wehub-resource-sync
117 lines
3.5 KiB
Python
117 lines
3.5 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, 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()}\\dispatch_op\\dispatch_op.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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dispatch_op = load(
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name='dispatch_op',
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sources=['dispatch_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,
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verbose=True,
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)
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class TestJitDispatch(unittest.TestCase):
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def setUp(self):
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paddle.set_device('cpu')
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def run_dispatch_test(self, func, dtype):
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np_x = np.ones([2, 2]).astype(dtype)
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x = paddle.to_tensor(np_x)
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out = func(x)
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np_x = x.numpy()
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np_out = out.numpy()
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self.assertTrue(dtype in str(np_out.dtype))
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np.testing.assert_array_equal(
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np_x,
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np_out,
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err_msg=f'custom op x: {np_x},\n custom op out: {np_out}',
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)
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def test_dispatch_integer(self):
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dtypes = ["int32", "int64", "int8", "uint8", "int16"]
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for dtype in dtypes:
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self.run_dispatch_test(dispatch_op.dispatch_test_integer, dtype)
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def test_dispatch_complex(self):
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dtypes = ["complex64", "complex128"]
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for dtype in dtypes:
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self.run_dispatch_test(dispatch_op.dispatch_test_complex, dtype)
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def test_dispatch_float_and_integer(self):
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dtypes = [
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"float32",
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"float64",
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"int32",
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"int64",
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"int8",
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"uint8",
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"int16",
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]
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for dtype in dtypes:
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self.run_dispatch_test(
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dispatch_op.dispatch_test_float_and_integer, dtype
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)
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def test_dispatch_float_and_complex(self):
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dtypes = ["float32", "float64", "complex64", "complex128"]
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for dtype in dtypes:
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self.run_dispatch_test(
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dispatch_op.dispatch_test_float_and_complex, dtype
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)
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def test_dispatch_float_and_integer_and_complex(self):
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dtypes = [
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"float32",
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"float64",
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"int32",
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"int64",
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"int8",
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"uint8",
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"int16",
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"complex64",
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"complex128",
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]
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for dtype in dtypes:
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self.run_dispatch_test(
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dispatch_op.dispatch_test_float_and_integer_and_complex, dtype
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)
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def test_dispatch_float_and_half(self):
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dtypes = ["float32", "float64", "float16"]
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for dtype in dtypes:
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self.run_dispatch_test(
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dispatch_op.dispatch_test_float_and_half, dtype
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)
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if __name__ == '__main__':
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unittest.main()
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