74 lines
2.2 KiB
Python
74 lines
2.2 KiB
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()
|