生成transformer伪代码
时间: 2023-04-10 14:04:43 浏览: 178
可以参考以下伪代码:
class Transformer:
def __init__(self, num_layers, d_model, num_heads, d_ff, dropout):
self.num_layers = num_layers
self.d_model = d_model
self.num_heads = num_heads
self.d_ff = d_ff
self.dropout = dropout
# Encoder layers
self.enc_layers = [EncoderLayer(d_model, num_heads, d_ff, dropout) for _ in range(num_layers)]
self.enc_norm = nn.LayerNorm(d_model)
# Decoder layers
self.dec_layers = [DecoderLayer(d_model, num_heads, d_ff, dropout) for _ in range(num_layers)]
self.dec_norm = nn.LayerNorm(d_model)
# Final linear layer
self.fc = nn.Linear(d_model, vocab_size)
def forward(self, src, trg, src_mask, trg_mask):
# Encoder
enc_output = src
for layer in self.enc_layers:
enc_output = layer(enc_output, src_mask)
enc_output = self.enc_norm(enc_output)
# Decoder
dec_output = trg
for layer in self.dec_layers:
dec_output = layer(dec_output, enc_output, trg_mask, src_mask)
dec_output = self.dec_norm(dec_output)
# Final linear layer
output = self.fc(dec_output)
return output
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