wehub-resource-sync
151 lines
4.0 KiB
Python
151 lines
4.0 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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def ref_pdist(x, p=2.0):
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dist = np.linalg.norm(x[..., None, :] - x[None, :, :], ord=p, axis=-1)
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res = []
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rows, cols = dist.shape
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for i in range(rows):
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for j in range(cols):
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if i >= j:
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continue
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res.append(dist[i][j])
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return np.array(res)
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class TestPdistAPI(unittest.TestCase):
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def setUp(self):
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self.x = np.random.rand(10, 20).astype('float32')
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self.p = 2.0
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self.init_input()
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self.place = get_device_place()
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def init_input(self):
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pass
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def test_static_api(self):
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paddle.enable_static()
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with paddle.static.program_guard(paddle.static.Program()):
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x = paddle.static.data('x', self.x.shape, dtype=self.x.dtype)
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out = paddle.pdist(
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x,
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self.p,
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)
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exe = paddle.static.Executor(self.place)
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res = exe.run(feed={'x': self.x}, fetch_list=[out])
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out_ref = ref_pdist(self.x, self.p)
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np.testing.assert_allclose(out_ref, res[0], rtol=1e-5, atol=1e-5)
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def test_dygraph_api(self):
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paddle.disable_static(self.place)
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x = paddle.to_tensor(self.x)
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out = paddle.pdist(
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x,
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self.p,
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)
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out_ref = ref_pdist(self.x, self.p)
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np.testing.assert_allclose(out_ref, out.numpy(), rtol=1e-5, atol=1e-5)
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paddle.enable_static()
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class TestPdistAPICase1_param_p1(TestPdistAPI):
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def init_input(self):
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self.p = 0
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class TestPdistAPICase2_param_p2(TestPdistAPI):
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def init_input(self):
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self.p = 1.0
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class TestPdistAPICase3_param_p3(TestPdistAPI):
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def init_input(self):
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self.p = 3.0
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class TestPdistAPICase4_param_p4(TestPdistAPI):
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def init_input(self):
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self.p = 1.5
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class TestPdistAPICase5_param_p5(TestPdistAPI):
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def init_input(self):
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self.p = 2.5
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class TestPdistAPICase6_param_p6(TestPdistAPI):
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def init_input(self):
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self.p = float('inf')
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class TestPdistAPICase7_input_x1(TestPdistAPI):
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def init_input(self):
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self.x = np.random.rand(50, 20).astype('float64')
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class TestPdistShapeError(unittest.TestCase):
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def test_error(self):
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with self.assertRaises(AssertionError):
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self.x = np.random.rand(50, 10, 20).astype('float64')
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self.p = 2.0
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x = paddle.to_tensor(self.x)
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out0 = paddle.pdist(
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x,
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self.p,
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)
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class TestPdistAPI_ZeroSize(unittest.TestCase):
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def setUp(self):
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self.init_shape()
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self.x = np.random.rand(*self.shape).astype('float32')
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self.p = 2.0
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self.place = get_device_place()
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def init_shape(self):
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self.shape = (0, 20)
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def test_dygraph_api(self):
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paddle.disable_static(self.place)
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x = paddle.to_tensor(self.x)
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x.stop_gradient = False
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out = paddle.pdist(
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x,
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self.p,
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)
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out_ref = ref_pdist(self.x, self.p)
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np.testing.assert_allclose(out_ref, out.numpy(), rtol=1e-5, atol=1e-5)
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loss = paddle.sum(out)
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loss.backward()
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np.testing.assert_allclose(x.grad.shape, x.shape)
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paddle.enable_static()
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class TestPdistAPI_ZeroSize2(TestPdistAPI_ZeroSize):
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def init_shape(self):
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self.shape = (0, 0)
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if __name__ == '__main__':
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paddle.enable_static()
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unittest.main()
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