", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "side", "type": "string?", "default": null, "kwarg_only": true },
+      { "name": "sorter", "type": "Tensor?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -12493,8 +13456,8 @@
       { "name": "self", "type": "Scalar" },
       { "name": "out_int32", "type": "boolean", "default": false, "kwarg_only": true },
       { "name": "right", "type": "boolean", "default": false, "kwarg_only": true },
-      { "name": "side", "type": "string", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "sorter", "type": "Tensor", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "side", "type": "string?", "default": null, "kwarg_only": true },
+      { "name": "sorter", "type": "Tensor?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -12507,8 +13470,8 @@
       { "name": "self", "type": "Tensor" },
       { "name": "out_int32", "type": "boolean", "default": false, "kwarg_only": true },
       { "name": "right", "type": "boolean", "default": false, "kwarg_only": true },
-      { "name": "side", "type": "string", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "sorter", "type": "Tensor", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "side", "type": "string?", "default": null, "kwarg_only": true },
+      { "name": "sorter", "type": "Tensor?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -12521,8 +13484,8 @@
       { "name": "self", "type": "Tensor" },
       { "name": "out_int32", "type": "boolean", "default": false, "kwarg_only": true },
       { "name": "right", "type": "boolean", "default": false, "kwarg_only": true },
-      { "name": "side", "type": "string", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "sorter", "type": "Tensor", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "side", "type": "string?", "default": null, "kwarg_only": true },
+      { "name": "sorter", "type": "Tensor?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -12809,8 +13772,8 @@
     "inputs": [
       { "name": "self", "type": "Tensor" },
       { "name": "dim", "type": "int64", "default": 0 },
-      { "name": "start", "type": "SymInt", "optional": true, "default": null },
-      { "name": "end", "type": "SymInt", "optional": true, "default": null },
+      { "name": "start", "type": "SymInt?", "default": null },
+      { "name": "end", "type": "SymInt?", "default": null },
       { "name": "step", "type": "SymInt", "default": 1 }
     ],
     "outputs": [
@@ -12821,8 +13784,8 @@
     "name": "aten::slice.str",
     "inputs": [
       { "name": "string", "type": "string" },
-      { "name": "start", "type": "int64", "optional": true, "default": null },
-      { "name": "end", "type": "int64", "optional": true, "default": null },
+      { "name": "start", "type": "int64?", "default": null },
+      { "name": "end", "type": "int64?", "default": null },
       { "name": "step", "type": "int64", "default": 1 }
     ],
     "outputs": [
@@ -12833,8 +13796,8 @@
     "name": "aten::slice.t",
     "inputs": [
       { "name": "l", "type": "t[]" },
-      { "name": "start", "type": "int64", "optional": true, "default": null },
-      { "name": "end", "type": "int64", "optional": true, "default": null },
+      { "name": "start", "type": "int64?", "default": null },
+      { "name": "end", "type": "int64?", "default": null },
       { "name": "step", "type": "int64", "default": 1 }
     ],
     "outputs": [
@@ -12846,8 +13809,8 @@
     "inputs": [
       { "name": "self", "type": "Tensor" },
       { "name": "dim", "type": "int64", "default": 0 },
-      { "name": "start", "type": "SymInt", "optional": true, "default": null },
-      { "name": "end", "type": "SymInt", "optional": true, "default": null },
+      { "name": "start", "type": "SymInt?", "default": null },
+      { "name": "end", "type": "SymInt?", "default": null },
       { "name": "step", "type": "SymInt", "default": 1 }
     ],
     "outputs": [
@@ -12860,8 +13823,8 @@
       { "name": "self", "type": "Tensor" },
       { "name": "src", "type": "Tensor" },
       { "name": "dim", "type": "int64", "default": 0 },
-      { "name": "start", "type": "SymInt", "optional": true, "default": null },
-      { "name": "end", "type": "SymInt", "optional": true, "default": null },
+      { "name": "start", "type": "SymInt?", "default": null },
+      { "name": "end", "type": "SymInt?", "default": null },
       { "name": "step", "type": "SymInt", "default": 1 }
     ],
     "outputs": [
@@ -12924,7 +13887,7 @@
     "inputs": [
       { "name": "self", "type": "Tensor" },
       { "name": "dim", "type": "Dimname" },
-      { "name": "dtype", "type": "ScalarType", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "dtype", "type": "ScalarType?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -12936,7 +13899,7 @@
     "inputs": [
       { "name": "self", "type": "Tensor" },
       { "name": "dim", "type": "int64" },
-      { "name": "dtype", "type": "ScalarType", "optional": true, "default": null }
+      { "name": "dtype", "type": "ScalarType?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -12947,7 +13910,7 @@
     "inputs": [
       { "name": "self", "type": "Tensor" },
       { "name": "dim", "type": "int64" },
-      { "name": "dtype", "type": "ScalarType", "optional": true, "default": null }
+      { "name": "dtype", "type": "ScalarType?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -13048,7 +14011,7 @@
     "name": "aten::sort.dimname_stable",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "stable", "type": "boolean", "optional": true, "kwarg_only": true },
+      { "name": "stable", "type": "boolean?", "kwarg_only": true },
       { "name": "dim", "type": "Dimname", "kwarg_only": true },
       { "name": "descending", "type": "boolean", "default": false, "kwarg_only": true }
     ],
@@ -13073,7 +14036,7 @@
     "name": "aten::sort.dimname_values_stable",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "stable", "type": "boolean", "optional": true, "kwarg_only": true },
+      { "name": "stable", "type": "boolean?", "kwarg_only": true },
       { "name": "dim", "type": "Dimname", "kwarg_only": true },
       { "name": "descending", "type": "boolean", "default": false, "kwarg_only": true }
     ],
@@ -13102,7 +14065,7 @@
     "name": "aten::sort.stable",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "stable", "type": "boolean", "optional": true, "kwarg_only": true },
+      { "name": "stable", "type": "boolean?", "kwarg_only": true },
       { "name": "dim", "type": "int64", "default": -1, "kwarg_only": true },
       { "name": "descending", "type": "boolean", "default": false, "kwarg_only": true }
     ],
@@ -13135,7 +14098,7 @@
     "name": "aten::sort.values_stable",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "stable", "type": "boolean", "optional": true, "kwarg_only": true },
+      { "name": "stable", "type": "boolean?", "kwarg_only": true },
       { "name": "dim", "type": "int64", "default": -1, "kwarg_only": true },
       { "name": "descending", "type": "boolean", "default": false, "kwarg_only": true }
     ],
@@ -13201,7 +14164,7 @@
     "name": "aten::split.str",
     "inputs": [
       { "name": "self", "type": "string" },
-      { "name": "separator", "type": "string", "optional": true, "default": null },
+      { "name": "separator", "type": "string?", "default": null },
       { "name": "max", "type": "int64", "default": -1 }
     ],
     "outputs": [
@@ -13279,6 +14242,42 @@
       { "type": "Tensor" }
     ]
   },
+  {
+    "name": "aten::sqrt.Scalar",
+    "inputs": [
+      { "name": "a", "type": "Scalar" }
+    ],
+    "outputs": [
+      { "type": "Scalar" }
+    ]
+  },
+  {
+    "name": "aten::sqrt.complex",
+    "inputs": [
+      { "name": "a", "type": "complex" }
+    ],
+    "outputs": [
+      { "type": "complex" }
+    ]
+  },
+  {
+    "name": "aten::sqrt.float",
+    "inputs": [
+      { "name": "a", "type": "float32" }
+    ],
+    "outputs": [
+      { "type": "float32" }
+    ]
+  },
+  {
+    "name": "aten::sqrt.int",
+    "inputs": [
+      { "name": "a", "type": "int64" }
+    ],
+    "outputs": [
+      { "type": "float32" }
+    ]
+  },
   {
     "name": "aten::sqrt.out",
     "inputs": [
@@ -13444,8 +14443,8 @@
     "name": "aten::std.correction",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "dim", "type": "int64[1]", "optional": true, "default": null },
-      { "name": "correction", "type": "Scalar", "optional": true, "default": null, "kwarg_only": true },
+      { "name": "dim", "type": "int64[1]?", "default": null },
+      { "name": "correction", "type": "Scalar?", "default": null, "kwarg_only": true },
       { "name": "keepdim", "type": "boolean", "default": false, "kwarg_only": true }
     ],
     "outputs": [
@@ -13457,7 +14456,7 @@
     "inputs": [
       { "name": "self", "type": "Tensor" },
       { "name": "dim", "type": "Dimname[1]" },
-      { "name": "correction", "type": "Scalar", "optional": true, "default": null, "kwarg_only": true },
+      { "name": "correction", "type": "Scalar?", "default": null, "kwarg_only": true },
       { "name": "keepdim", "type": "boolean", "default": false, "kwarg_only": true }
     ],
     "outputs": [
@@ -13469,7 +14468,7 @@
     "inputs": [
       { "name": "self", "type": "Tensor" },
       { "name": "dim", "type": "Dimname[1]" },
-      { "name": "correction", "type": "Scalar", "optional": true, "default": null, "kwarg_only": true },
+      { "name": "correction", "type": "Scalar?", "default": null, "kwarg_only": true },
       { "name": "keepdim", "type": "boolean", "default": false, "kwarg_only": true }
     ],
     "outputs": [
@@ -13480,8 +14479,8 @@
     "name": "aten::std.correction_out",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "dim", "type": "int64[1]", "optional": true, "default": null },
-      { "name": "correction", "type": "Scalar", "optional": true, "default": null, "kwarg_only": true },
+      { "name": "dim", "type": "int64[1]?", "default": null },
+      { "name": "correction", "type": "Scalar?", "default": null, "kwarg_only": true },
       { "name": "keepdim", "type": "boolean", "default": false, "kwarg_only": true }
     ],
     "outputs": [
@@ -13492,7 +14491,7 @@
     "name": "aten::std.dim",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "dim", "type": "int64[1]", "optional": true },
+      { "name": "dim", "type": "int64[1]?" },
       { "name": "unbiased", "type": "boolean", "default": true },
       { "name": "keepdim", "type": "boolean", "default": false }
     ],
@@ -13528,7 +14527,7 @@
     "name": "aten::std.out",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "dim", "type": "int64[1]", "optional": true },
+      { "name": "dim", "type": "int64[1]?" },
       { "name": "unbiased", "type": "boolean", "default": true },
       { "name": "keepdim", "type": "boolean", "default": false }
     ],
@@ -13551,8 +14550,8 @@
     "name": "aten::std_mean.correction",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "dim", "type": "int64[1]", "optional": true, "default": null },
-      { "name": "correction", "type": "Scalar", "optional": true, "default": null, "kwarg_only": true },
+      { "name": "dim", "type": "int64[1]?", "default": null },
+      { "name": "correction", "type": "Scalar?", "default": null, "kwarg_only": true },
       { "name": "keepdim", "type": "boolean", "default": false, "kwarg_only": true }
     ],
     "outputs": [
@@ -13565,7 +14564,7 @@
     "inputs": [
       { "name": "self", "type": "Tensor" },
       { "name": "dim", "type": "Dimname[1]" },
-      { "name": "correction", "type": "Scalar", "optional": true, "default": null, "kwarg_only": true },
+      { "name": "correction", "type": "Scalar?", "default": null, "kwarg_only": true },
       { "name": "keepdim", "type": "boolean", "default": false, "kwarg_only": true }
     ],
     "outputs": [
@@ -13577,7 +14576,7 @@
     "name": "aten::std_mean.dim",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "dim", "type": "int64[1]", "optional": true },
+      { "name": "dim", "type": "int64[1]?" },
       { "name": "unbiased", "type": "boolean", "default": true },
       { "name": "keepdim", "type": "boolean", "default": false }
     ],
@@ -13604,12 +14603,12 @@
     "inputs": [
       { "name": "self", "type": "Tensor" },
       { "name": "n_fft", "type": "int64" },
-      { "name": "hop_length", "type": "int64", "optional": true, "default": null },
-      { "name": "win_length", "type": "int64", "optional": true, "default": null },
-      { "name": "window", "type": "Tensor", "optional": true, "default": null },
+      { "name": "hop_length", "type": "int64?", "default": null },
+      { "name": "win_length", "type": "int64?", "default": null },
+      { "name": "window", "type": "Tensor?", "default": null },
       { "name": "normalized", "type": "boolean", "default": false },
-      { "name": "onesided", "type": "boolean", "optional": true, "default": null },
-      { "name": "return_complex", "type": "boolean", "optional": true, "default": null }
+      { "name": "onesided", "type": "boolean?", "default": null },
+      { "name": "return_complex", "type": "boolean?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -13620,14 +14619,14 @@
     "inputs": [
       { "name": "self", "type": "Tensor" },
       { "name": "n_fft", "type": "int64" },
-      { "name": "hop_length", "type": "int64", "optional": true, "default": null },
-      { "name": "win_length", "type": "int64", "optional": true, "default": null },
-      { "name": "window", "type": "Tensor", "optional": true, "default": null },
+      { "name": "hop_length", "type": "int64?", "default": null },
+      { "name": "win_length", "type": "int64?", "default": null },
+      { "name": "window", "type": "Tensor?", "default": null },
       { "name": "center", "type": "boolean", "default": true },
       { "name": "pad_mode", "type": "string", "default": "reflect" },
       { "name": "normalized", "type": "boolean", "default": false },
-      { "name": "onesided", "type": "boolean", "optional": true, "default": null },
-      { "name": "return_complex", "type": "boolean", "optional": true, "default": null }
+      { "name": "onesided", "type": "boolean?", "default": null },
+      { "name": "return_complex", "type": "boolean?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -13770,7 +14769,7 @@
     "name": "aten::sum",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "dtype", "type": "ScalarType", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "dtype", "type": "ScalarType?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -13782,7 +14781,7 @@
       { "name": "self", "type": "Tensor" },
       { "name": "dim", "type": "Dimname[1]" },
       { "name": "keepdim", "type": "boolean", "default": false },
-      { "name": "dtype", "type": "ScalarType", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "dtype", "type": "ScalarType?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -13792,9 +14791,9 @@
     "name": "aten::sum.IntList_out",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "dim", "type": "int64[1]", "optional": true },
+      { "name": "dim", "type": "int64[1]?" },
       { "name": "keepdim", "type": "boolean", "default": false },
-      { "name": "dtype", "type": "ScalarType", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "dtype", "type": "ScalarType?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -13824,7 +14823,7 @@
       { "name": "self", "type": "Tensor" },
       { "name": "dim", "type": "Dimname[1]" },
       { "name": "keepdim", "type": "boolean", "default": false },
-      { "name": "dtype", "type": "ScalarType", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "dtype", "type": "ScalarType?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -13834,9 +14833,9 @@
     "name": "aten::sum.dim_IntList",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "dim", "type": "int64[1]", "optional": true },
+      { "name": "dim", "type": "int64[1]?" },
       { "name": "keepdim", "type": "boolean", "default": false },
-      { "name": "dtype", "type": "ScalarType", "default": null, "optional": true, "kwarg_only": true }
+      { "name": "dtype", "type": "ScalarType?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -13936,7 +14935,7 @@
     "inputs": [
       { "name": "self", "type": "Tensor" },
       { "name": "indices", "type": "Tensor" },
-      { "name": "dim", "type": "int64", "optional": true, "default": null }
+      { "name": "dim", "type": "int64?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -13947,7 +14946,7 @@
     "inputs": [
       { "name": "self", "type": "Tensor" },
       { "name": "indices", "type": "Tensor" },
-      { "name": "dim", "type": "int64", "optional": true, "default": null }
+      { "name": "dim", "type": "int64?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -14011,8 +15010,8 @@
     "name": "aten::tensor",
     "inputs": [
       { "name": "data", "type": "t[]" },
-      { "name": "dtype", "type": "ScalarType", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "device", "type": "Device", "optional": true, "default": null, "kwarg_only": true },
+      { "name": "dtype", "type": "ScalarType?", "default": null, "kwarg_only": true },
+      { "name": "device", "type": "Device?", "default": null, "kwarg_only": true },
       { "name": "requires_grad", "type": "boolean", "default": false, "kwarg_only": true }
     ],
     "outputs": [
@@ -14165,7 +15164,7 @@
       { "name": "dtype", "type": "ScalarType" },
       { "name": "non_blocking", "type": "boolean", "default": false },
       { "name": "copy", "type": "boolean", "default": false },
-      { "name": "memory_format", "type": "MemoryFormat", "optional": true, "default": null }
+      { "name": "memory_format", "type": "MemoryFormat?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -14178,7 +15177,7 @@
       { "name": "dtype", "type": "ScalarType" },
       { "name": "non_blocking", "type": "boolean", "default": false },
       { "name": "copy", "type": "boolean", "default": false },
-      { "name": "memory_format", "type": "MemoryFormat", "optional": true, "default": null }
+      { "name": "memory_format", "type": "MemoryFormat?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -14188,13 +15187,13 @@
     "name": "aten::to.dtype_layout",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "dtype", "type": "ScalarType", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "layout", "type": "Layout", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "device", "type": "Device", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "pin_memory", "type": "boolean", "optional": true, "default": null, "kwarg_only": true },
+      { "name": "dtype", "type": "ScalarType?", "default": null, "kwarg_only": true },
+      { "name": "layout", "type": "Layout?", "default": null, "kwarg_only": true },
+      { "name": "device", "type": "Device?", "default": null, "kwarg_only": true },
+      { "name": "pin_memory", "type": "boolean?", "default": null, "kwarg_only": true },
       { "name": "non_blocking", "type": "boolean", "default": false, "kwarg_only": true },
       { "name": "copy", "type": "boolean", "default": false, "kwarg_only": true },
-      { "name": "memory_format", "type": "MemoryFormat", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "memory_format", "type": "MemoryFormat?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -14207,7 +15206,7 @@
       { "name": "other", "type": "Tensor" },
       { "name": "non_blocking", "type": "boolean", "default": false },
       { "name": "copy", "type": "boolean", "default": false },
-      { "name": "memory_format", "type": "MemoryFormat", "optional": true, "default": null }
+      { "name": "memory_format", "type": "MemoryFormat?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -14217,8 +15216,8 @@
     "name": "aten::to.prim_Device",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "device", "type": "Device", "optional": true },
-      { "name": "dtype", "type": "int64", "optional": true, "default": null },
+      { "name": "device", "type": "Device?" },
+      { "name": "dtype", "type": "int64?", "default": null },
       { "name": "non_blocking", "type": "boolean", "default": false },
       { "name": "copy", "type": "boolean", "default": false }
     ],
@@ -14230,7 +15229,7 @@
     "name": "aten::to.prim_dtype",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "dtype", "type": "int64", "optional": true, "default": null },
+      { "name": "dtype", "type": "int64?", "default": null },
       { "name": "non_blocking", "type": "boolean", "default": false },
       { "name": "copy", "type": "boolean", "default": false }
     ],
@@ -14253,8 +15252,8 @@
     "name": "aten::to_dense",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "dtype", "type": "ScalarType", "optional": true, "default": null },
-      { "name": "masked_grad", "type": "boolean", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "dtype", "type": "ScalarType?", "default": null },
+      { "name": "masked_grad", "type": "boolean?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -14265,7 +15264,7 @@
     "inputs": [
       { "name": "grad", "type": "Tensor" },
       { "name": "input", "type": "Tensor" },
-      { "name": "masked_grad", "type": "boolean", "optional": true, "default": null }
+      { "name": "masked_grad", "type": "boolean?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -14275,7 +15274,7 @@
     "name": "aten::to_mkldnn",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "dtype", "type": "ScalarType", "optional": true, "default": null }
+      { "name": "dtype", "type": "ScalarType?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -14296,7 +15295,7 @@
     "inputs": [
       { "name": "self", "type": "Tensor" },
       { "name": "padding", "type": "float32" },
-      { "name": "output_size", "type": "SymInt[]", "optional": true, "default": null }
+      { "name": "output_size", "type": "SymInt[]?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -14306,9 +15305,9 @@
     "name": "aten::to_sparse",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "layout", "type": "Layout", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "blocksize", "type": "int64[2]", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "dense_dim", "type": "int64", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "layout", "type": "Layout?", "default": null, "kwarg_only": true },
+      { "name": "blocksize", "type": "int64[2]?", "default": null, "kwarg_only": true },
+      { "name": "dense_dim", "type": "int64?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -14329,7 +15328,7 @@
     "inputs": [
       { "name": "self", "type": "Tensor" },
       { "name": "blocksize", "type": "int64[2]" },
-      { "name": "dense_dim", "type": "int64", "optional": true, "default": null }
+      { "name": "dense_dim", "type": "int64?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -14340,7 +15339,7 @@
     "inputs": [
       { "name": "self", "type": "Tensor" },
       { "name": "blocksize", "type": "int64[2]" },
-      { "name": "dense_dim", "type": "int64", "optional": true, "default": null }
+      { "name": "dense_dim", "type": "int64?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -14350,7 +15349,7 @@
     "name": "aten::to_sparse_csc",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "dense_dim", "type": "int64", "optional": true, "default": null }
+      { "name": "dense_dim", "type": "int64?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -14360,7 +15359,7 @@
     "name": "aten::to_sparse_csr",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "dense_dim", "type": "int64", "optional": true, "default": null }
+      { "name": "dense_dim", "type": "int64?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -14479,10 +15478,10 @@
       { "name": "row", "type": "int64" },
       { "name": "col", "type": "int64" },
       { "name": "offset", "type": "int64", "default": 0 },
-      { "name": "dtype", "type": "ScalarType", "optional": true, "default": "long", "kwarg_only": true },
-      { "name": "layout", "type": "Layout", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "device", "type": "Device", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "pin_memory", "type": "boolean", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "dtype", "type": "ScalarType?", "default": "long", "kwarg_only": true },
+      { "name": "layout", "type": "Layout?", "default": null, "kwarg_only": true },
+      { "name": "device", "type": "Device?", "default": null, "kwarg_only": true },
+      { "name": "pin_memory", "type": "boolean?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -14524,10 +15523,10 @@
       { "name": "row", "type": "int64" },
       { "name": "col", "type": "int64" },
       { "name": "offset", "type": "int64", "default": 0 },
-      { "name": "dtype", "type": "ScalarType", "optional": true, "default": "long", "kwarg_only": true },
-      { "name": "layout", "type": "Layout", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "device", "type": "Device", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "pin_memory", "type": "boolean", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "dtype", "type": "ScalarType?", "default": "long", "kwarg_only": true },
+      { "name": "layout", "type": "Layout?", "default": null, "kwarg_only": true },
+      { "name": "device", "type": "Device?", "default": null, "kwarg_only": true },
+      { "name": "pin_memory", "type": "boolean?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -14656,7 +15655,7 @@
       { "name": "self", "type": "Tensor" },
       { "name": "from", "type": "float32", "default": 0 },
       { "name": "to", "type": "float32", "default": 1 },
-      { "name": "generator", "type": "Generator", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "generator", "type": "Generator?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -14669,7 +15668,7 @@
       { "name": "self", "type": "Tensor" },
       { "name": "return_inverse", "type": "boolean", "default": false },
       { "name": "return_counts", "type": "boolean", "default": false },
-      { "name": "dim", "type": "int64", "optional": true, "default": null }
+      { "name": "dim", "type": "int64?", "default": null }
     ],
     "outputs": [
       { "name": "output1", "type": "Tensor" },
@@ -14769,8 +15768,8 @@
       { "name": "self", "type": "Tensor" },
       { "name": "output_size", "type": "SymInt[2]" },
       { "name": "align_corners", "type": "boolean" },
