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tensorflow/c/eager/c_api_remote_test.cc
const char remote_device_name[] = "/job:localhost/replica:0/task:1/device:CPU:0"; auto* h0_task1 = TFE_TensorHandleCopyToDevice(h0_task0, ctx, remote_device_name, status); ASSERT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status); auto* h1_task1 = TFE_TensorHandleCopyToDevice(h1_task0, ctx, remote_device_name, status); ASSERT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Aug 12 00:14:22 GMT 2020 - 5.4K bytes - Viewed (0) -
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) {
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) -
internal/disk/stat_linux.go
info.Name = devName qst, err := bfs.SysBlockDeviceQueueStats(devName) if err != nil { // Mostly not found error // Check if there is a parent device: // e.g. if the mount is based on /dev/nvme0n1p1, let's calculate the // real device name (nvme0n1) to get its sysfs information parentDevPath, e := os.Readlink("/sys/class/block/" + devName) if e == nil {
Go - Registered: Sun May 05 19:28:20 GMT 2024 - Last Modified: Mon Feb 26 19:34:50 GMT 2024 - 4.8K 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/eager/c_api_experimental.cc
// One of the inputs we're trying to pack is on a custom device. We'll let // the first custom device we see handle all of the packing. auto* custom_device_handle = tensorflow::down_cast<tensorflow::CustomDeviceTensorHandle*>( unwrapped_handle); tensorflow::ImmediateExecutionTensorHandle* result; status->status = custom_device_handle->device()->Pack(
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Apr 11 23:52:39 GMT 2024 - 35.9K bytes - Viewed (3) -
tensorflow/api_template.__init__.py
if _os.path.exists(_plugin_dir): _ll.load_library(_plugin_dir) # Load Pluggable Device Library _ll.load_pluggable_device_library(_plugin_dir) if _os.getenv("TF_PLUGGABLE_DEVICE_LIBRARY_PATH", ""): _ll.load_pluggable_device_library( _os.getenv("TF_PLUGGABLE_DEVICE_LIBRARY_PATH") ) # Add Keras module aliases
Python - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Mar 05 06:27:59 GMT 2024 - 6.7K bytes - Viewed (3) -
android-test/README.md
Android Test ============ A gradle module for running Android instrumentation tests on a device or emulator. 1. Add an Emulator named `pixel5`, if you don't already have one ``` $ sdkmanager --install "system-images;android-29;google_apis;x86" $ echo "no" | avdmanager --verbose create avd --force --name "pixel5" --device "pixel" --package "system-images;android-29;google_apis;x86" --tag "google_apis" --abi "x86" ```
Plain Text - Registered: Fri May 03 11:42:14 GMT 2024 - Last Modified: Tue Feb 14 08:26:50 GMT 2023 - 2.5K bytes - Viewed (0) -
internal/mountinfo/mountinfo_linux_test.go
} // Failure case where we detected successfully cross device mounts. { absPaths := []string{"/path/to/1"} if err = checkCrossDevice(absPaths, mountsPath); err == nil { t.Fatal("Expected to fail, but found success") } mp := []mountInfo{ {"/dev/2", "/path/to/1/2", "type2", []string{"flags"}, "2", "2"}, }
Go - Registered: Sun May 05 19:28:20 GMT 2024 - Last Modified: Thu Jan 18 07:03:17 GMT 2024 - 7.3K bytes - Viewed (0) -
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
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Sat May 13 00:49:12 GMT 2023 - 7.6K bytes - Viewed (0) -
tensorflow/c/eager/c_api_internal.h
// c_api_experimental.h struct TFE_ContextOptions { TF_SessionOptions session_options; // true if async execution is enabled. bool async = false; TFE_ContextDevicePlacementPolicy device_placement_policy{ TFE_DEVICE_PLACEMENT_SILENT}; // If true, use TFRT backend bool use_tfrt = false; // Whether to run elementary eager ops wrapped in a call op. bool run_eager_op_as_function = false;
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Jan 18 19:26:34 GMT 2023 - 1.9K bytes - Viewed (0)