mindspore.ops.Padding

class mindspore.ops.Padding(*args, **kwargs)

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

Parameters

pad_dim_size (int) – The value of the last dimension of x to be extended, which must be positive. Default: 8.

Inputs:

• 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.

Outputs:

Tensor, the shape of tensor is \((z_1, z_2, ..., z_N)\).

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 1.

Supported Platforms:

Ascend

Examples

>>> x = Tensor(np.array([[8], [10]]), mindspore.float32)
>>> pad_dim_size = 4
>>> output = ops.Padding(pad_dim_size)(x)
>>> print(output)
[[ 8.  0.  0.  0.]
 [10.  0.  0.  0.]]