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 import Tensor 20from mindspore.common.api import ms_function 21from mindspore.ops import operations as P 22 23context.set_context(device_target="Ascend") 24 25 26class Net(nn.Cell): 27 def __init__(self): 28 super(Net, self).__init__() 29 self.matmul = P.MatMul() 30 31 @ms_function 32 def construct(self, x1_, x2_): 33 return self.matmul(x1_, x2_) 34 35 36x1 = np.random.randn(1, 3).astype(np.float32) 37x2 = np.random.randn(3, 4).astype(np.float32) 38 39 40def test_net(): 41 matmul = Net() 42 output = matmul(Tensor(x1), Tensor(x2)) 43 print(x1) 44 print(x2) 45 print(output.asnumpy()) 46