1# Copyright 2020 Huawei Technologies Co., Ltd 2# 3# Licensed under the Apache License, Version 2.0 (the "License"); 4# you may not use this file except in compliance with the License. 5# You may obtain a copy of the License at 6# 7# http://www.apache.org/licenses/LICENSE-2.0 8# 9# Unless required by applicable law or agreed to in writing, software 10# distributed under the License is distributed on an "AS IS" BASIS, 11# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 12# See the License for the specific language governing permissions and 13# limitations under the License. 14# ============================================================================ 15import numpy as np 16 17import mindspore.context as context 18import mindspore.nn as nn 19import mindspore.common.dtype as mstype 20from mindspore import Tensor 21from mindspore.ops import operations as P 22 23context.set_context(mode=context.GRAPH_MODE, 24 device_target="Ascend") 25 26 27class Net(nn.Cell): 28 def __init__(self, pad_dim_size): 29 super(Net, self).__init__() 30 self.padding = P.Padding(pad_dim_size) 31 32 def construct(self, x): 33 return self.padding(x) 34 35 36def test_padding(): 37 x = Tensor(np.array([[8], [10]]), mstype.int32) 38 padding = Net(4) 39 out = padding(x) 40 assert(out.asnumpy() == [[8, 0, 0, 0], [10, 0, 0, 0]]).all() 41