forked from mindspore-Ecosystem/mindspore
154 lines
3.6 KiB
Python
154 lines
3.6 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 mindspore.context as context
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from mindspore import Tensor, ms_function
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from mindspore.common import dtype as mstype
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from mindspore import ops
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import mindspore.nn as nn
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import numpy as np
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ZERO = Tensor([0], mstype.int32)
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ONE = Tensor([1], mstype.int32)
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@ms_function
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def f(x):
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y = ZERO
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if x < 0:
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y = f(x - 3)
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elif x < 3:
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y = x * f(x - 1)
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elif x < 5:
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y = x * f(x - 2)
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else:
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y = f(x - 4)
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z = y + 1
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return z
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@ms_function
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def fr(x):
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y = ZERO
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if x < 0:
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y = ONE
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elif x < 3:
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y = x * fr(x - 1)
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elif x < 5:
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y = x * fr(x - 2)
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else:
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y = fr(x - 4)
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z = y + 1
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return z
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@ms_function
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def f_pythonerr(x):
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if x > 0:
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return f_pythonerr(x - 1)
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return NOT_DEF
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def test_python_error():
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context.set_context(mode=context.GRAPH_MODE)
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x = Tensor([5], mstype.int32)
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try:
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f_pythonerr(x)
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except NameError as e:
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assert 'not defined' in str(e)
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@ms_function
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def f_recrusive_endless(x):
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if x > 0:
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return f_recrusive_endless(x - 1)
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return f_recrusive_endless(x + 1)
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def test_recrusive_endless():
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context.set_context(mode=context.GRAPH_MODE)
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x = Tensor([5], mstype.int32)
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try:
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f_recrusive_endless(x)
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except RuntimeError as e:
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assert 'loop' in str(e)
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def test_endless():
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context.set_context(mode=context.GRAPH_MODE)
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x = Tensor([5], mstype.int32)
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try:
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f(x)
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except RuntimeError as e:
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assert 'loop' in str(e)
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@ms_function
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def f_ok(x):
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if x > 0:
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return f_ok(x - 1) + 1
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return ONE
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def test_f_ok():
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context.set_context(mode=context.GRAPH_MODE)
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x = Tensor([3], mstype.int32)
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ret = f_ok(x)
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expect = Tensor([4], mstype.int32)
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assert ret == expect
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def test_recrusive_fun():
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context.set_context(mode=context.GRAPH_MODE)
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x = Tensor([5], mstype.int32)
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ret = fr(x)
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expect = Tensor([3], mstype.int32)
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assert ret == expect
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def test_branch_value_compatible():
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"""
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Feature: control flow
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Description: test branch value must be compatible with the other branch.
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Expectation: Join Failed
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"""
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class IfInWhileNet(nn.Cell):
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def __init__(self):
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super().__init__()
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self.expand_dims = ops.ExpandDims()
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def construct(self, x, y, i):
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out = x
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while i < 3:
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if x + i < y:
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out = out + x
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else:
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out = out + y
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out = out + 1
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out = self.expand_dims(out, -1)
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i = i + 1
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return out
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forward_net = IfInWhileNet()
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i = Tensor(np.array(0), dtype=mstype.int32)
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x = Tensor(np.array(0), dtype=mstype.int32)
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y = Tensor(np.array(1), dtype=mstype.int32)
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try:
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forward_net(x, y, i)
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except ValueError as e:
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assert 'Join Failed' in str(e)
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if __name__ == "__main__":
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test_endless()
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