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【PaddlePaddle Hackathon 3 No.15】为 Paddle 新增 count_nonzero (#44169)
* add count_nonzero api * remove grad test
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python/paddle/fluid/tests/unittests/test_count_nonzero_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 | ||
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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 TestCountNonzeroAPI(unittest.TestCase): | ||
# test paddle.tensor.math.count_nonzero | ||
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def setUp(self): | ||
self.x_shape = [2, 3, 4, 5] | ||
self.x = np.random.uniform(-1, 1, self.x_shape).astype(np.float32) | ||
self.place = paddle.CUDAPlace(0) if core.is_compiled_with_cuda() \ | ||
else paddle.CPUPlace() | ||
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def test_api_static(self): | ||
paddle.enable_static() | ||
with paddle.static.program_guard(paddle.static.Program()): | ||
x = paddle.fluid.data('X', self.x_shape) | ||
out1 = paddle.count_nonzero(x) | ||
out2 = paddle.tensor.count_nonzero(x) | ||
out3 = paddle.tensor.math.count_nonzero(x) | ||
axis = np.arange(len(self.x_shape)).tolist() | ||
out4 = paddle.count_nonzero(x, axis) | ||
out5 = paddle.count_nonzero(x, tuple(axis)) | ||
exe = paddle.static.Executor(self.place) | ||
res = exe.run(feed={'X': self.x}, | ||
fetch_list=[out1, out2, out3, out4, out5]) | ||
out_ref = np.count_nonzero(self.x) | ||
for out in res: | ||
self.assertEqual(np.allclose(out, out_ref), True) | ||
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def test_api_dygraph(self): | ||
paddle.disable_static(self.place) | ||
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def test_case(x, axis=None, keepdim=False): | ||
x_tensor = paddle.to_tensor(x) | ||
out = paddle.count_nonzero(x_tensor, axis=axis, keepdim=keepdim) | ||
if isinstance(axis, list): | ||
axis = tuple(axis) | ||
if len(axis) == 0: | ||
axis = None | ||
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out_ref = np.count_nonzero(x, axis, keepdims=keepdim) | ||
self.assertEqual(np.allclose(out.numpy(), out_ref), True) | ||
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test_case(self.x) | ||
test_case(self.x, None) | ||
test_case(self.x, -1) | ||
test_case(self.x, keepdim=True) | ||
test_case(self.x, 2, keepdim=True) | ||
test_case(self.x, [0, 2]) | ||
test_case(self.x, (0, 2)) | ||
test_case(self.x, (0, 1, 3)) | ||
test_case(self.x, [0, 1, 2, 3]) | ||
paddle.enable_static() | ||
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def test_errors(self): | ||
paddle.enable_static() | ||
with paddle.static.program_guard(paddle.static.Program()): | ||
x = paddle.fluid.data('X', [10, 12], 'int32') | ||
self.assertRaises(ValueError, paddle.count_nonzero, x, axis=10) | ||
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if __name__ == "__main__": | ||
unittest.main() |
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