wehub-resource-sync
80 lines
2.6 KiB
Python
80 lines
2.6 KiB
Python
# Copyright (c) 2025 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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os.environ['FLAGS_enable_pir_api'] = '0'
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import paddle
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from paddle.base import core
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class TestPaddleSub(unittest.TestCase):
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def setUp(self):
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self.x_np = np.array([3, 5], dtype='float32')
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self.y_np = np.array([2, 3], dtype='float32')
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self.scalar = 2.0
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self.place = (
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core.CUDAPlace(0)
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if core.is_compiled_with_cuda()
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else core.CPUPlace()
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)
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def test_static_graph_add_with_alpha(self):
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"""test static graph sub with alpha and parameter aliases"""
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paddle.enable_static()
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x = paddle.static.data(name='x', shape=[-1, 2], dtype='float32')
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y = paddle.static.data(name='y', shape=[-1, 2], dtype='float32')
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out1 = paddle.sub(x, y, alpha=2)
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out2 = paddle.sub(input=x, other=y, alpha=2)
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exe = paddle.static.Executor(self.place)
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res = exe.run(
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feed={
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'x': self.x_np.reshape(1, 2),
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'y': self.y_np.reshape(1, 2),
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},
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fetch_list=[out1, out2],
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)
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expected = self.x_np - self.y_np * 2
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for result in res:
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np.testing.assert_array_equal(result.flatten(), expected)
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paddle.disable_static()
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def test_static_graph_add_with_alpha_1(self):
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paddle.enable_static()
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"""Test static graph sub with alpha=1 (default behavior)"""
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x = paddle.static.data(name='x', shape=[-1, 2], dtype='float32')
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y = paddle.static.data(name='y', shape=[-1, 2], dtype='float32')
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out = paddle.sub(x, y, alpha=1)
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exe = paddle.static.Executor(self.place)
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res = exe.run(
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feed={
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'x': self.x_np.reshape(1, 2),
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'y': self.y_np.reshape(1, 2),
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},
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fetch_list=[out],
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)
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expected = self.x_np - self.y_np
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np.testing.assert_array_equal(res[0].flatten(), expected)
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paddle.disable_static()
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if __name__ == "__main__":
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unittest.main()
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