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tensorflow/c/eager/custom_device_testutil.h
limitations under the License. ==============================================================================*/ #ifndef TENSORFLOW_C_EAGER_CUSTOM_DEVICE_TESTUTIL_H_ #define TENSORFLOW_C_EAGER_CUSTOM_DEVICE_TESTUTIL_H_ // A simple logging device to test custom device registration. #include <memory> #include "tensorflow/c/c_api.h" #include "tensorflow/c/eager/c_api.h" #include "tensorflow/c/eager/c_api_experimental.h"
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tensorflow/c/eager/parallel_device/BUILD
srcs = ["parallel_device_lib.cc"], ) filegroup( name = "device_headers", srcs = ["parallel_device.h"], ) filegroup( name = "device_sources", srcs = ["parallel_device.cc"], ) filegroup( name = "headers", srcs = [ ":device_headers", ":lib_headers", ], visibility = ["//tensorflow/python:__pkg__"], ) filegroup( name = "sources", srcs = [
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tensorflow/c/eager/c_api_experimental_test.cc
// Remote device on `worker2`. const char remote_device[] = "/job:localhost/replica:0/task:2/device:CPU:0"; // `ctx_0`, `ctx_1` contains `remote_device`. { const std::vector<std::string>& device_names = ListDeviceNames(ctx_0); ASSERT_TRUE(std::find(device_names.begin(), device_names.end(), remote_device) != device_names.end()); } {
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tensorflow/c/eager/c_api_test.cc
// Remote device on `worker1`. const char remote_device[] = "/job:localhost/replica:0/task:1/device:CPU:0"; // `ctx_0`, `ctx_1`, `ctx_2` contains `remote_device`. { const std::vector<std::string>& device_names = ListDeviceNames(ctx_0); ASSERT_TRUE(std::find(device_names.begin(), device_names.end(), remote_device) != device_names.end()); } {
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Aug 03 20:50:20 GMT 2023 - 94.6K bytes - Viewed (1) -
tensorflow/c/experimental/grappler/grappler_internal.h
}; using OwnedTFBuffer = std::unique_ptr<TF_Buffer, TFBufferDeleter>; class CGraphOptimizer : public CustomGraphOptimizer { public: explicit CGraphOptimizer(TP_Optimizer optimizer, const char* device_type) : optimizer_(optimizer), device_type_(device_type) { if (optimizer.create_func != nullptr) { c_optimizer_ = (*optimizer_.create_func)(); } else { c_optimizer_ = nullptr; } }
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tensorflow/c/experimental/next_pluggable_device/tensor_pjrt_buffer_util.h
Tensor* tensor); absl::StatusOr<xla::PjRtCApiClient*> GetPjRtCApiClient( const DeviceType& device_type); absl::Status ResetPjRtClient(const DeviceType& device_type); } // namespace tensorflow
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tensorflow/c/eager/immediate_execution_tensor_handle.h
// Returns the device which created the handle. virtual const char* DeviceName(Status* status) const = 0; // Returns the device where the tensor was placed. virtual const char* BackingDeviceName(Status* status) const = 0; // Returns the device type which created the handle. virtual const char* DeviceType(Status* status) const = 0; // Returns the device ID which created the handle.
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tensorflow/c/c_api_internal.h
// Set whether to propagate assigned device information when constructing a new // Graph from a GraphDef. By default assigned device information is not copied // and is re-computed by the runtime. inline void TF_ImportGraphDefOptionsSetPropagateDeviceSpec( TF_ImportGraphDefOptions* opts, unsigned char propagate_device_spec) { opts->opts.propagate_device_spec = propagate_device_spec; } } // end namespace tensorflow
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tensorflow/c/c_api_test.cc
CHECK_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s); LOG(INFO) << "Device " << i << " has name " << device_name << ", type " << device_type; if (string(device_type) == DEVICE_GPU) { return device_name; } } // No GPU device found. return ""; } string GPUDeviceName() { std::unique_ptr<TF_Status, decltype(&TF_DeleteStatus)> status(
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models.BUILD
package(default_visibility = ["//visibility:public"]) licenses(["notice"]) # Apache 2.0 filegroup( name = "model_files", srcs = glob( [ "**/*", ], exclude = [ "**/BUILD", "**/WORKSPACE", "**/LICENSE", "**/*.zip", ], ),
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