# tf.raw_ops.NcclReduce

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Reduces `input` from `num_devices` using `reduction` to a single device.

#### View aliases


**Compat aliases for migration**

See
[Migration guide](https://www.tensorflow.org/guide/migrate) for
more details.

[`tf.compat.v1.raw_ops.NcclReduce`](https://www.tensorflow.org/api_docs/python/tf/raw_ops/NcclReduce)

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    tf.raw_ops.NcclReduce(
        input, reduction, name=None
    )

Reduces `input` from `num_devices` using `reduction` to a single device.

The graph should be constructed so that all inputs have a valid device
assignment, and the op itself is assigned one of these devices.

input: The input to the reduction.
data: the value of the reduction across all `num_devices` devices.
reduction: the reduction operation to perform.

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| ## Args ||
|---|---|
| `input` | A list of at least 1 `Tensor` objects with the same type in: `half`, `float32`, `float64`, `int32`, `int64`. |
| `reduction` | A `string` from: `"min", "max", "prod", "sum"`. |
| `name` | A name for the operation (optional). |

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| ## Returns ||
|---|---|
| A `Tensor`. Has the same type as `input`. ||

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