wehub-resource-sync
67 lines
2.3 KiB
Python
67 lines
2.3 KiB
Python
# Copyright (c) 2018 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 unittest
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import numpy as np
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from op_test import get_device_place, is_custom_device
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import paddle
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from paddle import base
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from paddle.base import core
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class TestBilinearAPI(unittest.TestCase):
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def test_api(self):
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main = paddle.static.Program()
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startup = paddle.static.Program()
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with paddle.static.program_guard(startup, main):
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if core.is_compiled_with_cuda() or is_custom_device():
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place = get_device_place()
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else:
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place = core.CPUPlace()
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exe = base.Executor(place)
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data1 = paddle.static.data(name='X1', shape=[5, 5], dtype='float32')
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data2 = paddle.static.data(name='X2', shape=[5, 4], dtype='float32')
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layer1 = np.random.random((5, 5)).astype('float32')
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layer2 = np.random.random((5, 4)).astype('float32')
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bilinear = paddle.nn.Bilinear(
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in1_features=5, in2_features=4, out_features=1000
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)
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ret = bilinear(data1, data2)
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exe.run(main)
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ret_fetch = exe.run(
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feed={'X1': layer1, 'X2': layer2}, fetch_list=[ret]
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)
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self.assertEqual(ret_fetch[0].shape, (5, 1000))
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class TestBilinearAPIDygraph(unittest.TestCase):
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def test_api(self):
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paddle.disable_static()
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layer1 = np.random.random((5, 5)).astype('float32')
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layer2 = np.random.random((5, 4)).astype('float32')
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bilinear = paddle.nn.Bilinear(
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in1_features=5, in2_features=4, out_features=1000
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)
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ret = bilinear(paddle.to_tensor(layer1), paddle.to_tensor(layer2))
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self.assertEqual(ret.shape, [5, 1000])
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if __name__ == "__main__":
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unittest.main()
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