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tensorflow/c/eager/parallel_device/parallel_device.cc
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 23 12:39:09 GMT 2024 - Last Modified: Wed Mar 29 22:05:31 GMT 2023 - 18.3K bytes - Viewed (0) -
tensorflow/c/eager/parallel_device/parallel_device_remote_test.cc
const char* first_device = "/job:worker/replica:0/task:1/device:CPU:0"; const char* second_device = "/job:worker/replica:0/task:2/device:CPU:0"; 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());
C++ - Registered: Tue Apr 23 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
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<ParallelTensor> float_tensors = parallel_device.ScalarsFromSequence<float>({10.0, 11.0}, context.get(),
C++ - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Thu Jul 08 23:47:35 GMT 2021 - 15.3K bytes - Viewed (0) -
tensorflow/c/eager/parallel_device/parallel_device_test.cc
const char* device_name = "/job:localhost/replica:0/task:0/device:CUSTOM:0"; const char* first_device_name = "/job:localhost/replica:0/task:0/device:CPU:0"; const char* second_device_name = "/job:localhost/replica:0/task:0/device:CPU:1"; std::array<const char*, 2> underlying_devices{first_device_name, second_device_name};
C++ - Registered: Tue Apr 23 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 23 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_lib.h
++device_index) { auto device_value = absl::make_unique<DataType>(); *device_value = values[device_index]; std::unique_ptr<TF_Tensor, decltype(&TF_DeleteTensor)> tensor( TF_NewTensor( datatype_enum, /*dims=*/nullptr, /*num_dims=*/0, device_value.release(), sizeof(DataType), [](void* data, size_t, void* arg) { delete reinterpret_cast<DataType*>(data); },
C - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Tue Apr 25 15:21:13 GMT 2023 - 12.9K bytes - Viewed (0) -
tensorflow/c/eager/parallel_device/parallel_device_testlib.cc
// Create and modify a variable placed on a parallel device which composes // `first_device` and `second_device`. void BasicTestsForTwoDevices(TFE_Context* context, const char* first_device, const char* second_device) { // Register the custom device std::unique_ptr<TF_Status, decltype(&TF_DeleteStatus)> status( TF_NewStatus(), TF_DeleteStatus);
C++ - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Tue Jun 15 15:44:44 GMT 2021 - 12.5K bytes - Viewed (0) -
tensorflow/c/eager/c_api_experimental.h
// // `device_name` must not name an existing physical or custom device. It must // follow the format: // // /job:<name>/replica:<replica>/task:<task>/device:<type>:<device_num> // // If the device is successfully registered, `status` is set to TF_OK. Otherwise // the device is not usable. In case of a bad status, `device.delete_device` is // still called on `device_info` (i.e. the caller does not retain ownership).
C - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Wed Feb 21 22:37:46 GMT 2024 - 39.5K bytes - Viewed (0) -
tensorflow/c/experimental/next_pluggable_device/tensor_pjrt_buffer_util_test.cc
DEVICE_CPU)))); } TEST(TensorPjRtBufferUtilTest, GetPjRtCApiClientIncorrectType) { TF_ASSERT_OK_AND_ASSIGN( auto pjrt_client, xla::GetTfrtCpuClient(/*asynchronous=*/true, /*cpu_device_count=*/1)); TF_ASSERT_OK(SetPjRtClientInTFGlobalResourceManager(DEVICE_CPU, std::move(pjrt_client)));
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/eager/c_api.h
// Controls how to act when we try to run an operation on a given device but // some input tensors are not on that device. // LINT.IfChange // Note: Keep in sync with internal copy of enum in eager/context.h. typedef enum TFE_ContextDevicePlacementPolicy { // Running operations with input tensors on the wrong device will fail. TFE_DEVICE_PLACEMENT_EXPLICIT = 0, // Copy the tensor to the right device but log a warning. TFE_DEVICE_PLACEMENT_WARN = 1,
C - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Thu Apr 27 21:07:00 GMT 2023 - 22.8K bytes - Viewed (1)