tf.compat.v1.keras.backend

Returns the TF session to be used by the backend.

tf.compat.v1.keras.backend.get_session(
    op_input_list=()
)

If a default TensorFlow session is available, we will return it.

Else, we will return the global Keras session assuming it matches the current graph.

If no global Keras session exists at this point: we will create a new global session.

Note that you can manually set the global session via K.set_session(sess).

Arguments
`op_input_list`	An option sequence of tensors or ops, which will be used to determine the current graph. Otherwise the default graph will be used.

Returns
A TensorFlow session.

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.keras.backend.Overview

Arguments

Returns