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tensorflow/c/eager/c_api_unified_experimental.cc
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 9K bytes - Viewed (0) -
tensorflow/c/eager/parallel_device/parallel_device_lib.cc
// Block until the previous `StartExecute` operation has executed. Forwards // the status from `TFE_Execute` and returns outputs if the status is OK. std::vector<TensorHandlePtr> Join(TF_Status* status); // Block until all Ops finished running on the thread. void AsyncWait(TF_Status* status); private: void Run(); void Execute(TFE_Context* context, const char* operation_name,
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/eager/parallel_device/parallel_device_testlib.cc
#include "tensorflow/c/c_api_experimental.h" #include "tensorflow/c/eager/c_api.h" #include "tensorflow/c/eager/c_api_experimental.h" #include "tensorflow/core/platform/test.h" // NOTE(allenl): These tests currently go through TFE_Execute and so are // integration testing rather than purely testing the parallel device. They // correspond fairly well to the implementation, but testing the C++ directly is // another option. namespace tensorflow {
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Jun 15 15:44:44 GMT 2021 - 12.5K bytes - Viewed (0) -
tensorflow/c/eager/custom_device_testutil.cc
custom_device.copy_tensor_from_device = &CopyTensorFromLoggingDevice; custom_device.delete_device = &DeleteLoggingDevice; custom_device.execute = &LoggingDeviceExecute; LoggingDevice* device = new LoggingDevice; device->arrived_flag = arrived_flag; device->executed_flag = executed_flag; device->device_name = name; device->underlying_device = "/job:localhost/replica:0/task:0/device:CPU:0";
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Mar 03 20:47:31 GMT 2021 - 8.3K bytes - Viewed (0) -
tensorflow/c/eager/parallel_device/parallel_device_lib_test.cc
parallel_device.Execute(context.get(), handle_inputs, "ReadVariableOp", TFE_OpGetAttrs(read_op.get()), /*expected_max_outputs=*/1, status.get()); ASSERT_FALSE(TF_GetCode(status.get()) == TF_OK); TF_SetStatus(status.get(), TF_OK, ""); // Check that ops still run successfully on the device. parallel_device.Execute(context.get(), std::vector<ParallelTensor*>(),
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/c_api_distributed_test.cc
// Test to ensure that a registered graph optimization pass is only executed // once (i.e., on the main function side) in running distributed functions. // This test creates a cluster with two workers, create a variable on the // second worker, and run a distributed function (VariableAddFunction) whose ops // span the local and remote workers. If the graph optimization pass is executed
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/eager/parallel_device/parallel_device_test.cc
#include "tensorflow/c/tf_status_internal.h" #include "tensorflow/core/lib/core/status_test_util.h" #include "tensorflow/core/platform/test.h" // NOTE(allenl): These tests currently go through TFE_Execute and so are // integration testing rather than purely testing the parallel device. They // correspond fairly well to the implementation, but testing the C++ directly is // another option. namespace tensorflow {
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Jul 08 23:47:35 GMT 2021 - 29.3K bytes - Viewed (1) -
tensorflow/c/eager/parallel_device/parallel_device.cc
} else { parallel_inputs.push_back(absl::get<ParallelTensor*>(input)); } } absl::optional<std::vector<std::unique_ptr<ParallelTensor>>> maybe_parallel_results( parallel_device.Execute(context, parallel_inputs, operation_name, attributes, expected_max_outputs, status)); if (!maybe_parallel_results.has_value()) return result;
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Mar 29 22:05:31 GMT 2023 - 18.3K bytes - Viewed (0) -
tensorflow/c/eager/c_api_cluster_test.cc
TFE_OpSetDevice(matmul, remote_device_name, status); EXPECT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status); TFE_TensorHandle* retvals[1]; int num_retvals = 1; TFE_Execute(matmul, &retvals[0], &num_retvals, status); EXPECT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status); auto* retval_task0 = TFE_TensorHandleCopyToDevice(retvals[0], ctx, local_device_name, status);
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Apr 14 10:03:59 GMT 2023 - 19.3K bytes - Viewed (0) -
tensorflow/c/eager/gradients_test.cc
GradientRegistry registry; s = RegisterGradients(®istry); ASSERT_EQ(errors::OK, s.code()) << s.message(); auto tape = std::make_unique<Tape>(/*persistent=*/false); s = Execute(check_numerics_op.get(), ctx.get(), absl::MakeSpan(outputs), &num_retvals, &forward_op, tape.get(), registry); ASSERT_EQ(errors::OK, s.code()) << s.message(); string read_message;
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 7K bytes - Viewed (0)