mindspore.ops.padding

mindspore.ops.padding(x, pad_dim_size=8)[source]

Extends the last dimension of the input tensor from 1 to pad_dim_size, by filling with 0.

Parameters

x (Tensor) – The shape of tensor is \((x_1, x_2, ..., x_R)\). The rank of x must be at least 2. The last dimension of x must be 1. The data type is Number.
pad_dim_size (int) – The value of the last dimension of x to be extended, which must be positive. Default: 8.

Returns

Tensor, has the same type and shape as input shape value.

Raises

TypeError – If pad_dim_size is not an int.
ValueError – If pad_dim_size is less than 1.
ValueError – If last dim of x is not equal to 1.

Supported Platforms:: Ascend GPU CPU

Examples

>>> from mindspore.ops import functional as F
>>> x = Tensor(np.array([[8], [10]]), mindspore.float32)
>>> pad_dim_size = 4
>>> output = F.padding(x, pad_dim_size)
>>> print(output)
[[ 8.  0.  0.  0.]
 [10.  0.  0.  0.]]