# tf.tensor_scatter_nd_max

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Apply a sparse update to a tensor taking the element-wise maximum.

#### View aliases


**Compat aliases for migration**

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

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

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    tf.tensor_scatter_nd_max(
        tensor, indices, updates, name=None
    )

Returns a new tensor copied from `tensor` whose values are element-wise maximum between
tensor and updates according to the indices.

    tensor = [0, 0, 0, 0, 0, 0, 0, 0]
    indices = [[1], [4], [5]]
    updates = [1, -1, 1]
    tf.tensor_scatter_nd_max(tensor, indices, updates).numpy()
    array([0, 1, 0, 0, 0, 1, 0, 0], dtype=int32)

Refer to [`tf.tensor_scatter_nd_update`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/tensor_scatter_nd_update) for more details.

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| ## Args ||
|---|---|
| `tensor` | A `Tensor`. Tensor to update. |
| `indices` | A `Tensor`. Must be one of the following types: `int32`, `int64`. Index tensor. |
| `updates` | A `Tensor`. Must have the same type as `tensor`. Updates to scatter into output. |
| `name` | A name for the operation (optional). |

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

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