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tf.ConditionalAccumulatorBase

A conditional accumulator for aggregating gradients.

Up-to-date gradients (i.e., time step at which gradient was computed is equal to the accumulator's time step) are added to the accumulator.

Extraction of the average gradient is blocked until the required number of gradients has been accumulated.

Args
dtype Datatype of the accumulated gradients.
shape Shape of the accumulated gradients.
accumulator_ref A handle to the conditional accumulator, created by sub- classes
Attributes
accumulator_ref The underlying accumulator reference.
dtype The datatype of the gradients accumulated by this accumulator.
name The name of the underlying accumulator.

Methods

num_accumulated

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Number of gradients that have currently been aggregated in accumulator.

Args
name Optional name for the operation.
Returns
Number of accumulated gradients currently in accumulator.

set_global_step

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Sets the global time step of the accumulator.

The operation logs a warning if we attempt to set to a time step that is lower than the accumulator's own time step.

Args
new_global_step Value of new time step. Can be a variable or a constant
name Optional name for the operation.
Returns
Operation that sets the accumulator's time step.

© 2020 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/versions/r1.15/api_docs/python/tf/ConditionalAccumulatorBase