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tensorflow/c/eager/parallel_device/parallel_device_remote_test.cc
const char* device_name = "/job:localhost/replica:0/task:0/device:CUSTOM:0"; std::array<const char*, 2> underlying_devices{first_device, second_device}; RegisterParallelDevice(context.get(), device_name, underlying_devices, status.get()); ASSERT_TRUE(TF_GetCode(status.get()) == TF_OK) << TF_Message(status.get());
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Apr 27 22:09:57 GMT 2023 - 6.7K bytes - Viewed (0) -
tensorflow/c/eager/parallel_device/parallel_device_lib_test.cc
ASSERT_TRUE(TF_GetCode(status.get()) == TF_OK) << TF_Message(status.get()); std::vector<std::string> devices{ "/job:localhost/replica:0/task:0/device:CPU:0", "/job:localhost/replica:0/task:0/device:CPU:1"}; ParallelDevice parallel_device(std::move(devices)); std::unique_ptr<TFE_Op, decltype(&TFE_DeleteOp)> handle_op( TFE_NewOp(context.get(), "VarHandleOp", status.get()), TFE_DeleteOp);
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/c_api_experimental.cc
} TF_Buffer* TF_CreateConfig(unsigned char enable_xla_compilation, unsigned char gpu_memory_allow_growth, unsigned int num_cpu_devices) { tensorflow::ConfigProto config; auto* optimizer_options = config.mutable_graph_options()->mutable_optimizer_options(); if (enable_xla_compilation) {
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 29.4K bytes - Viewed (0) -
tensorflow/c/eager/c_api_test.cc
TF_DeviceList* devices = TFE_ContextListDevices(ctx, status); EXPECT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status); TFE_DeleteContext(ctx); EXPECT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status); const int num_devices = TF_DeviceListCount(devices); EXPECT_GE(num_devices, 1) << "At least one CPU device should exist"; for (int i = 0; i < num_devices; ++i) {
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/eager/c_api_experimental_test.cc
float* m_float = static_cast<float*>(TF_TensorData(m_data)); TF_DeviceList* devices = TFE_ContextListDevices(ctx, status); CHECK_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status); int num_devices = TF_DeviceListCount(devices); for (int d = 0; d < num_devices; ++d) { const char* name = TF_DeviceListName(devices, d, status); CHECK_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
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/c_api_test.cc
TF_DeviceList* device_list = list.get(); CHECK_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s); const int num_devices = TF_DeviceListCount(device_list); LOG(INFO) << "There are " << num_devices << " devices."; for (int i = 0; i < num_devices; ++i) { const char* device_name = TF_DeviceListName(device_list, i, s); CHECK_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s);
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 96.9K bytes - Viewed (3) -
tensorflow/c/eager/custom_device_test.cc
ASSERT_TRUE(TF_GetCode(status.get()) == TF_OK) << TF_Message(status.get()); ASSERT_TRUE(executed); TFE_DeleteTensorHandle(retval); // Custom device: inputs in different custom devices fails. matmul.reset(MatMulOp(context.get(), hcustom0.get(), hcustom1.get())); num_retvals = 1; TFE_Execute(matmul.get(), &retval, &num_retvals, status.get()); ASSERT_NE(TF_OK, TF_GetCode(status.get()));
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/parallel_device/parallel_device_test.cc
TFE_ContextListDevices(context.get(), status.get()), TF_DeleteDeviceList); ASSERT_EQ(TF_GetCode(status.get()), TF_OK) << TF_Message(status.get()); bool has_tpu = false; for (int device_index = 0; device_index < TF_DeviceListCount(devices.get()); ++device_index) { std::string device_type = TF_DeviceListType(devices.get(), device_index, status.get());
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_lib.cc
} } ParallelDevice::ParallelDevice(const std::vector<std::string>& devices, bool is_async, int in_flight_nodes_limit) : underlying_devices_(devices), default_cancellation_manager_(absl::make_unique<CancellationManager>()) { device_threads_.reserve(devices.size()); for (int device_index = 0; device_index < devices.size(); ++device_index) { device_threads_.emplace_back(new DeviceThread(
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.cc
std::vector<std::string> underlying_devices_vector; underlying_devices_vector.reserve(num_underlying_devices); for (int device_index = 0; device_index < num_underlying_devices; ++device_index) { underlying_devices_vector.push_back(underlying_devices[device_index]); } std::unique_ptr<ParallelDevice> parallel_device( new ParallelDevice(underlying_devices_vector)); *device_info =
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)