tf.compat.v1.distribute

tf.distribute.ReduceOp corresponding to the last loss reduction.

tf.compat.v1.distribute.get_loss_reduction()

This is used to decide whether loss should be scaled in optimizer (used only for estimator + v1 optimizer use case).

Returns
`tf.distribute.ReduceOp` corresponding to the last loss reduction for estimator and v1 optimizer use case. `tf.distribute.ReduceOp.SUM` otherwise.

TensorFlow

tf.compat / v1 / v1.distribute.Overview

Returns

TensorFlow

tf

tf.audio

tf.autograph

tf.bitwise

tf.compat

tf.config

tf.data

tf.debugging

tf.distribute

tf.dtypes

tf.errors

tf.estimator

tf.experimental

tf.feature_column

tf.graph_util

tf.image

tf.initializers

tf.io

tf.keras

tf.linalg

tf.lite

tf.lookup

tf.losses

tf.math

tf.metrics

tf.nest

tf.nn

tf.optimizers

tf.quantization

tf.queue

tf.ragged

tf.random

tf.raw_ops

tf.saved_model

tf.sets

tf.signal

tf.sparse

tf.strings

tf.summary

tf.sysconfig

tf.test

tf.tpu

tf.train

tf.version

tf.xla

tf.compat / v1 / v1.distribute.Overview

Returns