wehub-resource-sync
126 lines
3.4 KiB
Python
126 lines
3.4 KiB
Python
# Copyright (c) 2023 PaddlePaddle Authors. All Rights Reserved.
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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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from __future__ import annotations
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import unittest
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from test_case_base import TestCaseBase
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import paddle
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from paddle.jit.sot.psdb import check_no_breakgraph
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def pop_jump_if_false(x: bool, y: paddle.Tensor):
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if x:
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y += 1
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else:
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y -= 1
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return y
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def pop_jump_if_true(x: bool, y: bool, z: paddle.Tensor):
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return (x or y) and z
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def jump_if_false_or_pop(x: bool, y: paddle.Tensor):
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return x and (y + 1)
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def jump_if_true_or_pop(x: bool, y: paddle.Tensor):
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return x or (y + 1)
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def jump_absolute(x: int, y: paddle.Tensor):
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while x > 0:
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y += 1
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x -= 1
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return y
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@check_no_breakgraph
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def pop_jump_if_none(x: bool, y: paddle.Tensor):
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if x is not None:
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y += 1
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else:
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y -= 1
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return y
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@check_no_breakgraph
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def pop_jump_if_not_none(x: bool, y: paddle.Tensor):
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if x is None:
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y += 1
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else:
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y -= 1
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return y
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a = paddle.to_tensor(1)
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b = paddle.to_tensor(2)
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c = paddle.to_tensor(3)
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d = paddle.to_tensor(4)
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true_tensor = paddle.to_tensor(True)
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false_tensor = paddle.to_tensor(False)
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class TestJump(TestCaseBase):
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def test_simple(self):
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self.assert_results(jump_absolute, 5, a)
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self.assert_results(pop_jump_if_false, True, a)
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self.assert_results(pop_jump_if_false, False, a)
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self.assert_results(jump_if_false_or_pop, True, a)
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self.assert_results(jump_if_false_or_pop, False, a)
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self.assert_results(jump_if_true_or_pop, True, a)
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self.assert_results(jump_if_true_or_pop, False, a)
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self.assert_results(pop_jump_if_true, True, False, a)
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self.assert_results(pop_jump_if_true, False, False, a)
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self.assert_results(pop_jump_if_none, None, a)
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self.assert_results(pop_jump_if_none, True, a)
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self.assert_results(pop_jump_if_not_none, None, a)
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self.assert_results(pop_jump_if_not_none, True, a)
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def test_breakgraph(self):
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self.assert_results(pop_jump_if_false, true_tensor, a)
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self.assert_results(jump_if_false_or_pop, true_tensor, a)
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self.assert_results(jump_if_true_or_pop, false_tensor, a)
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self.assert_results(pop_jump_if_true, true_tensor, false_tensor, a)
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self.assert_results(jump_absolute, 5, a)
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self.assert_results(pop_jump_if_false, false_tensor, a)
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self.assert_results(jump_if_false_or_pop, false_tensor, a)
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self.assert_results(jump_if_true_or_pop, false_tensor, a)
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self.assert_results(pop_jump_if_true, true_tensor, false_tensor, a)
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self.assert_results(pop_jump_if_none, true_tensor, a)
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self.assert_results(pop_jump_if_not_none, true_tensor, a)
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def new_var_in_if():
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x = paddle.to_tensor(1)
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if x > 0:
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y = 1
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return y
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class TestCreateVarInIf(TestCaseBase):
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def test_case(self):
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self.assert_results(new_var_in_if)
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if __name__ == "__main__":
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unittest.main()
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