# tf.raw_ops.Tile

<br />

Constructs a tensor by tiling a given tensor.

#### View aliases


**Compat aliases for migration**

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

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

<br />

    tf.raw_ops.Tile(
        input, multiples, name=None
    )

This operation creates a new tensor by replicating `input` `multiples` times.
The output tensor's i'th dimension has `input.dims(i) * multiples[i]` elements,
and the values of `input` are replicated `multiples[i]` times along the 'i'th
dimension. For example, tiling `[a b c d]` by `[2]` produces
`[a b c d a b c d]`.

    a = tf.constant([[1,2,3],[4,5,6]], tf.int32)
    b = tf.constant([1,2], tf.int32)
    tf.tile(a, b)
    <tf.Tensor: shape=(2, 6), dtype=int32, numpy=
    array([[1, 2, 3, 1, 2, 3],
           [4, 5, 6, 4, 5, 6]], dtype=int32)>
    c = tf.constant([2,1], tf.int32)
    tf.tile(a, c)
    <tf.Tensor: shape=(4, 3), dtype=int32, numpy=
    array([[1, 2, 3],
           [4, 5, 6],
           [1, 2, 3],
           [4, 5, 6]], dtype=int32)>
    d = tf.constant([2,2], tf.int32)
    tf.tile(a, d)
    <tf.Tensor: shape=(4, 6), dtype=int32, numpy=
    array([[1, 2, 3, 1, 2, 3],
           [4, 5, 6, 4, 5, 6],
           [1, 2, 3, 1, 2, 3],
           [4, 5, 6, 4, 5, 6]], dtype=int32)>

<br />

<br />

<br />

| ## Args ||
|---|---|
| `input` | A `Tensor`. 1-D or higher. |
| `multiples` | A `Tensor`. Must be one of the following types: `int32`, `int64`. 1-D. Length must be the same as the number of dimensions in `input` |
| `name` | A name for the operation (optional). |

<br />

<br />

<br />

<br />

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

<br />