1# Copyright 2019 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 19from mindspore.common.api import ms_function 20from mindspore.ops.operations import _grad_ops as G 21 22context.set_context(device_target="Ascend") 23 24 25class Net(nn.Cell): 26 def __init__(self): 27 super(Net, self).__init__() 28 self.bias_add_grad = G.BiasAddGrad() 29 30 @ms_function 31 def construct(self, dout): 32 return self.bias_add_grad(dout) 33 34 35def test_net(): 36 dout = np.random.rand(1, 1001).astype(np.float32) 37 bias_add_grad = Net() 38 output = bias_add_grad(dout) 39 print(output.asnumpy()) 40