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120 lines
4.9 KiB
120 lines
4.9 KiB
# 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.fluid as fluid
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import paddle
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class MyLayer(fluid.Layer):
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def __init__(self, num_channel, dim, num_filter=5):
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super(MyLayer, self).__init__()
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self.fc = fluid.dygraph.Linear(dim, dim)
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self.conv = fluid.dygraph.Conv2D(num_channel, num_channel, num_filter)
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def forward(self, x):
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x = self.fc(x)
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x = self.conv(x)
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return x
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class TestImperativeNamedSubLayers(unittest.TestCase):
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def test_named_sublayers(self):
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with fluid.dygraph.guard():
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fc1 = fluid.Linear(10, 3)
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fc2 = fluid.Linear(3, 10, bias_attr=False)
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custom = MyLayer(3, 10)
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model = fluid.dygraph.Sequential(fc1, fc2, custom)
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named_sublayers = model.named_sublayers()
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list_named_sublayers = list(named_sublayers)
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expected_sublayers = [fc1, fc2, custom, custom.fc, custom.conv]
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self.assertEqual(len(list_named_sublayers), len(expected_sublayers))
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for (name, sublayer), expected_sublayer in zip(list_named_sublayers,
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expected_sublayers):
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self.assertEqual(sublayer, expected_sublayer)
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list_sublayers = list(model.sublayers())
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self.assertEqual(len(list_named_sublayers), len(list_sublayers))
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for (name, sublayer), expected_sublayer in zip(list_named_sublayers,
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list_sublayers):
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self.assertEqual(sublayer, expected_sublayer)
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for name, sublayer in model.named_sublayers(
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include_sublayers=False):
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self.assertEqual(model[name], sublayer)
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self.assertListEqual(
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[l for _, l in list(model.named_sublayers(include_self=True))],
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[model] + expected_sublayers)
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class TestImperativeNamedParameters(unittest.TestCase):
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def test_named_parameters(self):
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with fluid.dygraph.guard():
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fc1 = fluid.Linear(10, 3)
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fc2 = fluid.Linear(3, 10, bias_attr=False)
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custom = MyLayer(3, 10)
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model = paddle.nn.Sequential(fc1, fc2, custom)
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named_parameters = list(model.named_parameters())
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expected_named_parameters = list()
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for prefix, layer in model.named_sublayers(include_sublayers=True):
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for name, param in layer.named_parameters(
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include_sublayers=False):
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full_name = prefix + ('.' if prefix else '') + name
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expected_named_parameters.append((full_name, param))
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self.assertListEqual(expected_named_parameters, named_parameters)
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def test_dir_layer(self):
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with fluid.dygraph.guard():
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class Mymodel(fluid.dygraph.Layer):
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def __init__(self):
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super(Mymodel, self).__init__()
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self.linear1 = fluid.dygraph.Linear(10, 10)
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self.linear2 = fluid.dygraph.Linear(5, 5)
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self.conv2d = fluid.dygraph.Conv2D(3, 2, 3)
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self.embedding = fluid.dygraph.Embedding(size=[128, 16])
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self.h_0 = fluid.dygraph.to_variable(
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np.zeros([10, 10]).astype('float32'))
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self.weight = self.create_parameter(
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shape=[2, 3],
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attr=fluid.ParamAttr(),
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dtype="float32",
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is_bias=False)
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model = Mymodel()
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expected_members = dir(model)
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self.assertTrue("linear1" in expected_members,
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"model should contain Layer: linear1")
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self.assertTrue("linear2" in expected_members,
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"model should contain Layer: linear2")
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self.assertTrue("conv2d" in expected_members,
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"model should contain Layer: conv2d")
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self.assertTrue("embedding" in expected_members,
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"model should contain Layer: embedding")
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self.assertTrue("h_0" in expected_members,
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"model should contain buffer: h_0")
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self.assertTrue("weight" in expected_members,
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"model should contain parameter: weight")
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if __name__ == '__main__':
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unittest.main()
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