Bug fix. ReduceL1, ReduceL2, ReduceLogSum, ReduceLogSumExp, ReduceMax…

…, ReduceMean, ReduceMin, ReduceProd, ReduceSum, ReduceSumSquare

onnx2tf/ops/ReduceL1.py

@@ -162,7 +162,7 @@ def make_node(
                 del onnx_tensor_infos_for_validation
 
     if not disable_strict_mode:
-        if onnx_tensor_infos is not None and validation_data is not None:
+        if onnx_tensor_infos is not None and validation_data is not None and axes is not None:
             # Shape Unmatch Error Mitigation Measures
             # Search for and transpose shapes that do not cause shape unmatch errors
             min_abs_err = sys.maxsize

onnx2tf/ops/ReduceL2.py

@@ -162,7 +162,7 @@ def make_node(
                 del onnx_tensor_infos_for_validation
 
     if not disable_strict_mode:
-        if onnx_tensor_infos is not None and validation_data is not None:
+        if onnx_tensor_infos is not None and validation_data is not None and axes is not None:
             # Shape Unmatch Error Mitigation Measures
             # Search for and transpose shapes that do not cause shape unmatch errors
             min_abs_err = sys.maxsize

onnx2tf/ops/ReduceLogSum.py

@@ -162,7 +162,7 @@ def make_node(
                 del onnx_tensor_infos_for_validation
 
     if not disable_strict_mode:
-        if onnx_tensor_infos is not None and validation_data is not None:
+        if onnx_tensor_infos is not None and validation_data is not None and axes is not None:
             # Shape Unmatch Error Mitigation Measures
             # Search for and transpose shapes that do not cause shape unmatch errors
             min_abs_err = sys.maxsize

onnx2tf/ops/ReduceLogSumExp.py

@@ -162,7 +162,7 @@ def make_node(
                 del onnx_tensor_infos_for_validation
 
     if not disable_strict_mode:
-        if onnx_tensor_infos is not None and validation_data is not None:
+        if onnx_tensor_infos is not None and validation_data is not None and axes is not None:
             # Shape Unmatch Error Mitigation Measures
             # Search for and transpose shapes that do not cause shape unmatch errors
             min_abs_err = sys.maxsize

onnx2tf/ops/ReduceMax.py

@@ -169,7 +169,7 @@ def make_node(
                 del onnx_tensor_infos_for_validation
 
     if not disable_strict_mode:
-        if onnx_tensor_infos is not None and validation_data is not None:
+        if onnx_tensor_infos is not None and validation_data is not None and axes is not None:
             # Shape Unmatch Error Mitigation Measures
             # Search for and transpose shapes that do not cause shape unmatch errors
             min_abs_err = sys.maxsize

onnx2tf/ops/ReduceMean.py

@@ -163,7 +163,7 @@ def make_node(
                 del onnx_tensor_infos_for_validation
 
     if not disable_strict_mode:
-        if onnx_tensor_infos is not None and validation_data is not None:
+        if onnx_tensor_infos is not None and validation_data is not None and axes is not None:
             # Shape Unmatch Error Mitigation Measures
             # Search for and transpose shapes that do not cause shape unmatch errors
             min_abs_err = sys.maxsize

onnx2tf/ops/ReduceMin.py

@@ -163,7 +163,7 @@ def make_node(
                 del onnx_tensor_infos_for_validation
 
     if not disable_strict_mode:
-        if onnx_tensor_infos is not None and validation_data is not None:
+        if onnx_tensor_infos is not None and validation_data is not None and axes is not None:
             # Shape Unmatch Error Mitigation Measures
             # Search for and transpose shapes that do not cause shape unmatch errors
             min_abs_err = sys.maxsize

onnx2tf/ops/ReduceProd.py

@@ -163,7 +163,7 @@ def make_node(
                 del onnx_tensor_infos_for_validation
 
     if not disable_strict_mode:
-        if onnx_tensor_infos is not None and validation_data is not None:
+        if onnx_tensor_infos is not None and validation_data is not None and axes is not None:
             # Shape Unmatch Error Mitigation Measures
             # Search for and transpose shapes that do not cause shape unmatch errors
             min_abs_err = sys.maxsize

onnx2tf/ops/ReduceSum.py

@@ -162,7 +162,7 @@ def make_node(
                 del onnx_tensor_infos_for_validation
 
     if not disable_strict_mode:
-        if onnx_tensor_infos is not None and validation_data is not None:
+        if onnx_tensor_infos is not None and validation_data is not None and axes is not None:
             # Shape Unmatch Error Mitigation Measures
             # Search for and transpose shapes that do not cause shape unmatch errors
             min_abs_err = sys.maxsize

onnx2tf/ops/ReduceSumSquare.py

@@ -163,7 +163,7 @@ def make_node(
                 del onnx_tensor_infos_for_validation
 
     if not disable_strict_mode:
-        if onnx_tensor_infos is not None and validation_data is not None:
+        if onnx_tensor_infos is not None and validation_data is not None and axes is not None:
             # Shape Unmatch Error Mitigation Measures
             # Search for and transpose shapes that do not cause shape unmatch errors
             min_abs_err = sys.maxsize

onnx2tf/ops/Reshape.py

@@ -264,7 +264,8 @@ def make_node(
         block_size = 1
         spase_to_depth_final_shape = []
         if not tf_layers_dict[graph_node_output.name].get('unnecessary_reshape', False):
-            if len(final_shape) == 6:
+            if (isinstance(final_shape, np.ndarray) or isinstance(final_shape, list)) \
+                and len(final_shape) == 6:
                 channel_size = final_shape[1] if isinstance(final_shape[1], int) else None
                 block_size = final_shape[3] if isinstance(final_shape[3], int) else None