tf.raw_ops.Tile  |  TensorFlow v2.16.1 (original) (raw)

tf.raw_ops.Tile

Stay organized with collections Save and categorize content based on your preferences.

Constructs a tensor by tiling a given tensor.

View aliases

Compat aliases for migration

SeeMigration guide for more details.

tf.compat.v1.raw_ops.Tile

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)>