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242 lines
8.1 KiB
242 lines
8.1 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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from collections import OrderedDict
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from ..framework import Parameter
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from .layers import Layer
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__all__ = [
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'Sequential',
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'ParameterList',
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'LayerList',
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]
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class Sequential(Layer):
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"""Sequential container.
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Sub layers will be added to this container in the order of argument in the constructor.
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The argument passed to the constructor can be iterable Layers or iterable name Layer pairs.
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Parameters:
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*layers(tuple): Layers or iterable name Layer pairs.
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Examples:
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.. code-block:: python
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import paddle.fluid as fluid
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import numpy as np
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data = np.random.uniform(-1, 1, [30, 10]).astype('float32')
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with fluid.dygraph.guard():
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data = fluid.dygraph.to_variable(data)
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# create Sequential with iterable Layers
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model1 = fluid.dygraph.Sequential(
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fluid.Linear(10, 1), fluid.Linear(1, 2)
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)
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model1[0] # access the first layer
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res1 = model1(data) # sequential execution
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# create Sequential with name Layer pairs
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model2 = fluid.dygraph.Sequential(
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('l1', fluid.Linear(10, 2)),
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('l2', fluid.Linear(2, 3))
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)
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model2['l1'] # access l1 layer
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model2.add_sublayer('l3', fluid.Linear(3, 3)) # add sublayer
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res2 = model2(data) # sequential execution
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"""
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def __init__(self, *layers):
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super(Sequential, self).__init__()
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if len(layers) > 0 and isinstance(layers[0], tuple):
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for name, layer in layers:
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self.add_sublayer(name, layer)
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else:
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for idx, layer in enumerate(layers):
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self.add_sublayer(str(idx), layer)
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def __getitem__(self, name):
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return self._sub_layers[str(name)]
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def __setitem__(self, name, layer):
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assert isinstance(layer, Layer)
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setattr(self, str(name), layer)
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def __delitem__(self, name):
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name = str(name)
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assert name in self._sub_layers
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del self._sub_layers[name]
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def __len__(self):
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return len(self._sub_layers)
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def forward(self, input):
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for layer in self._sub_layers.values():
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input = layer(input)
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return input
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class ParameterList(Layer):
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"""ParameterList Container.
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This container acts like a Python list, but parameters it contains will be properly added.
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Parameters:
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parameters (iterable, optional): Iterable Parameters to be added
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Examples:
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.. code-block:: python
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import paddle.fluid as fluid
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import numpy as np
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class MyLayer(fluid.Layer):
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def __init__(self, num_stacked_param):
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super(MyLayer, self).__init__()
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# create ParameterList with iterable Parameters
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self.params = fluid.dygraph.ParameterList(
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[fluid.layers.create_parameter(
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shape=[2, 2], dtype='float32')] * num_stacked_param)
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def forward(self, x):
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for i, p in enumerate(self.params):
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tmp = self._helper.create_variable_for_type_inference('float32')
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self._helper.append_op(
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type="mul",
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inputs={"X": x,
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"Y": p},
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outputs={"Out": tmp},
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attrs={"x_num_col_dims": 1,
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"y_num_col_dims": 1})
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x = tmp
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return x
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data_np = np.random.uniform(-1, 1, [5, 2]).astype('float32')
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with fluid.dygraph.guard():
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x = fluid.dygraph.to_variable(data_np)
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num_stacked_param = 4
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model = MyLayer(num_stacked_param)
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print(len(model.params)) # 4
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res = model(x)
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print(res.shape) # [5, 2]
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replaced_param = fluid.layers.create_parameter(shape=[2, 3], dtype='float32')
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model.params[num_stacked_param - 1] = replaced_param # replace last param
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res = model(x)
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print(res.shape) # [5, 3]
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model.params.append(fluid.layers.create_parameter(shape=[3, 4], dtype='float32')) # append param
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print(len(model.params)) # 5
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res = model(x)
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print(res.shape) # [5, 4]
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"""
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def __init__(self, parameters=None):
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super(ParameterList, self).__init__()
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if parameters is not None:
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for idx, param in enumerate(parameters):
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assert isinstance(param, Parameter)
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self.add_parameter(str(idx), param)
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def __getitem__(self, idx):
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return self._parameters[str(idx)]
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def __setitem__(self, idx, param):
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assert isinstance(param, Parameter)
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setattr(self, str(idx), param)
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def __len__(self):
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return len(self._parameters)
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def __iter__(self):
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return iter(self._parameters.values())
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def append(self, parameter):
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"""Appends a given parameter at the end of the list.
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Parameters:
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parameter (Parameter): parameter to append
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"""
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idx = len(self._parameters)
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self.add_parameter(str(idx), parameter)
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return self
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class LayerList(Layer):
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"""
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LayerList holds sublayers, and sublayers it contains are properly registered.
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Holded sublayers can be indexed like a regular python list.
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Parameters:
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sublayers (iterable of Layer, optional): sublayers to hold
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Examples:
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.. code-block:: python
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import paddle.fluid as fluid
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import numpy as np
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class MyLayer(fluid.Layer):
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def __init__(self):
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super(MyLayer, self).__init__()
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self.linears = fluid.dygraph.LayerList(
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[fluid.dygraph.Linear(10, 10) for i in range(10)])
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def forward(self, x):
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# LayerList can act as an iterable, or be indexed using ints
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for i, l in enumerate(self.linears):
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x = self.linears[i // 2](x) + l(x)
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return x
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"""
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def __init__(self, sublayers=None):
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super(LayerList, self).__init__()
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if sublayers is not None:
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for idx, layer in enumerate(sublayers):
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self.add_sublayer(str(idx), layer)
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def __getitem__(self, idx):
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if isinstance(idx, slice):
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return self.__class__(list(self._sub_layers.values())[idx])
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else:
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return self._sub_layers[str(idx)]
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def __setitem__(self, idx, sublayer):
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return setattr(self, str(idx), sublayer)
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def __delitem__(self, idx):
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if isinstance(idx, slice):
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for k in range(len(self._sub_layers))[idx]:
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delattr(self, str(k))
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else:
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delattr(self, str(idx))
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str_indices = [str(i) for i in range(len(self._sub_layers))]
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self._sub_layers = OrderedDict(
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list(zip(str_indices, self._sub_layers.values())))
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def __len__(self):
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return len(self._sub_layers)
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def __iter__(self):
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return iter(self._sub_layers.values())
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def append(self, sublayer):
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"""
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Appends a sublayer to the end of the list.
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Parameters:
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sublayer (Layer): sublayer to append
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"""
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self.add_sublayer(str(len(self)), sublayer)
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return self
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