tf.raw_ops.TPUReplicatedInput
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Connects N inputs to an N-way replicated TPU computation.
tf.raw_ops.TPUReplicatedInput(
inputs, is_mirrored_variable=False, index=-1, is_packed=False, name=None
)
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.
|
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Last updated 2024-04-26 UTC.
[null,null,["Last updated 2024-04-26 UTC."],[],[],null,["# tf.raw_ops.TPUReplicatedInput\n\n\u003cbr /\u003e\n\nConnects N inputs to 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.TPUReplicatedInput`](https://www.tensorflow.org/api_docs/python/tf/raw_ops/TPUReplicatedInput)\n\n\u003cbr /\u003e\n\n tf.raw_ops.TPUReplicatedInput(\n inputs, is_mirrored_variable=False, index=-1, is_packed=False, name=None\n )\n\nThis operation holds a replicated input to a `tpu.replicate()` computation subgraph.\nEach replicated input has the same shape and type alongside the output.\n\n#### For example:\n\n %a = \"tf.opA\"()\n %b = \"tf.opB\"()\n %replicated_input = \"tf.TPUReplicatedInput\"(%a, %b)\n %computation = \"tf.Computation\"(%replicated_input)\n\nThe above computation has a replicated input of two replicas.\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|------------------------|-----------------------------------------------------------|\n| `inputs` | A list of at least 1 `Tensor` objects with the same type. |\n| `is_mirrored_variable` | An optional `bool`. Defaults to `False`. |\n| `index` | An optional `int`. Defaults to `-1`. |\n| `is_packed` | An optional `bool`. Defaults to `False`. |\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 `Tensor`. Has the same type as `inputs`. ||\n\n\u003cbr /\u003e"]]
