LayerDict¶

class paddle.nn. LayerDict ( sublayers=None ) [源代码] ¶

LayerDict 用于保存子层到有序字典中，它包含的子层将被正确地注册和添加。列表中的子层可以像常规 python 有序字典一样被访问。

参数¶

sublayers (LayerDict|OrderedDict|list[(key, Layer)]，可选) - 键值对的可迭代对象，值的类型为 paddle.nn.Layer 。

代码示例¶

          import paddle
import numpy as np
from collections import OrderedDict

sublayers = OrderedDict([
    ('conv1d', paddle.nn.Conv1D(3, 2, 3)),
    ('conv2d', paddle.nn.Conv2D(3, 2, 3)),
    ('conv3d', paddle.nn.Conv3D(4, 6, (3, 3, 3))),
])

layers_dict = paddle.nn.LayerDict(sublayers=sublayers)

l = layers_dict['conv1d']

for k in layers_dict:
    l = layers_dict[k]

len(layers_dict)
#3

del layers_dict['conv2d']
len(layers_dict)
#2

conv1d = layers_dict.pop('conv1d')
len(layers_dict)
#1

layers_dict.clear()
len(layers_dict)
#0

         

方法¶

clear()¶

清除 LayerDict 中所有的子层。

参数

无。

代码示例

           import paddle
from collections import OrderedDict

sublayers = OrderedDict([
    ('conv1d', paddle.nn.Conv1D(3, 2, 3)),
    ('conv2d', paddle.nn.Conv2D(3, 2, 3)),
    ('conv3d', paddle.nn.Conv3D(4, 6, (3, 3, 3))),
])

layer_dict = paddle.nn.LayerDict(sublayers=sublayers)
len(layer_dict)
#3

layer_dict.clear()
len(layer_dict)
#0

          

pop()¶

移除 LayerDict 中的键并且返回该键对应的子层。

参数

key (str) - 要移除的 key。

代码示例

           import paddle
from collections import OrderedDict

sublayers = OrderedDict([
    ('conv1d', paddle.nn.Conv1D(3, 2, 3)),
    ('conv2d', paddle.nn.Conv2D(3, 2, 3)),
    ('conv3d', paddle.nn.Conv3D(4, 6, (3, 3, 3))),
])

layer_dict = paddle.nn.LayerDict(sublayers=sublayers)
len(layer_dict)
#3

layer_dict.pop('conv2d')
len(layer_dict)
#2

          

keys()¶

返回 LayerDict 中键的可迭代对象。

参数

无。

代码示例

           import paddle
from collections import OrderedDict

sublayers = OrderedDict([
    ('conv1d', paddle.nn.Conv1D(3, 2, 3)),
    ('conv2d', paddle.nn.Conv2D(3, 2, 3)),
    ('conv3d', paddle.nn.Conv3D(4, 6, (3, 3, 3))),
])

layer_dict = paddle.nn.LayerDict(sublayers=sublayers)
for k in layer_dict.keys():
    print(k)

#conv1d
#conv2d
#conv3d

          

items()¶

返回 LayerDict 中键/值对的可迭代对象。

参数

无。

代码示例

           import paddle
from collections import OrderedDict

sublayers = OrderedDict([
    ('conv1d', paddle.nn.Conv1D(3, 2, 3)),
    ('conv2d', paddle.nn.Conv2D(3, 2, 3)),
    ('conv3d', paddle.nn.Conv3D(4, 6, (3, 3, 3))),
])

layer_dict = paddle.nn.LayerDict(sublayers=sublayers)
for k, v in layer_dict.items():
    print(k, ":", v)

#conv1d : Conv1D(3, 2, kernel_size=[3], data_format=NCL)
#conv2d : Conv2D(3, 2, kernel_size=[3, 3], data_format=NCHW)
#conv3d : Conv3D(4, 6, kernel_size=[3, 3, 3], data_format=NCDHW)

          

values()¶

返回 LayerDict 中值的可迭代对象。

参数

无。

代码示例

           import paddle
from collections import OrderedDict

sublayers = OrderedDict([
    ('conv1d', paddle.nn.Conv1D(3, 2, 3)),
    ('conv2d', paddle.nn.Conv2D(3, 2, 3)),
    ('conv3d', paddle.nn.Conv3D(4, 6, (3, 3, 3))),
])

layer_dict = paddle.nn.LayerDict(sublayers=sublayers)
for v in layer_dict.values():
    print(v)

#Conv1D(3, 2, kernel_size=[3], data_format=NCL)
#Conv2D(3, 2, kernel_size=[3, 3], data_format=NCHW)
#Conv3D(4, 6, kernel_size=[3, 3, 3], data_format=NCDHW)

          

update()¶

更新子层中的键/值对到 LayerDict 中，会覆盖已经存在的键。

参数

sublayers (LayerDict|OrderedDict|list[(key, Layer)]) - 键值对的可迭代对象，值的类型为 paddle.nn.Layer 。

代码示例

           import paddle
from collections import OrderedDict

sublayers = OrderedDict([
    ('conv1d', paddle.nn.Conv1D(3, 2, 3)),
    ('conv2d', paddle.nn.Conv2D(3, 2, 3)),
    ('conv3d', paddle.nn.Conv3D(4, 6, (3, 3, 3))),
])

new_sublayers = OrderedDict([
    ('relu', paddle.nn.ReLU()),
    ('conv2d', paddle.nn.Conv2D(4, 2, 4)),
])
layer_dict = paddle.nn.LayerDict(sublayers=sublayers)

layer_dict.update(new_sublayers)

for k, v in layer_dict.items():
    print(k, ":", v)
#conv1d : Conv1D(3, 2, kernel_size=[3], data_format=NCL)
#conv2d : Conv2D(4, 2, kernel_size=[4, 4], data_format=NCHW)
#conv3d : Conv3D(4, 6, kernel_size=[3, 3, 3], data_format=NCDHW)
#relu : ReLU()

          