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test_cdist.py
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test_cdist.py
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# # Copyright (c) 2023 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
def ref_cdist(x, y, p=2.0):
r1 = x.shape[-2]
r2 = y.shape[-2]
if r1 == 0 or r2 == 0:
return np.empty((r1, r2), x.dtype)
return np.linalg.norm(x[..., None, :] - y[..., None, :, :], ord=p, axis=-1)
class TestCdistAPI(unittest.TestCase):
def setUp(self):
np.random.seed(1024)
self.x = np.random.rand(10, 20).astype('float32')
self.y = np.random.rand(11, 20).astype('float32')
self.p = 2.0
self.compute_mode = "use_mm_for_euclid_dist_if_necessary"
self.init_input()
self.place = (
paddle.CUDAPlace(0)
if paddle.is_compiled_with_cuda()
else paddle.CPUPlace()
)
def init_input(self):
pass
def test_static_api(self):
paddle.enable_static()
with paddle.static.program_guard(paddle.static.Program()):
x = paddle.static.data('x', self.x.shape, dtype=self.x.dtype)
y = paddle.static.data('y', self.y.shape, dtype=self.y.dtype)
out = paddle.cdist(x, y, self.p, self.compute_mode)
exe = paddle.static.Executor(self.place)
res = exe.run(feed={'x': self.x, 'y': self.y}, fetch_list=[out])
out_ref = ref_cdist(self.x, self.y, self.p)
np.testing.assert_allclose(out_ref, res[0], rtol=1e-5, atol=1e-5)
def test_dygraph_api(self):
paddle.disable_static(self.place)
x = paddle.to_tensor(self.x)
y = paddle.to_tensor(self.y)
out = paddle.cdist(x, y, self.p, self.compute_mode)
out_ref = ref_cdist(self.x, self.y, self.p)
np.testing.assert_allclose(out_ref, out.numpy(), rtol=1e-5, atol=1e-5)
paddle.enable_static()
class TestCdistAPICase1(TestCdistAPI):
def init_input(self):
self.p = 0
class TestCdistAPICase2(TestCdistAPI):
def init_input(self):
self.p = 1.0
class TestCdistAPICase3(TestCdistAPI):
def init_input(self):
self.p = 3.0
class TestCdistAPICase4(TestCdistAPI):
def init_input(self):
self.p = 1.5
class TestCdistAPICase5(TestCdistAPI):
def init_input(self):
self.p = 2.5
class TestCdistAPICase6(TestCdistAPI):
def init_input(self):
self.p = float('inf')
class TestCdistAPICase7(TestCdistAPI):
def init_input(self):
self.x = np.random.rand(50, 20).astype('float64')
self.y = np.random.rand(40, 20).astype('float64')
self.compute_mode = "use_mm_for_euclid_dist"
class TestCdistAPICase8(TestCdistAPI):
def init_input(self):
self.x = np.random.rand(50, 20).astype('float64')
self.y = np.random.rand(40, 20).astype('float64')
self.compute_mode = "donot_use_mm_for_euclid_dist"
class TestCdistAPICase9(TestCdistAPI):
def init_input(self):
self.x = np.random.rand(500, 100).astype('float64')
self.y = np.random.rand(400, 100).astype('float64')
class TestCdistAPICase10(TestCdistAPI):
def init_input(self):
self.x = np.random.rand(3, 500, 100).astype('float64')
self.y = np.random.rand(3, 400, 100).astype('float64')
class TestCdistAPICase11(TestCdistAPI):
def init_input(self):
self.x = np.random.rand(3, 4, 500, 100).astype('float64')
self.y = np.random.rand(3, 4, 400, 100).astype('float64')
class TestCdistAPICase12(TestCdistAPI):
def init_input(self):
self.x = np.random.rand(3, 4, 500, 100).astype('float64')
self.y = np.random.rand(3, 4, 400, 100).astype('float64')
self.p = 3.0
# test for different compute mode output same result
class TestCdistAPICase13(TestCdistAPI):
def init_input(self):
self.x = np.random.rand(3, 4, 500, 100).astype('float64')
self.y = np.random.rand(3, 4, 400, 100).astype('float64')
def test_static_api(self):
paddle.enable_static()
with paddle.static.program_guard(paddle.static.Program()):
x = paddle.static.data('x', self.x.shape, dtype=self.x.dtype)
y = paddle.static.data('y', self.y.shape, dtype=self.y.dtype)
out0 = paddle.cdist(x, y, self.p, self.compute_mode)
out1 = paddle.cdist(x, y, self.p, "donot_use_mm_for_euclid_dist")
out2 = paddle.cdist(x, y, self.p, "use_mm_for_euclid_dist")
exe = paddle.static.Executor(self.place)
res = exe.run(
feed={'x': self.x, 'y': self.y}, fetch_list=[out0, out1, out2]
)
out_ref = ref_cdist(self.x, self.y, self.p)
np.testing.assert_allclose(out_ref, res[0])
np.testing.assert_allclose(out_ref, res[2])
np.testing.assert_allclose(out_ref, res[2])
def test_dygraph_api(self):
paddle.disable_static(self.place)
x = paddle.to_tensor(self.x)
y = paddle.to_tensor(self.y)
out0 = paddle.cdist(x, y, self.p, self.compute_mode)
out1 = paddle.cdist(x, y, self.p, "donot_use_mm_for_euclid_dist")
out2 = paddle.cdist(x, y, self.p, "use_mm_for_euclid_dist")
out_ref = ref_cdist(self.x, self.y, self.p)
np.testing.assert_allclose(out_ref, out0.numpy())
np.testing.assert_allclose(out_ref, out1.numpy())
np.testing.assert_allclose(out_ref, out2.numpy())
paddle.enable_static()
# test for broadcast
class TestCdistAPICase14(TestCdistAPI):
def init_input(self):
self.x = np.random.rand(3, 4, 500, 100).astype('float64')
self.y = np.random.rand(1, 4, 400, 100).astype('float64')
# test for broadcast
class TestCdistAPICase15(TestCdistAPI):
def init_input(self):
self.x = np.random.rand(3, 4, 500, 100).astype('float64')
self.y = np.random.rand(4, 400, 100).astype('float64')
if __name__ == '__main__':
paddle.enable_static()
unittest.main()