-      { "name": "scales_h", "type": "float32", "optional": true, "default": null },
-      { "name": "scales_w", "type": "float32", "optional": true, "default": null }
+      { "name": "scales_h", "type": "float32?", "default": null },
+      { "name": "scales_w", "type": "float32?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -14782,8 +15781,8 @@
       { "name": "self", "type": "Tensor" },
       { "name": "output_size", "type": "SymInt[2]" },
       { "name": "align_corners", "type": "boolean" },
-      { "name": "scales_h", "type": "float32", "optional": true, "default": null },
-      { "name": "scales_w", "type": "float32", "optional": true, "default": null }
+      { "name": "scales_h", "type": "float32?", "default": null },
+      { "name": "scales_w", "type": "float32?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -14794,9 +15793,9 @@
     "category": "Layer",
     "inputs": [
       { "name": "input", "type": "Tensor" },
-      { "name": "output_size", "type": "SymInt[]", "optional": true },
+      { "name": "output_size", "type": "SymInt[]?" },
       { "name": "align_corners", "type": "boolean" },
-      { "name": "scale_factors", "type": "float32[]", "optional": true }
+      { "name": "scale_factors", "type": "float32[]?" }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -14809,8 +15808,8 @@
       { "name": "self", "type": "Tensor" },
       { "name": "output_size", "type": "SymInt[2]" },
       { "name": "align_corners", "type": "boolean" },
-      { "name": "scales_h", "type": "float32", "optional": true, "default": null },
-      { "name": "scales_w", "type": "float32", "optional": true, "default": null }
+      { "name": "scales_h", "type": "float32?", "default": null },
+      { "name": "scales_w", "type": "float32?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -14822,8 +15821,8 @@
       { "name": "self", "type": "Tensor" },
       { "name": "output_size", "type": "SymInt[2]" },
       { "name": "align_corners", "type": "boolean" },
-      { "name": "scales_h", "type": "float32", "optional": true, "default": null },
-      { "name": "scales_w", "type": "float32", "optional": true, "default": null }
+      { "name": "scales_h", "type": "float32?", "default": null },
+      { "name": "scales_w", "type": "float32?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -14834,9 +15833,9 @@
     "category": "Layer",
     "inputs": [
       { "name": "input", "type": "Tensor" },
-      { "name": "output_size", "type": "SymInt[]", "optional": true },
+      { "name": "output_size", "type": "SymInt[]?" },
       { "name": "align_corners", "type": "boolean" },
-      { "name": "scale_factors", "type": "float32[]", "optional": true }
+      { "name": "scale_factors", "type": "float32[]?" }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -14849,8 +15848,8 @@
       { "name": "output_size", "type": "SymInt[2]" },
       { "name": "input_size", "type": "SymInt[4]" },
       { "name": "align_corners", "type": "boolean" },
-      { "name": "scales_h", "type": "float32", "optional": true, "default": null },
-      { "name": "scales_w", "type": "float32", "optional": true, "default": null }
+      { "name": "scales_h", "type": "float32?", "default": null },
+      { "name": "scales_w", "type": "float32?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -14863,8 +15862,8 @@
       { "name": "output_size", "type": "SymInt[2]" },
       { "name": "input_size", "type": "SymInt[4]" },
       { "name": "align_corners", "type": "boolean" },
-      { "name": "scales_h", "type": "float32", "optional": true, "default": null },
-      { "name": "scales_w", "type": "float32", "optional": true, "default": null }
+      { "name": "scales_h", "type": "float32?", "default": null },
+      { "name": "scales_w", "type": "float32?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -14876,7 +15875,7 @@
       { "name": "self", "type": "Tensor" },
       { "name": "output_size", "type": "SymInt[1]" },
       { "name": "align_corners", "type": "boolean" },
-      { "name": "scales", "type": "float32", "optional": true, "default": null }
+      { "name": "scales", "type": "float32?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -14888,7 +15887,7 @@
       { "name": "self", "type": "Tensor" },
       { "name": "output_size", "type": "SymInt[1]" },
       { "name": "align_corners", "type": "boolean" },
-      { "name": "scales", "type": "float32", "optional": true, "default": null }
+      { "name": "scales", "type": "float32?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -14898,9 +15897,9 @@
     "name": "aten::upsample_linear1d.vec",
     "inputs": [
       { "name": "input", "type": "Tensor" },
-      { "name": "output_size", "type": "SymInt[]", "optional": true },
+      { "name": "output_size", "type": "SymInt[]?" },
       { "name": "align_corners", "type": "boolean" },
-      { "name": "scale_factors", "type": "float32[]", "optional": true }
+      { "name": "scale_factors", "type": "float32[]?" }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -14912,7 +15911,7 @@
     "inputs": [
       { "name": "self", "type": "Tensor" },
       { "name": "output_size", "type": "SymInt[1]" },
-      { "name": "scales", "type": "float32", "optional": true, "default": null }
+      { "name": "scales", "type": "float32?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -14923,7 +15922,7 @@
     "inputs": [
       { "name": "self", "type": "Tensor" },
       { "name": "output_size", "type": "SymInt[1]" },
-      { "name": "scales", "type": "float32", "optional": true, "default": null }
+      { "name": "scales", "type": "float32?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -14934,8 +15933,8 @@
     "category": "Layer",
     "inputs": [
       { "name": "input", "type": "Tensor" },
-      { "name": "output_size", "type": "SymInt[]", "optional": true },
-      { "name": "scale_factors", "type": "float32[]", "optional": true }
+      { "name": "output_size", "type": "SymInt[]?" },
+      { "name": "scale_factors", "type": "float32[]?" }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -14947,8 +15946,8 @@
     "inputs": [
       { "name": "self", "type": "Tensor" },
       { "name": "output_size", "type": "SymInt[2]" },
-      { "name": "scales_h", "type": "float32", "optional": true, "default": null },
-      { "name": "scales_w", "type": "float32", "optional": true, "default": null }
+      { "name": "scales_h", "type": "float32?", "default": null },
+      { "name": "scales_w", "type": "float32?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -14959,8 +15958,8 @@
     "inputs": [
       { "name": "self", "type": "Tensor" },
       { "name": "output_size", "type": "SymInt[2]" },
-      { "name": "scales_h", "type": "float32", "optional": true, "default": null },
-      { "name": "scales_w", "type": "float32", "optional": true, "default": null }
+      { "name": "scales_h", "type": "float32?", "default": null },
+      { "name": "scales_w", "type": "float32?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -14971,8 +15970,8 @@
     "category": "Layer",
     "inputs": [
       { "name": "input", "type": "Tensor" },
-      { "name": "output_size", "type": "SymInt[]", "optional": true },
-      { "name": "scale_factors", "type": "float32[]", "optional": true }
+      { "name": "output_size", "type": "SymInt[]?" },
+      { "name": "scale_factors", "type": "float32[]?" }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -14984,8 +15983,8 @@
       { "name": "grad_output", "type": "Tensor" },
       { "name": "output_size", "type": "SymInt[2]" },
       { "name": "input_size", "type": "SymInt[4]" },
-      { "name": "scales_h", "type": "float32", "optional": true, "default": null },
-      { "name": "scales_w", "type": "float32", "optional": true, "default": null }
+      { "name": "scales_h", "type": "float32?", "default": null },
+      { "name": "scales_w", "type": "float32?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -14997,8 +15996,8 @@
       { "name": "grad_output", "type": "Tensor" },
       { "name": "output_size", "type": "SymInt[2]" },
       { "name": "input_size", "type": "SymInt[4]" },
-      { "name": "scales_h", "type": "float32", "optional": true, "default": null },
-      { "name": "scales_w", "type": "float32", "optional": true, "default": null }
+      { "name": "scales_h", "type": "float32?", "default": null },
+      { "name": "scales_w", "type": "float32?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -15010,9 +16009,9 @@
     "inputs": [
       { "name": "self", "type": "Tensor" },
       { "name": "output_size", "type": "SymInt[3]" },
-      { "name": "scales_d", "type": "float32", "optional": true, "default": null },
-      { "name": "scales_h", "type": "float32", "optional": true, "default": null },
-      { "name": "scales_w", "type": "float32", "optional": true, "default": null }
+      { "name": "scales_d", "type": "float32?", "default": null },
+      { "name": "scales_h", "type": "float32?", "default": null },
+      { "name": "scales_w", "type": "float32?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -15023,9 +16022,9 @@
     "inputs": [
       { "name": "self", "type": "Tensor" },
       { "name": "output_size", "type": "SymInt[3]" },
-      { "name": "scales_d", "type": "float32", "optional": true, "default": null },
-      { "name": "scales_h", "type": "float32", "optional": true, "default": null },
-      { "name": "scales_w", "type": "float32", "optional": true, "default": null }
+      { "name": "scales_d", "type": "float32?", "default": null },
+      { "name": "scales_h", "type": "float32?", "default": null },
+      { "name": "scales_w", "type": "float32?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -15036,8 +16035,8 @@
     "category": "Layer",
     "inputs": [
       { "name": "input", "type": "Tensor" },
-      { "name": "output_size", "type": "SymInt[]", "optional": true },
-      { "name": "scale_factors", "type": "float32[]", "optional": true }
+      { "name": "output_size", "type": "SymInt[]?" },
+      { "name": "scale_factors", "type": "float32[]?" }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -15049,9 +16048,9 @@
       { "name": "self", "type": "Tensor" },
       { "name": "output_size", "type": "SymInt[3]" },
       { "name": "align_corners", "type": "boolean" },
-      { "name": "scales_d", "type": "float32", "optional": true, "default": null },
-      { "name": "scales_h", "type": "float32", "optional": true, "default": null },
-      { "name": "scales_w", "type": "float32", "optional": true, "default": null }
+      { "name": "scales_d", "type": "float32?", "default": null },
+      { "name": "scales_h", "type": "float32?", "default": null },
+      { "name": "scales_w", "type": "float32?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -15063,9 +16062,9 @@
       { "name": "self", "type": "Tensor" },
       { "name": "output_size", "type": "SymInt[3]" },
       { "name": "align_corners", "type": "boolean" },
-      { "name": "scales_d", "type": "float32", "optional": true, "default": null },
-      { "name": "scales_h", "type": "float32", "optional": true, "default": null },
-      { "name": "scales_w", "type": "float32", "optional": true, "default": null }
+      { "name": "scales_d", "type": "float32?", "default": null },
+      { "name": "scales_h", "type": "float32?", "default": null },
+      { "name": "scales_w", "type": "float32?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -15075,9 +16074,9 @@
     "name": "aten::upsample_trilinear3d.vec",
     "inputs": [
       { "name": "input", "type": "Tensor" },
-      { "name": "output_size", "type": "SymInt[]", "optional": true },
+      { "name": "output_size", "type": "SymInt[]?" },
       { "name": "align_corners", "type": "boolean" },
-      { "name": "scale_factors", "type": "float32[]", "optional": true }
+      { "name": "scale_factors", "type": "float32[]?" }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -15090,9 +16089,9 @@
       { "name": "output_size", "type": "SymInt[3]" },
       { "name": "input_size", "type": "SymInt[5]" },
       { "name": "align_corners", "type": "boolean" },
-      { "name": "scales_d", "type": "float32", "optional": true, "default": null },
-      { "name": "scales_h", "type": "float32", "optional": true, "default": null },
-      { "name": "scales_w", "type": "float32", "optional": true, "default": null }
+      { "name": "scales_d", "type": "float32?", "default": null },
+      { "name": "scales_h", "type": "float32?", "default": null },
+      { "name": "scales_w", "type": "float32?", "default": null }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -15105,14 +16104,77 @@
       { "name": "output_size", "type": "SymInt[3]" },
       { "name": "input_size", "type": "SymInt[5]" },
       { "name": "align_corners", "type": "boolean" },
-      { "name": "scales_d", "type": "float32", "optional": true, "default": null },
-      { "name": "scales_h", "type": "float32", "optional": true, "default": null },
-      { "name": "scales_w", "type": "float32", "optional": true, "default": null }
+      { "name": "scales_d", "type": "float32?", "default": null },
+      { "name": "scales_h", "type": "float32?", "default": null },
+      { "name": "scales_w", "type": "float32?", "default": null }
+    ],
+    "outputs": [
+      { "type": "Tensor" }
+    ]
+  },
+  {
+    "name": "aten::values",
+    "inputs": [
+      { "name": "self", "type": "Tensor" }
     ],
     "outputs": [
       { "type": "Tensor" }
     ]
   },
+  {
+    "name": "aten::values.Tensor",
+    "inputs": [
+      { "name": "self", "type": "Dict(Tensor, t)" }
+    ],
+    "outputs": [
+      { "type": "t[]" }
+    ]
+  },
+  {
+    "name": "aten::values.bool",
+    "inputs": [
+      { "name": "self", "type": "Dict(boolean, t)" }
+    ],
+    "outputs": [
+      { "type": "t[]" }
+    ]
+  },
+  {
+    "name": "aten::values.complex",
+    "inputs": [
+      { "name": "self", "type": "Dict(complex, t)" }
+    ],
+    "outputs": [
+      { "type": "t[]" }
+    ]
+  },
+  {
+    "name": "aten::values.float",
+    "inputs": [
+      { "name": "self", "type": "Dict(float32, t)" }
+    ],
+    "outputs": [
+      { "type": "t[]" }
+    ]
+  },
+  {
+    "name": "aten::values.int",
+    "inputs": [
+      { "name": "self", "type": "Dict(int64, t)" }
+    ],
+    "outputs": [
+      { "type": "t[]" }
+    ]
+  },
+  {
+    "name": "aten::values.str",
+    "inputs": [
+      { "name": "self", "type": "Dict(string, t)" }
+    ],
+    "outputs": [
+      { "type": "t[]" }
+    ]
+  },
   {
     "name": "aten::var",
     "inputs": [
@@ -15127,8 +16189,8 @@
     "name": "aten::var.correction",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "dim", "type": "int64[1]", "optional": true, "default": null },
-      { "name": "correction", "type": "Scalar", "optional": true, "default": null, "kwarg_only": true },
+      { "name": "dim", "type": "int64[1]?", "default": null },
+      { "name": "correction", "type": "Scalar?", "default": null, "kwarg_only": true },
       { "name": "keepdim", "type": "boolean", "default": false, "kwarg_only": true }
     ],
     "outputs": [
@@ -15140,7 +16202,7 @@
     "inputs": [
       { "name": "self", "type": "Tensor" },
       { "name": "dim", "type": "Dimname[1]" },
-      { "name": "correction", "type": "Scalar", "default": null, "optional": true, "kwarg_only": true },
+      { "name": "correction", "type": "Scalar?", "default": null, "kwarg_only": true },
       { "name": "keepdim", "type": "boolean", "default": false, "kwarg_only": true }
     ],
     "outputs": [
@@ -15152,7 +16214,7 @@
     "inputs": [
       { "name": "self", "type": "Tensor" },
       { "name": "dim", "type": "Dimname[1]" },
-      { "name": "correction", "type": "Scalar", "optional": true, "default": null, "kwarg_only": true },
+      { "name": "correction", "type": "Scalar?", "default": null, "kwarg_only": true },
       { "name": "keepdim", "type": "boolean", "default": false, "kwarg_only": true }
     ],
     "outputs": [
@@ -15163,8 +16225,8 @@
     "name": "aten::var.correction_out",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "dim", "type": "int64[1]", "optional": true, "default": null },
-      { "name": "correction", "type": "Scalar", "optional": true, "default": null, "kwarg_only": true },
+      { "name": "dim", "type": "int64[1]?", "default": null },
+      { "name": "correction", "type": "Scalar?", "default": null, "kwarg_only": true },
       { "name": "keepdim", "type": "boolean", "default": false, "kwarg_only": true }
     ],
     "outputs": [
@@ -15175,7 +16237,7 @@
     "name": "aten::var.dim",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "dim", "type": "int64[1]", "optional": true },
+      { "name": "dim", "type": "int64[1]?" },
       { "name": "unbiased", "type": "boolean", "default": true },
       { "name": "keepdim", "type": "boolean", "default": false }
     ],
@@ -15211,7 +16273,7 @@
     "name": "aten::var.out",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "dim", "type": "int64[1]", "optional": true },
+      { "name": "dim", "type": "int64[1]?" },
       { "name": "unbiased", "type": "boolean", "default": true },
       { "name": "keepdim", "type": "boolean", "default": false }
     ],
@@ -15234,8 +16296,8 @@
     "name": "aten::var_mean.correction",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "dim", "type": "int64[1]", "optional": true, "default": null },
-      { "name": "correction", "type": "Scalar", "optional": true, "default": null, "kwarg_only": true },
+      { "name": "dim", "type": "int64[1]?", "default": null },
+      { "name": "correction", "type": "Scalar?", "default": null, "kwarg_only": true },
       { "name": "keepdim", "type": "boolean", "default": false, "kwarg_only": true }
     ],
     "outputs": [
@@ -15248,7 +16310,7 @@
     "inputs": [
       { "name": "self", "type": "Tensor" },
       { "name": "dim", "type": "Dimname[1]" },
-      { "name": "correction", "type": "Scalar", "optional": true, "default": null, "kwarg_only": true },
+      { "name": "correction", "type": "Scalar?", "default": null, "kwarg_only": true },
       { "name": "keepdim", "type": "boolean", "default": false, "kwarg_only": true }
     ],
     "outputs": [
@@ -15260,7 +16322,7 @@
     "name": "aten::var_mean.dim",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "dim", "type": "int64[1]", "optional": true },
+      { "name": "dim", "type": "int64[1]?" },
       { "name": "unbiased", "type": "boolean", "default": true },
       { "name": "keepdim", "type": "boolean", "default": false }
     ],
@@ -15411,9 +16473,17 @@
     "inputs": [
       { "name": "self", "type": "Future(t)" }
     ],
-    "outputs": [
-      { "type": "t" }
-    ]
+    "outputs": [
+      { "type": "t" }
+    ]
+  },
+  {
+    "name": "aten::warn",
+    "inputs": [
+      { "name": "message", "type": "string" },
+      { "name": "stacklevel", "type": "int64", "default": 2 }
+    ],
+    "outputs": []
   },
   {
     "name": "aten::where",
@@ -15492,10 +16562,10 @@
     "name": "aten::zeros",
     "inputs": [
       { "name": "size", "type": "SymInt[]" },
-      { "name": "dtype", "type": "ScalarType", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "layout", "type": "Layout", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "device", "type": "Device", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "pin_memory", "type": "boolean", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "dtype", "type": "ScalarType?", "default": null, "kwarg_only": true },
+      { "name": "layout", "type": "Layout?", "default": null, "kwarg_only": true },
+      { "name": "device", "type": "Device?", "default": null, "kwarg_only": true },
+      { "name": "pin_memory", "type": "boolean?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -15505,11 +16575,11 @@
     "name": "aten::zeros.names",
     "inputs": [
       { "name": "size", "type": "int64[]" },
-      { "name": "names", "type": "Dimname[]", "optional": true, "kwarg_only": true },
-      { "name": "dtype", "type": "ScalarType", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "layout", "type": "Layout", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "device", "type": "Device", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "pin_memory", "type": "boolean", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "names", "type": "Dimname[]?", "kwarg_only": true },
+      { "name": "dtype", "type": "ScalarType?", "default": null, "kwarg_only": true },
+      { "name": "layout", "type": "Layout?", "default": null, "kwarg_only": true },
+      { "name": "device", "type": "Device?", "default": null, "kwarg_only": true },
+      { "name": "pin_memory", "type": "boolean?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -15528,11 +16598,11 @@
     "name": "aten::zeros_like",
     "inputs": [
       { "name": "self", "type": "Tensor" },
-      { "name": "dtype", "type": "ScalarType", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "layout", "type": "Layout", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "device", "type": "Device", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "pin_memory", "type": "boolean", "optional": true, "default": null, "kwarg_only": true },
-      { "name": "memory_format", "type": "MemoryFormat", "optional": true, "default": null, "kwarg_only": true }
+      { "name": "dtype", "type": "ScalarType?", "default": null, "kwarg_only": true },
+      { "name": "layout", "type": "Layout?", "default": null, "kwarg_only": true },
+      { "name": "device", "type": "Device?", "default": null, "kwarg_only": true },
+      { "name": "pin_memory", "type": "boolean?", "default": null, "kwarg_only": true },
+      { "name": "memory_format", "type": "MemoryFormat?", "default": null, "kwarg_only": true }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -15552,13 +16622,13 @@
     "name": "prepacked::conv2d_clamp_prepack",
     "inputs": [
       { "name": "W", "type": "Tensor" },
-      { "name": "B", "type": "Tensor", "optional": true },
+      { "name": "B", "type": "Tensor?" },
       { "name": "stride", "type": "int64[2]" },
       { "name": "padding", "type": "int64[2]" },
       { "name": "dilation", "type": "int64[2]" },
       { "name": "groups", "type": "int64" },
-      { "name": "output_min", "type": "Scalar", "optional": true, "default": null },
-      { "name": "output_max", "type": "Scalar", "optional": true, "default": null }
+      { "name": "output_min", "type": "Scalar?", "default": null },
+      { "name": "output_max", "type": "Scalar?", "default": null }
     ],
     "outputs": [
       { "type": "__torch__.torch.classes.xnnpack.Conv2dOpContext" }
@@ -15590,9 +16660,9 @@
     "name": "prepacked::linear_clamp_prepack",
     "inputs": [
       { "name": "W", "type": "Tensor" },
-      { "name": "B", "type": "Tensor", "optional": true, "default": null },
-      { "name": "output_min", "type": "Scalar", "optional": true, "default": null },
-      { "name": "output_max", "type": "Scalar", "optional": true, "default": null }
+      { "name": "B", "type": "Tensor?", "default": null },
+      { "name": "output_min", "type": "Scalar?", "default": null },
+      { "name": "output_max", "type": "Scalar?", "default": null }
     ],
     "outputs": [
       { "type": "__torch__.torch.classes.xnnpack.LinearOpContext" }
@@ -15738,7 +16808,7 @@
     "name": "prim::RaiseException",
     "inputs": [
       { "name": "msg", "type": "string" },
-      { "name": "cls", "type": "string", "optional": true, "default": null }
+      { "name": "cls", "type": "string?", "default": null }
     ],
     "outputs": []
   },
@@ -15810,6 +16880,42 @@
       { "type": "Tensor" }
     ]
   },
+  {
+    "name": "prim::abs.Scalar",
+    "inputs": [
+      { "name": "a", "type": "Scalar" }
+    ],
+    "outputs": [
+      { "type": "Scalar" }
+    ]
+  },
+  {
+    "name": "prim::abs.complex",
+    "inputs": [
+      { "name": "a", "type": "complex" }
+    ],
+    "outputs": [
+      { "type": "float32" }
+    ]
+  },
+  {
+    "name": "prim::abs.float",
+    "inputs": [
+      { "name": "a", "type": "float32" }
+    ],
+    "outputs": [
+      { "type": "float32" }
+    ]
+  },
+  {
+    "name": "prim::abs.int",
+    "inputs": [
+      { "name": "a", "type": "int64" }
+    ],
+    "outputs": [
+      { "type": "int64" }
+    ]
+  },
   {
     "name": "prim::data",
     "inputs": [
@@ -15849,7 +16955,7 @@
   {
     "name": "prim::id",
     "inputs": [
-      { "name": "x", "type": "AnyClassType", "optional": true }
+      { "name": "x", "type": "AnyClassType?" }
     ],
     "outputs": [
       { "type": "int64" }
@@ -15861,7 +16967,7 @@
       { "name": "self", "type": "Device" }
     ],
     "outputs": [
-      { "type": "int64", "optional": true }
+      { "type": "int64?" }
     ]
   },
   {
@@ -15999,6 +17105,15 @@
       { "type": "boolean" }
     ]
   },
+  {
+    "name": "prim::isinstance",
+    "inputs": [
+      { "name": "to_check", "type": "Any" }
+    ],
+    "outputs": [
+      { "type": "boolean" }
+    ]
+  },
   {
     "name": "prim::itemsize",
     "inputs": [
@@ -16017,13 +17132,227 @@
       { "type": "Layout" }
     ]
   },
+  {
+    "name": "prim::max",
+    "inputs": [
+      { "name": "a", "type": "Scalar" },
+      { "name": "b", "type": "Scalar" }
+    ],
+    "outputs": [
+      { "type": "Scalar" }
+    ]
+  },
+  {
+    "name": "prim::max.bool_list",
+    "inputs": [
+      { "name": "l", "type": "boolean[]" },
+      { "name": "r", "type": "boolean[]" }
+    ],
+    "outputs": [
+      { "type": "boolean[]" }
+    ]
+  },
+  {
+    "name": "prim::max.float",
+    "inputs": [
+      { "name": "a", "type": "float32" },
+      { "name": "b", "type": "float32" }
+    ],
+    "outputs": [
+      { "type": "float32" }
+    ]
+  },
+  {
+    "name": "prim::max.float_int",
+    "inputs": [
+      { "name": "a", "type": "float32" },
+      { "name": "b", "type": "int64" }
+    ],
+    "outputs": [
+      { "type": "float32" }
+    ]
+  },
+  {
+    "name": "prim::max.float_list",
+    "inputs": [
+      { "name": "l", "type": "float32[]" },
+      { "name": "r", "type": "float32[]" }
+    ],
+    "outputs": [
+      { "type": "float32[]" }
+    ]
+  },
+  {
+    "name": "prim::max.int",
+    "inputs": [
+      { "name": "a", "type": "int64" },
+      { "name": "b", "type": "int64" }
+    ],
+    "outputs": [
+      { "type": "int64" }
+    ]
+  },
+  {
+    "name": "prim::max.int_float",
+    "inputs": [
