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Fixing an issue where parameter server always reserves 1 GPU as long as TensorFlow GPU build is used #276

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Merged
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May 1, 2018
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Fixing an issue where parameter server always reserves 1 GPU as long as TensorFlow GPU build is used #276

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2 changes: 1 addition & 1 deletion tensorflowonspark/TFNode.py
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Original file line number Diff line number Diff line change
Expand Up @@ -70,7 +70,7 @@ def start_cluster_server(ctx, num_gpus=1, rdma=False):
cluster_spec = ctx.cluster_spec
logging.info("{0}: Cluster spec: {1}".format(ctx.worker_num, cluster_spec))

if tf.test.is_built_with_cuda():
if tf.test.is_built_with_cuda() and num_gpus > 0:
# GPU
gpu_initialized = False
retries = 3
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