def device_policy(self):
# Only get the policy from the context if it has already been initialized
if self._context_handle is not None:
return pywrap_tensorflow.TFE_ContextGetDevicePlacementPolicy(
self._handle)
return self._device_policy
def __init__(self, dist, coord, replica_id, device_map,
variable_creator_fn, fn, args, kwargs):
super(_MirroredReplicaThread, self).__init__()
self.coord = coord
self.distribution = dist
self.device_map = device_map
self.replica_id = replica_id
self.variable_creator_fn = variable_creator_fn
# State needed to run and return the results of `fn`.
self.main_fn = fn
self.main_args = args
self.main_kwargs = kwargs
self.main_result = None
self.done = False
# State needed to run the next merge_call() (if any) requested via
# ReplicaContext.
self.merge_fn = None
self.merge_args = None
self.merge_kwargs = None
self.merge_result = None
self.captured_name_scope = None
self.captured_var_scope = None
# We use a thread.Event for the main thread to signal when this
# thread should start running (`should_run`), and another for
# this thread to transfer control back to the main thread
# (`has_paused`, either when it gets to a
# `get_replica_context().merge_call` or when `fn` returns). In
# either case the event starts cleared, is signaled by calling
# set(). The receiving thread waits for the signal by calling
# wait() and then immediately clearing the event using clear().
self.should_run = threading.Event()
self.has_paused = threading.Event()
# These fields have to do with inheriting various contexts from the
# parent thread:
ctx = context.context()
self.in_eager = ctx.executing_eagerly()
self.record_thread_local_context_fields()
# pylint: disable=protected-access
if not ctx._context_handle:
ctx._initialize_handle_and_devices()
self.context_device_policy = (
pywrap_tensorflow.TFE_ContextGetDevicePlacementPolicy(
ctx._context_handle))
self.graph = ops.get_default_graph()
with ops.init_scope():
self._init_in_eager = context.executing_eagerly()
self._init_graph = ops.get_default_graph()
self._variable_creator_stack = self.graph._variable_creator_stack[:]
self._var_scope = variable_scope.get_variable_scope()
# Adding a "/" at end lets us re-enter this scope later.
self._name_scope = self.graph.get_name_scope()
if self._name_scope:
self._name_scope += "/"
if self.replica_id > 0:
if not self._name_scope:
self._name_scope = ""
self._name_scope += "replica_%d/" % self.replica_id
def device_policy(self, policy):
handle = self._handle
old = pywrap_tensorflow.TFE_ContextGetDevicePlacementPolicy(handle)
pywrap_tensorflow.TFE_ContextSetThreadLocalDevicePlacementPolicy(
handle, policy)
try:
yield
finally:
pywrap_tensorflow.TFE_ContextSetThreadLocalDevicePlacementPolicy(
handle, old)
def device_policy(self, policy):
if not self._context_handle:
self._initialize_handle_and_devices()
old = pywrap_tensorflow.TFE_ContextGetDevicePlacementPolicy(
self._context_handle)
pywrap_tensorflow.TFE_ContextSetThreadLocalDevicePlacementPolicy(
self._handle, policy)
try:
yield
finally:
pywrap_tensorflow.TFE_ContextSetThreadLocalDevicePlacementPolicy(
self._handle, old)