+      { "name": "a", "type": "int64" },
+      { "name": "b", "type": "float32" }
+    ],
+    "outputs": [
+      { "type": "float32" }
+    ]
+  },
+  {
+    "name": "prim::max.int_list",
+    "inputs": [
+      { "name": "l", "type": "int64[]" },
+      { "name": "r", "type": "int64[]" }
+    ],
+    "outputs": [
+      { "type": "int64[]" }
+    ]
+  },
+  {
+    "name": "prim::max.self_bool",
+    "inputs": [
+      { "name": "self", "type": "boolean[]" }
+    ],
+    "outputs": [
+      { "type": "boolean" }
+    ]
+  },
+  {
+    "name": "prim::max.self_float",
+    "inputs": [
+      { "name": "self", "type": "float32[]" }
+    ],
+    "outputs": [
+      { "type": "float32" }
+    ]
+  },
+  {
+    "name": "prim::max.self_int",
+    "inputs": [
+      { "name": "self", "type": "int64[]" }
+    ],
+    "outputs": [
+      { "type": "int64" }
+    ]
+  },
+  {
+    "name": "prim::min",
+    "inputs": [
+      { "name": "a", "type": "Scalar" },
+      { "name": "b", "type": "Scalar" }
+    ],
+    "outputs": [
+      { "type": "Scalar" }
+    ]
+  },
+  {
+    "name": "prim::min.bool_list",
+    "inputs": [
+      { "name": "l", "type": "boolean[]" },
+      { "name": "r", "type": "boolean[]" }
+    ],
+    "outputs": [
+      { "type": "boolean[]" }
+    ]
+  },
+  {
+    "name": "prim::min.float",
+    "inputs": [
+      { "name": "a", "type": "float32" },
+      { "name": "b", "type": "float32" }
+    ],
+    "outputs": [
+      { "type": "float32" }
+    ]
+  },
+  {
+    "name": "prim::min.float_int",
+    "inputs": [
+      { "name": "a", "type": "float32" },
+      { "name": "b", "type": "int64" }
+    ],
+    "outputs": [
+      { "type": "float32" }
+    ]
+  },
+  {
+    "name": "prim::min.float_list",
+    "inputs": [
+      { "name": "l", "type": "float32[]" },
+      { "name": "r", "type": "float32[]" }
+    ],
+    "outputs": [
+      { "type": "float32[]" }
+    ]
+  },
+  {
+    "name": "prim::min.int",
+    "inputs": [
+      { "name": "a", "type": "int64" },
+      { "name": "b", "type": "int64" }
+    ],
+    "outputs": [
+      { "type": "int64" }
+    ]
+  },
+  {
+    "name": "prim::min.int_float",
+    "inputs": [
+      { "name": "a", "type": "int64" },
+      { "name": "b", "type": "float32" }
+    ],
+    "outputs": [
+      { "type": "float32" }
+    ]
+  },
+  {
+    "name": "prim::min.int_list",
+    "inputs": [
+      { "name": "l", "type": "int64[]" },
+      { "name": "r", "type": "int64[]" }
+    ],
+    "outputs": [
+      { "type": "int64[]" }
+    ]
+  },
+  {
+    "name": "prim::min.self_bool",
+    "inputs": [
+      { "name": "self", "type": "boolean[]" }
+    ],
+    "outputs": [
+      { "type": "boolean" }
+    ]
+  },
+  {
+    "name": "prim::min.self_float",
+    "inputs": [
+      { "name": "self", "type": "float32[]" }
+    ],
+    "outputs": [
+      { "type": "float32" }
+    ]
+  },
+  {
+    "name": "prim::min.self_int",
+    "inputs": [
+      { "name": "self", "type": "int64[]" }
+    ],
+    "outputs": [
+      { "type": "int64" }
+    ]
+  },
   {
     "name": "prim::name",
     "inputs": [
       { "name": "a", "type": "Tensor" }
     ],
     "outputs": [
-      { "type": "string", "optional": true }
+      { "type": "string?" }
     ]
   },
   {
@@ -16053,6 +17382,15 @@
       { "type": "boolean" }
     ]
   },
+  {
+    "name": "prim::shape",
+    "inputs": [
+      { "name": "self", "type": "Tensor" }
+    ],
+    "outputs": [
+      { "type": "int64[]" }
+    ]
+  },
   {
     "name": "prim::type",
     "inputs": [
@@ -16074,7 +17412,7 @@
   {
     "name": "prim::unchecked_unwrap_optional",
     "inputs": [
-      { "name": "optional", "type": "t", "optional": true }
+      { "name": "optional", "type": "t?" }
     ],
     "outputs": [
       { "type": "t" }
@@ -16298,8 +17636,8 @@
     "name": "quantized::batch_norm",
     "inputs": [
       { "name": "qx", "type": "Tensor" },
-      { "name": "weight", "type": "Tensor", "optional": true },
-      { "name": "bias", "type": "Tensor", "optional": true },
+      { "name": "weight", "type": "Tensor?" },
+      { "name": "bias", "type": "Tensor?" },
       { "name": "mean", "type": "Tensor" },
       { "name": "var", "type": "Tensor" },
       { "name": "eps", "type": "float32" },
@@ -16315,8 +17653,8 @@
     "category": "Normalization",
     "inputs": [
       { "name": "qx", "type": "Tensor" },
-      { "name": "weight", "type": "Tensor", "optional": true },
-      { "name": "bias", "type": "Tensor", "optional": true },
+      { "name": "weight", "type": "Tensor?" },
+      { "name": "bias", "type": "Tensor?" },
       { "name": "mean", "type": "Tensor" },
       { "name": "var", "type": "Tensor" },
       { "name": "eps", "type": "float32" },
@@ -16332,8 +17670,8 @@
     "category": "Normalization",
     "inputs": [
       { "name": "qx", "type": "Tensor" },
-      { "name": "weight", "type": "Tensor", "optional": true },
-      { "name": "bias", "type": "Tensor", "optional": true },
+      { "name": "weight", "type": "Tensor?" },
+      { "name": "bias", "type": "Tensor?" },
       { "name": "mean", "type": "Tensor" },
       { "name": "var", "type": "Tensor" },
       { "name": "eps", "type": "float32" },
@@ -16349,8 +17687,8 @@
     "category": "Normalization",
     "inputs": [
       { "name": "qx", "type": "Tensor" },
-      { "name": "weight", "type": "Tensor", "optional": true },
-      { "name": "bias", "type": "Tensor", "optional": true },
+      { "name": "weight", "type": "Tensor?" },
+      { "name": "bias", "type": "Tensor?" },
       { "name": "mean", "type": "Tensor" },
       { "name": "var", "type": "Tensor" },
       { "name": "eps", "type": "float32" },
@@ -16366,8 +17704,8 @@
     "category": "Normalization",
     "inputs": [
       { "name": "qx", "type": "Tensor" },
-      { "name": "weight", "type": "Tensor", "optional": true },
-      { "name": "bias", "type": "Tensor", "optional": true },
+      { "name": "weight", "type": "Tensor?" },
+      { "name": "bias", "type": "Tensor?" },
       { "name": "mean", "type": "Tensor" },
       { "name": "var", "type": "Tensor" },
       { "name": "eps", "type": "float32" },
@@ -16383,8 +17721,8 @@
     "category": "Normalization",
     "inputs": [
       { "name": "qx", "type": "Tensor" },
-      { "name": "weight", "type": "Tensor", "optional": true },
-      { "name": "bias", "type": "Tensor", "optional": true },
+      { "name": "weight", "type": "Tensor?" },
+      { "name": "bias", "type": "Tensor?" },
       { "name": "mean", "type": "Tensor" },
       { "name": "var", "type": "Tensor" },
       { "name": "eps", "type": "float32" },
@@ -16400,8 +17738,8 @@
     "category": "Normalization",
     "inputs": [
       { "name": "qx", "type": "Tensor" },
-      { "name": "weight", "type": "Tensor", "optional": true },
-      { "name": "bias", "type": "Tensor", "optional": true },
+      { "name": "weight", "type": "Tensor?" },
+      { "name": "bias", "type": "Tensor?" },
       { "name": "mean", "type": "Tensor" },
       { "name": "var", "type": "Tensor" },
       { "name": "eps", "type": "float32" },
@@ -16417,8 +17755,8 @@
     "category": "Normalization",
     "inputs": [
       { "name": "qx", "type": "Tensor" },
-      { "name": "weight", "type": "Tensor", "optional": true },
-      { "name": "bias", "type": "Tensor", "optional": true },
+      { "name": "weight", "type": "Tensor?" },
+      { "name": "bias", "type": "Tensor?" },
       { "name": "mean", "type": "Tensor" },
       { "name": "var", "type": "Tensor" },
       { "name": "eps", "type": "float32" },
@@ -16435,8 +17773,8 @@
     "inputs": [
       { "name": "qx", "type": "Tensor[]" },
       { "name": "dim", "type": "int64" },
-      { "name": "scale", "type": "float32", "optional": true },
-      { "name": "zero_point", "type": "int64", "optional": true }
+      { "name": "scale", "type": "float32?" },
+      { "name": "zero_point", "type": "int64?" }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -16448,8 +17786,8 @@
     "inputs": [
       { "name": "qx", "type": "Tensor[]" },
       { "name": "dim", "type": "int64" },
-      { "name": "scale", "type": "float32", "optional": true },
-      { "name": "zero_point", "type": "int64", "optional": true }
+      { "name": "scale", "type": "float32?" },
+      { "name": "zero_point", "type": "int64?" }
     ],
     "outputs": [
       { "type": "Tensor" }
@@ -16485,7 +17823,7 @@
     "name": "quantized::conv1d_prepack",
     "inputs": [
       { "name": "weight", "type": "Tensor" },
-      { "name": "bias", "type": "Tensor", "optional": true },
+      { "name": "bias", "type": "Tensor?" },
       { "name": "stride", "type": "int64[]" },
       { "name": "padding", "type": "int64[]" },
       { "name": "dilation", "type": "int64[]" },
@@ -16589,7 +17927,7 @@
     "name": "quantized::conv2d_prepack",
     "inputs": [
       { "name": "weight", "type": "Tensor" },
-      { "name": "bias", "type": "Tensor", "optional": true },
+      { "name": "bias", "type": "Tensor?" },
       { "name": "stride", "type": "int64[]" },
       { "name": "padding", "type": "int64[]" },
       { "name": "dilation", "type": "int64[]" },
@@ -16654,7 +17992,7 @@
     ],
     "outputs": [
       { "name": "unpacked_weights", "type": "Tensor" },
-      { "name": "B_origin", "type": "Tensor", "optional": true }
+      { "name": "B_origin", "type": "Tensor?" }
     ]
   },
   {
@@ -16700,7 +18038,7 @@
     "name": "quantized::conv3d_prepack",
     "inputs": [
       { "name": "weight", "type": "Tensor" },
-      { "name": "bias", "type": "Tensor", "optional": true },
+      { "name": "bias", "type": "Tensor?" },
       { "name": "stride", "type": "int64[]" },
       { "name": "padding", "type": "int64[]" },
       { "name": "dilation", "type": "int64[]" },
@@ -16744,7 +18082,7 @@
     "name": "quantized::conv_prepack",
     "inputs": [
       { "name": "weight", "type": "Tensor" },
-      { "name": "bias", "type": "Tensor", "optional": true },
+      { "name": "bias", "type": "Tensor?" },
       { "name": "stride", "type": "int64[]" },
       { "name": "padding", "type": "int64[]" },
       { "name": "dilation", "type": "int64[]" },
@@ -16758,7 +18096,7 @@
     "name": "quantized::conv_transpose1d_prepack",
     "inputs": [
       { "name": "weight", "type": "Tensor" },
-      { "name": "bias", "type": "Tensor", "optional": true },
+      { "name": "bias", "type": "Tensor?" },
       { "name": "stride", "type": "int64[]" },
       { "name": "padding", "type": "int64[]" },
       { "name": "output_padding", "type": "int64[]" },
@@ -16832,7 +18170,7 @@
     "name": "quantized::conv_transpose2d_prepack",
     "inputs": [
       { "name": "weight", "type": "Tensor" },
-      { "name": "bias", "type": "Tensor", "optional": true },
+      { "name": "bias", "type": "Tensor?" },
       { "name": "stride", "type": "int64[]" },
       { "name": "padding", "type": "int64[]" },
       { "name": "output_padding", "type": "int64[]" },
@@ -16868,7 +18206,7 @@
     ],
     "outputs": [
       { "name": "unpacked_weights", "type": "Tensor" },
-      { "name": "B_origin", "type": "Tensor", "optional": true }
+      { "name": "B_origin", "type": "Tensor?" }
     ]
   },
   {
@@ -16876,12 +18214,12 @@
     "inputs": [
       { "name": "weight", "type": "Tensor" },
       { "name": "indices", "type": "Tensor" },
-      { "name": "offsets", "type": "Tensor", "optional": true, "default": null },
+      { "name": "offsets", "type": "Tensor?", "default": null },
       { "name": "scale_grad_by_freq", "type": "boolean", "default": false },
       { "name": "mode", "type": "int64", "default": 0 },
       { "name": "pruned_weights", "type": "boolean", "default": false },
-      { "name": "per_sample_weights", "type": "Tensor", "optional": true, "default": null },
-      { "name": "compressed_indices_mapping", "type": "Tensor", "optional": true, "default": null },
+      { "name": "per_sample_weights", "type": "Tensor?", "default": null },
+      { "name": "compressed_indices_mapping", "type": "Tensor?", "default": null },
       { "name": "include_last_offset", "type": "boolean", "default": false }
     ],
     "outputs": [
@@ -16893,12 +18231,12 @@
     "inputs": [
       { "name": "weight", "type": "Tensor" },
       { "name": "indices", "type": "Tensor" },
-      { "name": "offsets", "type": "Tensor", "optional": true, "default": null },
+      { "name": "offsets", "type": "Tensor?", "default": null },
       { "name": "scale_grad_by_freq", "type": "boolean", "default": false },
       { "name": "mode", "type": "int64", "default": 0 },
       { "name": "pruned_weights", "type": "boolean", "default": false },
-      { "name": "per_sample_weights", "type": "Tensor", "optional": true, "default": null },
-      { "name": "compressed_indices_mapping", "type": "Tensor", "optional": true, "default": null },
+      { "name": "per_sample_weights", "type": "Tensor?", "default": null },
+      { "name": "compressed_indices_mapping", "type": "Tensor?", "default": null },
       { "name": "include_last_offset", "type": "boolean", "default": false }
     ],
     "outputs": [
@@ -16932,8 +18270,8 @@
     "name": "quantized::instance_norm",
     "inputs": [
       { "name": "input", "type": "Tensor" },
-      { "name": "weight", "type": "Tensor", "optional": true },
-      { "name": "bias", "type": "Tensor", "optional": true },
+      { "name": "weight", "type": "Tensor?" },
+      { "name": "bias", "type": "Tensor?" },
       { "name": "eps", "type": "float32" },
       { "name": "output_scale", "type": "float32" },
       { "name": "output_zero_point", "type": "int64" }
@@ -16948,8 +18286,8 @@
     "inputs": [
       { "name": "input", "type": "Tensor" },
       { "name": "normalized_shape", "type": "int64[]" },
-      { "name": "weight", "type": "Tensor", "optional": true },
-      { "name": "bias", "type": "Tensor", "optional": true },
+      { "name": "weight", "type": "Tensor?" },
+      { "name": "bias", "type": "Tensor?" },
       { "name": "eps", "type": "float32" },
       { "name": "output_scale", "type": "float32" },
       { "name": "output_zero_point", "type": "int64" }
@@ -17001,7 +18339,7 @@
     "name": "quantized::linear_prepack_fp16",
     "inputs": [
       { "name": "W", "type": "Tensor" },
-      { "name": "B", "type": "Tensor", "optional": true, "default": null }
+      { "name": "B", "type": "Tensor?", "default": null }
     ],
     "outputs": [
       { "name": "W_prepack", "type": "__torch__.torch.classes.quantized.LinearPackedParamsBase" }
@@ -17011,7 +18349,7 @@
     "name": "quantized::linear_prepack_fp16_legacy",
     "inputs": [
       { "name": "W", "type": "Tensor" },
-      { "name": "B", "type": "Tensor", "optional": true, "default": null }
+      { "name": "B", "type": "Tensor?", "default": null }
     ],
     "outputs": [
       { "name": "W_prepack", "type": "Tensor" }
diff --git a/source/pytorch.js b/source/pytorch.js
index f6db6b9d1d..1bd8830953 100644
--- a/source/pytorch.js
+++ b/source/pytorch.js
@@ -122,6 +122,8 @@ pytorch.Graph = class {
                                     initializers.set(obj, obj);
                                 }
                                 queue.push(obj);
+                            } else if (pytorch.Utility.isInstance(obj, 'torch.Value') || pytorch.Utility.isInstance(obj, 'torch.Node')) {
+                                continue;
                             } else if (obj && obj.__class__) {
                                 obj.__parent__ = module;
                                 obj.__name__ = obj.__name__ || key;
@@ -145,18 +147,29 @@ pytorch.Graph = class {
                     node === graph.return_node()) {
                     continue;
                 }
-                if (node.kind() === 'prim::ListConstruct' &&
-                    node.outputs().length === 1 &&
-                    node.outputs().every((output) => output.uses().length === 1) &&
-                    node.inputs().every((input) => pytorch.Utility.isTensor(input.value))) {
-                    continue;
-                }
-                if (node.kind() === 'prim::ListConstruct' &&
+                if (node.kind() === 'prim::TupleConstruct' &&
                     node.inputs().length === 0 &&
                     node.outputs().length === 1 &&
                     node.outputs().every((output) => output.uses().length === 0)) {
                     continue;
                 }
+                if (node.kind() === 'prim::ListConstruct') {
+                    if (node.outputs().length === 1 &&
+                        node.outputs().every((output) => output.uses().length === 1) &&
+                        node.inputs().every((input) => pytorch.Utility.isTensor(input.value))) {
+                        continue;
+                    }
+                    if (node.inputs().length === 0 &&
+                        node.outputs().length === 1 &&
+                        node.outputs().every((output) => output.uses().length === 0)) {
+                        continue;
+                    }
+                    if (node.inputs().every((value) => value && (pytorch.Utility.isInstance(value.type(), 'torch.IntType') || pytorch.Utility.isInstance(value.type(), 'torch.FloatType') || pytorch.Utility.isInstance(value.type(), 'torch.StringType') || pytorch.Utility.isInstance(value.type(), 'torch.ComplexType'))) &&
+                        node.outputs().length === 1 &&
+                        node.outputs().every((output) => output.uses().length === 1)) {
+                        continue;
+                    }
+                }
                 if (node.kind() === 'prim::ListUnpack' &&
                     node.inputs().length === 1 &&
                     node.inputs().every((input) => input.uses().length === 1) &&
@@ -450,6 +463,30 @@ pytorch.Node = class {
                         const value = values.map(identifier);
                         argument = new pytorch.Argument(name, [value]);
                     }
+                } else if (pytorch.Utility.isInstance(input, 'torch.Value') && !pytorch.Utility.isTensor(input.value)) {
+                    if (input.node() === null && input.value !== undefined) {
+                        argument = new pytorch.Argument(name, input.value, 'attribute');
+                    } else if (pytorch.Utility.isInstance(input.type(), 'torch.ListType')) {
+                        if (input.node() && input.node().kind() === 'prim::ListConstruct' && input.uses().length === 1 &&
+                            input.node().inputs().every((value) => pytorch.Utility.isInstance(value.type(), 'torch.IntType') || pytorch.Utility.isInstance(value.type(), 'torch.FloatType') || pytorch.Utility.isInstance(value.type(), 'torch.StringType') || pytorch.Utility.isInstance(value.type(), 'torch.ComplexType') || pytorch.Utility.isInstance(value.type(), 'torch.TensorType'))) {
+                            const list = input.node().inputs();
+                            const args = list.map((value) => {
+                                if (value.uses().length === 1 && value.node() === input.node() && value.value !== undefined) {
+                                    return value.value;
+                                }
+                                const identifier = value.unique().toString();
+                                return values.map(identifier);
+                            });
+                            argument = new pytorch.Argument(name, args, pytorch.Utility.toType(input.type()));
+                        } else {
+                            const identifier = input.unique().toString();
+                            argument = new pytorch.Argument(name, [values.map(identifier)]);
+                        }
+                    } else {
+                        const identifier = input.unique().toString();
+                        const value = values.map(identifier);
+                        argument = new pytorch.Argument(name, [value]);
+                    }
                 } else if (pytorch.Utility.isTensor(input.value) || input.value === undefined || input.value === null) {
                     let list = [input];
                     if (input.node() &&
@@ -473,10 +510,6 @@ pytorch.Node = class {
                         return values.map(identifier);
                     });
                     argument = new pytorch.Argument(name, args);
-                } else if (pytorch.Utility.isInstance(input, 'torch.Value')) {
-                    const identifier = input.unique().toString();
-                    const value = values.map(identifier);
-                    argument = new pytorch.Argument(name, [value]);
                 } else if (Array.isArray(input.value) && input.value.some((value) => pytorch.Utility.isInstance(value, 'torch.Value'))) {
                     const args = input.value.map((value) => {
                         if (pytorch.Utility.isInstance(value, 'torch.Value')) {
@@ -1154,6 +1187,7 @@ pytorch.Container.Zip = class extends pytorch.Container {
         let torchscript = reader.has_record('constants.pkl');
         const version = reader.version();
         if (torchscript) {
+            execution.trace = false;
             const module = torch.jit.load(reader);
             execution.trace = true;
             if (module.data && module.data.forward) {
@@ -1222,6 +1256,7 @@ pytorch.Container.ModelJson = class extends pytorch.Container {
             this.producer = this._model.producerName + (this._model.producerVersion ? ` v${this._model.producerVersion}` : '');
         }
         this.format = reader.has_record('attributes.pkl') ? 'TorchScript v1.1' : 'TorchScript v1.0';
+        execution.false = true;
         const module = torch.jit.load(reader);
         execution.trace = true;
         if (module.data && module.data.forward) {
@@ -1826,6 +1861,100 @@ pytorch.Execution = class extends python.Execution {
         torch._C.ClassType = torch.ClassType;
     }
 
+    toType(type, types) {
+        const torch = this.torch;
+        switch (type) {
+            case undefined: return null;
+            case 'boolean': return new torch.BoolType();
+            case 'boolean[3]':
+            case 'boolean[]': return new torch.ListType(new torch.BoolType());
+            case 'boolean?': return new torch.OptionalType(new torch.BoolType());
+            case 'int64': return new torch.IntType();
+            case 'int64[1]': case 'int64[2]': case 'int64[3]':
+            case 'int64[]': return new torch.ListType(new torch.IntType());
+            case 'int64?': return new torch.OptionalType(new torch.IntType());
+            case 'int64[1]?': case 'int64[2]?':
+            case 'int64[]?': return new torch.OptionalType(new torch.ListType(new torch.IntType()));
+            case 'SymInt': return new torch.SymIntType();
+            case 'SymInt[1]': case 'SymInt[2]': case 'SymInt[3]':
+            case 'SymInt[4]': case 'SymInt[5]': case 'SymInt[6]':
+            case 'SymInt[]': return new torch.ListType(new torch.SymIntType());
+            case 'SymInt?': return new torch.OptionalType(new torch.SymIntType());
+            case 'SymInt[1]?':
+            case 'SymInt[]?': return new torch.OptionalType(new torch.ListType(new torch.SymIntType()));
+            case 'float32': return new torch.FloatType();
+            case 'float32[]': return new torch.ListType(new torch.FloatType());
+            case 'float32?': return new torch.OptionalType(new torch.FloatType());
+            case 'float32[]?': return new torch.OptionalType(new torch.ListType(new torch.FloatType()));
+            case 'string': return new torch.StringType();
+            case 'string[]': return new torch.ListType(new torch.StringType());
+            case 'string[][]': return new torch.ListType(new torch.ListType(new torch.StringType()));
+            case 'string?': return new torch.OptionalType(new torch.StringType());
+            case 'complex': return new torch.ComplexType();
+            case 'complex[]': return new torch.ListType(new torch.ComplexType());
+            case 'Tensor': return new torch.TensorType();
+            case 'Tensor[]': return new torch.ListType(new torch.TensorType());
+            case 'Tensor?': return new torch.OptionalType(new torch.TensorType());
+            case 'Tensor?[]': return new torch.ListType(new torch.OptionalType(new torch.TensorType()));
+            case 'Scalar': return new torch.NumberType();
+            case 'Scalar?': return new torch.OptionalType(new torch.NumberType());
+            case 'ScalarType': return new torch.Type('ScalarType');
+            case 'ScalarType?': return new torch.OptionalType(new torch.Type('ScalarType'));
+            case 'Layout': return new torch.Type('Layout');
+            case 'Layout?': return new torch.OptionalType(new torch.Type('Layout'));
+            case 'Device': return new torch.DeviceObjType();
+            case 'Device?': return new torch.OptionalType(new torch.DeviceObjType());
+            case 'MemoryFormat': return new torch.Type('MemoryFormat');
+            case 'MemoryFormat?': return new torch.OptionalType(new torch.Type('MemoryFormat'));
+            case 'Dimname': return new torch.StringType();
+            case 'Dimname[1]':
+            case 'Dimname[]': return new torch.ListType(new torch.StringType());
+            case 'Dimname[]?': return new torch.OptionalType(new torch.ListType(new torch.StringType()));
+            case 'Generator': return new torch._C._GeneratorType();
+            case 'Generator?': return new torch.OptionalType(new torch._C._GeneratorType());
+            case 'Any': return new torch.AnyType();
+            case 'Any[]': return new torch.ListType(new torch.AnyType());
+            case 'AnyEnumType': return new torch.Type();
+            case 't[]': return new torch.ListType(new torch.Type('VarType'));
+            case 't?': return new torch.OptionalType(new torch.Type('VarType'));
+            case 't': case 't1': case 't2': case 'tVal': {
+                if (types && types.has(type)) {
+                    return types.get(type);
+                }
+                return new torch.Type('VarType');
+            }
+            case 'Future(t)': return new torch.FutureType(new torch.Type('VarType'));
+            case 'AnyClassType': return null;
+            case 'AnyClassType?': return new torch.OptionalType(null);
+            case 'Dict(string, tVal)':
+            case 'Dict(string, t)': return new torch.DictType(new torch.StringType(), new torch.Type());
