wehub-resource-sync
236 lines
7.9 KiB
Python
236 lines
7.9 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, is_custom_device
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import paddle
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from paddle.base import core
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class TestGcdAPI(unittest.TestCase):
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def setUp(self):
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self.x_np = [12]
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self.y_np = [20]
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self.x_shape = [1]
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self.y_shape = [1]
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def test_static_graph(self):
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if core.is_compiled_with_cuda() or is_custom_device():
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place = get_device_place()
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else:
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place = core.CPUPlace()
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with paddle.static.program_guard(
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paddle.static.Program(), paddle.static.Program()
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):
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x = paddle.static.data(
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name='input1', dtype='int32', shape=self.x_shape
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)
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y = paddle.static.data(
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name='input2', dtype='int32', shape=self.y_shape
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)
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out = paddle.gcd(x, y)
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out_ref = np.gcd(self.x_np, self.y_np)
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exe = paddle.static.Executor(place)
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res = exe.run(
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paddle.static.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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self.assertTrue((res[0] == out_ref).all())
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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.gcd(x, y)
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np.testing.assert_allclose(
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np.gcd(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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class TestGcdAPI2(TestGcdAPI):
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def setUp(self):
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self.x_np = np.arange(6).astype(np.int32)
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self.y_np = np.array([20]).astype(np.int32)
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self.x_shape = [6]
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self.y_shape = [1]
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class TestGcdAPI3(TestGcdAPI):
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def setUp(self):
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self.x_np = 0
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self.y_np = 20
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self.x_shape = []
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self.y_shape = []
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class TestGcdAPI4(TestGcdAPI):
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def setUp(self):
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self.x_np = [0]
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self.y_np = [0]
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self.x_shape = [1]
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self.y_shape = [1]
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class TestGcdAPI5(TestGcdAPI):
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def setUp(self):
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self.x_np = 12
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self.y_np = -20
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self.x_shape = []
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self.y_shape = []
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class TestGcd(unittest.TestCase):
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def setUp(self):
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self.x_np = np.array([12, 18, 24]).astype(np.int32)
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self.y_np = np.array([20, 24, 36]).astype(np.int32)
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self.expected = np.gcd(self.x_np, self.y_np)
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def test_gcd_with_y_parameter(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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x_clone = x.clone()
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out = paddle.gcd(x_clone, y)
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np.testing.assert_allclose(out.numpy(), self.expected, rtol=1e-05)
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paddle.enable_static()
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def test_gcd_with_other_parameter(self):
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paddle.disable_static()
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x = paddle.to_tensor(self.x_np)
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other = paddle.to_tensor(self.y_np)
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x_clone = x.clone()
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out = paddle.gcd(x_clone, other=other)
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np.testing.assert_allclose(out.numpy(), self.expected, rtol=1e-05)
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paddle.enable_static()
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def test_gcd_with_both_parameters_error(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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x_clone = x.clone()
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other = paddle.to_tensor(self.y_np)
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with self.assertRaises(TypeError):
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out = paddle.gcd(x_clone, y, other=other)
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paddle.enable_static()
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class TestGcdOutParameter(unittest.TestCase):
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def test_dygraph_out(self):
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paddle.disable_static()
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x = paddle.to_tensor([12, 18, 24], dtype='int64')
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y = paddle.to_tensor([20, 24, 36], dtype='int64')
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out = paddle.zeros([3], dtype='int64')
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result = paddle.gcd(x, y, out=out)
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expected = np.gcd([12, 18, 24], [20, 24, 36])
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np.testing.assert_allclose(out.numpy(), expected, rtol=1e-05)
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self.assertIs(result, out)
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paddle.enable_static()
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def test_dygraph_out_none(self):
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paddle.disable_static()
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x = paddle.to_tensor([12, 18, 24], dtype='int64')
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y = paddle.to_tensor([20, 24, 36], dtype='int64')
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result = paddle.gcd(x, y)
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expected = np.gcd([12, 18, 24], [20, 24, 36])
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np.testing.assert_allclose(result.numpy(), expected, rtol=1e-05)
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paddle.enable_static()
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def test_dygraph_out_scalar(self):
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paddle.disable_static()
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x = paddle.to_tensor(12, dtype='int64')
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y = paddle.to_tensor(20, dtype='int64')
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out = paddle.zeros([], dtype='int64')
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result = paddle.gcd(x, y, out=out)
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self.assertEqual(out.numpy(), 4)
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self.assertIs(result, out)
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paddle.enable_static()
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def test_dygraph_out_broadcast(self):
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paddle.disable_static()
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x = paddle.to_tensor([12, 18, 24], dtype='int64')
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y = paddle.to_tensor([20], dtype='int64')
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out = paddle.zeros([3], dtype='int64')
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result = paddle.gcd(x, y, out=out)
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expected = np.gcd([12, 18, 24], [20])
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np.testing.assert_allclose(out.numpy(), expected, rtol=1e-05)
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self.assertIs(result, out)
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paddle.enable_static()
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def test_static_out(self):
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if core.is_compiled_with_cuda() or is_custom_device():
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place = get_device_place()
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else:
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place = core.CPUPlace()
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x_np = np.array([12, 18, 24]).astype(np.int64)
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y_np = np.array([20, 24, 36]).astype(np.int64)
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with paddle.static.program_guard(
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paddle.static.Program(), paddle.static.Program()
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):
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x = paddle.static.data(name='x', dtype='int64', shape=[3])
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y = paddle.static.data(name='y', dtype='int64', shape=[3])
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out = paddle.static.data(name='out', dtype='int64', shape=[3])
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result = paddle.gcd(x, y, out=out)
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exe = paddle.static.Executor(place)
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res = exe.run(
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feed={'x': x_np, 'y': y_np, 'out': np.zeros(3, dtype=np.int64)},
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fetch_list=[result],
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)
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np.testing.assert_allclose(res[0], np.gcd(x_np, y_np), rtol=1e-05)
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class TestGcdInplaceAPI(unittest.TestCase):
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def setUp(self):
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self.x_np = np.array([12, 18, 24]).astype(np.int32)
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self.y_np = np.array([20, 24, 36]).astype(np.int32)
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self.expected = np.gcd(self.x_np, self.y_np)
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def test_gcd_inplace_with_y_parameter(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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x_clone = x.clone()
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out = paddle.gcd_(x_clone, y)
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np.testing.assert_allclose(out.numpy(), self.expected, rtol=1e-05)
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paddle.enable_static()
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def test_gcd_inplace_with_other_parameter(self):
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paddle.disable_static()
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x = paddle.to_tensor(self.x_np)
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other = paddle.to_tensor(self.y_np)
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x_clone = x.clone()
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out = paddle.gcd_(x_clone, other=other)
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np.testing.assert_allclose(out.numpy(), self.expected, rtol=1e-05)
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paddle.enable_static()
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def test_gcd_inplace_with_both_parameters_error(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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other = paddle.to_tensor(self.y_np)
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x_clone = x.clone()
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with self.assertRaises(TypeError):
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out = paddle.gcd_(x_clone, y, other=other)
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paddle.enable_static()
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if __name__ == "__main__":
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paddle.enable_static()
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unittest.main()
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