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tensorflow/c/eager/parallel_device/parallel_device_remote_test.cc
EXPECT_EQ(TF_OK, TF_GetCode(status.get())) << TF_Message(status.get()); 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};
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/c_api_remote_test_util.cc
CHECK(!has_packed_input || func); tensorflow::ServerDef server_def = GetServerDef(3); // This server def has the task index set to 0. string serialized = server_def.SerializeAsString(); server_def.set_task_index(1); std::unique_ptr<tensorflow::GrpcServer> worker_server1; ASSERT_TRUE(tensorflow::GrpcServer::Create(
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Dec 11 22:56:03 GMT 2020 - 9.1K bytes - Viewed (0) -
tensorflow/c/eager/immediate_execution_distributed_manager.h
// tasks to initialize the eager context and TF server for multi-client // execution. virtual Status EnableCollectiveOps(const ServerDef& server_def) = 0; // Check if the remote task is alive. virtual Status CheckRemoteAlive(const std::string& remote_task_name, bool* is_alive) = 0; // Get pointer to the coordination service agent instance.
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Feb 21 22:37:46 GMT 2024 - 2.9K bytes - Viewed (0) -
tensorflow/c/eager/c_api_remote_test.cc
namespace { using ::tensorflow::string; void TestRemoteExecute(bool async) { tensorflow::ServerDef server_def = GetServerDef(2); // This server def has the task index set to 0. string serialized = server_def.SerializeAsString(); server_def.set_task_index(1); std::unique_ptr<tensorflow::GrpcServer> worker_server; ASSERT_TRUE(tensorflow::GrpcServer::Create(
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) -
.github/bot_config.yml
* It has an added advantage since you can you easily switch to different hardware accelerators (cpu, gpu, tpu) as per the task. * All you need is a good internet connection and you are all set. * Try to build TF from sources by changing CPU optimization flags. *Please let us know if this helps.* windows_comment: >
Others - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Tue Oct 17 11:48:07 GMT 2023 - 4K bytes - Viewed (0) -
tensorflow/c/eager/parallel_device/parallel_device.h
// on each underlying device. // // For example if `device_name` is // "/job:localhost/replica:0/task:0/device:CUSTOM:0" // and `underlying_devices` is // {"/job:localhost/replica:0/task:0/device:GPU:0", // "/job:localhost/replica:0/task:0/device:GPU:1"} // Then executing an operation on CUSTOM:0 will execute it on GPU:0 and GPU:1. //
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Jun 04 21:49:16 GMT 2020 - 2.9K bytes - Viewed (0) -
tensorflow/c/eager/abstract_operation.h
// 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. // // The given `name` must be parseable by DeviceNameUtils::ParseFullName, and
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/custom_device_testutil.cc
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"; device->strict_scope_placement = strict_scope_placement; TFE_RegisterCustomDevice(context, custom_device, name, device, status); }
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/c_api_test_util.h
int64_t init_timeout_in_ms); tensorflow::ServerDef ReplaceTaskInServerDef( const tensorflow::ServerDef& server_def, int task_index); void ReplaceTaskInServerDef(tensorflow::ServerDef* server_def, int task_index, const std::string& host, int port); std::vector<std::string> ListDeviceNames(TFE_Context* ctx);
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) -
CODE_OF_CONDUCT.md
If you are experiencing or witnessing conflict, we ask you to use the following escalation strategy to address the conflict: 1. Address the perceived conflict directly with those involved, preferably in a real-time medium.
Plain Text - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Fri Feb 05 18:43:16 GMT 2021 - 5.2K bytes - Viewed (0)