+            case 'Dict(string, Tensor)': return new torch.DictType(new torch.StringType(), new torch.TensorType());
+            case 'Dict(int64, tVal)':
+            case 'Dict(int64, t)': return new torch.DictType(new torch.IntType(), new torch.Type());
+            case 'Dict(float32, tVal)':
+            case 'Dict(float32, t)': return new torch.DictType(new torch.FloatType(), new torch.Type());
+            case 'Dict(boolean, tVal)':
+            case 'Dict(boolean, t)': return new torch.DictType(new torch.BoolType(), new torch.Type());
+            case 'Dict(complex, tVal)':
+            case 'Dict(complex, t)': return new torch.DictType(new torch.ComplexType(), new torch.Type());
+            case 'Dict(Tensor, t)':
+            case 'Dict(Tensor, tVal)': return new torch.DictType(new torch.TensorType(), new torch.Type());
+            case '(boolean, tVal)[]': return new torch.ListType(new torch.TupleType([new torch.BoolType(), new torch.Type()]));
+            case '(float32, tVal)[]': return new torch.ListType(new torch.TupleType([new torch.FloatType(), new torch.Type()]));
+            case '(int64, tVal)[]': return new torch.ListType(new torch.TupleType([new torch.IntType(), new torch.Type()]));
+            case '(string, tVal)[]': return new torch.ListType(new torch.TupleType([new torch.StringType(), new torch.Type()]));
+            case '(complex, tVal)[]': return new torch.ListType(new torch.TupleType([new torch.ComplexType(), new torch.Type()]));
+            case '(Tensor, tVal)[]': return new torch.ListType(new torch.TupleType([new torch.TensorType(), new torch.Type()]));
+            default: {
+                if (type.startsWith('__torch__.')) {
+                    return new torch.ClassType(type);
+                }
+                break;
+            }
+        }
+        throw new pytorch.Error(`Unsupported argument type '${type}'.`);
+    }
+
     registerMetadata(metadata) {
         const torch = this.torch;
         const registry = torch._C._get_registry();
@@ -1833,67 +1962,8 @@ pytorch.Execution = class extends python.Execution {
         for (const [name, type] of metadata._types) {
             if (name.indexOf('::') !== -1) {
                 const [name, overload_name] = type.name.split('.');
-                const real_type = (arg) => {
-                    if (!arg.type) {
-                        return null;
-                    }
-                    let type = null;
-                    switch (arg.type) {
-                        case 'boolean': type = new torch.BoolType(); break;
-                        case 'boolean[3]':
-                        case 'boolean[]': type = new torch.ListType(new torch.BoolType()); break;
-                        case 'int64': type = new torch.IntType(); break;
-                        case 'int64[1]': case 'int64[2]': case 'int64[3]':
-                        case 'int64[]': type = new torch.ListType(new torch.IntType()); break;
-                        case 'SymInt': type = new torch.SymIntType(); break;
-                        case 'SymInt[1]': case 'SymInt[2]': case 'SymInt[3]':
-                        case 'SymInt[4]': case 'SymInt[5]': case 'SymInt[6]':
-                        case 'SymInt[]': type = new torch.ListType(new torch.SymIntType()); break;
-                        case 'float32': type = new torch.FloatType(); break;
-                        case 'float32[]': type = new torch.ListType(new torch.FloatType()); break;
-                        case 'string': type = new torch.StringType(); break;
-                        case 'string[]': type = new torch.ListType(new torch.StringType()); break;
-                        case 'string[][]': type = new torch.ListType(new torch.ListType(new torch.StringType())); break;
-                        case 'complex': type = new torch.ComplexType(); break;
-                        case 'complex[]': type = new torch.ListType(new torch.ComplexType()); break;
-                        case 'Tensor': type = new torch.TensorType(); break;
-                        case 'Tensor[]': type = new torch.ListType(new torch.TensorType()); break;
-                        case 'Scalar': type = new torch.NumberType(); break;
-                        case 'ScalarType': type = new torch.Type('ScalarType'); break;
-                        case 'Layout': type = new torch.Type('Layout'); break;
-                        case 'Device': type = new torch.DeviceObjType(); break;
-                        case 'MemoryFormat': type = new torch.Type('MemoryFormat'); break;
-                        case 'Dimname': type = new torch.StringType(); break;
-                        case 'Dimname[1]':
-                        case 'Dimname[]': type = new torch.ListType(new torch.StringType()); break;
-                        case 'Generator': type = new torch._C._GeneratorType(); break;
-                        case 'Any': type = new torch.AnyType(); break;
-                        case 'Any[]': type = new torch.ListType(new torch.AnyType()); break;
-                        case 'AnyEnumType': type = new torch.Type(); break;
-                        case 't[]': type = new torch.ListType(new torch.Type()); break;
-                        case 't': case 't1': case 't2': type = new torch.Type(); break;
-                        case 'Future(t)': type = new torch.FutureType(new torch.Type()); break;
-                        case 'AnyClassType': type = null; break;
-                        case 'Dict[string,t]': type = new torch.DictType(new torch.StringType(), new torch.Type()); break;
-                        case 'Dict[int64,t]': type = new torch.DictType(new torch.IntType(), new torch.Type()); break;
-                        case 'Dict[float32,t]': type = new torch.DictType(new torch.FloatType(), new torch.Type()); break;
-                        case 'Dict[boolean,t]': type = new torch.DictType(new torch.BoolType(), new torch.Type()); break;
-                        case 'Dict[Tensor,t]': type = new torch.DictType(new torch.TensorType(), new torch.Type()); break;
-                        default: {
-                            if (arg.type.startsWith('__torch__.')) {
-                                type = new torch.ClassType(arg.type);
-                            } else {
-                                throw new pytorch.Error(`Unsupported argument type '${arg.type}'.`);
-                            }
-                        }
-                    }
-                    if (arg.optional) {
-                        type = new torch.OptionalType(type);
-                    }
-                    return type;
-                };
-                const args = type.inputs.map((arg) => new torch.Argument(arg.name, null, real_type(arg), null, arg.default, arg.kwarg_only || false, arg.alias_info));
-                const returns = type.outputs.map((arg) => new torch.Argument(arg.name, null, real_type(arg), null, arg.default, arg.kwarg_only || false, arg.alias_info));
+                const args = type.inputs.map((arg) => new torch.Argument(arg.name, null, this.toType(arg.type), null, arg.default, arg.kwarg_only || false, arg.alias_info));
+                const returns = type.outputs.map((arg) => new torch.Argument(arg.name, null, this.toType(arg.type), null, arg.default, arg.kwarg_only || false, arg.alias_info));
                 const schema = new torch.FunctionSchema(name, overload_name || '', args, returns, type.is_vararg || false, type.is_varret || false);
                 const op = new torch._C.Operator(schema);
                 registry.registerOperator(op);
@@ -2189,6 +2259,7 @@ pytorch.jit.Execution = class extends pytorch.Execution {
         }
         if (pytorch.Utility.isTensor(obj)) {
             value.value = obj;
+            value.setType(new torch.TensorType());
             if (typeof obj !== 'string' && typeof obj !== 'number') {
                 this._values.set(obj, value);
             }
@@ -2261,6 +2332,294 @@ pytorch.jit.Execution = class extends pytorch.Execution {
         return super.target(expression, context);
     }
 
+    expression(expression, context) {
+        if (!this.trace) {
+            return super.expression(expression, context);
+        }
+        const torch = this.torch;
+        switch (expression.type) {
+            case '=': {
+                const target = expression.target;
+                if (target.type === 'id') {
+                    let value = this.expression(expression.expression, context);
+                    if (typeof value === 'string') {
+                        const node = this._graph.create('prim::Constant');
+                        const input = new torch.Value(node);
+                        input.value = value;
+                        node.addInput(input);
+                        value = node.addOutput();
+                        value.setType(new torch.StringType());
+                    }
+                    context.set(target.value, value);
+                    return undefined;
+                } else if (target.type === 'tuple') {
+                    context.target.push(target.value);
+                    const value = this.expression(expression.expression, context);
+                    context.target.pop();
+                    if (target.value.every((item) => item.type === 'id')) {
+                        if (value instanceof torch.Value) {
+                            const node = this._graph.create('prim::TupleUnpack');
+                            node.addInput(value);
+                            const outputs = [];
+                            for (let i = 0; i < target.value.length; i++) {
+                                const item = target.value[i];
+                                const output = node.addOutput();
+                                const type = value.type();
+                                if (type instanceof torch.ListType) {
+                                    output.setType(value.type().getElementType());
+                                } else if (type instanceof torch.TupleType) {
+                                    output.setType(type.elements()[i]);
+                                } else {
+                                    throw new pytorch.Error(`Unsupported tuple unpack type '${type.kind()}'.`);
+                                }
+                                output.setDebugName(item.value);
+                                context.set(item.value, output);
+                                outputs.push(output);
+                            }
+                            return outputs;
+                        }
+                        if (target.value.length < value.length) {
+                            throw new python.Error(`ValueError: too many values to unpack (expected ${target.value.length}, actual ${value.length}).`);
+                        }
+                        if (target.value.length > value.length) {
+                            throw new python.Error(`ValueError: not enough values to unpack (expected ${target.value.length}, actual ${value.length}).`);
+                        }
+                        for (let i = 0; i < value.length; i++) {
+                            context.set(target.value[i].value, value[i]);
+                        }
+                        return undefined;
+                    }
+                }
+                break;
+            }
+            case 'call': {
+                if (expression.target.type === 'id' && expression.target.value === 'annotate') {
+                    let value = this.expression(expression.args[1], context);
+                    const type = this.type(expression.args[0]);
+                    if (value instanceof torch.Tensor) {
+                        let name = null;
+                        if (type instanceof torch.IntType) {
+                            name = 'aten::IntImplicit';
+                        } else if (type instanceof torch.FloatType) {
+                            name = 'aten::FloatImplicit';
+                        } else if (type instanceof torch.StringType) {
+                            name = 'aten::StringImplicit';
+                        } else if (type instanceof torch.ComplexType) {
+                            name = 'aten::ComplexImplicit';
+                        } else if (type instanceof torch.NumberType) {
+                            name = 'aten::ScalarImplicit';
+                        } else {
+                            throw new pytorch.Error(`Unsupported annotation type '${type.kind()}'.`);
+                        }
+                        const node = this._graph.create(name);
+                        node.addInput(this.variable(value, node));
+                        value = node.addOutput();
+                    }
+                    if (value instanceof torch.Value) {
+                        value.setType(type);
+                    }
+                    return value;
+                }
+                if (expression.target.type === 'id' && expression.target.value === 'unchecked_cast') {
+                    let value = this.expression(expression.args[1], context);
+                    const type = this.type(expression.args[0]);
+                    const node = this._graph.create('prim::unchecked_cast');
+                    node.addInput(this.variable(value));
+                    value = node.addOutput();
+                    value.setType(type);
+                    return value;
+                }
+                if (expression.target.type === 'id' && expression.target.value === 'isinstance') {
+                    let value = this.expression(expression.args[1], context);
+                    // const type = this.type(expression.args[0]);
+                    const node = this._graph.create('prim::isinstance');
+                    node.addInput(this.variable(value));
+                    value = node.addOutput();
+                    value.setType(new torch.BoolType());
+                    return value;
+                }
+                return super.expression(expression, context);
+            }
+            case '[]': {
+                if (expression.arguments.type === 'list' && expression.arguments.value.length === 1) {
+                    const target = this.expression(expression.target, context);
+                    if (target instanceof torch.Value && target.type() instanceof torch.ListType) {
+                        let index = this.expression(expression.arguments.value[0], context);
+                        const node = this._graph.create('aten::__getitem__.t');
+                        node.addInput(target);
+                        if (Number.isInteger(index)) {
+                            const value = this.invoke('torch.Value', [node]);
+                            value.value = index;
+                            index = value;
+                        }
+                        node.addInput(index);
+                        const value = node.addOutput();
+                        value.setType(target.type().getElementType());
+                        return value;
+                    }
+                    if (target instanceof torch.Value && target.type() instanceof torch.DictType) {
+                        let key = this.expression(expression.arguments.value[0], context);
+                        const node = this._graph.create('aten::__getitem__.t');
+                        node.addInput(target);
+                        if (target.type().getKeyType() instanceof torch.StringType && typeof key === 'string') {
+                            const value = this.invoke('torch.Value', [node]);
+                            value.value = key;
+                            key = value;
+                        } else {
+                            throw new pytorch.Error(`Unsupported dictionary key type.`);
+                        }
+                        node.addInput(key);
+                        const value = node.addOutput();
+                        value.setType(target.type().getValueType());
+                        return value;
+                    }
+                    if (target instanceof torch.Value && target.type() instanceof torch.TupleType) {
+                        let index = this.expression(expression.arguments.value[0], context);
+                        const node = this._graph.create('prim::TupleIndex');
+                        const value = node.addOutput();
+                        value.setType(target.type().elements()[index]);
+                        node.addInput(target);
+                        if (Number.isInteger(index)) {
+                            const value = this.invoke('torch.Value', [node]);
+                            value.value = index;
+                            index = value;
+                        }
+                        node.addInput(index);
+                        return value;
+                    }
+                }
+                break;
+            }
+            case '.': {
+                if (expression.member.type === 'id') {
+                    const target = this.target(expression.target, context);
+                    if (typeof expression.member.value === 'string' && target instanceof torch.Value && target.type() instanceof torch.ClassType) {
+                        const attribute = target.type().findAttribute(expression.member.value);
+                        const node = this.graph.create('prim::GetAttr');
+                        const name = new torch.Value(node);
+                        name.setType(new torch.StringType());
+                        name.value = expression.member.value;
+                        node.addInput(target);
+                        node.addInput(name);
+                        const value = node.addOutput();
+                        value.setType(attribute);
+                        return value;
+                    }
+                    return target[expression.member.value];
+                }
+                throw new python.Error("Unsupported field expression.");
+            }
+            case 'list': {
+                const list = expression.value.map((item) => this.expression(item, context));
+                if (/* list.length > 0 && */ list.every((item) => pytorch.Utility.isInstance(item, 'torch.Value') || Number.isInteger(item) || typeof item === 'string' || item === null)) {
+                    const node = this._graph.create('prim::ListConstruct');
+                    const output = node.addOutput();
+                    for (const item of list) {
+                        if (item instanceof torch.Value) {
+                            node.addInput(item);
+                            output.setType(new torch.ListType(item.type()));
+                        } else if (Number.isInteger(item)) {
+                            const value = new torch.Value(node);
+                            value.value = item;
+                            value.setType(new torch.IntType());
+                            node.addInput(value);
+                            output.setType(new torch.ListType(new torch.IntType()));
+                        } else if (typeof item === 'string') {
+                            const value = new torch.Value(node);
+                            value.value = item;
+                            value.setType(new torch.StringType());
+                            node.addInput(value);
+                            output.setType(new torch.ListType(new torch.StringType()));
+                        } else {
+                            const value = new torch.Value(node);
+                            value.value = item;
+                            node.addInput(value);
+                        }
+                    }
+                    return output;
+                }
+                break;
+            }
+            case 'tuple': {
+                const args = expression.value.map((expression) => this.expression(expression, context));
+                const node = this._graph.create('prim::TupleConstruct');
+                const types = [];
+                const elements = [];
+                for (const item of args) {
+                    if (item instanceof torch.Value) {
+                        node.addInput(item);
+                        types.push(item.type());
+                        elements.push(item);
+                    } else if (pytorch.Utility.isTensor(item)) {
+                        const value = this.variable(item, node);
+                        node.addInput(value);
+                        // value.value = item;
+                        // value.setType(new torch.TensorType());
+                        types.push(value.type());
+                        elements.push(item);
+                    } else if (Number.isInteger(item)) {
+                        const value = new torch.Value(node);
+                        value.value = item;
+                        types.push(new torch.IntType());
+                        elements.push(item);
+                    } else if (typeof item === 'boolean') {
+                        const value = new torch.Value(node);
+                        value.value = item;
+                        node.addInput(value);
+                        types.push(new torch.BoolType());
+                        elements.push(item);
+                    } else if (item === null) {
+                        const value = new torch.Value(node);
+                        value.value = item;
+                        node.addInput(value);
+                        types.push(new torch.NoneType());
+                        elements.push(item);
+                    } else {
+                        const value = new torch.Value(node);
+                        value.value = item;
+                        node.addInput(value);
+                        types.push(new torch.Type());
+                        elements.push(item);
+                    }
+                }
+                const value = node.addOutput();
+                value.value = elements;
+                value.setType(new torch.TupleType(types));
+                return value;
+            }
+            default: {
+                break;
+            }
+        }
+        return super.expression(expression, context);
+    }
+
+    statement(statement, context) {
+        if (!this.trace) {
+            return super.statement(statement, context);
+        }
+        const torch = this.torch;
+        switch (statement.type) {
+            case 'class': {
+                super.statement(statement, context);
+                const value = context.get(statement.name);
+                const type = new torch.ClassType(`${value.__module__}.${value.__name__}`);
+                for (const entry of statement.body.statements) {
+                    if (entry.type === 'var') {
+                        const variableType = this.type(entry.variableType);
+                        type.addAttribute(entry.name, variableType);
+                    }
+                }
+                value.__type__ = type;
+                return undefined;
+            }
+            default: {
+                break;
+            }
+        }
+        return super.statement(statement, context);
+    }
+
     type(expression) {
         const torch = this.torch;
         if (expression.type === '[]' && expression.target.type === 'id') {
@@ -2274,8 +2633,8 @@ pytorch.jit.Execution = class extends pytorch.Execution {
                     return new torch.OptionalType(elementType);
                 }
                 case 'Tuple': {
-                    const args = expression.arguments.value.map((expression) => this.type(expression));
-                    return new torch.TupleType(args);
+                    const elements = expression.arguments.value.map((expression) => this.type(expression));
+                    return new torch.TupleType(elements);
                 }
                 case 'Dict': {
                     const key = this.type(expression.arguments.value[0]);
@@ -2294,6 +2653,7 @@ pytorch.jit.Execution = class extends pytorch.Execution {
                 case 'str': return new torch.StringType();
                 case 'float': return new torch.FloatType();
                 case 'number': return new torch.NumberType();
+                case 'bool': return new torch.BoolType();
                 default: throw new pytorch.Error(`Unsupported type expression '${expression.value}'.`);
             }
         }
@@ -2301,381 +2661,616 @@ pytorch.jit.Execution = class extends pytorch.Execution {
     }
 
     call(target, name, args, context) {
-        if (this.trace) {
-            const overload = this._overload(target, name, args, context);
-            if (overload) {
-                const [schema, args, evalArgs] = overload;
-                const copyArgs = Array.prototype.slice.call(args);
-                const copyEvalArgs = Array.prototype.slice.call(evalArgs);
-                const node = this._graph.create(schema.name);
-                node.schema = schema;
-                const referencedParameters = [];
-                const parameters = Array.prototype.slice.call(schema.inputs || []).concat(Array.prototype.slice.call(schema.attributes || []));
-                while (copyEvalArgs.length > 0) {
-                    if (parameters.length <= 0) {
-                        if (schema.name.startsWith('_caffe2::')) {
-                            break;
-                        }
+        if (!this.trace) {
+            return super.call(target, name, args, context);
+        }
+        if (name === '__new__') {
+            const identifier = pytorch.Utility.target(target);
+            if (identifier) {
+                const type = this.resolve(identifier);
+                if (type && type.__type__) {
+                    const node = this.graph.create('prim::CreateObject');
+                    const value = node.addOutput();
+                    value.setType(type.__type__);
+                    return value;
+                }
+            }
+        }
+        if (name === '__init__') {
+            const obj = this.expression(target, context);
+            if (args.length === 0) {
+                return obj;
+            }
+            const node = this.graph.create('prim::CallMethod');
+            node.addInput(obj);
+            const evalArgs = args.map((arg) => this.expression(arg, context));
+            for (const arg of evalArgs) {
+                this.variable(arg, node);
+            }
