tf.distribute clean ups.

PiperOrigin-RevId: 255533911

tensorflow/contrib/distribute/python/mirrored_strategy.py

@@ -23,11 +23,9 @@ from tensorflow.python.distribute import input_lib
 from tensorflow.python.distribute import mirrored_strategy
 
 
-# pylint: disable=protected-access,invalid-name
 all_local_devices = mirrored_strategy.all_local_devices
 CoreMirroredStrategy = mirrored_strategy.MirroredStrategy
 CoreMirroredExtended = mirrored_strategy.MirroredExtended
-# pylint: enable=protected-access,invalid-name
 
 
 class MirroredStrategy(distribute_lib.StrategyV1):

tensorflow/python/distribute/collective_all_reduce_strategy.py

@@ -282,9 +282,9 @@ class CollectiveAllReduceExtended(mirrored_strategy.MirroredExtended):
         self._communication)
 
   def _get_variable_creator_initial_value(self,
-                                          replica_id=0,
-                                          device=None,
-                                          primary_var=None,
+                                          replica_id,
+                                          device,
+                                          primary_var,
                                           **kwargs):
     if replica_id == 0:  # First replica on each worker.
       assert device is not None

tensorflow/python/distribute/mirrored_strategy.py

@@ -442,9 +442,9 @@ class MirroredExtended(distribute_lib.StrategyExtendedV1):
       self._inferred_cross_device_ops = cross_device_ops_lib.NcclAllReduce()
 
   def _get_variable_creator_initial_value(self,
-                                          replica_id=0,
-                                          device=None,
-                                          primary_var=None,
+                                          replica_id,
+                                          device,
+                                          primary_var,
                                           **kwargs):
     """Return the initial value for variables on a replica."""
     if replica_id == 0:

tensorflow/python/distribute/mirrored_strategy_test.py

@@ -12,7 +12,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 # ==============================================================================
-"""Multi-GPU tests for MirroredStrategy."""
+"""Tests for MirroredStrategy."""
 
 from __future__ import absolute_import
 from __future__ import division

tensorflow/python/distribute/values.py

@@ -298,7 +298,7 @@ class WorkerDeviceMap(DeviceMap):
 
 
 class DistributedValues(object):
-  """Holds a map from device to values. Either PerReplica or Mirrored."""
+  """Holds a map from replica to values. Either PerReplica or Mirrored."""
 
   def __init__(self, device_map, values, logical_device=None):
     assert isinstance(device_map, DeviceMap)
@@ -463,7 +463,7 @@ class DistributedDelegate(DistributedValues):
 
 
 class PerReplica(DistributedValues, composite_tensor.CompositeTensor):
-  """Holds a map from device to unsynchronized values."""
+  """Holds a map from replica to unsynchronized values."""
 
   @property
   def _type_spec(self):
@@ -536,7 +536,7 @@ class PerReplicaSpec(type_spec.TypeSpec):
 # DistributedDelegate and so can be used directly in cross-replica mode.
 # TODO(tomhennigan) Should this extend CompositeTensor?
 class Mirrored(DistributedDelegate):
-  """Holds a map from device to values which are kept in sync."""
+  """Holds a map from replica to values which are kept in sync."""
 
   def _get_cross_replica(self):
     device = device_util.canonicalize(device_util.current())
@@ -595,7 +595,7 @@ DistributedVarOp = collections.namedtuple(
 
 
 class DistributedVariable(DistributedDelegate, variables_lib.AbstractVariable):
-  """Holds a map from device to variables."""
+  """Holds a map from replica to variables."""
   # TODO(josh11b): Support changing the set of variables if e.g. if new
   # devices are joining or a device is to leave.
 
@@ -968,7 +968,7 @@ class _MirroredSaveable(saver.BaseSaverBuilder.ResourceVariableSaveable):
 
 
 class MirroredVariable(DistributedVariable, Mirrored):
-  """Holds a map from device to variables whose values are kept in sync."""
+  """Holds a map from replica to variables whose values are kept in sync."""
 
   def __init__(
       self, strategy, device_map, values, aggregation, logical_device=None):
@@ -1094,7 +1094,7 @@ def is_distributed_variable(v):
 
 
 class TPUMirroredVariable(TPUVariableMixin, MirroredVariable):
-  """Holds a map from device to TPU variables whose values are kept in sync."""
+  """Holds a map from replica to TPU variables whose values are kept in sync."""
 
   def _assign_func(self, *args, **kwargs):
     with _enter_or_assert_strategy(self._distribute_strategy):
@@ -1158,7 +1158,7 @@ def _assert_replica_context(strategy):
 
 
 class SyncOnReadVariable(DistributedVariable, PerReplica):
-  """Holds a map from device to variables whose values are reduced on save."""
+  """Holds a map from replica to variables whose values are reduced on save."""
 
   def __init__(
       self, strategy, device_map, values, aggregation, logical_device=None):
@@ -1255,7 +1255,7 @@ ops.register_tensor_conversion_function(SyncOnReadVariable,
 
 
 class TPUSyncOnReadVariable(TPUVariableMixin, SyncOnReadVariable):
-  """Holds a map from device to variables whose values are reduced on save."""
+  """Holds a map from replica to variables whose values are reduced on save."""
 
   def assign_sub(self, *args, **kwargs):
     if _enclosing_tpu_context() is None: