TensorFlow 2 version | View source on GitHub |
Repeat elements of input
tf.repeat(
input, repeats, axis=None, name=None
)
Args | |
---|---|
input
|
An N -dimensional Tensor.
|
repeats
|
An 1-D int Tensor. The number of repetitions for each element.
repeats is broadcasted to fit the shape of the given axis. len(repeats)
must equal input.shape[axis] if axis is not None.
|
axis
|
An int. The axis along which to repeat values. By default (axis=None), use the flattened input array, and return a flat output array. |
name
|
A name for the operation. |
Returns | |
---|---|
A Tensor which has the same shape as input , except along the given axis.
If axis is None then the output array is flattened to match the flattened
input array.
|
Examples:
>>> repeat(['a', 'b', 'c'], repeats=[3, 0, 2], axis=0) ['a', 'a', 'a', 'c', 'c'] >>> repeat([[1, 2], [3, 4]], repeats=[2, 3], axis=0) [[1, 2], [1, 2], [3, 4], [3, 4], [3, 4]] >>> repeat([[1, 2], [3, 4]], repeats=[2, 3], axis=1) [[1, 1, 2, 2, 2], [3, 3, 4, 4, 4]] >>> repeat(3, repeats=4) [3, 3, 3, 3] >>> repeat([[1,2], [3,4]], repeats=2) [1, 1, 2, 2, 3, 3, 4, 4]