mindspore.ops.Pad

class mindspore.ops.Pad(*args, **kwargs)[source]

Pads the input tensor according to the paddings.

Parameters: paddings (tuple) – The shape of parameter paddings is (N, 2). N is the rank of input data. All elements of paddings are int type. For the input in D th dimension, paddings[D, 0] indicates how many sizes to be extended ahead of the input tensor in the D th dimension, and paddings[D, 1] indicates how many sizes to be extended behind the input tensor in the D th dimension.

Inputs:

input_x (Tensor) - The input tensor.

Outputs:

Tensor, the tensor after padding.

Raises

TypeError – If paddings is not a tuple.
TypeError – If input_x is not a Tensor.
ValueError – If shape of paddings is not (n, 2).

Supported Platforms:: Ascend GPU CPU

Examples

>>> input_tensor = Tensor(np.array([[-0.1, 0.3, 3.6], [0.4, 0.5, -3.2]]), mindspore.float32)
>>> pad_op = ops.Pad(((1, 2), (2, 1)))
>>> output = pad_op(input_tensor)
>>> print(output)
[[ 0.   0.   0.   0.   0.   0. ]
 [ 0.   0.  -0.1  0.3  3.6  0. ]
 [ 0.   0.   0.4  0.5 -3.2  0. ]
 [ 0.   0.   0.   0.   0.   0. ]
 [ 0.   0.   0.   0.   0.   0. ]]