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[rllib] For TF1.14, disable emulated multiple gpu devices in tests #5006

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Jun 21, 2019
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[rllib] For TF1.14, disable emulated multiple gpu devices in tests #5006

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10 changes: 5 additions & 5 deletions python/ray/rllib/tests/test_optimizers.py
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Original file line number Diff line number Diff line change
Expand Up @@ -125,14 +125,14 @@ def testSimple(self):
def testMultiGPU(self):
local, remotes = self._make_evs()
workers = WorkerSet._from_existing(local, remotes)
optimizer = AsyncSamplesOptimizer(workers, num_gpus=2, _fake_gpus=True)
optimizer = AsyncSamplesOptimizer(workers, num_gpus=1, _fake_gpus=True)
self._wait_for(optimizer, 1000, 1000)

def testMultiGPUParallelLoad(self):
local, remotes = self._make_evs()
workers = WorkerSet._from_existing(local, remotes)
optimizer = AsyncSamplesOptimizer(
workers, num_gpus=2, num_data_loader_buffers=2, _fake_gpus=True)
workers, num_gpus=1, num_data_loader_buffers=1, _fake_gpus=True)
self._wait_for(optimizer, 1000, 1000)

def testMultiplePasses(self):
Expand Down Expand Up @@ -211,21 +211,21 @@ def testRejectBadConfigs(self):
num_data_loader_buffers=2, minibatch_buffer_size=4))
optimizer = AsyncSamplesOptimizer(
workers,
num_gpus=2,
num_gpus=1,
train_batch_size=100,
sample_batch_size=50,
_fake_gpus=True)
self._wait_for(optimizer, 1000, 1000)
optimizer = AsyncSamplesOptimizer(
workers,
num_gpus=2,
num_gpus=1,
train_batch_size=100,
sample_batch_size=25,
_fake_gpus=True)
self._wait_for(optimizer, 1000, 1000)
optimizer = AsyncSamplesOptimizer(
workers,
num_gpus=2,
num_gpus=1,
train_batch_size=100,
sample_batch_size=74,
_fake_gpus=True)
Expand Down