tf.control_dependencies

TensorFlow 1 version

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Wrapper for Graph.control_dependencies() using the default graph.

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Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.control_dependencies

tf.control_dependencies(
    control_inputs
)

Used in the notebooks

Used in the tutorials
Bayesian Modeling with Joint Distribution TensorFlow Probability Case Study: Covariance Estimation

See tf.Graph.control_dependencies for more details.

When eager execution is enabled, any callable object in the control_inputs list will be called.

Args
`control_inputs`	A list of `Operation` or `Tensor` objects which must be executed or computed before running the operations defined in the context. Can also be `None` to clear the control dependencies. If eager execution is enabled, any callable object in the `control_inputs` list will be called.

Returns
A context manager that specifies control dependencies for all operations constructed within the context.

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

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tf.io

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tf.linalg

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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 / control_dependencies

View aliases

Used in the notebooks

Args

Returns