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Module: tf.train.experimental

TensorFlow 2.0 version

Classes

class DynamicLossScale: Loss scale that dynamically adjusts itself.

class FixedLossScale: Loss scale with a fixed value.

class LossScale: Loss scale base class.

class MixedPrecisionLossScaleOptimizer: An optimizer that applies loss scaling.

class PythonState: A mixin for putting Python state in an object-based checkpoint.

Functions

disable_mixed_precision_graph_rewrite(...): Disables the mixed precision graph rewrite.

enable_mixed_precision_graph_rewrite(...): Enable mixed precision via a graph rewrite.