tf.raw_ops.TPUReplicatedOutput
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Connects N outputs from an N-way replicated TPU computation.
tf.raw_ops.TPUReplicatedOutput(
input, num_replicas, name=None
)
This operation holds a replicated output from a tpu.replicate() computation subgraph.
Each replicated output has the same shape and type alongside the input.
For example:
%computation = "tf.Computation"()
%replicated_output:2 = "tf.TPUReplicatedOutput"(%computation)
The above computation has a replicated output of two replicas.
Args |
|---|
input
|
A Tensor.
|
num_replicas
|
An int that is >= 1.
|
name
|
A name for the operation (optional).
|
Returns |
|---|
A list of num_replicas Tensor objects with the same type as input.
|
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Last updated 2023-10-06 UTC.
[null,null,["Last updated 2023-10-06 UTC."],[],[],null,["# tf.raw_ops.TPUReplicatedOutput\n\n\u003cbr /\u003e\n\nConnects N outputs from an N-way replicated TPU computation.\n\n#### View aliases\n\n\n**Compat aliases for migration**\n\nSee\n[Migration guide](https://www.tensorflow.org/guide/migrate) for\nmore details.\n\n[`tf.compat.v1.raw_ops.TPUReplicatedOutput`](https://www.tensorflow.org/api_docs/python/tf/raw_ops/TPUReplicatedOutput)\n\n\u003cbr /\u003e\n\n tf.raw_ops.TPUReplicatedOutput(\n input, num_replicas, name=None\n )\n\nThis operation holds a replicated output from a `tpu.replicate()` computation subgraph.\nEach replicated output has the same shape and type alongside the input.\n\n#### For example:\n\n %computation = \"tf.Computation\"()\n %replicated_output:2 = \"tf.TPUReplicatedOutput\"(%computation)\n\nThe above computation has a replicated output of two replicas.\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|----------------|--------------------------------------|\n| `input` | A `Tensor`. |\n| `num_replicas` | An `int` that is `\u003e= 1`. |\n| `name` | A name for the operation (optional). |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| A list of `num_replicas` `Tensor` objects with the same type as `input`. ||\n\n\u003cbr /\u003e"]]
