tf.contrib.framework.VariableDeviceChooser

Class VariableDeviceChooser

Defined in tensorflow/contrib/framework/python/ops/variables.py.

Device chooser for variables.

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.

__init__

__init__(
    num_tasks=0,
    job_name='ps',
    device_type='CPU',
    device_index=0,
    replica=None
)

Initialize VariableDeviceChooser.

Usage: To use with 2 parameter servers: VariableDeviceChooser(2)

To use without parameter servers: VariableDeviceChooser() VariableDeviceChooser(device_type='GPU') # For GPU 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

tf.contrib.framework.VariableDeviceChooser.__call__

__call__(op)

Call self as a function.