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tensorflow/c/eager/gradients.cc
input_ids[i] = ToId(inputs[i]); input_dtypes[i] = inputs[i]->DataType(); } std::vector<TapeTensor> tape_tensors; tape_tensors.reserve(outputs.size()); for (auto t : outputs) { tape_tensors.push_back(TapeTensor(t)); } GradientTape::RecordOperation( op_name, tape_tensors, input_ids, input_dtypes, [gradient_function]() -> GradientFunction* { return gradient_function; },
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/experimental/grappler/grappler.cc
TF_RETURN_IF_ERROR(ValidateTPOptimizerConfigs(optimizer_configs)); CGraphOptimizerRegister( [=]() { return new CGraphOptimizer(optimizer, params.device_type); }, optimizer_configs, params.device_type); return absl::OkStatus(); } } // namespace grappler } // namespace tensorflow void TF_GetNodesToPreserveListSize(const TF_GrapplerItem* item, int* num_values,
C++ - Registered: Tue Feb 27 12:39:08 GMT 2024 - Last Modified: Wed Sep 06 19:12:29 GMT 2023 - 15K bytes - Viewed (1) -
tensorflow/c/experimental/next_pluggable_device/c_api.cc
tensorflow::DeviceType(device_type), std::move(*pjrt_client)); status->status = s; } void TF_ResetPjRtCClient(const char* device_type, TF_Status* status) { status->status = tensorflow::ResetPjRtClient(tensorflow::DeviceType(device_type)); } PJRT_Client* TF_GetPjRtCClient(const char* device_type, TF_Status* status) { absl::StatusOr<xla::PjRtCApiClient*> pjrt_c_api_client =
C++ - Registered: Tue Feb 27 12:39:08 GMT 2024 - Last Modified: Tue Jan 09 00:52:04 GMT 2024 - 13.9K bytes - Viewed (1) -
tensorflow/c/eager/c_api_distributed_test.cc
" attr {" " key: 'dtype'" " value {" " type: DT_FLOAT" " }" " }" " }" " node_def {" " name: 'read1'" " op: 'ReadVariableOp'" " input: 'var'" " device: '/job:localhost/replica:0/task:1/device:CPU:0'" " attr {" " key: 'dtype'" " value {"
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 23.5K bytes - Viewed (0) -
tensorflow/c/experimental/next_pluggable_device/tensor_pjrt_buffer_util_test.cc
std::vector<int32_t> data(1, 0); xla::Shape shape = xla::ShapeUtil::MakeShape(xla::S32, {1}); auto buffer = c_api_client->pjrt_c_client()->client->BufferFromHostBuffer( data.data(), shape.element_type(), shape.dimensions(), /*byte_strides=*/std::nullopt, xla::PjRtClient::HostBufferSemantics::kImmutableOnlyDuringCall, nullptr, c_api_client->pjrt_c_client()->client->addressable_devices()[0]);
C++ - Registered: Tue Feb 27 12:39:08 GMT 2024 - Last Modified: Mon Oct 30 19:20:20 GMT 2023 - 7.2K bytes - Viewed (0) -
tensorflow/c/experimental/grappler/grappler_test.cc
TF_SetStatus(status, TF_OK, ""); PopulateDefaultParam(params); params->device_type = "Device0"; }; auto plugin_init_1 = [](TP_OptimizerRegistrationParams* const params, TF_Status* const status) -> void { TF_SetStatus(status, TF_OK, ""); PopulateDefaultParam(params); params->device_type = "Device1"; }; TF_ASSERT_OK(InitGraphPlugin(plugin_init_0));
C++ - Registered: Tue Feb 27 12:39:08 GMT 2024 - Last Modified: Thu Apr 13 22:30:58 GMT 2023 - 11.6K bytes - Viewed (0) -
tensorflow/c/experimental/gradients/array_grad_test.cc
#include "tensorflow/c/eager/c_api_unified_experimental_internal.h" #include "tensorflow/c/eager/unified_api_testutil.h" #include "tensorflow/c/experimental/gradients/grad_test_helper.h" #include "tensorflow/c/experimental/gradients/tape/tape_context.h" #include "tensorflow/c/experimental/ops/array_ops.h" #include "tensorflow/c/tf_status_helper.h" #include "tensorflow/core/platform/tensor_float_32_utils.h" #include "tensorflow/core/platform/test.h"
C++ - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Wed Feb 28 13:53:47 GMT 2024 - 5K bytes - Viewed (0) -
tensorflow/c/eager/immediate_execution_tensor_handle.cc
const char* device_name = DeviceName(&s); if (!s.ok()) { device_name = "<error fetching device name>"; } return absl::StrCat("TensorHandle(", value_string, ", shape=", shape_string, ", dtype=", DataType_Name(DataType()), ", device=\"", device_name, "\")"); } Status ImmediateExecutionTensorHandle::SummarizeValue( std::string& summary) const { Status status;
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 2.1K bytes - Viewed (0) -
tensorflow/c/eager/abstract_tensor_handle.cc
shape_string = "<error computing shape>"; } else { shape_string = shape.DebugString(); } return absl::StrCat("TensorHandle(shape=", shape_string, ", dtype=", DataType_Name(DataType()), ", type=", FullType().DebugString(), ")"); } Status AbstractTensorHandle::TensorHandleStatus() const { // Tensor handles in current runtime don't carry error info and this method
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 1.4K bytes - Viewed (0) -
tensorflow/c/eager/parallel_device/parallel_device_lib.cc
} if (TFE_TensorHandleDataType(component.get()) != dtype) { TF_SetStatus(status, TF_INTERNAL, "Components of a ParallelTensor must all have " "the same dtype"); return nullptr; } } return std::unique_ptr<ParallelTensor>( new ParallelTensor(parallel_device, std::move(components), shape, dtype)); }
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)