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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.Add()
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()
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")
if __name__ == "__main__":
export_net()
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