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3b2d368 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 | import torch
import torch.nn as nn
import torch.nn.functional as F
from .attention import Attention
from .mlp import MLP
class TransformerBlock(nn.Module):
def __init__(self, config):
super().__init__()
self.config = config
self.attention = Attention(config)
self.ln_attention = nn.LayerNorm(config.embed_dim, elementwise_affine=True)
self.dropout_attention = nn.Dropout(0.1)
self.mlp = MLP(config)
self.ln_mlp = nn.LayerNorm(config.embed_dim, elementwise_affine=True)
self.dropout_mlp = nn.Dropout(0.1)
def forward(self, x):
x = x + self.dropout_attention(self.attention(self.ln_attention(x)))
x = x + self.dropout_mlp(self.mlp(self.ln_mlp(x)))
return x |