tf.keras.backend.permute_dimensions

Permutes axes in a tensor.

View aliases

Compat aliases for migration

tf.compat.v1.keras.backend.permute_dimensions, tf.compat.v2.keras.backend.permute_dimensions

tf.keras.backend.permute_dimensions(
    x, pattern
)

Arguments:

x: Tensor or variable.
pattern: A tuple of dimension indices, e.g. (0, 2, 1).

Returns:

A tensor.

Example:

>>> a = tf.constant([[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]])
>>> a
<tf.Tensor: shape=(4, 3), dtype=int32, numpy=
array([[ 1,  2,  3],
       [ 4,  5,  6],
       [ 7,  8,  9],
       [10, 11, 12]], dtype=int32)>
>>> tf.keras.backend.permute_dimensions(a, pattern=(1, 0))
<tf.Tensor: shape=(3, 4), dtype=int32, numpy=
array([[ 1,  4,  7, 10],
       [ 2,  5,  8, 11],
       [ 3,  6,  9, 12]], dtype=int32)>