forked from mindspore-Ecosystem/mindspore
84 lines
2.3 KiB
Python
84 lines
2.3 KiB
Python
# Copyright 2020 Huawei Technologies Co., Ltd
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# ============================================================================
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import numpy as np
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from mindspore import Tensor, context
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from mindspore.nn import Cell
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from mindspore.ops import operations as P
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context.set_context(mode=context.GRAPH_MODE)
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def test_hypermap_if():
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class Net(Cell):
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"""DictNet1 definition"""
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def __init__(self):
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super(Net, self).__init__()
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self.max = P.Maximum()
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self.min = P.Minimum()
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self._list = [1, 2, 3]
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def construct(self, x, y):
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if map(lambda a: a + 1, self._list):
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ret = self.max(x, y)
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else:
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ret = self.min(x, y)
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return ret
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net = Net()
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x = Tensor(np.ones([3, 2, 3], np.float32))
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y = Tensor(np.ones([1, 2, 3], np.float32))
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net(x, y)
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def test_hypermap_value():
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class Net(Cell):
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"""DictNet1 definition"""
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def __init__(self):
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super(Net, self).__init__()
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self.max = P.Maximum()
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self.min = P.Minimum()
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self._list = [22, 66, 88, 111]
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def construct(self):
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return map(lambda a: a + 1, self._list)
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net = Net()
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assert net() == (23, 67, 89, 112)
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def test_hypermap_func_const():
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class NetMap(Cell):
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def __init__(self):
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super(NetMap, self).__init__()
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def double(self, x):
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return 2 * x
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def triple(self, x):
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return 3 * x
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def square(self, x):
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return x * x
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def construct(self):
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_list = [self.double, self.triple, self.square]
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return map(lambda f: f(4), _list)
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net = NetMap()
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assert net() == (8, 12, 16)
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