Question

我的模型中有以下组件：

feedfnn = []
for task_name, num_class in self.tasks:
    if self.config.nonlinear_fc:
        ffnn = nn.Sequential(OrderedDict([
            ('dropout1', nn.Dropout(self.config.dropout_fc)),
            ('dense1', nn.Linear(self.config.nhid * self.num_directions * 8, self.config.fc_dim)),
            ('tanh', nn.Tanh()),
            ('dropout2', nn.Dropout(self.config.dropout_fc)),
            ('dense2', nn.Linear(self.config.fc_dim, self.config.fc_dim)),
            ('tanh', nn.Tanh()),
            ('dropout3', nn.Dropout(self.config.dropout_fc)),
            ('dense3', nn.Linear(self.config.fc_dim, num_class))
        ]))
    else:
        ffnn = nn.Sequential(OrderedDict([
            ('dropout1', nn.Dropout(self.config.dropout_fc)),
            ('dense1', nn.Linear(self.config.nhid * self.num_directions * 8, self.config.fc_dim)),
            ('dropout2', nn.Dropout(self.config.dropout_fc)),
            ('dense2', nn.Linear(self.config.fc_dim, self.config.fc_dim)),
            ('dropout3', nn.Dropout(self.config.dropout_fc)),
            ('dense3', nn.Linear(self.config.fc_dim, num_class))
        ]))
    feedfnn.append(ffnn)
self.ffnn = nn.ModuleList(feedfnn)

当我打印我的模型时，我得到上述组件的描述：

(ffnn): ModuleList (
(0): Sequential (
  (dropout1): Dropout (p = 0)
  (dense1): Linear (4096 -> 512)
  (dropout2): Dropout (p = 0)
  (dense2): Linear (512 -> 512)
  (dropout3): Dropout (p = 0)
  (dense3): Linear (512 -> 2)
)
(1): Sequential (
  (dropout1): Dropout (p = 0)
  (dense1): Linear (4096 -> 512)
  (dropout2): Dropout (p = 0)
  (dense2): Linear (512 -> 512)
  (dropout3): Dropout (p = 0)
  (dense3): Linear (512 -> 3)
)
(2): Sequential (
  (dropout1): Dropout (p = 0)
  (dense1): Linear (4096 -> 512)
  (dropout2): Dropout (p = 0)
  (dense2): Linear (512 -> 512)
  (dropout3): Dropout (p = 0)
  (dense3): Linear (512 -> 3)
)
)

我可以使用(task1): Sequential，(task2): Sequential代替(0): Sequential，(1): Sequential等特定名称吗？

Answer 1

那很简单。

只需以空ModuleList开头，然后使用add_module即可。例如，

import torch.nn as nn
from collections import OrderedDict

final_module_list = nn.ModuleList()

a_sequential_module_with_names = nn.Sequential(OrderedDict([
        ('dropout1', nn.Dropout(0.1)),
        ('dense1', nn.Linear(10, 10)),
        ('tanh', nn.Tanh()),
        ('dropout2', nn.Dropout(0.1)),
        ('dense2', nn.Linear(10, 10)),
        ('tanh', nn.Tanh()),
        ('dropout3', nn.Dropout(0.1)),
        ('dense3', nn.Linear(10, 10))]))

final_module_list.add_module('Stage 1', a_sequential_module_with_names)
final_module_list.add_module('Stage 2', a_sequential_module_with_names)
etc.

如何为ModuleList中的每个模块命名？

1 个答案: