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tensorflow/c/eager/c_api_unified_experimental_graph.cc
std::vector<PartialTensorShape> shapes; shapes.reserve(num_values); for (int i = 0; i < num_values; ++i) { if (num_dims[i] < 0) { shapes.emplace_back(); } else { shapes.emplace_back(ArraySlice<int64_t>( reinterpret_cast<const int64_t*>(dims[i]), num_dims[i])); } } op_->node_builder.Attr(attr_name, shapes); return absl::OkStatus(); }
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Mar 12 20:00:09 GMT 2024 - 15.4K bytes - Viewed (1) -
LICENSE
"control" means (i) the power, direct or indirect, to cause the direction or management of such entity, whether by contract or otherwise, or (ii) ownership of fifty percent (50%) or more of the outstanding shares, or (iii) beneficial ownership of such entity. "You" (or "Your") shall mean an individual or Legal Entity exercising permissions granted by this License.
Plain Text - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Mon Nov 29 17:31:56 GMT 2021 - 13.3K bytes - Viewed (0) -
RELEASE.md
* C API gives access to inferred shapes with `TF_GraphGetTensorNumDims` and `TF_GraphGetTensorShape`. * Shape functions for core ops have moved to C++ via `REGISTER_OP(...).SetShapeFn(...)`. Python shape inference RegisterShape calls use the C++ shape functions with `common_shapes.call_cpp_shape_fn`. A future release will remove `RegisterShape` from python.
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tensorflow/c/c_api_experimental.h
TF_CAPI_EXPORT extern void TFE_InferShapes( TFE_Op* op, TF_ShapeAndTypeList* input_shapes, TF_Tensor** input_tensors, TF_ShapeAndTypeList* input_tensor_as_shapes, TF_ShapeAndTypeList** input_resource_shapes_and_types, TF_ShapeAndTypeList** output_shapes, TF_ShapeAndTypeList*** output_resource_shapes_and_types, TF_Status* status); TF_CAPI_EXPORT extern void TF_ImportGraphDefOptionsSetValidateColocationConstraints(
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Apr 27 21:07:00 GMT 2023 - 15.1K bytes - Viewed (0) -
tensorflow/c/c_api_experimental.cc
void TFE_InferShapes(TFE_Op* tfe_op, TF_ShapeAndTypeList* input_shapes, TF_Tensor** input_tensors, TF_ShapeAndTypeList* input_tensors_as_shapes, TF_ShapeAndTypeList** input_resource_shapes_and_types, TF_ShapeAndTypeList** output_shapes, TF_ShapeAndTypeList*** output_resource_shapes_and_types, TF_Status* status) {
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 29.4K bytes - Viewed (0) -
tensorflow/c/eager/parallel_device/parallel_device_lib_test.cc
/*expected_max_outputs=*/1, cancellation_manager); auto outputs = parallel_device.Join( /*expected_output_shapes=*/{PartialTensorShape({})}, status.get()); ASSERT_TRUE(TF_GetCode(status.get()) == TF_OK) << TF_Message(status.get()); const std::vector<std::unique_ptr<ParallelTensor>>& handles = *outputs;
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Jul 08 23:47:35 GMT 2021 - 15.3K bytes - Viewed (0) -
tensorflow/c/eager/tape.h
// Else, only when this is destructed. bool persistent_; }; // Describes a callback for special-cased and more efficient jvp computation. // // Could just be a simple typedef in ForwardAccumulator, but MSVC chokes on // that. template <typename Gradient> class ForwardFunction : public std::function<Status(const std::vector<Gradient*>&, std::vector<Gradient*>*, bool)> { public:
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Apr 02 12:40:29 GMT 2024 - 47.2K bytes - Viewed (1) -
tensorflow/c/eager/parallel_device/parallel_device_lib.h
// run and have results. If is_async=true it means that all of the // device-specific executors have scheduled the op. // // Accepts inferred shapes for outputs (`expected_output_shapes`), which if // fully defined will avoid querying the shapes of the underlying // TensorHandles when ParallelTensor::Shape is called. This allows async // computation to continue without blocking. //
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Apr 25 15:21:13 GMT 2023 - 12.9K bytes - Viewed (0) -
tensorflow/c/eager/parallel_device/parallel_device_lib.cc
TF_Status* status) const { std::vector<PartialTensorShape> expected_output_shapes(expected_max_outputs); StartExecute(context, inputs, operation_name, attributes, expected_max_outputs, *default_cancellation_manager_); auto result = Join(expected_output_shapes, status); if (TF_GetCode(status) != TF_OK) { std::unique_ptr<TF_Status, decltype(&TF_DeleteStatus)> await_status(
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Feb 09 07:47:20 GMT 2024 - 25.4K bytes - Viewed (1) -
tensorflow/c/c_api.h
// `proto` must point to an array of `proto_len` bytes representing a // binary-serialized TensorShapeProto. TF_CAPI_EXPORT extern void TF_SetAttrTensorShapeProto( TF_OperationDescription* desc, const char* attr_name, const void* proto, size_t proto_len, TF_Status* status); // `protos` and `proto_lens` must point to arrays of length `num_shapes`.
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Oct 26 21:08:15 GMT 2023 - 82.3K bytes - Viewed (3)