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【PaddlePaddle Hackathon 3 No.5】为 Paddle 新增 bucketize (#44195)
* add paddle.bucketize api add paddle.bucketize api * updata paddle.bucketize code style. * upgrade unittests/test_bucketize_api.py. * update tests/unittests/test_bucketize_api.py file. * 修改bucketize API 的英文参数描述
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python/paddle/fluid/tests/unittests/test_bucketize_api.py
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# Copyright (c) 2022 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. | ||
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from __future__ import print_function | ||
from re import X | ||
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import unittest | ||
import numpy as np | ||
import paddle | ||
import paddle.fluid as fluid | ||
import paddle.fluid.core as core | ||
from paddle.fluid import Program, program_guard | ||
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np.random.seed(10) | ||
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class TestBucketizeAPI(unittest.TestCase): | ||
# test paddle.tensor.math.nanmean | ||
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def setUp(self): | ||
self.sorted_sequence = np.array([2, 4, 8, 16]).astype("float64") | ||
self.x = np.array([[0, 8, 4, 16], [-1, 2, 8, 4]]).astype("float64") | ||
self.place = [paddle.CPUPlace()] | ||
if core.is_compiled_with_cuda(): | ||
self.place.append(paddle.CUDAPlace(0)) | ||
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def test_api_static(self): | ||
paddle.enable_static() | ||
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def run(place): | ||
with paddle.static.program_guard(paddle.static.Program()): | ||
sorted_sequence = paddle.static.data( | ||
'SortedSequence', | ||
shape=self.sorted_sequence.shape, | ||
dtype="float64") | ||
x = paddle.static.data('x', shape=self.x.shape, dtype="float64") | ||
out1 = paddle.bucketize(x, sorted_sequence) | ||
out2 = paddle.bucketize(x, sorted_sequence, right=True) | ||
exe = paddle.static.Executor(place) | ||
res = exe.run(feed={ | ||
'SortedSequence': self.sorted_sequence, | ||
'x': self.x | ||
}, | ||
fetch_list=[out1, out2]) | ||
out_ref = np.searchsorted(self.sorted_sequence, self.x) | ||
out_ref1 = np.searchsorted(self.sorted_sequence, | ||
self.x, | ||
side='right') | ||
self.assertTrue(np.allclose(out_ref, res[0])) | ||
self.assertTrue(np.allclose(out_ref1, res[1])) | ||
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for place in self.place: | ||
run(place) | ||
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def test_api_dygraph(self): | ||
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def run(place): | ||
paddle.disable_static(place) | ||
sorted_sequence = paddle.to_tensor(self.sorted_sequence) | ||
x = paddle.to_tensor(self.x) | ||
out1 = paddle.bucketize(x, sorted_sequence) | ||
out2 = paddle.bucketize(x, sorted_sequence, right=True) | ||
out_ref1 = np.searchsorted(self.sorted_sequence, self.x) | ||
out_ref2 = np.searchsorted(self.sorted_sequence, | ||
self.x, | ||
side='right') | ||
self.assertEqual(np.allclose(out_ref1, out1.numpy()), True) | ||
self.assertEqual(np.allclose(out_ref2, out2.numpy()), True) | ||
paddle.enable_static() | ||
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for place in self.place: | ||
run(place) | ||
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def test_out_int32(self): | ||
paddle.disable_static() | ||
sorted_sequence = paddle.to_tensor(self.sorted_sequence) | ||
x = paddle.to_tensor(self.x) | ||
out = paddle.bucketize(x, sorted_sequence, out_int32=True) | ||
self.assertTrue(out.type, 'int32') | ||
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def test_bucketize_dims_error(self): | ||
with paddle.static.program_guard(paddle.static.Program()): | ||
sorted_sequence = paddle.static.data('SortedSequence', | ||
shape=[2, 2], | ||
dtype="float64") | ||
x = paddle.static.data('x', shape=[2, 5], dtype="float64") | ||
self.assertRaises(ValueError, paddle.bucketize, x, sorted_sequence) | ||
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def test_input_error(self): | ||
for place in self.place: | ||
paddle.disable_static(place) | ||
sorted_sequence = paddle.to_tensor(self.sorted_sequence) | ||
self.assertRaises(ValueError, paddle.bucketize, self.x, | ||
sorted_sequence) | ||
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def test_empty_input_error(self): | ||
for place in self.place: | ||
paddle.disable_static(place) | ||
sorted_sequence = paddle.to_tensor(self.sorted_sequence) | ||
x = paddle.to_tensor(self.x) | ||
self.assertRaises(ValueError, paddle.bucketize, None, | ||
sorted_sequence) | ||
self.assertRaises(AttributeError, paddle.bucketize, x, None) | ||
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if __name__ == "__main__": | ||
unittest.main() |
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