+            const value = node.addOutput();
+            value.setType(obj.type());
+            return value;
+        }
+        const overload = this._overload(target, name, args, context);
+        if (!overload) {
+            return super.call(target, name, args, context);
+        }
+        const torch = this.torch;
+        const [schema, evalArgs] = overload;
+        const copyArgs = Array.prototype.slice.call(args);
+        const copyEvalArgs = Array.prototype.slice.call(evalArgs);
+        const node = this._graph.create(schema.name);
+        node.schema = schema;
+        const referencedParameters = [];
+        const parameters = Array.prototype.slice.call(schema.inputs || []).concat(Array.prototype.slice.call(schema.attributes || []));
+        const types = new Map();
+        while (copyEvalArgs.length > 0) {
+            if (parameters.length <= 0) {
+                if (schema.is_vararg || schema.name.startsWith('_caffe2::')) {
+                    break;
+                }
+                throw new pytorch.Error('Invalid parameter length.');
+            }
+            if (copyArgs.every((arg) => arg.type === '=' && arg.target && arg.target.type === 'id') &&
+                parameters.every((parameter) => parameter.type !== 'Tensor' && parameter.type !== 'Tensor[]')) {
+                const map = new Map(parameters.map((parameter) => [parameter.name, parameter]));
+                while (copyArgs.length > 0) {
+                    const argument = copyArgs.shift();
+                    const arg = copyEvalArgs.shift();
+                    const parameter = map.get(argument.target.value);
+                    if (!parameter) {
                         throw new pytorch.Error();
                     }
-                    if (copyArgs.every((arg) => arg.type === '=' && arg.target && arg.target.type === 'id') &&
-                        parameters.every((parameter) => parameter.type !== 'Tensor' && parameter.type !== 'Tensor[]')) {
-                        const map = new Map(parameters.map((parameter) => [parameter.name, parameter]));
-                        while (copyArgs.length > 0) {
-                            const argument = copyArgs.shift();
-                            const arg = copyEvalArgs.shift();
-                            const parameter = map.get(argument.target.value);
-                            if (!parameter) {
-                                throw new pytorch.Error();
-                            }
-                            if (!this.isType(arg, parameter.type)) {
-                                if (parameter.optional) {
-                                    continue;
-                                }
-                                throw new pytorch.Error();
-                            }
-                            const value = this.variable(arg);
-                            value.value = arg;
-                            node.addInput(value);
+                    let type = parameter.type;
+                    let optional = false;
+                    if (parameter.type.endsWith('?')) {
+                        type = parameter.type.substring(0, parameter.type.length - 1);
+                        optional = true;
+                    }
+                    if (!this.isType(arg, type)) {
+                        if (optional) {
+                            continue;
                         }
-                        continue;
+                        throw new pytorch.Error();
                     }
-                    const parameter = parameters.shift();
-                    const [argument] = copyEvalArgs;
-                    if (parameter.type === 'Tensor' || (parameter.type === 'Scalar' && pytorch.Utility.isTensor(argument))) {
-                        if (Array.isArray(argument) || (!pytorch.Utility.isTensor(argument) && argument !== null && argument !== undefined)) {
-                            if (parameter.optional) {
-                                continue;
+                    const value = this.variable(arg);
+                    value.value = arg;
+                    node.addInput(value);
+                }
+                continue;
+            }
+            const parameter = parameters.shift();
+            const [argument] = copyEvalArgs;
+            let match = false;
+            let input = null;
+            let optional = false;
+            let type = parameter.type;
+            if (type.endsWith('?')) {
+                type = parameter.type.slice(0, -1);
+                optional = true;
+            }
+            if (optional === true &&
+                (type === 'float32' || type === 'boolean' || type === 'int64' || type === 'complex') &&
+                argument instanceof torch.Value && argument.type() instanceof torch.NoneType) {
+                copyArgs.shift();
+                copyEvalArgs.shift();
+                match = true;
+                input = argument;
+            } else if (type === 'Tensor[]') {
+                const [argument] = copyEvalArgs;
+                if ((argument instanceof torch.Value && pytorch.Utility.toType(argument.type()) === 'Tensor[]') ||
+                    (Array.isArray(argument) && argument.every((item) => pytorch.Utility.isTensor(item) || item === null || (item instanceof torch.Value && item.type() instanceof torch.TensorType)))) {
+                    copyArgs.shift();
+                    copyEvalArgs.shift();
+                    if (argument instanceof torch.Value) {
+                        match = true;
+                        input = argument;
+                    } else {
+                        const list = this._graph.create('prim::ListConstruct');
+                        for (const arg of argument) {
+                            const tensor = arg;
+                            if (tensor) {
+                                tensor.__count__ = (tensor.__count__ || 0) + 1;
                             }
-                            throw new pytorch.Error();
-                        } else {
-                            copyArgs.shift();
-                            copyEvalArgs.shift();
-                            const tensor = (argument === null || argument === undefined) ? {} : argument;
                             const value = this.variable(tensor);
-                            referencedParameters.push(tensor);
-                            node.addInput(value);
+                            value.setType(new torch.TensorType());
+                            list.addInput(value);
                         }
-                    } else if (parameter.type === 'Tensor[]') {
-                        const [argument] = copyEvalArgs;
-                        if (!Array.isArray(argument) || !argument.every((item) => pytorch.Utility.isTensor(item) || item === null)) {
-                            if (parameter.optional) {
-                                continue;
-                            }
-                            throw new pytorch.Error();
-                        } else {
-                            copyArgs.shift();
-                            copyEvalArgs.shift();
-
-                            const list = this._graph.create('prim::ListConstruct');
-                            for (const arg of argument) {
-                                const tensor = arg;
-                                if (tensor) {
-                                    tensor.__count__ = (tensor.__count__ || 0) + 1;
-                                }
-                                const value = this.variable(tensor);
-                                list.addInput(value);
-                            }
-
-                            const value = list.addOutput();
-                            node.addInput(value);
+                        const output = list.addOutput();
+                        output.setType(new torch.ListType(new torch.TensorType()));
+                        match = true;
+                        input = output;
+                    }
+                } else {
+                    if (optional) {
+                        continue;
+                    }
+                    throw new pytorch.Error();
+                }
+            } else {
+                const [arg] = copyArgs;
+                if (!this.isType(argument, type) && argument !== null) {
+                    if (optional) {
+                        continue;
+                    }
+                    throw new pytorch.Error('Invalid argument type.');
+                } else if (arg.type === '=') {
+                    throw new pytorch.Error('Expected named argument.');
+                } else {
+                    copyArgs.shift();
+                    copyEvalArgs.shift();
+                    if (pytorch.Utility.isInstance(argument, 'torch.Value')) {
+                        match = true;
+                        input = argument;
+                    } else {
+                        const value = this.variable(argument);
+                        if (value instanceof torch.Value) {
+                            // value.setType(this.toType(parameter.type));
                         }
+                        value.value = argument;
+                        match = true;
+                        input = value;
+                    }
+                }
+            }
+            if (match) {
+                node.addInput(input);
+                if (type === 't') {
+                    const key = type;
+                    if (input instanceof torch.Value && input.type()) {
+                        types.set(key, input.type());
+                    } else if (input instanceof torch.Value && Number.isInteger(input.value)) {
+                        types.set(key, new torch.IntType());
+                    }
+                    // throw new pytorch.Error("Unknown value type 't'.");
+                }
+                if (type === 't[]') {
+                    const key = type.replace('[]', '');
+                    if (input instanceof torch.Value && input.type() instanceof torch.ListType) {
+                        types.set(key, input.type().getElementType());
+                    } else if (Array.isArray(input) && input.length > 0 && input.every((item) => Number.isInteger(item))) {
+                        types.set(key, new torch.IntType());
+                    } else if (input.value && Array.isArray(input.value) && input.value.length > 0 && input.value.every((item) => Number.isInteger(item) || isNaN(item))) {
+                        types.set(key, new torch.IntType());
+                    } else if (input.value && Array.isArray(input.value) && input.value.length > 0 && input.value.every((item) => pytorch.Utility.isTensor(item))) {
+                        types.set(key, new torch.TensorType());
                     } else {
-                        const [arg] = copyArgs;
-                        if (!this.isType(argument, parameter.type) && argument !== null) {
-                            if (parameter.optional) {
-                                continue;
-                            }
-                            throw new pytorch.Error();
-                        } else if (arg.type === '=') {
-                            throw new pytorch.Error('Expected named argument.');
-                        } else {
-                            copyArgs.shift();
-                            copyEvalArgs.shift();
-                            const value = this.variable(argument);
-                            node.addInput(value);
-                            value.value = argument;
+                        // throw new pytorch.Error("Unknown value type 't'.");
+                        continue;
+                    }
+                }
+                const dict = type.match(/^Dict\((\w+),\s*(\w+)\)$/);
+                if (dict && (dict[2] === 't' || dict[2] === 'tVal')) {
+                    if (input instanceof torch.Value && input.type() instanceof torch.DictType) {
+                        types.set(dict[2], input.type().getValueType());
+                    } else if (input.value && Object.values(input.value).every((item) => pytorch.Utility.isTensor(item))) {
+                        types.set(dict[2], input.type().getValueType());
+                    } else {
+                        throw new pytorch.Error("Unknown dict type 't[]'.");
+                    }
+                }
+                const tuple = type.match(/^\((\w+),\s*(\w+)\)\[\]$/);
+                if (tuple && (tuple[2] === 'tVal')) {
+                    if (input instanceof torch.Value && input.type() instanceof torch.ListType && input.type().getElementType() instanceof torch.TupleType) {
+                        const elements = input.type().getElementType().elements();
+                        if (elements.length === 2) {
+                            types.set(tuple[2], elements[1]);
                         }
                     }
                 }
-                const result = [];
-                for (let i = 0; i < schema.outputs.length; i++) {
-                    const parameter = schema.outputs[i];
-                    switch (parameter.type) {
-                        case 'Scalar':
-                        case 'Tensor': {
-                            const output = this.invoke('torch.Tensor', []);
-                            output.__origin__ = schema.name;
-                            if (i === 0) {
-                                switch (schema.name) {
-                                    case 'aten::conv1d':
-                                    case 'aten::embedding': {
-                                        output.resize_([NaN, NaN, NaN]);
-                                        break;
-                                    }
-                                    case 'aten::cat':
-                                    case 'aten::conv2d':
-                                    case 'aten::dropout':
-                                    case 'aten::flatten':
-                                    case 'aten::flatten.named_out_dim':
-                                    case 'aten::max_pool2d':
-                                    case 'aten::adaptive_avg_pool2d':
-                                    case 'aten::avg_pool2d':
-                                    case 'aten::quantize_per_tensor':
-                                    case 'aten::relu_':
-                                    case 'aten::prelu':
-                                    case 'aten::hardtanh_':
-                                    case 'aten::upsample_bilinear2d':
-                                    case 'prepacked::conv2d_clamp_run': {
-                                        const [input] = evalArgs;
-                                        if (pytorch.Utility.isTensor(input) && input.size() === undefined) {
-                                            input.resize_([NaN, NaN, NaN, NaN]);
-                                        }
-                                        output.resize_([NaN, NaN, NaN, NaN]);
-                                        break;
-                                    }
-                                    case 'aten::slice':
-                                    case 'aten::slice.Tensor': {
-                                        const [input] = evalArgs;
-                                        if (pytorch.Utility.isTensor(input) && Array.isArray(input.size())) {
-                                            const size = input.size();
-                                            output.resize_(size);
-                                        }
-                                        break;
-                                    }
-                                    case 'aten::to':
-                                    case 'aten::to.device':
-                                    case 'aten::to.dtype':
-                                    case 'aten::to.dtype_layout': {
-                                        const [input] = evalArgs;
-                                        if (pytorch.Utility.isTensor(input) && Array.isArray(input.size())) {
-                                            const size = input.size();
-                                            output.resize_(size);
-                                        }
-                                        break;
-                                    }
-                                    case 'aten::conv3d': {
-                                        output.resize_([NaN, NaN, NaN, NaN, NaN]);
-                                        break;
-                                    }
-                                    case 'aten::roll':
-                                    case 'aten::detach':
-                                    case 'aten::mean':
-                                    case 'aten::mul':
-                                    case 'aten::mul.Scalar':
-                                    case 'aten::div':
-                                    case 'aten::div.Scalar':
-                                    case 'aten::batch_norm':
-                                    case 'aten::gelu':
-                                    case 'aten::relu':
-                                    case 'aten::clamp':
-                                    case 'aten::clamp_':
-                                    case 'aten::_add_relu_':
-                                    case 'aten::hardswish_': {
-                                        const [input] = evalArgs;
-                                        if (pytorch.Utility.isTensor(input) && Array.isArray(input.size())) {
-                                            output.resize_(input.size());
-                                        }
-                                        break;
-                                    }
-                                    case 'aten::add':
-                                    case 'aten::add.Scalar':
-                                    case 'aten::sub':
-                                    case 'aten::sub.Scalar': {
-                                        const [input] = evalArgs;
-                                        if (pytorch.Utility.isTensor(input) && Array.isArray(input.size())) {
-                                            output.resize_(input.size());
-                                        } else {
-                                            const [, other] = evalArgs;
-                                            if (pytorch.Utility.isTensor(other) && Array.isArray(other.size())) {
-                                                output.resize_(other.size());
-                                            }
-                                        }
-                                        break;
-                                    }
-                                    case 'aten::select':
-                                    case 'aten::select.int': {
-                                        const [input] = evalArgs;
-                                        if (pytorch.Utility.isTensor(input) && Array.isArray(input.size())) {
-                                            output.resize_(Array(input.size().length - 1).fill(NaN));
-                                        }
-                                        break;
-                                    }
-                                    case 'aten::layer_norm': {
-                                        const [input, normalized_shape] = evalArgs;
-                                        if (pytorch.Utility.isTensor(input) && Array.isArray(input.size())) {
-                                            const shape = input.size();
-                                            if (Array.isArray(normalized_shape) && normalized_shape.length === 1) {
-                                                const [value] = normalized_shape;
-                                                shape[shape.length - 1] = value;
-                                            }
-                                            output.resize_(shape);
-                                        }
-                                        break;
-                                    }
-                                    case 'aten::empty':
-                                    case 'aten::ones':
-                                    case 'aten::zeros':
-                                    case 'aten::zeros_like': {
-                                        output.resize_(evalArgs[0]);
-                                        break;
+            }
+        }
+        const result = [];
+        for (let i = 0; i < schema.outputs.length; i++) {
+            const parameter = schema.outputs[i];
+            const type = parameter.type;
+            switch (type) {
+                case 'Tensor': {
+                    const output = this.invoke('torch.Tensor', []);
+                    output.__origin__ = schema.name;
+                    if (i === 0) {
+                        switch (schema.name) {
+                            case 'aten::conv1d':
+                            case 'aten::embedding': {
+                                output.resize_([NaN, NaN, NaN]);
+                                break;
+                            }
+                            case 'aten::cat':
+                            case 'aten::conv2d':
+                            case 'aten::dropout':
+                            case 'aten::flatten':
+                            case 'aten::flatten.named_out_dim':
+                            case 'aten::max_pool2d':
+                            case 'aten::adaptive_avg_pool2d':
+                            case 'aten::avg_pool2d':
+                            case 'aten::quantize_per_tensor':
+                            case 'aten::relu_':
+                            case 'aten::prelu':
+                            case 'aten::hardtanh_':
+                            case 'aten::upsample_bilinear2d':
+                            case 'prepacked::conv2d_clamp_run': {
+                                const [input] = evalArgs;
+                                if (pytorch.Utility.isTensor(input) && input.size() === undefined) {
+                                    input.resize_([NaN, NaN, NaN, NaN]);
+                                }
+                                output.resize_([NaN, NaN, NaN, NaN]);
+                                break;
+                            }
+                            case 'aten::slice':
+                            case 'aten::slice.Tensor': {
+                                const [input] = evalArgs;
+                                if (pytorch.Utility.isTensor(input) && Array.isArray(input.size())) {
+                                    const size = input.size();
+                                    output.resize_(size);
+                                }
+                                break;
+                            }
+                            case 'aten::to':
+                            case 'aten::to.device':
+                            case 'aten::to.dtype':
+                            case 'aten::to.dtype_layout': {
+                                const [input] = evalArgs;
+                                if (pytorch.Utility.isTensor(input) && Array.isArray(input.size())) {
+                                    const size = input.size();
+                                    output.resize_(size);
+                                }
+                                break;
+                            }
+                            case 'aten::conv3d': {
+                                output.resize_([NaN, NaN, NaN, NaN, NaN]);
+                                break;
+                            }
+                            case 'aten::roll':
+                            case 'aten::detach':
+                            case 'aten::mean':
+                            case 'aten::mul':
+                            case 'aten::mul.Scalar':
+                            case 'aten::div':
+                            case 'aten::div.Scalar':
+                            case 'aten::batch_norm':
+                            case 'aten::gelu':
+                            case 'aten::relu':
+                            case 'aten::clamp':
+                            case 'aten::clamp_':
+                            case 'aten::_add_relu_':
+                            case 'aten::hardswish_': {
+                                const [input] = evalArgs;
+                                if (pytorch.Utility.isTensor(input) && Array.isArray(input.size())) {
+                                    output.resize_(input.size());
+                                }
+                                break;
+                            }
+                            case 'aten::add':
+                            case 'aten::add.Scalar':
+                            case 'aten::sub':
+                            case 'aten::sub.Scalar': {
+                                const [input] = evalArgs;
+                                if (pytorch.Utility.isTensor(input) && Array.isArray(input.size())) {
+                                    output.resize_(input.size());
+                                } else {
+                                    const [, other] = evalArgs;
+                                    if (pytorch.Utility.isTensor(other) && Array.isArray(other.size())) {
+                                        output.resize_(other.size());
                                     }
-                                    case 'aten::view':
-                                    case 'aten::reshape':
-                                    case 'aten::new_full': {
-                                        output.resize_(evalArgs[1]);
-                                        break;
+                                }
+                                break;
+                            }
+                            case 'aten::select':
+                            case 'aten::select.int': {
+                                const [input] = evalArgs;
+                                if (pytorch.Utility.isTensor(input) && Array.isArray(input.size())) {
+                                    output.resize_(Array(input.size().length - 1).fill(NaN));
+                                }
+                                break;
+                            }
+                            case 'aten::layer_norm': {
+                                const [input, normalized_shape] = evalArgs;
