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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.
-
- import unittest
-
- import numpy as np
-
- import paddle
- from paddle.base import core
-
- np.random.seed(10)
-
-
- class TestCountNonzeroAPI(unittest.TestCase):
- # test paddle.tensor.math.count_nonzero
-
- 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()
- )
-
- def test_api_static(self):
- paddle.enable_static()
- with paddle.static.program_guard(paddle.static.Program()):
- x = paddle.static.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:
- np.testing.assert_allclose(out, out_ref, rtol=1e-05)
-
- def test_api_dygraph(self):
- paddle.disable_static(self.place)
-
- 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
-
- out_ref = np.count_nonzero(x, axis, keepdims=keepdim)
- np.testing.assert_allclose(out.numpy(), out_ref, rtol=1e-05)
-
- 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()
-
- def test_errors(self):
- paddle.enable_static()
- with paddle.static.program_guard(paddle.static.Program()):
- x = paddle.static.data('X', [10, 12], 'int32')
- self.assertRaises(ValueError, paddle.count_nonzero, x, axis=10)
-
-
- if __name__ == "__main__":
- unittest.main()
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