tf.tile

TensorFlow 1 version

Constructs a tensor by tiling a given tensor.

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

Used in the notebooks

Used in the guide

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.