Constructs a tensor by tiling a given tensor.
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)>
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 . |
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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.4/api_docs/python/tf/raw_ops/Tile