# Copyright (c) 2019 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 as np import paddle from paddle import fluid from paddle.fluid import core paddle.enable_static() class TestDeg2radAPI(unittest.TestCase): def setUp(self): self.x_dtype = 'float64' self.x_np = np.array( [180.0, -180.0, 360.0, -360.0, 90.0, -90.0] ).astype(np.float64) self.x_shape = [6] self.out_np = np.deg2rad(self.x_np) def test_static_graph(self): startup_program = fluid.Program() train_program = fluid.Program() with fluid.program_guard(startup_program, train_program): x = paddle.static.data( name='input', dtype=self.x_dtype, shape=self.x_shape ) out = paddle.deg2rad(x) place = ( fluid.CUDAPlace(0) if core.is_compiled_with_cuda() else fluid.CPUPlace() ) exe = fluid.Executor(place) res = exe.run( fluid.default_main_program(), feed={'input': self.x_np}, fetch_list=[out], ) self.assertTrue((np.array(out[0]) == self.out_np).all()) def test_dygraph(self): paddle.disable_static() x1 = paddle.to_tensor([180.0, -180.0, 360.0, -360.0, 90.0, -90.0]) result1 = paddle.deg2rad(x1) np.testing.assert_allclose(self.out_np, result1.numpy(), rtol=1e-05) paddle.enable_static() class TestDeg2radAPI2(TestDeg2radAPI): # Test input data type is int def setUp(self): self.x_np = [180] self.x_shape = [1] self.out_np = np.pi self.x_dtype = 'int64' def test_dygraph(self): paddle.disable_static() x2 = paddle.to_tensor(180) result2 = paddle.deg2rad(x2) np.testing.assert_allclose(np.pi, result2.numpy(), rtol=1e-05) paddle.enable_static()