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tf.raw_ops.TPUReplicatedInput

Connects N inputs to an N-way replicated TPU computation.

This operation holds a replicated input to a tpu.replicate() computation subgraph. Each replicated input has the same shape and type alongside the output.

For example:

%a = "tf.opA"()
%b = "tf.opB"()
%replicated_input = "tf.TPUReplicatedInput"(%a, %b)
%computation = "tf.Computation"(%replicated_input)

The above computation has a replicated input of two replicas.

Args
inputs A list of at least 1 Tensor objects with the same type.
is_mirrored_variable An optional bool. Defaults to False.
index An optional int. Defaults to -1.
is_packed An optional bool. Defaults to False.
name A name for the operation (optional).
Returns
A Tensor. Has the same type as inputs.

© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.3/api_docs/python/tf/raw_ops/TPUReplicatedInput