correct pylint formattings - 2

This commit is contained in:
kushanam 2020-11-10 18:06:55 -08:00 committed by Geeta Chavan
parent d3e2a16524
commit 9886910012
2 changed files with 20 additions and 15 deletions
tensorflow/python/distribute

View File

@ -2002,10 +2002,11 @@ def _get_dataset_attributes(dataset):
def _should_use_multi_device_iterator(options):
"""Determine whether to use multi_device_iterator_ops.OwnedMultiDeviceIterator"""
if (options is None
or options.experimental_replication_mode == InputReplicationMode.PER_WORKER
or (options.experimental_replication_mode == InputReplicationMode.PER_REPLICA
and options.experimental_prefetch_to_device)):
if (options is None or
options.experimental_replication_mode == InputReplicationMode.PER_WORKER
or
(options.experimental_replication_mode == InputReplicationMode.PER_REPLICA
and options.experimental_prefetch_to_device)):
return True
return False

View File

@ -462,15 +462,16 @@ class InputTypeSpecTest(test.TestCase, parameterized.TestCase):
enable_get_next_as_optional=[True, False],
experimental_place_dataset_on_device=[True, False],
experimental_prefetch_to_device=[True, False],))
def testFromFunctionInputSignatureForPerReplicaValuesWithOptions(self, distribution,
enable_get_next_as_optional,
experimental_place_dataset_on_device,
experimental_prefetch_to_device):
def testFromFunctionInputSignatureForPerReplicaValuesWithOptions(
self, distribution, enable_get_next_as_optional,
experimental_place_dataset_on_device,
experimental_prefetch_to_device):
if experimental_place_dataset_on_device and experimental_prefetch_to_device:
self.skipTest("Setting experimental_place_dataset_on_device and "
"experimental_prefetch_to_device to `True` is not allowed "
"when using distribute_lib.InputReplicationMode.PER_REPLICA.")
"experimental_prefetch_to_device to `True` is not "
"allowed when using "
"distribute_lib.InputReplicationMode.PER_REPLICA.")
fname1 = os.path.join(self.get_temp_dir(), "1.txt")
_create_text_file(fname1, 5)
@ -486,13 +487,16 @@ class InputTypeSpecTest(test.TestCase, parameterized.TestCase):
input_context.get_per_replica_batch_size(4))
options = distribute_lib.InputOptions(
experimental_place_dataset_on_device=experimental_place_dataset_on_device,
experimental_prefetch_to_device=experimental_prefetch_to_device,
experimental_replication_mode=distribute_lib.InputReplicationMode.PER_REPLICA)
experimental_place_dataset_on_device=experimental_place_dataset_on_device,
experimental_prefetch_to_device=experimental_prefetch_to_device,
experimental_replication_mode=(
distribute_lib.InputReplicationMode.PER_REPLICA
))
distribution.extended.experimental_enable_get_next_as_optional = (
enable_get_next_as_optional)
ds = distribution.experimental_distribute_datasets_from_function(dataset_fn, options)
ds = distribution.experimental_distribute_datasets_from_function(dataset_fn,
options)
iterator = iter(ds)
_check_type_spec_structure(iterator)