DeviceSpec
Defined in tensorflow/python/framework/device.py.
Represents a (possibly partial) specification for a TensorFlow device.
DeviceSpecs are used throughout TensorFlow to describe where state is stored and computations occur. Using DeviceSpec allows you to parse device spec strings to verify their validity, merge them or compose them programmatically.
Example:
# Place the operations on device "GPU:0" in the "ps" job. device_spec = DeviceSpec(job="ps", device_type="GPU", device_index=0) with tf.device(device_spec): # Both my_var and squared_var will be placed on /job:ps/device:GPU:0. my_var = tf.Variable(..., name="my_variable") squared_var = tf.square(my_var)
If a DeviceSpec is partially specified, it will be merged with other DeviceSpecs according to the scope in which it is defined. DeviceSpec components defined in inner scopes take precedence over those defined in outer scopes.
with tf.device(DeviceSpec(job="train", )):
with tf.device(DeviceSpec(job="ps", device_type="GPU", device_index=0):
# Nodes created here will be assigned to /job:ps/device:GPU:0.
with tf.device(DeviceSpec(device_type="GPU", device_index=1):
# Nodes created here will be assigned to /job:train/device:GPU:1.
A DeviceSpec consists of 5 components -- each of which is optionally specified:
jobreplicatask__init____init__(
job=None,
replica=None,
task=None,
device_type=None,
device_index=None
)
Create a new DeviceSpec object.
job: string. Optional job name.replica: int. Optional replica index.task: int. Optional task index.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.from_string@staticmethod from_string(spec)
Construct a DeviceSpec from a string.
spec: a string of the form /job:A DeviceSpec.
merge_frommerge_from(dev)
Merge the properties of "dev" into this DeviceSpec.
dev: a DeviceSpec.parse_from_stringparse_from_string(spec)
Parse a DeviceSpec name into its components.
spec: a string of the form /job:The DeviceSpec.
ValueError: if the spec was not valid.to_stringto_string()
Return a string representation of this DeviceSpec.
a string of the form /job:
© 2018 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/python/tf/DeviceSpec