"""Python wrappers around TensorFlow ops. This file is MACHINE GENERATED! Do not edit. """ import collections from tensorflow.python import pywrap_tfe as pywrap_tfe from tensorflow.python.eager import context as _context from tensorflow.python.eager import core as _core from tensorflow.python.eager import execute as _execute from tensorflow.python.framework import dtypes as _dtypes from tensorflow.python.framework import op_def_registry as _op_def_registry from tensorflow.python.framework import ops as _ops from tensorflow.python.framework import op_def_library as _op_def_library from tensorflow.python.util.deprecation import deprecated_endpoints from tensorflow.python.util import dispatch as _dispatch from tensorflow.python.util.tf_export import tf_export from typing import TypeVar def sync_device(name=None): r"""Synchronizes the device this op is run on. Only GPU ops are asynchrous in TensorFlow, and so this only has an effect when run on GPUs. On GPUs, this op synchronizes the GPU's compute stream. Args: name: A name for the operation (optional). Returns: The created Operation. """ _ctx = _context._context or _context.context() tld = _ctx._thread_local_data if tld.is_eager: try: _result = pywrap_tfe.TFE_Py_FastPathExecute( _ctx, "SyncDevice", name) return _result except _core._NotOkStatusException as e: _ops.raise_from_not_ok_status(e, name) except _core._FallbackException: pass try: return sync_device_eager_fallback( name=name, ctx=_ctx) except _core._SymbolicException: pass # Add nodes to the TensorFlow graph. # Add nodes to the TensorFlow graph. _, _, _op, _outputs = _op_def_library._apply_op_helper( "SyncDevice", name=name) return _op SyncDevice = tf_export("raw_ops.SyncDevice")(_ops.to_raw_op(sync_device)) def sync_device_eager_fallback(name, ctx): _inputs_flat = [] _attrs = None _result = _execute.execute(b"SyncDevice", 0, inputs=_inputs_flat, attrs=_attrs, ctx=ctx, name=name) _result = None return _result