tf.group

TensorFlow 1 version

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Create an op that groups multiple operations.

View aliases

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.group

tf.group(
    *inputs, **kwargs
)

Used in the notebooks

Used in the guide	Used in the tutorials
Migrate your TensorFlow 1 code to TensorFlow 2 Estimators	Wiki40B Language Models

When this op finishes, all ops in inputs have finished. This op has no output.

When operating in a v1-style graph context, ops are not executed in the same order as specified in the code; TensorFlow will attempt to execute ops in parallel or in an order convienient to the result it is computing. tf.group allows you to request that one or more results finish before execution continues.

tf.group creates a single op (of type NoOp), and then adds appropriate control dependencies. Thus, c = tf.group(a, b) will compute the same graph as this:

with tf.control_dependencies([a, b]):
    c = tf.no_op()

Args
`*inputs`	Zero or more tensors to group.
`name`	A name for this operation (optional).

Returns
An Operation that executes all its inputs.

Raises
`ValueError`	If an unknown keyword argument is provided.

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tf / group

View aliases

Used in the notebooks

Args

Returns

Raises