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[XLA:Python] Enable asynchronous mode on GPU.

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PiperOrigin-RevId: 249245334
This commit is contained in:
Peter Hawkins 2019-05-21 07:27:13 -07:00 committed by TensorFlower Gardener
parent 85429cebb0
commit d52b6ddef4
1 changed files with 1 additions and 1 deletions
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tensorflow/compiler/xla/python/xla_client.py
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@ -143,7 +143,7 @@ def _gpu_backend_factory():
config.memory_fraction = float(memory_fraction) config.memory_fraction = float(memory_fraction)
client = _xla.LocalClient.Get( client = _xla.LocalClient.Get(
platform='gpu', xla_platform_id='CUDA', asynchronous=False, platform='gpu', xla_platform_id='CUDA', asynchronous=True,
allocator_config=config) allocator_config=config)
return LocalBackend(platform='gpu', client=client) return LocalBackend(platform='gpu', client=client)