wehub-resource-sync
275 lines
6.3 KiB
Python
275 lines
6.3 KiB
Python
# Copyright (c) 2020 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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"""Tests for logical operators of Dynamic-to-Static.
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Only test simple cases here. The complex test samples like nested ifelse
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or nested loop have been covered in file test_ifelse.py and test_loop.py"""
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import unittest
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import numpy as np
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from dygraph_to_static_utils import (
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Dy2StTestBase,
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enable_to_static_guard,
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)
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import paddle
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from paddle.jit.dy2static.transformers.logical_transformer import (
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cmpop_node_to_str,
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)
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from paddle.utils import gast
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SEED = 2020
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np.random.seed(22)
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def test_logical_not(x):
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x = paddle.to_tensor(x)
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if not x:
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x = x - 1
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else:
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x = x + 1
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if x != 10:
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x = x - 1
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else:
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x = x + 1
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y = 0
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if not y:
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x = x + 4
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if y != 3:
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x = x + 2
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return x
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def test_logical_not_2(x):
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x = paddle.to_tensor(x)
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y = None
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if y is not None and not y:
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x = x + 4
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if y != 3:
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x = x + 2
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return x
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def test_logical_and(x):
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x = paddle.to_tensor(x)
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if x < 10 and x > 1:
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x = x - 1
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else:
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x = x + 1
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y = 3
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if y < 10 and y > 1:
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x = x - 2
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else:
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x = x + 2
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return x
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def test_logical_and_2(x):
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x = paddle.to_tensor(x)
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a = None
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# NOTE(liym27):
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# because `a is not None` is False, then `a > 1` won't be run,
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# which means `convert_logical_and(a is not None, a > 1)` should not
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# run a>1.
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if a is not None and a > 1:
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x = x - 1
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else:
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x = x + 1
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b = 3
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if b is not None and b > 1:
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x = x - 1
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else:
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x = x + 1
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return x
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def test_logical_or(x):
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x = paddle.to_tensor(x)
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if x < 10 or x > 1:
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x = x - 1
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else:
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x = x + 1
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a = 10
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if a > 3 or a < 1:
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x = x - 1
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else:
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x = x + 1
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return x
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def test_logical_or_2(x):
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x = paddle.to_tensor(x)
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a = None
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if x > 1 or a is None or a > 1:
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x = x - 1
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else:
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x = x + 1
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return x
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def test_logical_not_and_or(x):
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x = paddle.to_tensor(x)
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a = 1
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if x < 10 and (a < 4 or a > 0) or a < -1 or not x > -1:
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x = x - 1
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else:
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x = x + 1
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return x
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def test_shape_equal(x):
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x = paddle.to_tensor(x)
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y = paddle.zeros([1, 2, 3])
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if x.shape == y.shape:
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return y
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else:
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return paddle.ones([1, 2, 3])
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def test_shape_not_equal(x):
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x = paddle.to_tensor(x)
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y = paddle.zeros([1, 2, 3])
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if x.shape != y.shape:
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return y
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else:
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return paddle.ones([1, 2, 3])
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class TestLogicalBase(Dy2StTestBase):
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def setUp(self):
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self.input = np.array([3]).astype('int32')
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self._set_test_func()
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def _set_test_func(self):
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raise NotImplementedError(
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"Method 'set_test_func' should be implemented."
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)
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def _run(self, to_static: bool):
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with enable_to_static_guard(to_static):
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result = paddle.jit.to_static(self.dygraph_func)(self.input)
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return result.numpy()
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def _run_dygraph(self):
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return self._run(to_static=False)
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def _run_static(self):
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return self._run(to_static=True)
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class TestLogicalNot(TestLogicalBase):
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def _set_test_func(self):
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self.dygraph_func = test_logical_not
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def test_transformed_result(self):
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dygraph_res = self._run_dygraph()
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static_res = self._run_static()
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np.testing.assert_allclose(
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dygraph_res,
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static_res,
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rtol=1e-05,
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err_msg=f'dygraph result is {dygraph_res}\nstatic_result is {static_res}',
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)
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class TestLogicalNot2(TestLogicalBase):
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def _set_test_func(self):
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self.dygraph_func = test_logical_not_2
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def test_transformed_result(self):
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dygraph_res = self._run_dygraph()
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static_res = self._run_static()
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np.testing.assert_allclose(
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dygraph_res,
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static_res,
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rtol=1e-05,
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err_msg=f'dygraph result is {dygraph_res}\nstatic_result is {static_res}',
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)
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class TestLogicalAnd(TestLogicalNot):
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def _set_test_func(self):
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self.dygraph_func = test_logical_and
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class TestLogicalAnd2(TestLogicalNot):
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def _set_test_func(self):
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self.dygraph_func = test_logical_and_2
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class TestLogicalOr(TestLogicalNot):
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def _set_test_func(self):
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self.dygraph_func = test_logical_or
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class TestLogicalOr2(TestLogicalNot):
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def _set_test_func(self):
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self.dygraph_func = test_logical_or_2
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class TestLogicalNotAndOr(TestLogicalNot):
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def _set_test_func(self):
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self.dygraph_func = test_logical_not_and_or
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class TestShapeEqual(TestLogicalNot):
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def _set_test_func(self):
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self.input = np.ones([1, 2, 3]).astype('float32')
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self.dygraph_func = test_shape_equal
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class TestShapeNotEqual(TestLogicalNot):
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def _set_test_func(self):
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self.input = np.ones([1, 2, 3]).astype('float32')
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self.dygraph_func = test_shape_not_equal
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class TestCmpopNodeToStr(Dy2StTestBase):
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def test_exception(self):
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with self.assertRaises(KeyError):
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cmpop_node_to_str(gast.Or())
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def test_expected_result(self):
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self.assertEqual(cmpop_node_to_str(gast.Eq()), "==")
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self.assertEqual(cmpop_node_to_str(gast.NotEq()), "!=")
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self.assertEqual(cmpop_node_to_str(gast.Lt()), "<")
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self.assertEqual(cmpop_node_to_str(gast.LtE()), "<=")
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self.assertEqual(cmpop_node_to_str(gast.Gt()), ">")
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self.assertEqual(cmpop_node_to_str(gast.GtE()), ">=")
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self.assertEqual(cmpop_node_to_str(gast.Is()), "is")
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self.assertEqual(cmpop_node_to_str(gast.IsNot()), "is not")
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self.assertEqual(cmpop_node_to_str(gast.In()), "in")
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self.assertEqual(cmpop_node_to_str(gast.NotIn()), "not in")
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if __name__ == '__main__':
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unittest.main()
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