# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved. # # 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. import unittest import numpy import paddle from paddle import fluid from paddle.jit.api import to_static @paddle.jit.to_static def dyfunc_assert_variable(x): x_v = fluid.dygraph.to_variable(x) assert x_v @to_static def dyfunc_assert_non_variable(x=True): assert x class TestAssertVariable(unittest.TestCase): def _run(self, func, x, with_exception, to_static): paddle.jit.enable_to_static(to_static) if with_exception: with self.assertRaises(BaseException): with fluid.dygraph.guard(): func(x) else: with fluid.dygraph.guard(): func(x) def _run_dy_static(self, func, x, with_exception): self._run(func, x, with_exception, True) self._run(func, x, with_exception, False) def test_non_variable(self): self._run_dy_static( dyfunc_assert_non_variable, x=False, with_exception=True ) self._run_dy_static( dyfunc_assert_non_variable, x=True, with_exception=False ) def test_bool_variable(self): self._run_dy_static( dyfunc_assert_variable, x=numpy.array([False]), with_exception=True ) self._run_dy_static( dyfunc_assert_variable, x=numpy.array([True]), with_exception=False ) def test_int_variable(self): self._run_dy_static( dyfunc_assert_variable, x=numpy.array([0]), with_exception=True ) self._run_dy_static( dyfunc_assert_variable, x=numpy.array([1]), with_exception=False ) if __name__ == '__main__': unittest.main()