ISTM pytorch
时间: 2023-12-07 16:39:37 浏览: 30
以下是ISTM在PyTorch中的实现方法:
```python
import torch
import torch.nn as nn
class ISTM(nn.Module):
def __init__(self, input_dim, hidden_dim, output_dim):
super().__init__()
self.linear1 = nn.Linear(input_dim, hidden_dim)
self.linear2 = nn.Linear(hidden_dim, output_dim)
self.relu = nn.ReLU()
self.softmax = nn.Softmax(dim=1)
def forward(self, x):
x = self.linear1(x)
x = self.relu(x)
x = self.linear2(x)
x = self.softmax(x)
return x
# 模型初始化
input_dim = list(model.buffers())[0].size()[1]
hidden_dim = 128
output_dim = 2
model = ISTM(input_dim, hidden_dim, output_dim)
# 查看模型参数
print(model._parameters.keys()) # 输出:odict_keys(['linear1.weight', 'linear1.bias', 'linear2.weight', 'linear2.bias'])
# 训练模型
criterion = nn.CrossEntropyLoss()
optimizer = torch.optim.Adam(model.parameters(), lr=0.001)
for epoch in range(num_epochs):
# 训练代码
```