# tf.raw_ops.TensorListScatterV2

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Creates a TensorList by indexing into a Tensor.

#### View aliases


**Compat aliases for migration**

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

[`tf.compat.v1.raw_ops.TensorListScatterV2`](https://www.tensorflow.org/api_docs/python/tf/raw_ops/TensorListScatterV2)

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    tf.raw_ops.TensorListScatterV2(
        tensor, indices, element_shape, num_elements, name=None
    )

Each member of the TensorList corresponds to one row of the input tensor,
specified by the given index (see [`tf.gather`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/gather)).

tensor: The input tensor.
indices: The indices used to index into the list.
element_shape: The shape of the elements in the list (can be less specified than
the shape of the tensor).
num_elements: The size of the output list. Must be large enough to accommodate
the largest index in indices. If -1, the list is just large enough to include
the largest index in indices.
output_handle: The TensorList.

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| ## Args ||
|---|---|
| `tensor` | A `Tensor`. |
| `indices` | A `Tensor` of type `int32`. |
| `element_shape` | A `Tensor`. Must be one of the following types: `int32`, `int64`. |
| `num_elements` | A `Tensor` of type `int32`. |
| `name` | A name for the operation (optional). |

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| ## Returns ||
|---|---|
| A `Tensor` of type `variant`. ||

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