wehub-resource-sync
103 lines
3.4 KiB
Python
103 lines
3.4 KiB
Python
# Copyright (c) 2019 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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import paddle
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from paddle import base
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class MyLayer(paddle.nn.Layer):
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def __init__(self, layerlist):
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super().__init__()
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self.layerlist = layerlist
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def forward(self, x):
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for l in self.layerlist:
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x = l(x)
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return x
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class TestImperativeContainer(unittest.TestCase):
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def paddle_imperative_list(self):
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return paddle.nn.LayerList(
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[paddle.nn.Linear(2**i, 2 ** (i + 1)) for i in range(6)]
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)
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def layer_list(self, use_base_api):
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data_np = np.random.uniform(-1, 1, [5, 1]).astype('float32')
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with base.dygraph.guard():
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x = paddle.to_tensor(data_np)
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layerlist = self.paddle_imperative_list()
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size = len(layerlist)
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model = MyLayer(layerlist)
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res1 = model(x)
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self.assertListEqual(res1.shape, [5, 2**size])
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model.layerlist[size - 1] = paddle.nn.Linear(2 ** (size - 1), 5)
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res2 = model(x)
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self.assertListEqual(res2.shape, [5, 5])
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del model.layerlist[size - 1]
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res3 = model(x)
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self.assertListEqual(res3.shape, [5, 2 ** (size - 1)])
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model.layerlist.append(paddle.nn.Linear(2 ** (size - 1), 3))
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res4 = model(x)
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self.assertListEqual(res4.shape, [5, 3])
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res4.backward()
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model2 = MyLayer(layerlist[:-1])
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res5 = model2(x)
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self.assertListEqual(res5.shape, [5, 2 ** (size - 1)])
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del model2.layerlist[1:]
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res6 = model2(x)
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self.assertListEqual(res6.shape, [5, 2 ** (0 + 1)])
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res6.backward()
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model3 = MyLayer(layerlist[:-2])
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model3.layerlist.append(paddle.nn.Linear(3, 1))
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model3.layerlist.insert(
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size - 2, paddle.nn.Linear(2 ** (size - 2), 3)
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)
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res7 = model3(x)
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self.assertListEqual(res7.shape, [5, 1])
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to_be_extended = [
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paddle.nn.Linear(3**i, 3 ** (i + 1)) for i in range(3)
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]
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model3.layerlist.extend(to_be_extended)
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res8 = model3(x)
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self.assertListEqual(res8.shape, [5, 3**3])
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res8.backward()
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model4 = MyLayer(layerlist[:3])
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model4.layerlist[-1] = paddle.nn.Linear(4, 5)
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res9 = model4(x)
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self.assertListEqual(res9.shape, [5, 5])
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del model4.layerlist[-1]
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res10 = model4(x)
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self.assertListEqual(res10.shape, [5, 4])
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model4.layerlist.insert(-1, paddle.nn.Linear(2, 2))
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res11 = model4(x)
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self.assertListEqual(res11.shape, [5, 4])
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res11.backward()
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def test_test_layer_list(self):
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self.layer_list(True)
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self.layer_list(False)
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if __name__ == '__main__':
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unittest.main()
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