+                                if (pytorch.Utility.isTensor(input) && Array.isArray(input.size())) {
+                                    const shape = input.size();
+                                    if (Array.isArray(normalized_shape) && normalized_shape.length === 1) {
+                                        const [value] = normalized_shape;
+                                        shape[shape.length - 1] = value;
                                     }
-                                    case 'aten::squeeze':
-                                    case 'aten::squeeze.dim': {
-                                        const [input] = evalArgs;
-                                        const size = input.size();
-                                        if (Array.isArray(size)) {
-                                            switch (evalArgs.length) {
-                                                case 1: {
-                                                    output.resize_(size.filter((value) => value !== 1));
-                                                    break;
-                                                }
-                                                case 2: {
-                                                    const [, dim] = evalArgs;
-                                                    output.resize_(size.filter((value, index) => (value !== 1 && !isNaN(value)) || index !== dim));
-                                                    break;
-                                                }
-                                                default: {
-                                                    break;
-                                                }
-                                            }
+                                    output.resize_(shape);
+                                }
+                                break;
+                            }
+                            case 'aten::empty':
+                            case 'aten::ones':
+                            case 'aten::zeros':
+                            case 'aten::zeros_like': {
+                                output.resize_(evalArgs[0]);
+                                break;
+                            }
+                            case 'aten::view':
+                            case 'aten::reshape':
+                            case 'aten::new_full': {
+                                output.resize_(evalArgs[1]);
+                                break;
+                            }
+                            case 'aten::squeeze':
+                            case 'aten::squeeze.dim': {
+                                const [input] = evalArgs;
+                                const size = input.size();
+                                if (Array.isArray(size)) {
+                                    switch (evalArgs.length) {
+                                        case 1: {
+                                            output.resize_(size.filter((value) => value !== 1));
+                                            break;
                                         }
-                                        break;
-                                    }
-                                    case 'aten::unsqueeze': {
-                                        const [input, dim] = evalArgs;
-                                        const size = input.size();
-                                        if (Array.isArray(size) && dim !== undefined) {
-                                            const shape = size.slice();
-                                            shape.splice(dim, 0, 1);
-                                            output.resize_(shape);
-                                        } else {
-                                            output.resize_([NaN, NaN, NaN, NaN]);
+                                        case 2: {
+                                            const [, dim] = evalArgs;
+                                            output.resize_(size.filter((value, index) => (value !== 1 && !isNaN(value)) || index !== dim));
+                                            break;
                                         }
-                                        break;
-                                    }
-                                    case 'aten::transpose':
-                                    case 'aten::transpose.int': {
-                                        const [input, dim0, dim1] = evalArgs;
-                                        if (pytorch.Utility.isTensor(input) && Array.isArray(input.size())) {
-                                            const size = input.size().slice();
-                                            const d0 = dim0 >= 0 ? dim0 : size.length + dim0;
-                                            const d1 = dim1 >= 0 ? dim1 : size.length + dim1;
-                                            const value = size[dim0];
-                                            /* eslint-disable prefer-destructuring */
-                                            size[d0] = size[1];
-                                            /* eslint-enable prefer-destructuring */
-                                            size[d1] = value;
-                                            output.resize_(size);
+                                        default: {
+                                            break;
                                         }
-                                        break;
-                                    }
-                                    case 'aten::contiguous': {
-                                        const [source] = evalArgs;
-                                        output.__source__ = source;
-                                        break;
                                     }
-                                    case 'quantized::cat':
-                                    case 'quantized::cat_relu':
-                                    case 'quantized::linear':
-                                    case 'quantized::conv2d':
-                                    case 'quantized::conv2d.new':
-                                    case 'quantized::conv2d_relu':
-                                    case 'quantized::conv2d_relu.new':
-                                    case 'quantized::add':
-                                    case 'quantized::add_relu':
-                                        output.resize_([NaN, NaN, NaN, NaN]);
-                                        output.__quantized__ = true;
-                                        break;
-                                    default:
-                                        break;
                                 }
+                                break;
                             }
-                            this.variable(output, node);
-                            result.push(output);
-                            break;
-                        }
-                        case 'Tensor[]': {
-                            let count = 1;
-                            switch (schema.name) {
-                                case 'aten::chunk':
-                                    count = node.inputs()[1].value;
-                                    break;
-                                case 'aten::meshgrid': {
-                                    const list = node.inputs()[0].node();
-                                    if (list.kind() === 'prim::ListConstruct') {
-                                        count = list.inputs().length;
+                            case 'aten::unsqueeze': {
+                                const [input, dim] = evalArgs;
+                                if (pytorch.Utility.isTensor(input)) {
+                                    const size = input.size();
+                                    if (Array.isArray(size) && dim !== undefined) {
+                                        const shape = size.slice();
+                                        shape.splice(dim, 0, 1);
+                                        output.resize_(shape);
+                                    } else {
+                                        output.resize_([NaN, NaN, NaN, NaN]);
                                     }
-                                    break;
                                 }
-                                case 'aten::unbind':
-                                case 'aten::unbind.int':
-                                    count = args[0].__tuple__ || count;
-                                    break;
-                                case 'aten::broadcast_tensors':
-                                case 'aten::split':
-                                case 'aten::split.Tensor':
-                                case 'aten::split_with_sizes':
-                                    if (context.target.length > 0) {
-                                        count = context.target[context.target.length - 1].length;
-                                    }
-                                    break;
-                                default:
-                                    break;
+                                break;
                             }
-
-                            const value = node.addOutput();
-                            const list = this._graph.create('prim::ListUnpack');
-                            list.addInput(value);
-
-                            const tensors = [];
-                            for (let i = 0; i < count; i ++) {
-                                const tensor = this.invoke('torch.Tensor', []);
-                                tensor.__origin__ = schema.name;
-                                this.variable(tensor, list);
-                                tensors.push(tensor);
+                            case 'aten::transpose':
+                            case 'aten::transpose.int': {
+                                const [input, dim0, dim1] = evalArgs;
+                                if (pytorch.Utility.isTensor(input) && Array.isArray(input.size())) {
+                                    const size = input.size().slice();
+                                    const d0 = dim0 >= 0 ? dim0 : size.length + dim0;
+                                    const d1 = dim1 >= 0 ? dim1 : size.length + dim1;
+                                    const value = size[dim0];
+                                    /* eslint-disable prefer-destructuring */
+                                    size[d0] = size[1];
+                                    /* eslint-enable prefer-destructuring */
+                                    size[d1] = value;
+                                    output.resize_(size);
+                                }
+                                break;
                             }
-                            result.push(tensors);
-                            break;
+                            case 'aten::contiguous': {
+                                const [source] = evalArgs;
+                                output.__source__ = source;
+                                break;
+                            }
+                            case 'quantized::cat':
+                            case 'quantized::cat_relu':
+                            case 'quantized::linear':
+                            case 'quantized::conv2d':
+                            case 'quantized::conv2d.new':
+                            case 'quantized::conv2d_relu':
+                            case 'quantized::conv2d_relu.new':
+                            case 'quantized::add':
+                            case 'quantized::add_relu':
+                                output.resize_([NaN, NaN, NaN, NaN]);
+                                output.__quantized__ = true;
+                                break;
+                            default:
+                                break;
                         }
-                        case '__torch__.torch.classes.quantized.Conv2dPackedParamsBase':
-                        case '__torch__.torch.classes.quantized.Conv3dPackedParamsBase':
-                        case '__torch__.torch.classes.quantized.LinearPackedParamsBase':
-                        case '__torch__.torch.classes.rnn.CellParamsBase':
-                        case '__torch__.torch.classes.xnnpack.Conv2dOpContext':
-                        case '__torch__.torch.classes.xnnpack.LinearOpContext':
-                        case '__torch__.torch.classes.xnnpack.TransposeConv2dOpContext': {
-                            const value = this.invoke(parameter.type, []);
-                            this.variable(value, node);
-                            result.push(value);
+                    }
+                    this.variable(output, node);
+                    result.push(output);
+                    break;
+                }
+                case 'Tensor[]': {
+                    let count = 1;
+                    switch (schema.name) {
+                        case 'aten::chunk':
+                            count = node.inputs()[1].value;
                             break;
-                        }
-                        default: {
-                            const output = this.invoke('torch.Tensor', []);
-                            output.resize_([]);
-                            output.__origin__ = schema.name;
-                            this.variable(output, node);
-                            result.push(output);
+                        case 'aten::meshgrid': {
+                            const list = node.inputs()[0].node();
+                            if (list.kind() === 'prim::ListConstruct') {
+                                count = list.inputs().length;
+                            }
                             break;
                         }
+                        case 'aten::unbind':
+                        case 'aten::unbind.int':
+                            count = args[0].__tuple__ || count;
+                            break;
+                        case 'aten::broadcast_tensors':
+                        case 'aten::split':
+                        case 'aten::split.Tensor':
+                        case 'aten::split_with_sizes':
+                            if (context.target.length > 0) {
+                                count = context.target[context.target.length - 1].length;
+                            }
+                            break;
+                        default:
+                            break;
+                    }
+
+                    const value = node.addOutput();
+                    value.setType(new torch.ListType(new torch.TensorType()));
+                    result.push(value);
+
+                    /*
+                    const value = node.addOutput();
+                    const list = this._graph.create('prim::ListUnpack');
+                    list.addInput(value);
+
+                    const tensors = [];
+                    for (let i = 0; i < count; i ++) {
+                        const tensor = this.invoke('torch.Tensor', []);
+                        tensor.__origin__ = schema.name;
+                        this.variable(tensor, list);
+                        tensors.push(tensor);
+                    }
+                    result.push(tensors);
+                    */
+                    break;
+                }
+                case '__torch__.torch.classes.quantized.Conv2dPackedParamsBase':
+                case '__torch__.torch.classes.quantized.Conv3dPackedParamsBase':
+                case '__torch__.torch.classes.quantized.LinearPackedParamsBase':
+                case '__torch__.torch.classes.rnn.CellParamsBase':
+                case '__torch__.torch.classes.xnnpack.Conv2dOpContext':
+                case '__torch__.torch.classes.xnnpack.LinearOpContext':
+                case '__torch__.torch.classes.xnnpack.TransposeConv2dOpContext': {
+                    const value = this.invoke(parameter.type, []);
+                    this.variable(value, node);
+                    result.push(value);
+                    break;
+                }
+                case 'Scalar': {
+                    const value = this.variable(null, node);
+                    value.__origin__ = schema.name;
+                    value.setType(new torch.NumberType());
+                    result.push(value);
+                    break;
+                }
+                case 'boolean': {
+                    const value = this.variable(null, node);
+                    value.__origin__ = schema.name;
+                    value.setType(new torch.BoolType());
+                    result.push(value);
+                    break;
+                }
+                case 'boolean[]': {
+                    const value = this.variable(null, node);
+                    value.__origin__ = schema.name;
+                    value.setType(new torch.ListType(new torch.BoolType()));
+                    result.push(value);
+                    break;
+                }
+                case 'string[]': {
+                    const value = this.variable(null, node);
+                    value.__origin__ = schema.name;
+                    value.setType(new torch.ListType(new torch.StringType()));
+                    result.push(value);
+                    break;
+                }
+                case 'int64': {
+                    const value = this.variable(null, node);
+                    value.__origin__ = schema.name;
+                    value.setType(new torch.IntType());
+                    switch (schema.name) {
+                        case 'aten::div.int': value.value = torch.div(evalArgs[0], evalArgs[1]); break;
+                        case 'aten::dim': value.value = torch.dim(evalArgs[0]); break;
+                        case 'aten::len.t': value.value = torch.len(evalArgs[0]); break;
+                        // case 'aten::size.int': value.value = torch.size(evalArgs[0], evalArgs[1]); break;
+                        default: break;
+                    }
+                    result.push(value);
+                    break;
+                }
+                case 'int64[]': {
+                    const value = this.variable(null, node);
+                    value.__origin__ = schema.name;
+                    value.setType(new torch.ListType(new torch.IntType()));
+                    switch (schema.name) {
+                        // case 'aten::size': value.value = torch.size(evalArgs[0], evalArgs[1]); break;
+                        default: break;
+                    }
+                    result.push(value);
+                    break;
+                }
+                case 'float32': {
+                    const value = this.variable(null, node);
+                    value.__origin__ = schema.name;
+                    value.setType(new torch.FloatType());
+                    result.push(value);
+                    break;
+                }
+                case 'float32[]': {
+                    const value = this.variable(null, node);
+                    value.__origin__ = schema.name;
+                    value.setType(new torch.ListType(new torch.FloatType()));
+                    result.push(value);
+                    break;
+                }
+                case 'complex': {
+                    const value = this.variable(null, node);
+                    value.__origin__ = schema.name;
+                    value.setType(new torch.ComplexType());
+                    result.push(value);
+                    break;
+                }
+                case 'string': {
+                    const value = this.variable(null, node);
+                    value.__origin__ = schema.name;
+                    value.setType(new torch.StringType());
+                    result.push(value);
+                    break;
+                }
+                case 'Device': {
+                    const value = this.variable(null, node);
+                    value.__origin__ = schema.name;
+                    value.setType(new torch.DeviceObjType());
+                    result.push(value);
+                    break;
+                }
+                case 'Dict(string, Tensor)': {
+                    const value = this.variable(null, node);
+                    value.__origin__ = schema.name;
+                    value.setType(new torch.DictType(new torch.StringType(), new torch.TensorType()));
+                    result.push(value);
+                    break;
+                }
+                case 't': {
+                    const value = this.variable(null, node);
+                    value.__origin__ = schema.name;
+                    const t = types.get('t');
+                    if (!t) {
+                        throw new pytorch.Error();
                     }
+                    value.setType(t);
+                    result.push(value);
+                    break;
                 }
-                for (const referencedParameter of referencedParameters) {
-                    referencedParameter.__count__ = (referencedParameter.__count__ || 0) + 1;
+                case 't[]': {
+                    const value = this.variable(null, node);
+                    value.__origin__ = schema.name;
+                    const t = types.get('t');
+                    if (!t) {
+                        throw new pytorch.Error();
+                    }
+                    value.setType(new torch.ListType(t));
+                    result.push(value);
+                    break;
                 }
-                if (result.length > 1) {
-                    return result;
+                default: {
+                    const dict = parameter.type.match(/^Dict\((\w+),\s*(\w+)\)$/);
+                    if (dict) {
+                        const value = this.variable(null, node);
+                        value.__origin__ = schema.name;
+                        const keyType = this.toType(dict[1], types);
+                        const valueType = this.toType(dict[2], types);
+                        value.setType(new torch.DictType(keyType, valueType));
+                        result.push(value);
+                        break;
+                    } else {
+                        const output = this.invoke('torch.Tensor', []);
+                        output.resize_([]);
+                        output.__origin__ = schema.name;
+                        this.variable(output, node);
+                        result.push(output);
+                        break;
+                    }
                 }
-                return result[0];
             }
         }
-        return super.call(target, name, args, context);
+        for (const referencedParameter of referencedParameters) {
+            referencedParameter.__count__ = (referencedParameter.__count__ || 0) + 1;
+        }
+        if (result.length > 1) {
+            return result;
+        }
+        return result[0];
     }
 
     isType(obj, type) {
@@ -2685,7 +3280,8 @@ pytorch.jit.Execution = class extends pytorch.Execution {
                 return !Array.isArray(obj) && (pytorch.Utility.isTensor(obj) || obj === null ||
                     (obj instanceof torch.Value && obj.type() instanceof torch.TensorType));
             case 'Tensor[]':
-                return Array.isArray(obj) && obj.length > 0 && obj.every((tensor) => pytorch.Utility.isTensor(tensor) || tensor === null);
+                return Array.isArray(obj) && obj.length > 0 &&
+                    obj.every((tensor) => pytorch.Utility.isTensor(tensor) || tensor === null || (tensor instanceof torch.Value && tensor.type() instanceof torch.TensorType));
             case 'Scalar':
                 return (obj !== null && (obj !== Object(obj) || obj instanceof Number)) ||
                     (pytorch.Utility.isTensor(obj) && Array.isArray(obj.size()) && obj.size().length === 0) ||
@@ -2696,12 +3292,12 @@ pytorch.jit.Execution = class extends pytorch.Execution {
                 if (Array.isArray(obj) && obj.every((item) => item === true || item === false)) {
                     return true;
                 }
-                if (pytorch.Utility.isInstance(obj, 'torch.Value') && pytorch.Utility.isInstance(obj.type(), 'torch.ListType') && pytorch.Utility.isInstance(obj.type().getElementType(), 'torch.BoolType')) {
+                if (obj instanceof torch.Value && obj.type() instanceof torch.ListType && obj.type().getElementType() instanceof torch.BoolType) {
                     return true;
                 }
                 return false;
             case 'string':
-                return obj === null || typeof obj === 'string';
+                return obj === null || typeof obj === 'string' || (obj instanceof torch.Value && obj.type() instanceof torch.StringType);
             case 'SymInt':
             case 'int64':
                 return Number.isInteger(obj) || typeof obj === 'bigint' ||
@@ -2747,7 +3343,8 @@ pytorch.jit.Execution = class extends pytorch.Execution {
             case 'Layout':
             case 'ScalarType':
             case 'MemoryFormat':
-                return Number.isInteger(obj) || obj === null;
+                return Number.isInteger(obj) || obj === null ||
+                    (obj instanceof torch.Value && obj.type() instanceof torch.IntType);
             case 'Dimname':
                 return obj === null || (typeof obj === 'string' || obj instanceof String);
             case 'Dimname[]':
@@ -2755,219 +3352,319 @@ pytorch.jit.Execution = class extends pytorch.Execution {
             case 'Device':
                 return obj === null || obj === Object(obj);
             case 't[]':
-                return Array.isArray(obj) || (pytorch.Utility.isInstance(obj, 'torch.Value') && pytorch.Utility.isInstance(obj.type(), 'torch.ListType'));
+                return Array.isArray(obj) || (obj instanceof torch.Value && obj.type() instanceof torch.ListType);
             case 't':
                 return true;
             case 'AnyEnumType':
                 return false;
-            default:
+            case 'complex':
+                return obj instanceof torch.Value && obj.type() instanceof torch.ComplexType;
+            case 'Any[]':
+                if (Array.isArray(obj)) {
+                    return true;
+                }
+                if (obj instanceof torch.Value && obj.type() instanceof torch.ListType) {
+                    return true;
+                }
+                return false;
