fix comments

pytorch · May 14, 2024 · b0198df · b0198df
1 parent 1f1eeeb
commit b0198df
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Showing 4 changed files with 8 additions and 22 deletions.
diff --git a/torch_xla/csrc/dl_convertor.cpp b/torch_xla/csrc/dl_convertor.cpp
@@ -6,6 +6,7 @@
 #include "torch_xla/csrc/aten_xla_bridge.h"
 #include "torch_xla/csrc/ops/device_data.h"
 #include "torch_xla/csrc/runtime/computation_client.h"
+#include "torch_xla/csrc/runtime/pjrt_computation_client.h"
 #include "torch_xla/csrc/runtime/debug_macros.h"
 #include "torch_xla/csrc/runtime/runtime.h"
 #include "torch_xla/csrc/runtime/tf_logging.h"
@@ -121,13 +122,9 @@ DLManagedTensor* toDLPack(const at::Tensor& input) {
       runtime::GetComputationClient()->GetPjRtBuffer(handle);
   XLA_CHECK(pjrt_buffer != nullptr) << "Could not get a valid pjrt_buffer";
 
-  if (pjrt_buffer->IsTuple()) {
-    XLA_ERROR() << "Unimplemented. BufferToDLPackManagedTensor is not "
-                   "implemented for tuple buffers.";
-  }
-  if (pjrt_buffer->has_dynamic_dimensions()) {
-    XLA_ERROR() << "Unimplemented. DynamicShape is not implemented in DLPack.";
-  }
+  XLA_CHECK(!pjrt_buffer->IsTuple()) << "Unimplemented. BufferToDLPackManagedTensor is not "
+  "implemented for tuple buffers.";
+  XLA_CHECK(!pjrt_buffer->has_dynamic_dimensions()) << "Unimplemented. DynamicShape is not implemented in DLPack.";
 
   auto pack = std::make_unique<DLPackTensor>();
   DLTensor& dt = pack->tensor.dl_tensor;
@@ -294,11 +291,8 @@ absl::StatusOr<std::vector<int64_t>> StridesToLayout(
 }
 
 at::Tensor fromDLPack(DLManagedTensor* dlmt) {
-  if (dlmt->dl_tensor.ndim < 0) {
-    XLA_ERROR()
-        << "Number of dimensions in DLManagedTensor must be nonnegative, got "
+  XLA_CHECK(dlmt->dl_tensor.ndim >= 0) << "Number of dimensions in DLManagedTensor must be nonnegative, got "
         << dlmt->dl_tensor.ndim;
-  }
   xla::PjRtDevice* device = DeviceForDLDevice(dlmt->dl_tensor.device).value();
   absl::Span<int64_t const> dimensions(
       const_cast<int64_t*>(dlmt->dl_tensor.shape), dlmt->dl_tensor.ndim);
@@ -333,7 +327,7 @@ at::Tensor fromDLPack(DLManagedTensor* dlmt) {
       << "pjrt buffer is null in " << __FUNCTION__;
 
   runtime::ComputationClient::DataPtr data =
-      runtime::GetComputationClient()->CreateData(
+      runtime::PjRtComputationClient::CreateData(
           runtime::GetComputationClient()->PjRtDeviceToString(device), shape,
           std::move(pjrt_buffer.value()));
 

diff --git a/torch_xla/csrc/runtime/computation_client.h b/torch_xla/csrc/runtime/computation_client.h
@@ -260,9 +260,6 @@ class ComputationClient {
       std::string device, xla::Shape shape,
       std::optional<xla::OpSharding> sharding = std::nullopt) = 0;
 
-  virtual DataPtr CreateData(std::string device, xla::Shape shape,
-                             std::shared_ptr<xla::PjRtBuffer> pjrt_buffer) = 0;
-
   // Returns data shards. We expect this to be called on PjRtShardedData to
   // retrieve the shards. If other data type is passed, it returns the input
   // wrapped inside a vector.

diff --git a/torch_xla/csrc/runtime/ifrt_computation_client.h b/torch_xla/csrc/runtime/ifrt_computation_client.h
@@ -33,11 +33,6 @@ class IfrtComputationClient : public ComputationClient {
       std::string device, xla::Shape shape,
       std::optional<xla::OpSharding> sharding = std::nullopt) override;
 
-  DataPtr CreateData(std::string device, xla::Shape shape,
-                     std::shared_ptr<xla::PjRtBuffer> pjrt_buffer) override {
-    XLA_ERROR() << __FUNCTION__ << " not implemented";
-  };
-
   std::vector<DataPtr> GetDataShards(DataPtr data) override;
 
   DataPtr GetDataShard(DataPtr data, size_t index) override;

diff --git a/torch_xla/csrc/runtime/pjrt_computation_client.h b/torch_xla/csrc/runtime/pjrt_computation_client.h
@@ -32,8 +32,8 @@ class PjRtComputationClient : public ComputationClient {
       std::string device, xla::Shape shape,
       std::optional<xla::OpSharding> sharding = std::nullopt) override;
 
-  DataPtr CreateData(std::string device, xla::Shape shape,
-                     std::shared_ptr<xla::PjRtBuffer> pjrt_buffer) override;
+  static DataPtr CreateData(std::string device, xla::Shape shape,
+                     std::shared_ptr<xla::PjRtBuffer> pjrt_buffer);
 
   std::vector<DataPtr> GetDataShards(DataPtr data) override;