RealFormer代码
时间: 2023-10-27 19:07:18 浏览: 35
RealFormer 是一种基于Transformer结构的语言模型,可以用于文本生成、语言理解等任务。以下是一个简单的RealFormer代码示例:
```python
import torch
import torch.nn as nn
import torch.nn.functional as F
class RealFormer(nn.Module):
def __init__(self, vocab_size, d_model, nhead, num_encoder_layers, num_decoder_layers, dim_feedforward, dropout=0.1):
super(RealFormer, self).__init__()
self.encoder = nn.TransformerEncoder(
nn.TransformerEncoderLayer(d_model, nhead, dim_feedforward, dropout),
num_encoder_layers)
self.decoder = nn.TransformerDecoder(
nn.TransformerDecoderLayer(d_model, nhead, dim_feedforward, dropout),
num_decoder_layers)
self.embedding = nn.Embedding(vocab_size, d_model)
self.d_model = d_model
self.fc = nn.Linear(d_model, vocab_size)
def forward(self, src, tgt):
# src: [seq_len, batch_size], tgt: [seq_len, batch_size]
enc_src = self.embedding(src) * math.sqrt(self.d_model)
enc_tgt = self.embedding(tgt) * math.sqrt(self.d_model)
enc_src = self.encoder(enc_src)
dec_out = self.decoder(enc_tgt, enc_src)
dec_out = self.fc(dec_out)
return dec_out
```
这段代码定义了一个基本的RealFormer模型,包括了一个嵌入层、一个编码器、一个解码器和一个全连接层。在正向传播时,它将源序列和目标序列作为输入,通过编码器和解码器将源序列映射到目标序列,并通过全连接层将输出映射到词汇表上。该模型可以通过调整超参数来适应不同的任务和数据集。
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