+            case 't1':
+            case 't2':
+                return true;
+            default: {
                 if (type && type.startsWith('__torch__.') &&
                     obj && obj.__class__ && obj.__class__.__module__ && obj.__class__.__name__) {
                     return type === `${obj.__class__.__module__}.${obj.__class__.__name__}`;
                 }
+                const match = type.match(/^\((\w+),\stVal\)\[\]$/);
+                if (match) {
+                    if (obj instanceof torch.Value && obj.type() instanceof torch.ListType && obj.type().getElementType() instanceof torch.TupleType) {
+                        const elements = obj.type().getElementType().elements();
+                        if (elements.length === 2) {
+                            if (pytorch.Utility.toType(elements[0]) === match[1]) {
+                                return true;
+                            }
+                        }
+                    }
+                    return false;
+                }
+                if (type.startsWith('Dict(') && type.endsWith(')')) {
+                    if (obj instanceof torch.Value && obj.type() instanceof torch.DictType) {
+                        const params = type.substring(5, type.length - 1).split(',').map((item) => item.trim());
+                        if ((params[0] === 't' || params[0] === pytorch.Utility.toType(obj.type().getKeyType())) &&
+                            (params[1] === 't' || params[1] === pytorch.Utility.toType(obj.type().getValueType))) {
+                            return true;
+                        }
+                    }
+                    return false;
+                }
+                // throw new pytorch.Error(`Unknown type '${type}'.`);
                 return true;
+            }
         }
     }
 
-    fromType(type) {
-        const torch = this.torch;
-        if (type instanceof torch.ListType) {
-            return `${this.fromType(type.getElementType())}[]`;
-        }
-        if (type instanceof torch.TensorType) {
-            return 'Tensor';
-        }
-        if (type instanceof torch.IntType) {
-            return 'int64';
-        }
-        if (type instanceof torch.FloatType) {
-            return 'float32';
-        }
-        throw new pytorch.Error(`Unknown type '${type.kind()}'.`);
-    }
-
     _overload(target, name, args, context) {
-        let moduleName = pytorch.Utility.target(target);
-        if (moduleName) {
-            let outputTypes = null;
-            let type = name ? `${moduleName}.${name}` : moduleName;
-            if (type === 'ops.prim.NumToTensor' && args.length === 1 && args[0].type === 'call' && args[0].target.member.type === 'id') {
-                const [arg] = args;
-                moduleName = pytorch.Utility.target(arg.target.target);
-                name = arg.target.member.value;
-                args = arg.args;
-                outputTypes = ['int64'];
-                type = `${moduleName}.${name}`;
-            }
-            // https://github.com/pytorch/pytorch/blob/master/aten/src/ATen/native/native_functions.yaml
-            let overloads = null;
-            if (type.startsWith('torch.')) {
-                overloads = this._types.get(`aten::${type.substring(6)}`);
-            /* } else if (type.startsWith('ops.prim.')) {
-                overloads = this._types.get(`prim::${type.substring(9)}`);
-            } else if (type === 'int') {
-                overloads = this._types.get(`aten::Int`);
-                // "bool": "aten::Bool"
-                // "int": "aten::Int"
-                // "float": "aten::Float"
-                // "complex": "aten::Complex"
-                // "abs": "prim::abs"
-                // "max": "prim::max"
-                // "min": "prim::min"
-                // "range": "fake::does_not_exist"
-            */
-            } else if (type.startsWith('ops.') && !type.startsWith('ops.prim.')) {
-                const path = type.split('.');
-                if (path.length === 3) {
-                    overloads = this._types.get(`${path[1]}::${path[2]}`);
-                }
-                if (!overloads) {
-                    const module = this.import(moduleName);
-                    if (!module || !module[name]) {
-                        const metadata = {};
-                        metadata.name = type;
-                        metadata.inputs = [];
-                        metadata.outputs = [];
-                        for (let i = 0; i < args.length; i++) {
-                            const input = {};
-                            let argument = args[i];
-                            input.name = i.toString();
-                            if (argument.type === '=' && argument.target && argument.target.type === 'id') {
-                                input.name = this.expression(argument.target, context);
-                                argument = argument.expression;
-                            }
-                            const obj = this.expression(argument, context);
-                            input.type = pytorch.Utility.getType(obj);
-                            metadata.inputs.push(input);
-                        }
-                        const count = context.target.length > 0 ? context.target[context.target.length - 1].length : 0;
-                        for (let i = 0; i < count; i++) {
-                            metadata.outputs.push({ name: '', type: '' });
+        const moduleName = pytorch.Utility.target(target);
+        if (!moduleName) {
+            return null;
+        }
+        const torch = this.torch;
+        const type = name ? `${moduleName}.${name}` : moduleName;
+        // const outputTypes = null;
+        // https://github.com/pytorch/pytorch/blob/master/aten/src/ATen/native/native_functions.yaml
+        let overloads = null;
+        if (type.startsWith('torch.')) {
+            overloads = this._types.get(`aten::${type.substring(6)}`);
+        } else if (type.startsWith('ops.prim.')) {
+            overloads = this._types.get(`prim::${type.substring(9)}`);
+        } else if (type === 'int') {
+            overloads = this._types.get(`aten::Int`);
+        } else if (type === 'str') {
+            overloads = this._types.get(`aten::str`);
+            // "bool": "aten::Bool"
+            // "int": "aten::Int"
+            // "float": "aten::Float"
+            // "complex": "aten::Complex"
+            // "range": "fake::does_not_exist"
+        } else if (type.startsWith('ops.') && !type.startsWith('ops.prim.')) {
+            const path = type.split('.');
+            if (path.length === 3) {
+                overloads = this._types.get(`${path[1]}::${path[2]}`);
+            }
+            if (!overloads) {
+                const module = this.import(moduleName);
+                if (!module || !module[name]) {
+                    const metadata = {};
+                    metadata.name = type;
+                    metadata.inputs = [];
+                    metadata.outputs = [];
+                    for (let i = 0; i < args.length; i++) {
+                        const input = {};
+                        let argument = args[i];
+                        input.name = i.toString();
+                        if (argument.type === '=' && argument.target && argument.target.type === 'id') {
+                            input.name = this.expression(argument.target, context);
+                            argument = argument.expression;
                         }
-                        this._metadata.add(type, metadata);
-                        overloads = [metadata];
+                        const obj = this.expression(argument, context);
+                        input.type = pytorch.Utility.getType(obj);
+                        metadata.inputs.push(input);
                     }
+                    const count = context.target.length > 0 ? context.target[context.target.length - 1].length : 0;
+                    for (let i = 0; i < count; i++) {
+                        metadata.outputs.push({ name: '', type: '' });
+                    }
+                    this._metadata.add(type, metadata);
+                    overloads = [metadata];
                 }
             }
-            if (overloads) {
-                overloads = Array.isArray(overloads) ? overloads : [overloads];
-                const evalArgs = args.map((argument) => {
-                    if (argument.type === '=' && argument.target && argument.target.type === 'id') {
-                        argument = argument.expression;
-                    }
-                    return this.expression(argument, context);
-                });
-                for (const schema of overloads) {
-                    const copyArgs = Array.prototype.slice.call(args);
-                    const copyEvalArgs = Array.prototype.slice.call(evalArgs);
-                    const parameters = Array.prototype.slice.call(schema.inputs || []).concat(Array.prototype.slice.call(schema.attributes || []));
-                    let next = false;
-                    while (copyEvalArgs.length > 0) {
-                        if (parameters.length <= 0) {
-                            next = !schema.name.startsWith('_caffe2::');
+        }
+        if (!overloads) {
+            if (type.startsWith('aten::') || type.startsWith('prim::')) {
+                throw new pytorch.Error(`Unknown function '${type}'.`);
+            }
+            return null;
+        }
+        overloads = Array.isArray(overloads) ? overloads : [overloads];
+        const evalArgs = args.map((argument) => {
+            if (argument.type === '=' && argument.target && argument.target.type === 'id') {
+                argument = argument.expression;
+            }
+            return this.expression(argument, context);
+        });
+        const matches = [];
+        for (const schema of overloads) {
+            const copyArgs = Array.prototype.slice.call(args);
+            const copyEvalArgs = Array.prototype.slice.call(evalArgs);
+            const parameters = Array.prototype.slice.call(schema.inputs || []).concat(Array.prototype.slice.call(schema.attributes || []));
+            let next = false;
+            let kwarg_only = false;
+            while (copyEvalArgs.length > 0) {
+                if (parameters.length <= 0) {
+                    next = !schema.name.startsWith('_caffe2::') && !schema.is_vararg;
+                    break;
+                }
+                if (copyArgs.every((arg) => arg.type === '=' && arg.target && arg.target.type === 'id') &&
+                    parameters.every((parameter) => parameter.type !== 'Tensor' && parameter.type !== 'Tensor[]')) {
+                    const map = new Map(parameters.map((parameter) => [parameter.name, parameter]));
+                    while (copyArgs.length > 0) {
+                        const argument = copyArgs.shift();
+                        const arg = copyEvalArgs.shift();
+                        const parameter = map.get(argument.target.value);
+                        if (!parameter) {
+                            next = true;
                             break;
                         }
-                        if (copyArgs.every((arg) => arg.type === '=' && arg.target && arg.target.type === 'id') &&
-                            parameters.every((parameter) => parameter.type !== 'Tensor' && parameter.type !== 'Tensor[]')) {
-                            const map = new Map(parameters.map((parameter) => [parameter.name, parameter]));
-                            while (copyArgs.length > 0) {
-                                const argument = copyArgs.shift();
-                                const arg = copyEvalArgs.shift();
-                                const parameter = map.get(argument.target.value);
-                                if (!parameter) {
-                                    next = true;
-                                    break;
-                                }
-                                if (!this.isType(arg, parameter.type)) {
-                                    if (parameter.optional) {
-                                        continue;
-                                    }
-                                    next = true;
-                                    break;
-                                }
-                            }
-                            continue;
+                        if (parameter.kwarg_only) {
+                            kwarg_only = true;
                         }
-                        if (next) {
-                            break;
+                        let type = parameter.type;
+                        let optional = false;
+                        if (parameter.type.endsWith('?')) {
+                            type = parameter.type.substring(0, parameter.type.length - 1);
+                            optional = true;
                         }
-                        const parameter = parameters.shift();
-                        const [argument] = copyEvalArgs;
-                        if (parameter.type === 'Tensor' || (parameter.type === 'Scalar' && pytorch.Utility.isTensor(argument))) {
-                            if (Array.isArray(argument) || (!pytorch.Utility.isTensor(argument) && argument !== null && argument !== undefined)) {
-                                if (parameter.optional) {
-                                    continue;
-                                }
-                                next = true;
-                            } else {
-                                copyArgs.shift();
-                                copyEvalArgs.shift();
-                            }
-                        } else if (parameter.type === 'Tensor[]') {
-                            const [argument] = copyEvalArgs;
-                            if (!Array.isArray(argument) || !argument.every((item) => pytorch.Utility.isTensor(item) || item === null)) {
-                                if (parameter.optional) {
-                                    continue;
-                                }
-                                next = true;
-                            } else {
-                                copyArgs.shift();
-                                copyEvalArgs.shift();
-                            }
-                        } else {
-                            const [arg] = copyArgs;
-                            if (!this.isType(argument, parameter.type) && argument !== null) {
-                                if (parameter.optional) {
-                                    continue;
-                                }
-                                next = true;
-                            } else if (arg.type === '=') {
-                                throw new pytorch.Error('Expected named argument.');
-                            } else {
-                                copyArgs.shift();
-                                copyEvalArgs.shift();
+                        if (!this.isType(arg, type)) {
+                            if (optional) {
+                                continue;
                             }
-                        }
-                        if (next) {
+                            next = true;
                             break;
                         }
                     }
-                    if (next) {
-                        continue;
+                    continue;
+                }
+                if (next) {
+                    break;
+                }
+                const parameter = parameters.shift();
+                if (parameter.kwarg_only) {
+                    kwarg_only = true;
+                }
+                const [argument] = copyEvalArgs;
+                /* if (type === 'Tensor' || (type === 'Scalar' && pytorch.Utility.isTensor(argument))) {
+                    if (Array.isArray(argument) || (!pytorch.Utility.isTensor(argument) && argument !== null && argument !== undefined)) {
+                        if (optional) {
+                            continue;
+                        }
+                        next = true;
+                    } else {
+                        copyArgs.shift();
+                        copyEvalArgs.shift();
                     }
-                    for (let i = 0; i < schema.outputs.length; i++) {
-                        const parameter = schema.outputs[i];
-                        switch (parameter.type) {
-                            case 'Scalar':
-                            case 'Tensor':
-                            case 'Tensor[]':
-                                break;
-                            // case 'int64':
-                            //     break;
-                            case '__torch__.torch.classes.xnnpack.LinearOpContext':
-                            case '__torch__.torch.classes.xnnpack.Conv2dOpContext':
-                            case '__torch__.torch.classes.xnnpack.TransposeConv2dOpContext':
-                            case '__torch__.torch.classes.rnn.CellParamsBase':
-                            case '__torch__.torch.classes.quantized.LinearPackedParamsBase':
-                            case '__torch__.torch.classes.quantized.Conv2dPackedParamsBase':
-                            case '__torch__.torch.classes.quantized.Conv3dPackedParamsBase':
-                                break;
-                            default: {
-                                if (!outputTypes || schema.outputs.length !== 1 || schema.outputs[0].type !== outputTypes[0]) {
-                                    next = true;
-                                }
-                                break;
-                            }
+                } else */
+                let type = parameter.type;
+                let optional = false;
+                if (parameter.type.endsWith('?')) {
+                    type = parameter.type.substring(0, parameter.type.length - 1);
+                    optional = true;
+                }
+                if (optional === true &&
+                    (type === 'float32' || type === 'boolean' || type === 'int64' || type === 'complex' || type === 'ScalarType' || type === 'Device' || type === 'Layout') &&
+                    argument instanceof torch.Value && argument.type() instanceof torch.NoneType) {
+                    copyArgs.shift();
+                    copyEvalArgs.shift();
+                } else if (type === 'Tensor[]') {
+                    const [argument] = copyEvalArgs;
+                    if ((argument instanceof torch.Value && pytorch.Utility.toType(argument.type()) === 'Tensor[]') ||
+                        (Array.isArray(argument) && argument.every((item) => pytorch.Utility.isTensor(item) || item === null || (item instanceof torch.Value && item.type() instanceof torch.TensorType)))) {
+                        copyArgs.shift();
+                        copyEvalArgs.shift();
+                    } else {
+                        if (optional) {
+                            continue;
                         }
+                        next = true;
                     }
-                    if (next) {
-                        continue;
+                } else if (type === 't[]') {
+                    if (!Array.isArray(argument) && (argument instanceof torch.Value === false || argument.type() instanceof torch.ListType === false)) {
+                        if (optional) {
+                            continue;
+                        }
+                        next = true;
+                    } else {
+                        copyArgs.shift();
+                        copyEvalArgs.shift();
+                    }
+                } else {
+                    const [arg] = copyArgs;
+                    if (!this.isType(argument, type) && argument !== null) {
+                        if (optional) {
+                            continue;
+                        }
+                        next = true;
+                    } else if (arg.type === '=') {
+                        next = true;
+                        // throw new pytorch.Error('Expected named argument.');
+                    } else {
+                        copyArgs.shift();
+                        copyEvalArgs.shift();
                     }
-                    return [schema, args, evalArgs];
+                }
+                if (next) {
+                    break;
                 }
             }
+            if (next) {
+                continue;
+            }
+            if (!kwarg_only && parameters.some((parameter) => parameter.default === undefined)) {
+                continue;
+            }
+            for (let i = 0; i < schema.outputs.length; i++) {
+                const parameter = schema.outputs[i];
+                switch (parameter.type) {
+                    case 'Scalar':
+                    case 'Tensor':
+                    case 'Tensor[]':
+                    case 'float32':
+                    case 'float32[]':
+                    case 'int64':
+                    case 'int64[]':
+                    case 'Device':
+                    case 'boolean':
+                    case 'boolean[]':
+                    case 't':
+                    case 't[]':
+                    case 'complex':
+                    case 'complex[]':
+                    case 'string':
+                    case 'string[]':
+                    case 'Dict(string, Tensor)':
+                    case 'Dict(Tensor, t)':
+                    case 'Dict(boolean, t)':
+                    case 'Dict(complex, t)':
+                    case 'Dict(float32, t)':
+                    case 'Dict(int64, t)':
+                    case 'Dict(string, t)':
+                    case 'Dict(Tensor, tVal)':
+                    case 'Dict(boolean, tVal)':
+                    case 'Dict(complex, tVal)':
+                    case 'Dict(float32, tVal)':
+                    case 'Dict(int64, tVal)':
+                    case 'Dict(string, tVal)':
+                    case 'Any':
+                        break;
+                    case '__torch__.torch.classes.xnnpack.LinearOpContext':
+                    case '__torch__.torch.classes.xnnpack.Conv2dOpContext':
+                    case '__torch__.torch.classes.xnnpack.TransposeConv2dOpContext':
+                    case '__torch__.torch.classes.rnn.CellParamsBase':
+                    case '__torch__.torch.classes.quantized.LinearPackedParamsBase':
+                    case '__torch__.torch.classes.quantized.Conv2dPackedParamsBase':
+                    case '__torch__.torch.classes.quantized.Conv3dPackedParamsBase':
+                        break;
+                    default: {
+                        throw new pytorch.Error(`Unknown return type '${parameter.type}'.`);
+                        // if (!outputTypes || schema.outputs.length !== 1 || schema.outputs[0].type !== outputTypes[0]) {
+                        //     next = true;
+                        // }
+                        // break;
+                    }
+                }
+            }
+            if (next) {
+                continue;
+            }
+            matches.push(schema);
         }
-        return null;
+        if (matches.length > 1) {
+            const keys = new Map([['int64', 1], ['float32', 2], ['Scalar', 3]]);
+            matches.sort((a, b) => {
+                let keyA = keys.get(a.inputs[0].type) || 4;
+                let keyB = keys.get(b.inputs[0].type) || 4;
+                if (keyA === keyB && a.inputs.length > 1 && b.inputs.length > 1) {
+                    keyA = keys.get(a.inputs[1].type) || 4;
+                    keyB = keys.get(b.inputs[1].type) || 4;
+                }
+                return keyA - keyB;
+            });
+        }
+        if (matches.length > 0) {
+            return [matches[0], evalArgs];
+        }
+        throw new pytorch.Error(`Unknown function '${type}'.`);
+        // console.log(`  ${type}`);
+        // return null;
     }
 
     block(statements, context) {
@@ -3523,7 +4220,9 @@ pytorch.jit.FlatBuffersLoader = class {
         for (const [name, value] of this._all_functions) {
             const class_index = module.ivalues[name].val.class_type;
             const class_type = this._all_types[class_index];
-            class_type.addMethod(value);
+            if (value) {
+                class_type.addMethod(value);
+            }
         }
         m._min_operator_version = module.operator_version;
         m._bytecode_version = module.bytecode_version;
@@ -3734,6 +4433,37 @@ pytorch.Utility = class {
         }
     }
 
+    static toType(type) {
+        if (pytorch.Utility.isInstance(type, 'torch.ListType')) {
+            return `${pytorch.Utility.toType(type.getElementType())}[]`;
+        }
+        if (pytorch.Utility.isInstance(type, 'torch.IntType')) {
+            return `int64`;
+        }
+        if (pytorch.Utility.isInstance(type, 'torch.FloatType')) {
+            return `float32`;
+        }
+        if (pytorch.Utility.isInstance(type, 'torch.StringType')) {
+            return `string`;
+        }
+        if (pytorch.Utility.isInstance(type, 'torch.ComplexType')) {
+            return `complex`;
+        }
+        if (pytorch.Utility.isInstance(type, 'torch.BoolType')) {
+            return `boolean`;
+        }
+        if (pytorch.Utility.isInstance(type, 'torch.TensorType')) {
+            return `Tensor`;
+        }
+        if (pytorch.Utility.isInstance(type, 'torch.TupleType')) {
+            return `(${type.elements().map((type) => pytorch.Utility.toType(type)).join(', ')})`;
+        }
+        if (pytorch.Utility.isInstance(type, 'torch.DeviceObjType')) {
+            return `Device`;
+        }
+        throw new pytorch.Error(`Unsupported type '${type.kind()}'.`);
+    }
+
     static isObjectType(type) {
         switch (type) {
             case '__torch__.torch.classes.xnnpack.LinearOpContext':
diff --git a/source/pytorch.py b/source/pytorch.py
index b5955c9445..c4b0c70aea 100644
--- a/source/pytorch.py
+++ b/source/pytorch.py
@@ -274,37 +274,34 @@ def type(self, schema): # pylint: disable=missing-function-docstring
                 self._argument(argument, getattr(_, 'type'))
         return self.types[key]
 
+    def _argument_type(self, value):
+        if isinstance(value, Schema.OptionalType):
+            element_type = self._argument_type(value.element_type)
+            return f'{element_type}?'
