tf.control_dependencies
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Wrapper for Graph.control_dependencies()
using the default graph.
tf . control_dependencies (
control_inputs
)
See tf.Graph.control_dependencies
for more details.
Note: In TensorFlow 2 with eager and/or Autograph, you should not require
this method, as ops execute in the expected order thanks to automatic control
dependencies. Only use tf.control_dependencies
when working with v1
tf.Graph
code.
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.
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License , and code samples are licensed under the Apache 2.0 License . For details, see the Google Developers Site Policies . Java is a registered trademark of Oracle and/or its affiliates. Some content is licensed under the numpy license .
Last updated 2023-03-17 UTC.
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