# tf.raw_ops.ScatterMin

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Reduces sparse updates into a variable reference using the `min` operation.

#### View aliases


**Compat aliases for migration**

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

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

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    tf.raw_ops.ScatterMin(
        ref, indices, updates, use_locking=False, name=None
    )

This operation computes

    # Scalar indices
    ref[indices, ...] = min(ref[indices, ...], updates[...])

    # Vector indices (for each i)
    ref[indices[i], ...] = min(ref[indices[i], ...], updates[i, ...])

    # High rank indices (for each i, ..., j)
    ref[indices[i, ..., j], ...] = min(ref[indices[i, ..., j], ...], updates[i, ..., j, ...])

This operation outputs `ref` after the update is done.
This makes it easier to chain operations that need to use the reset value.

Duplicate entries are handled correctly: if multiple `indices` reference
the same location, their contributions combine.

Requires `updates.shape = indices.shape + ref.shape[1:]` or `updates.shape = []`.
![](https://www.tensorflow.org/images/ScatterAdd.png)

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| ## Args ||
|---|---|
| `ref` | A mutable `Tensor`. Must be one of the following types: `half`, `bfloat16`, `float32`, `float64`, `int32`, `int64`. Should be from a `Variable` node. |
| `indices` | A `Tensor`. Must be one of the following types: `int32`, `int64`. A tensor of indices into the first dimension of `ref`. |
| `updates` | A `Tensor`. Must have the same type as `ref`. A tensor of updated values to reduce into `ref`. |
| `use_locking` | An optional `bool`. Defaults to `False`. If True, the update will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention. |
| `name` | A name for the operation (optional). |

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

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