# tf.raw_ops.RestoreSlice

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Restores a tensor from checkpoint files.

#### View aliases


**Compat aliases for migration**

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

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

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    tf.raw_ops.RestoreSlice(
        file_pattern,
        tensor_name,
        shape_and_slice,
        dt,
        preferred_shard=-1,
        name=None
    )

This is like `Restore` except that restored tensor can be listed as filling
only a slice of a larger tensor. `shape_and_slice` specifies the shape of the
larger tensor and the slice that the restored tensor covers.

The `shape_and_slice` input has the same format as the
elements of the `shapes_and_slices` input of the `SaveSlices` op.

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| ## Args ||
|---|---|
| `file_pattern` | A `Tensor` of type `string`. Must have a single element. The pattern of the files from which we read the tensor. |
| `tensor_name` | A `Tensor` of type `string`. Must have a single element. The name of the tensor to be restored. |
| `shape_and_slice` | A `Tensor` of type `string`. Scalar. The shapes and slice specifications to use when restoring a tensors. |
| `dt` | A [`tf.DType`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/dtypes/DType). The type of the tensor to be restored. |
| `preferred_shard` | An optional `int`. Defaults to `-1`. Index of file to open first if multiple files match `file_pattern`. See the documentation for `Restore`. |
| `name` | A name for the operation (optional). |

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

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