tf.tile

Constructs a tensor by tiling a given tensor.

``````tf.tile(
input,
multiples,
name=None
)
``````

Used in the notebooks

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)> `
```

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).

Returns:

A `Tensor`. Has the same type as `input`.