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# ============================================================================ 15 16import mindspore.context as context 17import mindspore.nn as nn 18from mindspore.common.api import ms_function 19from mindspore.ops import operations as P 20 21context.set_context(device_target="Ascend") 22 23 24class Net(nn.Cell): 25 def __init__(self): 26 super(Net, self).__init__() 27 self.matmul = P.MatMul(transpose_b=True) 28 self.bias_add = P.BiasAdd() 29 30 @ms_function 31 def construct(self, x, w, b): 32 return self.bias_add(self.matmul(x, w), b) 33 34# def test_net(): 35# x = np.random.randn(32, 2048).astype(np.float16) 36# w = np.random.randn(1001, 2048).astype(np.float16) 37# b = np.random.randn(1001).astype(np.float16) 38# FullConnection = Net() 39# output = FullConnection(Tensor(x), Tensor(w), Tensor(b)) 40# print(output.asnumpy()) 41