wehub-resource-sync
101 lines
3.2 KiB
Python
101 lines
3.2 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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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 TestHypotAPI(unittest.TestCase):
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def setUp(self):
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self.x_shape = [10, 10]
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self.y_shape = [10, 1]
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self.x_np = np.random.uniform(-10, 10, self.x_shape).astype(np.float32)
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self.y_np = np.random.uniform(-10, 10, self.y_shape).astype(np.float32)
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def test_static_graph(self):
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paddle.enable_static()
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startup_program = base.Program()
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train_program = base.Program()
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with base.program_guard(startup_program, train_program):
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x = paddle.static.data(
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name='input1', dtype='float32', shape=self.x_shape
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)
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y = paddle.static.data(
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name='input2', dtype='float32', shape=self.y_shape
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)
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out = paddle.hypot(x, y)
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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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base.default_main_program(),
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feed={'input1': self.x_np, 'input2': self.y_np},
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fetch_list=[out],
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)
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np_out = np.hypot(self.x_np, self.y_np)
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np.testing.assert_allclose(res[0], np_out, atol=1e-5, rtol=1e-5)
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paddle.disable_static()
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def test_dygraph(self):
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paddle.disable_static()
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x = paddle.to_tensor(self.x_np)
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y = paddle.to_tensor(self.y_np)
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result = paddle.hypot(x, y)
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np.testing.assert_allclose(
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np.hypot(self.x_np, self.y_np), result.numpy(), rtol=1e-05
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)
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paddle.enable_static()
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def test_error(self):
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x = paddle.to_tensor(self.x_np)
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y = 3.8
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self.assertRaises(TypeError, paddle.hypot, x, y)
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self.assertRaises(TypeError, paddle.hypot, y, x)
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class TestHypotAPIBroadCast(TestHypotAPI):
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def setUp(self):
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self.x_np = np.arange(6).astype(np.float32)
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self.y_np = np.array([20]).astype(np.float32)
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self.x_shape = [6]
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self.y_shape = [1]
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class TestHypotAPI3(TestHypotAPI):
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def setUp(self):
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self.x_shape = []
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self.y_shape = []
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self.x_np = np.random.uniform(-10, 10, self.x_shape).astype(np.float32)
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self.y_np = np.random.uniform(-10, 10, self.y_shape).astype(np.float32)
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class TestHypotAPI4(TestHypotAPI):
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def setUp(self):
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self.x_shape = [1]
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self.y_shape = [1]
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self.x_np = np.random.uniform(-10, 10, self.x_shape).astype(np.float32)
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self.y_np = np.random.uniform(-10, 10, self.y_shape).astype(np.float32)
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if __name__ == "__main__":
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unittest.main()
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