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tf.contrib.framework.arg_scope

tf.contrib.framework.arg_scope

arg_scope(
    list_ops_or_scope,
    **kwargs
)

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

See the guide: Framework (contrib) > Arg_Scope

Stores the default arguments for the given set of list_ops.

For usage, please see examples at top of the file.

Args:

  • list_ops_or_scope: List or tuple of operations to set argument scope for or a dictionary containing the current scope. When list_ops_or_scope is a dict, kwargs must be empty. When list_ops_or_scope is a list or tuple, then every op in it need to be decorated with @add_arg_scope to work. **kwargs: keyword=value that will define the defaults for each op in list_ops. All the ops need to accept the given set of arguments.

Yields:

the current_scope, which is a dictionary of {op: {arg: value}}

Raises:

  • TypeError: if list_ops is not a list or a tuple.
  • ValueError: if any op in list_ops has not be decorated with @add_arg_scope.

© 2017 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/contrib/framework/arg_scope