wehub-resource-sync
150 lines
4.5 KiB
Python
150 lines
4.5 KiB
Python
# Copyright (c) 2019 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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import unittest
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import numpy as np
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from op_test import get_device_place
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import paddle
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from paddle import base
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paddle.enable_static()
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class TestDeg2radAPI(unittest.TestCase):
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def setUp(self):
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self.x_dtype = 'float64'
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self.x_np = np.array(
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[180.0, -180.0, 360.0, -360.0, 90.0, -90.0]
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).astype(np.float64)
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self.x_shape = [6]
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self.out_np = np.deg2rad(self.x_np)
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def test_static_graph(self):
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startup_program = paddle.static.Program()
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train_program = paddle.static.Program()
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with paddle.static.program_guard(startup_program, train_program):
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x = paddle.static.data(
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name='input', dtype=self.x_dtype, shape=self.x_shape
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)
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out = paddle.deg2rad(x)
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place = get_device_place()
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exe = base.Executor(place)
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res = exe.run(
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feed={'input': self.x_np},
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fetch_list=[out],
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)
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np.testing.assert_allclose(
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np.array(res[0]), self.out_np, rtol=1e-05
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)
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def test_dygraph(self):
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paddle.disable_static()
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x1 = paddle.to_tensor([180.0, -180.0, 360.0, -360.0, 90.0, -90.0])
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result1 = paddle.deg2rad(x1)
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np.testing.assert_allclose(self.out_np, result1.numpy(), rtol=1e-05)
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paddle.enable_static()
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class TestDeg2radAPI2(TestDeg2radAPI):
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# Test input data type is int64
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def setUp(self):
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self.x_np = np.array([180]).astype(np.int64)
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self.x_shape = [1]
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self.out_np = np.pi
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self.x_dtype = 'int64'
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def test_dygraph(self):
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paddle.disable_static()
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# Test int64 input
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x2 = paddle.to_tensor([180], dtype="int64")
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result2 = paddle.deg2rad(x2)
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np.testing.assert_allclose(np.pi, result2.numpy(), rtol=1e-05)
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paddle.enable_static()
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class TestDeg2radAPI3(TestDeg2radAPI):
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# Test input data type is int32
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def setUp(self):
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self.x_np = np.array([180]).astype(np.int32)
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self.x_shape = [1]
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self.out_np = np.pi
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self.x_dtype = 'int32'
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def test_dygraph(self):
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paddle.disable_static()
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# Test int32 input
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x3 = paddle.to_tensor([180], dtype="int32")
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result3 = paddle.deg2rad(x3)
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np.testing.assert_allclose(np.pi, result3.numpy(), rtol=1e-05)
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paddle.enable_static()
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class TestDeg2radAPI4(TestDeg2radAPI):
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# Test input data type is float32
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def setUp(self):
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self.x_np = np.array(
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[180.0, -180.0, 360.0, -360.0, 90.0, -90.0]
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).astype(np.float32)
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self.x_shape = [6]
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self.out_np = np.deg2rad(self.x_np)
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self.x_dtype = 'float32'
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class TestDeg2radAlias(unittest.TestCase):
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def test_alias_dygraph(self):
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paddle.disable_static()
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x = paddle.to_tensor([180.0])
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expected = np.deg2rad(180.0)
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# Test alias with keyword argument
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res = paddle.deg2rad(input=x)
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np.testing.assert_allclose(res.numpy(), expected, rtol=1e-05)
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paddle.enable_static()
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def test_alias_static(self):
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"""Test alias parameter in static graph"""
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paddle.enable_static()
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startup_program = paddle.static.Program()
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train_program = paddle.static.Program()
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with paddle.static.program_guard(startup_program, train_program):
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# Test with alias 'input'
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x = paddle.static.data(
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name='input_data', dtype='float32', shape=[1]
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)
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result = paddle.deg2rad(input=x)
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place = get_device_place()
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exe = base.Executor(place)
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x_np = np.array([180.0]).astype(np.float32)
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expected = np.deg2rad(180.0)
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res = exe.run(
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feed={'input_data': x_np},
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fetch_list=[result],
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)
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np.testing.assert_allclose(res[0], expected, rtol=1e-05)
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if __name__ == '__main__':
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unittest.main()
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