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test_count_nonzero_api.py
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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.
from __future__ import print_function
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
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.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)
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)
self.assertEqual(np.allclose(out.numpy(), out_ref), True)
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.fluid.data('X', [10, 12], 'int32')
self.assertRaises(ValueError, paddle.count_nonzero, x, axis=10)
if __name__ == "__main__":
unittest.main()