Constructs a tensor by tiling a given tensor.
tf.tile(
input: Annotated[Any, TV_Tile_T],
multiples: Annotated[Any, TV_Tile_Tmultiples],
name=None
) -> Annotated[Any, TV_Tile_T]
| Used in the guide | Used in the tutorials |
|---|---|
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)>
input
Tensor. Can be of any rank.
multiples
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
Tensor. Has the same type as input.
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Last updated 2024-04-26 UTC.