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tf.AggregationMethod

class tf.AggregationMethod

See the guide: Training > Gradient Computation

A class listing aggregation methods used to combine gradients.

Computing partial derivatives can require aggregating gradient contributions. This class lists the various methods that can be used to combine gradients in the graph:

  • ADD_N: All of the gradient terms are summed as part of one operation using the "AddN" op. It has the property that all gradients must be ready before any aggregation is performed.
  • DEFAULT: The system-chosen default aggregation method.

Class Members

ADD_N

DEFAULT

EXPERIMENTAL_ACCUMULATE_N

EXPERIMENTAL_TREE

__init__

Defined in tensorflow/python/ops/gradients_impl.py.

© 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/AggregationMethod