tf.contrib.framework.VariableDeviceChooser
Device chooser for variables.
tf.contrib.framework.VariableDeviceChooser( num_tasks=0, job_name='ps', device_type='CPU', device_index=0, replica=None )
When using a parameter server it will assign them in a round-robin fashion. When not using a parameter server it allows GPU or CPU placement.
Args | |
---|---|
num_tasks | number of tasks. |
job_name | String, a name for the parameter server job. |
device_type | Optional device type string (e.g. "CPU" or "GPU") |
device_index | int. Optional device index. If left unspecified, device represents 'any' device_index. |
Methods
__call__
__call__( op )
Call self as a function.
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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/contrib/framework/VariableDeviceChooser