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tf.recompute_grad

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An eager-compatible version of recompute_grad.

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Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.recompute_grad

tf.recompute_grad(
    f
)

For f(*args, **kwargs), this supports gradients with respect to args or kwargs, but kwargs are currently only supported in eager-mode. Note that for keras layer and model objects, this is handled automatically.

Warning: If f was originally a tf.keras Model or Layer object, g will not be able to access the member variables of that object, because g returns through the wrapper function inner. When recomputing gradients through objects that inherit from keras, we suggest keeping a reference to the underlying object around for the purpose of accessing these variables.
Args
f function f(*x) that returns a Tensor or sequence of Tensor outputs.
Returns
A function g that wraps f, but which recomputes f on the backwards pass of a gradient call.

© 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/r2.4/api_docs/python/tf/recompute_grad

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