experiments/STT-tensorflow
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Use context.config instead of a clean tf.ConfigProto in test_util

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PiperOrigin-RevId: 251371530
This commit is contained in:
Yuefeng Zhou 2019-06-03 21:50:43 -07:00 committed by TensorFlower Gardener
parent 595cb7ecd9
commit 2892a6844c
1 changed files with 2 additions and 5 deletions
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7
tensorflow/python/framework/test_util.py
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@ -49,7 +49,6 @@ from google.protobuf import descriptor_pool
from google.protobuf import text_format
from tensorflow.core.framework import graph_pb2
from tensorflow.core.protobuf import config_pb2
from tensorflow.core.protobuf import rewriter_config_pb2
from tensorflow.python import pywrap_tensorflow
from tensorflow.python import tf2
@ -2741,12 +2740,10 @@ class TensorFlowTestCase(googletest.TestCase):
# will be used even when a specific device is supposed to be used.
allow_soft_placement = not force_gpu
if config is None:
config = config_pb2.ConfigProto()
config = context.context().config
config.allow_soft_placement = allow_soft_placement
config.gpu_options.per_process_gpu_memory_fraction = 0.3
elif not allow_soft_placement and config.allow_soft_placement:
config_copy = config_pb2.ConfigProto()
config_copy.CopyFrom(config)
config_copy = context.context().config
config = config_copy
config.allow_soft_placement = False
# Don't perform optimizations for tests so we don't inadvertently run