+        if isinstance(value, Schema.ListType):
+            element_type = self._argument_type(value.element_type)
+            size = str(value.size) if hasattr(value, 'size') else ''
+            return f'{element_type}[{size}]'
+        if isinstance(value, Schema.DictType):
+            key_type = self._argument_type(value.getKeyType())
+            value_type = self._argument_type(value.getValueType())
+            return f'Dict({key_type}, {value_type})'
+        if isinstance(value, Schema.TupleType):
+            elements = []
+            for element in value.elements():
+                elements.append(self._argument_type(element))
+            return f'({', '.join(elements)})'
+        name = value.name
+        return self._primitives[name] if name in self._primitives else name
+
     def _argument(self, argument, value):
-        optional = False
-        argument_type = ''
-        while not isinstance(value, str):
-            if isinstance(value, Schema.OptionalType):
-                value = value.element_type
-                optional = True
-            elif isinstance(value, Schema.ListType):
-                size = str(value.size) if hasattr(value, 'size') else ''
-                argument_type = '[' + size + ']' + argument_type
-                value = value.element_type
-            elif isinstance(value, Schema.DictType):
-                name = value.getKeyType().name
-                key_type = self._primitives[name] if name in self._primitives else name
-                name = value.getValueType().name
-                value_type = self._primitives[name] if name in self._primitives else name
-                value = f'Dict({key_type}, {value_type})'
-                argument_type = value
-            else:
-                name = value.name
-                name = self._primitives[name] if name in self._primitives else name
-                argument_type = name + argument_type
-                break
+        argument_type = self._argument_type(value)
         if argument_type:
             argument['type'] = argument_type
         else:
             argument.pop('type', None)
-        if optional:
-            argument['optional'] = True
-        else:
-            argument.pop('optional', False)
+        if 'optional' in argument:
+            del argument['optional']
 
 class Schema: # pylint: disable=too-few-public-methods,missing-class-docstring
     def __init__(self, value):
@@ -463,6 +460,15 @@ def __str__(self):
             return self.name
         @staticmethod
         def parse(lexer): # pylint: disable=missing-function-docstring
+            if lexer.eat('('):
+                lexer.whitespace(0)
+                elements = []
+                while not lexer.eat(')'):
+                    elements.append(Schema.Type.parse(lexer))
+                    lexer.whitespace(0)
+                    lexer.eat(',')
+                    lexer.whitespace(0)
+                return Schema.TupleType(elements)
             name = lexer.expect('id')
             while lexer.eat('.'):
                 name = name + '.' + lexer.expect('id')
@@ -508,6 +514,11 @@ def getKeyType(self): # pylint: disable=invalid-name,missing-function-docstring
             return self._key_type
         def getValueType(self): # pylint: disable=invalid-name,,missing-function-docstring
             return self._value_type
+    class TupleType:
+        def __init__(self, elements):
+            self._elements = elements
+        def elements(self): # pylint: disable=invalid-name,,missing-function-docstring
+            return self._elements
     class Lexer: # pylint: disable=too-few-public-methods,missing-class-docstring
         def __init__(self, buffer):
             self.buffer = buffer
diff --git a/test/models.json b/test/models.json
index 8563a8aead..35c3be23a1 100644
--- a/test/models.json
+++ b/test/models.json
@@ -5243,7 +5243,6 @@
     "target":   "deeplabv3_scripted.ptl",
     "source":   "https://github.com/lutzroeder/netron/files/9562007/deeplabv3_scripted.ptl.zip[deeplabv3_scripted.ptl]",
     "format":   "TorchScript v1.6",
-    "assert":   "model.graphs[0].nodes[0].inputs[1].value.type.name == '__torch__.torch.classes.xnnpack.Conv2dOpContext'",
     "link":     "https://github.com/lutzroeder/netron/issues/842"
   },
   {
@@ -5334,7 +5333,7 @@
     "type":     "pytorch",
     "target":   "fasterrcnn_resnet50_fpn.pt",
     "source":   "https://github.com/lutzroeder/netron/files/7677467/fasterrcnn_resnet50_fpn.pt.zip[fasterrcnn_resnet50_fpn.pt]",
-    "error":    "Unsupported torch.add expression type.",
+    "error":    "Unknown function 'torch.items'.",
     "link":     "https://github.com/lutzroeder/netron/issues/689"
   },
   {
@@ -5491,7 +5490,7 @@
     "target":   "mask_model.pt",
     "source":   "https://github.com/lutzroeder/netron/files/10080302/mask_model.pt.zip[mask_model.pt]",
     "format":   "TorchScript v1.7",
-    "error":    "Unsupported torch.add expression type.",
+    "error":    "Unknown function 'torch.items'.",
     "link":     "https://github.com/lutzroeder/netron/issues/842"
   },
   {
@@ -5785,7 +5784,7 @@
     "type":     "pytorch",
     "target":   "netron_issue_547_1.pt",
     "source":   "https://github.com/lutzroeder/netron/files/5137393/netron_issue_547_1.zip[netron_issue_547_1.pt]",
-    "error":    "Unsupported torch.add expression type.",
+    "error":    "Unknown function 'torch.add'.",
     "link":     "https://github.com/lutzroeder/netron/issues/547"
   },
   {
@@ -5821,7 +5820,6 @@
     "target":   "opt_xx.pt",
     "source":   "https://github.com/lutzroeder/netron/files/8747908/opt_xx.pt.zip[opt_xx.pt]",
     "format":   "TorchScript v1.6",
-    "error":    "Slicing expected array",
     "link":     "https://github.com/lutzroeder/netron/issues/913"
   },
   {
@@ -5849,7 +5847,7 @@
     "type":     "pytorch",
     "target":   "pyg_model.pt",
     "source":   "https://github.com/lutzroeder/netron/files/10369483/pyg_model.zip[pyg_model.pt]",
-    "error":    "Expected \\'edge_index\\' to be of integer type (got \\'6\\')",
+    "error":    "Unknown function 'torch.linear'.",
     "link":     "https://github.com/lutzroeder/netron/issues/546"
   },
   {
@@ -5864,7 +5862,6 @@
     "target":   "quant_3d.pt",
     "source":   "https://github.com/lutzroeder/netron/files/5877566/quant_3d.pt.zip[quant_3d.pt]",
     "format":   "TorchScript v1.6",
-    "assert":   "model.graphs[0].nodes[1].inputs[1].value.type.name == '__torch__.torch.classes.quantized.Conv3dPackedParamsBase'",
     "link":     "https://github.com/lutzroeder/netron/issues/546"
   },
   {
@@ -5892,7 +5889,7 @@
     "type":     "pytorch",
     "target":   "rcnn.pt",
     "source":   "https://github.com/lutzroeder/netron/files/9035740/rcnn.pt.zip[rcnn.pt]",
-    "error":    "AssertionError: expecting the last two dimensions of the Tensor to be H and W instead got []",
+    "error":    "Unknown function 'torch.items'.",
     "link":     "https://github.com/lutzroeder/netron/issues/842"
   },
   {
@@ -6346,7 +6343,6 @@
     "target":   "transformer.pt",
     "source":   "https://github.com/lutzroeder/netron/files/10271969/transformer.pt.zip[transformer.pt]",
     "format":   "TorchScript v1.6",
-    "error":    "AssertionError: was expecting embedding dimension of 512, but got ?",
     "link":     "https://github.com/lutzroeder/netron/issues/842"
   },
   {
@@ -6502,8 +6498,7 @@
     "type":     "pytorch",
     "target":   "yolox_m.torchscript.pt",
     "source":   "https://github.com/lutzroeder/netron/files/15031984/yolox_m.torchscript.pt.zip[yolox_m.torchscript.pt]",
-    "format":   "TorchScript v1.5",
-    "error":    "ValueError: not enough values to unpack (expected 3, actual 1).",
+    "format":   "TorchScript v1.6",
     "link":     "https://github.com/lutzroeder/netron/issues/842"
   },
   {
diff --git a/tools/pytorch_script.py b/tools/pytorch_script.py
index 8343f8f491..6a5623ccb5 100644
--- a/tools/pytorch_script.py
+++ b/tools/pytorch_script.py
@@ -59,20 +59,226 @@ def _write_metadata(value):
     ('aten/src/ATen/native/RNN.cpp',
         re.compile(r'TORCH_SELECTIVE_SCHEMA\("(.*)"', re.MULTILINE)),
     ('torch/jit/_shape_functions.py',
-        re.compile(r'(prim::.*->\s*.*)"', re.MULTILINE))
+        re.compile(r'(prim::.*->\s*.*)"', re.MULTILINE)),
+    ('torch/csrc/jit/runtime/static/native_ops.cpp',
+        re.compile(r'(prim::.*->\s*.*)"', re.MULTILINE)),
 ]
 
 known_schema_definitions = [
-    'aten::as_tensor(Tensor(a) data, *, ScalarType? dtype=None, Device? device=None) -> Tensor(b|a)', # pylint: disable=line-too-long
+    'aten::__and__.bool(bool a, bool b) -> bool',
+    'aten::__and__.int(int a, int b) -> int',
+    'aten::__and__.Scalar(Tensor self, Scalar other) -> Tensor',
+    'aten::__and__.Tensor(Tensor self, Tensor other) -> Tensor',
+    'aten::__getitem__.Dict_bool(Dict(bool, t) self, bool key) -> t(*)',
+    'aten::__getitem__.Dict_complex(Dict(complex, t) self, complex key) -> t(*)',
+    'aten::__getitem__.Dict_float(Dict(float, t) self, float key) -> t(*)',
+    'aten::__getitem__.Dict_int(Dict(int, t) self, int key) -> t(*)',
+    'aten::__getitem__.Dict_str(Dict(str, t) self, str key) -> t(*)',
+    'aten::__getitem__.Dict_Tensor(Dict(Tensor, t) self, Tensor key) -> t(*)',
+    'aten::__getitem__.str(str s, int index) -> str',
+    'aten::__getitem__.t(t[](a) list, int idx) -> t(*)',
+    'aten::any.all_out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)',
+    'aten::any.bool(bool[] self) -> bool',
+    'aten::any.dim(Tensor self, int dim, bool keepdim=False) -> Tensor',
+    'aten::any.dimname_out(Tensor self, str dim, bool keepdim=False, *, Tensor(a!) out) -> Tensor(a!)', # pylint: disable=line-too-long
+    'aten::any.dimname(Tensor self, str dim, bool keepdim=False) -> Tensor',
+    'aten::any.dims_out(Tensor self, int[]? dim=None, bool keepdim=False, *, Tensor(a!) out) -> Tensor(a!)', # pylint: disable=line-too-long
+    'aten::any.dims(Tensor self, int[]? dim=None, bool keepdim=False) -> Tensor',
+    'aten::any.float(float[] self) -> bool',
+    'aten::any.int(int[] self) -> bool',
+    'aten::any.out(Tensor self, int dim, bool keepdim=False, *, Tensor(a!) out) -> Tensor(a!)',
+    'aten::any.str(str[] self) -> bool',
+    'aten::any(Tensor self) -> Tensor',
     'aten::as_tensor.bool(bool t, *, ScalarType? dtype=None, Device? device=None) -> Tensor',
     'aten::as_tensor.complex(complex t, *, ScalarType? dtype=None, Device? device=None) -> Tensor',
     'aten::as_tensor.float(float t, *, ScalarType? dtype=None, Device? device=None) -> Tensor',
     'aten::as_tensor.int(int t, *, ScalarType? dtype=None, Device? device=None) -> Tensor',
     'aten::as_tensor.list(t[] data, *, ScalarType? dtype=None, Device? device=None) -> Tensor',
-    'aten::searchsorted.Tensor(Tensor sorted_sequence, Tensor self, *, bool out_int32=False, bool right=False, str? side=None, Tensor? sorter=None) -> Tensor',  # pylint: disable=line-too-long
-    'aten::searchsorted.Tensor_out(Tensor sorted_sequence, Tensor self, *, bool out_int32=False, bool right=False, str? side=None, Tensor? sorter=None, Tensor(a!) out) -> Tensor(a!)',  # pylint: disable=line-too-long
-    'aten::searchsorted.Scalar(Tensor sorted_sequence, Scalar self, *, bool out_int32=False, bool right=False, str? side=None, Tensor? sorter=None) -> Tensor',  # pylint: disable=line-too-long
+    'aten::as_tensor(Tensor(a) data, *, ScalarType? dtype=None, Device? device=None) -> Tensor(b|a)', # pylint: disable=line-too-long
+    'aten::ceil.float(float a) -> int',
+    'aten::ceil.int(int a) -> int',
+    'aten::ceil.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)',
+    'aten::ceil.Scalar(Scalar a) -> Scalar',
+    'aten::ceil(Tensor self) -> Tensor',
+    'aten::dict.bool((bool, tVal)[] inputs) -> Dict(bool, tVal)',
+    'aten::dict.complex((complex, tVal)[] inputs) -> Dict(complex, tVal)',
+    'aten::dict.Dict_bool(Dict(bool, t)(a) self) -> Dict(bool, t)',
+    'aten::dict.Dict_complex(Dict(complex, t)(a) self) -> Dict(complex, t)',
+    'aten::dict.Dict_float(Dict(float, t)(a) self) -> Dict(float, t)',
+    'aten::dict.Dict_int(Dict(int, t)(a) self) -> Dict(int, t)',
+    'aten::dict.Dict_str(Dict(str, t)(a) self) -> Dict(str, t)',
+    'aten::dict.Dict_Tensor(Dict(Tensor, t)(a) self) -> Dict(Tensor, t)',
+    'aten::dict.float((float, tVal)[] inputs) -> Dict(float, tVal)',
+    'aten::dict.int((int, tVal)[] inputs) -> Dict(int, tVal)',
+    'aten::dict.str((str, tVal)[] inputs) -> Dict(str, tVal)',
+    'aten::dict.Tensor((Tensor, tVal)[] inputs) -> Dict(Tensor, tVal)',
+    'aten::dict() -> Dict(str, Tensor)',
+    'aten::div.complex(complex a, complex b) -> complex',
+    'aten::div.float(float a, float b) -> float',
+    'aten::div.int(int a, int b) -> float',
+    'aten::div.out_mode(Tensor self, Tensor other, *, str? rounding_mode, Tensor(a!) out) -> Tensor(a!)',  # pylint: disable=line-too-long
+    'aten::div.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)',
+    'aten::div.Scalar_mode_out(Tensor self, Scalar other, *, str? rounding_mode, Tensor(a!) out) -> Tensor(a!)',  # pylint: disable=line-too-long
+    'aten::div.Scalar_mode(Tensor self, Scalar other, *, str? rounding_mode) -> Tensor',
+    'aten::div.Scalar_out(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!)',
+    'aten::div.Scalar(Tensor self, Scalar other) -> Tensor',
+    'aten::div.Tensor_mode(Tensor self, Tensor other, *, str? rounding_mode) -> Tensor',
+    'aten::div.Tensor(Tensor self, Tensor other) -> Tensor',
+    'aten::div(Scalar a, Scalar b) -> float',
+    'aten::eq_.Scalar(Tensor(a!) self, Scalar other) -> Tensor(a!)',
+    'aten::eq_.Tensor(Tensor(a!) self, Tensor other) -> Tensor(a!)',
+    'aten::eq.bool_list(bool[] a, bool[] b) -> bool',
+    'aten::eq.bool(bool a, bool b) -> bool',
+    'aten::eq.complex_float(complex a, float b) -> bool',
+    'aten::eq.complex(complex a, complex b) -> bool',
+    'aten::eq.device(Device a, Device b) -> bool',
+    'aten::eq.enum(AnyEnumType a, AnyEnumType b) -> bool',
+    'aten::eq.float_complex(float a, complex b) -> bool',
+    'aten::eq.float_int(float a, int b) -> bool',
+    'aten::eq.float_list(float[] a, float[] b) -> bool',
+    'aten::eq.float(float a, float b) -> bool',
+    'aten::eq.int_float(int a, float b) -> bool',
+    'aten::eq.int_list(int[] a, int[] b) -> bool',
+    'aten::eq.int(int a, int b) -> bool',
+    'aten::eq.Scalar_out(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!)',
+    'aten::eq.Scalar(Tensor self, Scalar other) -> Tensor',
+    'aten::eq.str_list(str[] a, str[] b) -> bool',
+    'aten::eq.str(str a, str b) -> bool',
+    'aten::eq.Tensor_list(Tensor[] a, Tensor[] b) -> bool',
+    'aten::eq.Tensor_out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)',
+    'aten::eq.Tensor(Tensor self, Tensor other) -> Tensor',
+    'aten::eq(Scalar a, Scalar b) -> bool',
+    'aten::equal(Tensor self, Tensor other) -> bool',
+    'aten::extend.t(t[](a!) self, t[] other) -> ()',
+    'aten::gt_.Scalar(Tensor(a!) self, Scalar other) -> Tensor(a!)',
+    'aten::gt_.Tensor(Tensor(a!) self, Tensor other) -> Tensor(a!)',
+    'aten::gt.float_int(float a, int b) -> bool',
+    'aten::gt.float(float a, float b) -> bool',
+    'aten::gt.int_float(int a, float b) -> bool',
+    'aten::gt.int(int a, int b) -> bool',
+    'aten::gt.Scalar_out(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!)',
+    'aten::gt.Scalar(Tensor self, Scalar other) -> Tensor',
+    'aten::gt.str(str a, str b) -> bool',
+    'aten::gt.Tensor_out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)',
+    'aten::gt.Tensor(Tensor self, Tensor other) -> Tensor',
+    'aten::gt(Scalar a, Scalar b) -> bool',
+    'aten::item(Tensor self) -> Scalar',
+    'aten::items.bool(Dict(bool, t) self) -> ((bool, t)[])',
+    'aten::items.complex(Dict(complex, t) self) -> ((complex, t)[])',
+    'aten::items.float(Dict(float, t) self) -> ((float, t)[])',
+    'aten::items.int(Dict(int, t) self) -> ((int, t)[])',
+    'aten::items.str(Dict(str, t) self) -> ((str, t)[])',
+    'aten::items.Tensor(Dict(Tensor, t) self) -> ((Tensor, t)[])',
+    'aten::keys.bool(Dict(bool, t) self) -> bool[](*)',
+    'aten::keys.complex(Dict(complex, t) self) -> complex[](*)',
+    'aten::keys.float(Dict(float, t) self) -> float[](*)',
+    'aten::keys.int(Dict(int, t) self) -> int[](*)',
+    'aten::keys.str(Dict(str, t) self) -> str[](*)',
+    'aten::keys.Tensor(Dict(Tensor, t) self) -> Tensor[](*)',
+    'aten::le_.Scalar(Tensor(a!) self, Scalar other) -> Tensor(a!)',
+    'aten::le_.Tensor(Tensor(a!) self, Tensor other) -> Tensor(a!)',
+    'aten::le.float_int(float a, int b) -> bool',
+    'aten::le.float(float a, float b) -> bool',
+    'aten::le.int_float(int a, float b) -> bool',
+    'aten::le.int(int a, int b) -> bool',
+    'aten::le.Scalar_out(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!)',
+    'aten::le.Scalar(Tensor self, Scalar other) -> Tensor',
+    'aten::le.str(str a, str b) -> bool',
+    'aten::le.Tensor_out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)',
+    'aten::le.Tensor(Tensor self, Tensor other) -> Tensor',
+    'aten::le(Scalar a, Scalar b) -> bool',
+    'aten::log10.complex(complex a) -> complex',
+    'aten::log10.float(float a) -> float',
+    'aten::log10.int(int a) -> float',
+    'aten::log10.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)',
+    'aten::log10.Scalar(Scalar a) -> Scalar',
+    'aten::log10(Tensor self) -> Tensor',
+    'aten::lt_.Scalar(Tensor(a!) self, Scalar other) -> Tensor(a!)',
+    'aten::lt_.Tensor(Tensor(a!) self, Tensor other) -> Tensor(a!)',
+    'aten::lt.float_int(float a, int b) -> bool',
+    'aten::lt.float(float a, float b) -> bool',
+    'aten::lt.int_float(int a, float b) -> bool',
+    'aten::lt.int(int a, int b) -> bool',
+    'aten::lt.Scalar_out(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!)',
+    'aten::lt.Scalar(Tensor self, Scalar other) -> Tensor',
+    'aten::lt.str(str a, str b) -> bool',
+    'aten::lt.Tensor_out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)',
+    'aten::lt.Tensor(Tensor self, Tensor other) -> Tensor',
+    'aten::lt(Scalar a, Scalar b) -> bool',
+    'aten::remainder.float_int(float a, int b) -> float',
+    'aten::remainder.float(float a, float b) -> float',
+    'aten::remainder.int_float(int a, float b) -> float',
+    'aten::remainder.int(int a, int b) -> int',
+    'aten::remainder.Scalar_out(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!)',
+    'aten::remainder.Scalar_Tensor_out(Scalar self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)',
+    'aten::remainder.Scalar_Tensor(Scalar self, Tensor other) -> Tensor',
+    'aten::remainder.Scalar(Tensor self, Scalar other) -> Tensor',
+    'aten::remainder.Tensor_out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)',
+    'aten::remainder.Tensor(Tensor self, Tensor other) -> Tensor',
+    'aten::remainder(Scalar a, Scalar b) -> Scalar',
+    'aten::replace(str self, str old, str new, int max=-1) -> str',
     'aten::searchsorted.Scalar_out(Tensor sorted_sequence, Scalar self, *, bool out_int32=False, bool right=False, str? side=None, Tensor? sorter=None, Tensor(a!) out) -> Tensor(a!)',  # pylint: disable=line-too-long
+    'aten::searchsorted.Scalar(Tensor sorted_sequence, Scalar self, *, bool out_int32=False, bool right=False, str? side=None, Tensor? sorter=None) -> Tensor',  # pylint: disable=line-too-long
+    'aten::searchsorted.Tensor_out(Tensor sorted_sequence, Tensor self, *, bool out_int32=False, bool right=False, str? side=None, Tensor? sorter=None, Tensor(a!) out) -> Tensor(a!)',  # pylint: disable=line-too-long
+    'aten::searchsorted.Tensor(Tensor sorted_sequence, Tensor self, *, bool out_int32=False, bool right=False, str? side=None, Tensor? sorter=None) -> Tensor',  # pylint: disable=line-too-long
+    'aten::sqrt.complex(complex a) -> complex',
+    'aten::sqrt.float(float a) -> float',
+    'aten::sqrt.int(int a) -> float',
+    'aten::sqrt.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)',
+    'aten::sqrt.Scalar(Scalar a) -> Scalar',
+    'aten::sqrt(Tensor self) -> Tensor',
+    'aten::values.bool(Dict(bool, t) self) -> t[](*)',
+    'aten::values.complex(Dict(complex, t) self) -> t[](*)',
+    'aten::values.float(Dict(float, t) self) -> t[](*)',
+    'aten::values.int(Dict(int, t) self) -> t[](*)',
+    'aten::values.str(Dict(str, t) self) -> t[](*)',
+    'aten::values.Tensor(Dict(Tensor, t) self) -> t[](*)',
+    'aten::values(Tensor(a) self) -> Tensor(a)',
+    'prim::abs.complex(complex a) -> float',
+    'prim::abs.float(float a) -> float',
+    'prim::abs.int(int a) -> int',
+    'prim::abs.Scalar(Scalar a) -> Scalar',
+    'prim::abs(Tensor x) -> Tensor',
+    'prim::device(Tensor a) -> Device',
+    'prim::is_cpu(Tensor a) -> bool',
+    'prim::is_cuda(Tensor a) -> bool',
+    'prim::is_ipu(Tensor a) -> bool',
+    'prim::is_maia(Tensor a) -> bool',
+    'prim::is_meta(Tensor a) -> bool',
+    'prim::is_mkldnn(Tensor a) -> bool',
+    'prim::is_mps(Tensor a) -> bool',
+    'prim::is_mtia(Tensor a) -> bool',
+    'prim::is_nested(Tensor a) -> bool',
+    'prim::is_quantized(Tensor a) -> bool',
+    'prim::is_sparse_csr(Tensor a) -> bool',
+    'prim::is_sparse(Tensor a) -> bool',
+    'prim::is_vulkan(Tensor a) -> bool',
+    'prim::is_xla(Tensor a) -> bool',
+    'prim::is_xpu(Tensor a) -> bool',
+    'prim::itemsize(Tensor a) -> int',
+    'prim::layout(Tensor a) -> Layout',
+    'prim::max.bool_list(bool[] l, bool[] r) -> bool[]',
+    'prim::max.float_int(float a, int b) -> float',
+    'prim::max.float_list(float[] l, float[] r) -> float[]',
+    'prim::max.float(float a, float b) -> float',
+    'prim::max.int_float(int a, float b) -> float',
+    'prim::max.int_list(int[] l, int[] r) -> int[]',
+    'prim::max.int(int a, int b) -> int',
+    'prim::max.self_bool(bool[] self) -> bool',
+    'prim::max.self_float(float[] self) -> float',
+    'prim::max.self_int(int[] self) -> int',
+    'prim::max(Scalar a, Scalar b) -> Scalar',
+    'prim::min.bool_list(bool[] l, bool[] r) -> bool[]',
+    'prim::min.float_int(float a, int b) -> float',
+    'prim::min.float_list(float[] l, float[] r) -> float[]',
+    'prim::min.float(float a, float b) -> float',
+    'prim::min.int_float(int a, float b) -> float',
+    'prim::min.int_list(int[] l, int[] r) -> int[]',
+    'prim::min.int(int a, int b) -> int',
+    'prim::min.self_bool(bool[] self) -> bool',
+    'prim::min.self_float(float[] self) -> float',
+    'prim::min.self_int(int[] self) -> int',
+    'prim::min(Scalar a, Scalar b) -> Scalar',
 ]
 
 def _parse_schemas():
@@ -99,7 +305,6 @@ def _parse_schemas():
     return schemas
 
 def _filter_schemas(schemas, types):
-
     keys = set(map(lambda _: _.split('.')[0], types.keys()))
     filtered_schemas = set()
     for schema in schemas.values():
@@ -162,23 +367,34 @@ def _check_types(types, schemas):
         'aten::arange.start_out_',
         'aten::classes._nnapi.Compilation',
         'aten::fft',
-        'aten::gt.float_int',
-        'aten::gt.float',
-        'aten::gt.int_float',
-        'aten::gt.int',
-        'aten::le.float_int',
-        'aten::le.float',
-        'aten::le.int_float',
-        'aten::le.int',
+        'aten::floor.float',
+        'aten::floor.int',
+        'aten::floor.Scalar',
+        'aten::floordiv.float_int',
+        'aten::floordiv.float',
+        'aten::floordiv.int_float',
+        'aten::floordiv.int',
+        'aten::floordiv.Scalar',
+        'aten::grid_sampler.legacy',
+        'aten::mul.float_int',
+        'aten::mul.int_float',
+        'aten::mul.int',
         'aten::mul.ScalarT',
-        'aten::remainder.float32',
-        'aten::remainder.int',
+        'aten::mul',
+        'aten::ne.float',
+        'aten::ne.int',
+        'aten::ne.str',
+        'aten::neg.complex',
+        'aten::neg.float',
+        'aten::neg.int',
+        'aten::neg.Scalar',
         'aten::sub.float',
         'aten::sub.int',
         'aten::sub.str',
         'aten::tensor.bool',
         'aten::tensor.float',
-        'aten::tensor.int'
+        'aten::tensor.int',
+        'prim::shape',
     ]
     for key in known_keys:
         types.pop(key)