You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
Paddle/python/paddle/fluid/tests/custom_op/test_setup_install.py

66 lines
2.4 KiB

# Copyright (c) 2021 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 sys
import site
import unittest
import paddle
import subprocess
import numpy as np
from paddle.utils.cpp_extension.extension_utils import run_cmd
from paddle.utils.cpp_extension.extension_utils import use_new_custom_op_load_method
# switch to old custom op method
use_new_custom_op_load_method(False)
class TestSetUpInstall(unittest.TestCase):
def setUp(self):
cur_dir = os.path.dirname(os.path.abspath(__file__))
# compile, install the custom op egg into site-packages under background
cmd = 'cd {} && python setup_install.py install'.format(cur_dir)
run_cmd(cmd)
# NOTE(Aurelius84): Normally, it's no need to add following codes for users.
# But we simulate to pip install in current process, so interpreter don't snap
# sys.path has been updated. So we update it manually.
# See: https://stackoverflow.com/questions/56974185/import-runtime-installed-module-using-pip-in-python-3
site_dir = site.getsitepackages()[0]
custom_egg_path = [
x for x in os.listdir(site_dir) if 'custom_relu2' in x
]
assert len(custom_egg_path) == 1, "Matched egg number is %d." % len(
custom_egg_path)
sys.path.append(os.path.join(site_dir, custom_egg_path[0]))
def test_api(self):
# usage: import the package directly
import custom_relu2
raw_data = np.array([[-1, 1, 0], [1, -1, -1]]).astype('float32')
gt_data = np.array([[0, 1, 0], [1, 0, 0]]).astype('float32')
x = paddle.to_tensor(raw_data, dtype='float32')
# use custom api
out = custom_relu2.relu2(x)
out3 = custom_relu2.relu3(x)
self.assertTrue(np.array_equal(out.numpy(), gt_data))
self.assertTrue(np.array_equal(out3.numpy(), gt_data))
if __name__ == '__main__':
unittest.main()