tf.estimator.export.TensorServingInputReceiver

TensorFlow 1 version

View source on GitHub

Context manager for setting the executor of eager defined functions.

View aliases

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.experimental.function_executor_type

@tf_contextlib.contextmanager
tf.experimental.function_executor_type(
    executor_type
)

Eager defined functions are functions decorated by tf.contrib.eager.defun.

Args
`executor_type`	a string for the name of the executor to be used to execute functions defined by tf.contrib.eager.defun.

Yields
Context manager for setting the executor of eager defined functions.

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.estimator / export / export.TensorServingInputReceiver

View aliases

Args

Yields