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tensorflow/c/eager/c_api_experimental.h
// Struct to be filled in to define a custom device tensor handle. Fields are // required except where indicated. typedef struct TFE_CustomDeviceTensorHandleMethods { int version = TFE_CUSTOM_DEVICE_VERSION; // Computes the rank of the tensor handle. // // Shapes are specified via callbacks because retrieving the shape of a tensor
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Feb 21 22:37:46 GMT 2024 - 39.5K bytes - Viewed (0) -
tensorflow/c/BUILD
Plain Text - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Mar 27 18:00:18 GMT 2024 - 30.3K bytes - Viewed (0) -
tensorflow/c/eager/c_api.cc
->DevicePointer(); } // TODO(b/175427838): It would be nice to be able to use tensorflow::isa here. if (!tensorflow::TensorHandle::classof(unwrapped_handle)) { status->status = tensorflow::errors::InvalidArgument("Invalid handle"); return nullptr; } tensorflow::TensorHandle* handle = tensorflow::TensorHandleFromInterface(unwrapped_handle);
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Mar 12 20:00:09 GMT 2024 - 43.9K bytes - Viewed (2) -
tensorflow/c/eager/BUILD
], }), ) cc_library( name = "immediate_execution_tensor_handle", srcs = ["immediate_execution_tensor_handle.cc"], hdrs = ["immediate_execution_tensor_handle.h"], visibility = [ "//tensorflow:internal", ], deps = [ ":abstract_tensor_handle", "//tensorflow/c:tensor_interface", "//tensorflow/core:framework",
Plain Text - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Apr 11 23:52:39 GMT 2024 - 33.3K bytes - Viewed (0) -
tensorflow/c/eager/c_api_test_util.cc
if (TF_GetCode(status) != TF_OK) return nullptr; TFE_TensorHandle* var_handle = nullptr; int num_retvals = 1; TFE_Execute(op, &var_handle, &num_retvals, status); if (TF_GetCode(status) != TF_OK) return nullptr; TFE_DeleteOp(op); if (TF_GetCode(status) != TF_OK) return nullptr; CHECK_EQ(1, num_retvals); TF_DeleteStatus(status); return var_handle; } TFE_TensorHandle* CreateVariable(TFE_Context* ctx, float value,
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Feb 21 22:37:46 GMT 2024 - 23.5K bytes - Viewed (2) -
tensorflow/c/eager/c_api_remote_test_util.cc
ASSERT_EQ(TF_GetCode(status), TF_OK) << TF_Message(status); TFE_TensorHandle* packed_handle = nullptr; if (has_packed_input) { int num_replicas = 1; std::vector<TFE_TensorHandle*> packed_handles = {h1_task2}; packed_handle = TFE_CreatePackedTensorHandle(ctx, packed_handles.data(), &num_replicas, status);
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Dec 11 22:56:03 GMT 2020 - 9.1K bytes - Viewed (0) -
tensorflow/c/eager/immediate_execution_context.h
MemoryReleaser memory_releaser, void* memory_releaser_arg) = 0; // Create a handle to wrap and manage a Tensor virtual ImmediateExecutionTensorHandle* CreateLocalHandle( AbstractTensorInterface* t) = 0; // Copy the handle to another device. virtual ImmediateExecutionTensorHandle* CopyTensorHandleToDevice( ImmediateExecutionTensorHandle* handle, const char* device_name, Status* status) = 0;
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Jul 06 08:34:00 GMT 2023 - 12.3K bytes - Viewed (0) -
tensorflow/c/eager/c_api_experimental.cc
tensorflow::ImmediateExecutionTensorHandle* unwrapped_handle = tensorflow::unwrap(handles[i]); if (tensorflow::CustomDeviceTensorHandle::classof(unwrapped_handle)) { // One of the inputs we're trying to pack is on a custom device. We'll let // the first custom device we see handle all of the packing. auto* custom_device_handle = tensorflow::down_cast<tensorflow::CustomDeviceTensorHandle*>(
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Apr 11 23:52:39 GMT 2024 - 35.9K bytes - Viewed (3) -
tensorflow/c/eager/unified_api_testutil.cc
tracing::TracingTensorHandle* handle = nullptr; for (auto input : inputs) { PartialTensorShape shape; TF_RETURN_IF_ERROR(input->Shape(&shape)); TF_RETURN_IF_ERROR(dyn_cast<tracing::TracingContext>(ctx)->AddParameter( input->DataType(), shape, &handle)); params->emplace_back(handle); } return absl::OkStatus(); }
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Feb 27 13:57:45 GMT 2024 - 5.7K bytes - Viewed (0) -
tensorflow/c/eager/gradients.h
class TapeTensor { public: explicit TapeTensor(AbstractTensorHandle* handle); TapeTensor(const TapeTensor& other); ~TapeTensor(); int64_t GetID() const; tensorflow::DataType GetDType() const; AbstractTensorHandle* ZerosLike() const; AbstractTensorHandle* GetHandle() const; private: AbstractTensorHandle* handle_; }; // A tracing/immediate-execution agnostic tape. //
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Sep 26 10:27:05 GMT 2022 - 6.9K bytes - Viewed (0)