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tensorflow/c/eager/c_api_experimental_test.cc
TFE_TensorHandle* hcpu = TestMatrixTensorHandle(ctx); const char* device_type = TFE_TensorHandleDeviceType(hcpu, status.get()); ASSERT_EQ(TF_OK, TF_GetCode(status.get())) << TF_Message(status.get()); ASSERT_TRUE(absl::StrContains(device_type, "CPU")) << device_type; int device_id = TFE_TensorHandleDeviceID(hcpu, status.get());
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Aug 03 03:14:26 GMT 2023 - 31.5K bytes - Viewed (1) -
tensorflow/c/eager/dlpack.cc
owner->reference.Unref(); delete owner; } // Converts TF_DATAType to DLPack data type. DLDataType GetDlDataType(TF_DataType data_type, TF_Status* status) { DLDataType dtype; dtype.lanes = 1; dtype.bits = TF_DataTypeSize(data_type) * 8; switch (data_type) { case TF_DataType::TF_BOOL: dtype.code = DLDataTypeCode::kDLBool; break; case TF_DataType::TF_HALF: case TF_DataType::TF_FLOAT:
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 12.8K bytes - Viewed (0) -
tensorflow/c/c_test_util.cc
} return found_dtype && found_shape; } bool IsScalarConst(const tensorflow::NodeDef& node_def, int v) { if (node_def.op() != "Const" || node_def.name() != "scalar") { return false; } bool found_dtype = false; bool found_value = false; for (const auto& attr : node_def.attr()) { if (attr.first == "dtype") { if (attr.second.type() == tensorflow::DT_INT32) { found_dtype = true;
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Oct 15 03:16:52 GMT 2021 - 17.8K bytes - Viewed (2) -
tensorflow/c/eager/c_api.h
TF_Status* status); // A handle to a tensor on a device. // // Like a TF_Tensor, a TFE_TensorHandle refers to a tensor with a value, shape, // type etc. Unlike a TF_Tensor, a TFE_TensorHandle may refer to such tensors // placed in the memory of different devices or remote address spaces. typedef struct TFE_TensorHandle TFE_TensorHandle;
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Apr 27 21:07:00 GMT 2023 - 22.8K bytes - Viewed (1) -
tensorflow/c/eager/custom_device_test.cc
TFE_NewOp(context.get(), "VarHandleOp", status.get()), TFE_DeleteOp); ASSERT_TRUE(TF_GetCode(status.get()) == TF_OK) << TF_Message(status.get()); TFE_OpSetAttrType(op.get(), "dtype", TF_FLOAT); TFE_OpSetAttrShape(op.get(), "shape", {}, 0, status.get()); TFE_OpSetAttrString(op.get(), "container", "", 0); TFE_OpSetAttrString(op.get(), "shared_name", "", 0);
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Aug 27 23:39:24 GMT 2020 - 18.4K bytes - Viewed (0) -
tensorflow/c/eager/gradients.cc
gtl::ArraySlice<AbstractTensorHandle*> gradient_tensors) const override; // Calls the passed-in backward function. // op_type is the op's name provided in RecordOperation. Status CallBackwardFunction( const string& op_type, GradientFunction* gradient_function, const std::vector<int64_t>& unneeded_gradients, gtl::ArraySlice<AbstractTensorHandle*> output_gradients,
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 19.3K bytes - Viewed (0) -
tensorflow/c/eager/c_api_experimental.h
// Summarizes the value of this tensor. The caller takes ownership of the // returned buffer. If `status` is not TF_OK, instead returns a null pointer. // // Does not include the shape and dtype of the tensor (which is generally // appended later), but should include any information specific to this custom // device which would be useful for debugging. //
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/eager/c_api.cc
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/c_api_unified_experimental_graph.cc
operation->SetOpName(absl::StrCat("_input_", inputs_.size()).c_str())); TF_RETURN_IF_ERROR(operation->SetAttrType("dtype", dtype)); if (!shape.unknown_rank()) { TF_RETURN_IF_ERROR(operation->SetAttrShape( "shape", reinterpret_cast<int64_t*>(shape.dim_sizes().data()), shape.dims())); } int num_outputs = 1; std::vector<AbstractTensorHandle*> outputs(num_outputs);
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) -
tensorflow/c/eager/c_api_test_util.cc
for (int i = 0; i < num_devices; ++i) { const string dev_type(TF_DeviceListType(devices, i, status.get())); CHECK_EQ(TF_GetCode(status.get()), TF_OK) << TF_Message(status.get()); const string dev_name(TF_DeviceListName(devices, i, status.get())); CHECK_EQ(TF_GetCode(status.get()), TF_OK) << TF_Message(status.get()); if (dev_type == device_type) { *device_name = dev_name;
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)