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- # Copyright 2020 Huawei Technologies Co., Ltd
- #
- # Licensed under the Apache License, Version 2.0 (the "License");
- # you may not use this file except in compliance with the License.
- # You may obtain a copy of the License at
- #
- # http://www.apache.org/licenses/LICENSE-2.0
- #
- # Unless required by applicable law or agreed to in writing, software
- # distributed under the License is distributed on an "AS IS" BASIS,
- # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- # See the License for the specific language governing permissions and
- # limitations under the License.
- # ============================================================================
- """add model generator"""
- import os
- from shutil import copyfile
- import numpy as np
-
- import mindspore.context as context
- import mindspore.nn as nn
- import mindspore.ops as ops
- import mindspore as ms
-
- context.set_context(mode=context.GRAPH_MODE, device_target="Ascend")
-
-
- class Net(nn.Cell):
- """Define Net of add"""
-
- def __init__(self):
- super(Net, self).__init__()
- self.add = ops.TensorAdd()
-
- def construct(self, x_, y_):
- """construct add net"""
- return self.add(x_, y_)
-
-
- def export_net():
- """Export add net of 2x2 + 2x2, and copy output model `tensor_add.mindir` to directory ../add/1"""
- x = np.ones([2, 2]).astype(np.float32)
- y = np.ones([2, 2]).astype(np.float32)
- add = Net()
- output = add(ms.Tensor(x), ms.Tensor(y))
- ms.export(add, ms.Tensor(x), ms.Tensor(y), file_name='tensor_add', file_format='MINDIR')
- dst_dir = '../add/1'
- try:
- os.mkdir(dst_dir)
- except OSError:
- pass
-
- dst_file = os.path.join(dst_dir, 'tensor_add.mindir')
- copyfile('tensor_add.mindir', dst_file)
- print("copy tensor_add.mindir to " + dst_dir + " success")
-
- print(x)
- print(y)
- print(output.asnumpy())
-
-
- if __name__ == "__main__":
- export_net()
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