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2026-07-13 12:40:42 +08:00

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Python

# 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 os
import unittest
import numpy as np
from utils import (
extra_cc_args,
extra_nvcc_args,
paddle_includes,
paddle_libraries,
)
import paddle
from paddle.utils.cpp_extension import get_build_directory, load
from paddle.utils.cpp_extension.extension_utils import run_cmd
# Because Windows don't use docker, the shared lib already exists in the
# cache dir, it will not be compiled again unless the shared lib is removed.
file = f'{get_build_directory()}\\custom_contiguous\\custom_contiguous.pyd'
if os.name == 'nt' and os.path.isfile(file):
cmd = f'del {file}'
run_cmd(cmd, True)
custom_module = load(
name='custom_contiguous',
sources=['custom_contiguous.cc'],
extra_include_paths=paddle_includes, # add for Coverage CI
extra_library_paths=paddle_libraries,
extra_cxx_cflags=extra_cc_args, # test for cc flags
extra_cuda_cflags=extra_nvcc_args, # test for nvcc flags
verbose=True,
)
def custom_contiguous_dynamic(device, np_x):
paddle.set_device(device)
x = paddle.to_tensor(np_x, dtype="float32")
x.stop_gradient = True
x = x.transpose((1, 0))
out = custom_module.custom_contiguous(x)
assert out.is_contiguous()
class TestCustomCastOp(unittest.TestCase):
def setUp(self):
self.dtypes = ['float32', 'float64']
paddle.set_flags({"FLAGS_use_stride_kernel": 1})
def test_dynamic(self):
for dtype in self.dtypes:
x = np.random.uniform(-1, 1, [4, 8]).astype("float32")
custom_contiguous_dynamic('cpu', x)
if __name__ == '__main__':
unittest.main()