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Results 1 - 10 of 486 for Device (0.16 sec)
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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 30 12:39:09 GMT 2024 - Last Modified: Thu Apr 27 22:09:57 GMT 2023 - 6.7K bytes - Viewed (0) -
tensorflow/c/experimental/next_pluggable_device/c_api.h
// C API for device. The API is under active development and eventually // should allow registering a plugin device with TensorFlow. #ifdef __cplusplus extern "C" { #endif // TF_Device is a C wrapper to the C++ TF Device class. This is to be passed // through TF_OpKernelContext, and is opaque to plugin. typedef struct TF_Device TF_Device; typedef struct TF_VariableInfo TF_VariableInfo;
C - Registered: Tue Feb 27 12:39:08 GMT 2024 - Last Modified: Wed Dec 20 20:01:06 GMT 2023 - 7.2K bytes - Viewed (0) -
tensorflow/c/eager/abstract_operation.h
// returned by DeviceName should be "/device:GPU:*" until a particular GPU is // chosen for the operation by the device placement logic in the // executor. After that, the value returned by DeviceName will be a full // device name such as "/job:localhost/replica:0/task:0/device:GPU:1". virtual const string& DeviceName() const = 0; // Sets the operation device name. //
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Jul 14 16:20:41 GMT 2021 - 6.8K bytes - Viewed (0) -
tensorflow/c/eager/dlpack_test.cc
ASSERT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status); const DLTensor* dltensor_out = &dlm_out->dl_tensor; EXPECT_EQ(dltensor_out->device.device_type, dltensor_in->device.device_type); EXPECT_EQ(dltensor_out->device.device_id, dltensor_in->device.device_id); EXPECT_EQ(dltensor_out->ndim, dltensor_in->ndim); EXPECT_EQ(dltensor_out->dtype.code, dltensor_in->dtype.code);
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Jun 30 03:04:46 GMT 2023 - 4.4K 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) -
internal/mountinfo/mountinfo_linux.go
// - mount.Path doesn't match (means cross-device mount), should error out. if mount.Path != path { crossMounts = append(crossMounts, mount) } } } msg := `Cross-device mounts detected on path (%s) at following locations %s. Export path should not have any sub-mounts, refusing to start.` if len(crossMounts) > 0 { // if paths didn't match then we do have cross-device mount. return fmt.Errorf(msg, path, crossMounts)
Go - Registered: Sun May 05 19:28:20 GMT 2024 - Last Modified: Sun Jan 02 17:15:06 GMT 2022 - 4.7K bytes - Viewed (0) -
tensorflow/c/eager/parallel_device/BUILD
# tensorflow/python:_pywrap_parallel_device. filegroup( name = "lib_headers", srcs = ["parallel_device_lib.h"], ) filegroup( name = "lib_sources", srcs = ["parallel_device_lib.cc"], ) filegroup( name = "device_headers", srcs = ["parallel_device.h"], ) filegroup( name = "device_sources", srcs = ["parallel_device.cc"], ) filegroup( name = "headers",
Plain Text - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 01 20:19:06 GMT 2024 - 4.8K bytes - Viewed (0) -
tensorflow/c/eager/immediate_execution_tensor_handle.cc
} Status s; const char* device_name = DeviceName(&s); if (!s.ok()) { device_name = "<error fetching device name>"; } return absl::StrCat("TensorHandle(", value_string, ", shape=", shape_string, ", dtype=", DataType_Name(DataType()), ", device=\"", device_name, "\")"); } Status ImmediateExecutionTensorHandle::SummarizeValue(
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 2.1K bytes - Viewed (0) -
tensorflow/c/eager/c_api_test_util.h
// `send_device`, `recv_device`, and `send_device_incarnation` set. TFE_Op* SendOp(TFE_Context* ctx, TFE_TensorHandle* in, const std::string& op_name, const std::string& send_device, const std::string& recv_device, tensorflow::uint64 send_device_incarnation); // Return a RecvOp op `op_name` with the attributes `send_device`,
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Jul 17 23:43:59 GMT 2023 - 7.7K bytes - Viewed (0) -
tensorflow/c/experimental/next_pluggable_device/tensor_pjrt_buffer_util.cc
const DeviceType& device_type) { TF_ASSIGN_OR_RETURN(tsl::StatusOr<xla::PjRtClient*> pjrt_client, tensorflow::GetPjRtClient(device_type)); auto* pjrt_c_api_client = dynamic_cast<xla::PjRtCApiClient*>(*pjrt_client); if (pjrt_c_api_client == nullptr) { return absl::InternalError(absl::StrCat("PjRtClient for ", device_type.type_string(),
C++ - Registered: Tue Feb 27 12:39:08 GMT 2024 - Last Modified: Mon Oct 30 19:20:20 GMT 2023 - 3.7K bytes - Viewed (0)