wehub-resource-sync
100 lines
3.1 KiB
Python
100 lines
3.1 KiB
Python
# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import os
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import unittest
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import numpy as np
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from utils import extra_cc_args, extra_nvcc_args, paddle_includes
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import paddle
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from paddle.utils.cpp_extension import get_build_directory, load
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from paddle.utils.cpp_extension.extension_utils import run_cmd
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# Because Windows don't use docker, the shared lib already exists in the
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# cache dir, it will not be compiled again unless the shared lib is removed.
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file = f'{get_build_directory()}\\custom_attrs_jit\\custom_attrs_jit.pyd'
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if os.name == 'nt' and os.path.isfile(file):
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cmd = f'del {file}'
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run_cmd(cmd, True)
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# Compile and load custom op Just-In-Time.
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custom_attrs = load(
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name='custom_attrs_jit',
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sources=['attr_test_op.cc'],
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extra_include_paths=paddle_includes, # add for Coverage CI
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extra_cxx_cflags=extra_cc_args, # test for cflags
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extra_cuda_cflags=extra_nvcc_args, # test for cflags
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verbose=True,
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)
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class TestJitCustomAttrs(unittest.TestCase):
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def setUp(self):
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paddle.set_device('cpu')
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# prepare test value
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self.bool_attr = True
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self.int_attr = 10
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self.float_attr = 3.14
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self.int64_attr = 10000000000
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self.str_attr = "StrAttr"
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self.int_vec_attr = [10, 10, 10]
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self.float_vec_attr = [3.14, 3.14, 3.14]
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self.int64_vec_attr = [10000000000, 10000000000, 10000000000]
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self.str_vec_attr = ["StrAttr", "StrAttr", "StrAttr"]
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def test_func_attr_value(self):
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x = paddle.ones([2, 2], dtype='float32')
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x.stop_gradient = False
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out = custom_attrs.attr_test(
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x,
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self.bool_attr,
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self.int_attr,
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self.float_attr,
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self.int64_attr,
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self.str_attr,
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self.int_vec_attr,
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self.float_vec_attr,
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self.int64_vec_attr,
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self.str_vec_attr,
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)
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out.stop_gradient = False
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out.backward()
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np.testing.assert_array_equal(x.numpy(), out.numpy())
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def test_const_attr_value(self):
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x = paddle.ones([2, 2], dtype='float32')
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x.stop_gradient = False
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out = custom_attrs.const_attr_test(
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x,
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self.bool_attr,
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self.int_attr,
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self.float_attr,
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self.int64_attr,
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self.str_attr,
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self.int_vec_attr,
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self.float_vec_attr,
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self.int64_vec_attr,
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self.str_vec_attr,
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)
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out.stop_gradient = False
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out.backward()
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np.testing.assert_array_equal(x.numpy(), out.numpy())
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if __name__ == '__main__':
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unittest.main()
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