(self, layer_id: int, args)
| 226 | |
| 227 | class TransformerBlock(nn.Module): |
| 228 | def __init__(self, layer_id: int, args): |
| 229 | super().__init__() |
| 230 | self.n_heads = args.n_head |
| 231 | self.dim = args.hidden_size |
| 232 | self.head_dim = args.hidden_size // args.n_head |
| 233 | self.self_attention = FalconAttentionFused(args) |
| 234 | self.mlp = FalconMLP(dim=args.hidden_size) |
| 235 | self.layer_id = layer_id |
| 236 | self.input_layernorm = nn.LayerNorm( |
| 237 | args.hidden_size, eps=args.layer_norm_epsilon |
| 238 | ) |
| 239 | # self.post_attention_layernorm = nn.LayerNorm(args.dim, eps=args.norm_eps) |
| 240 | |
| 241 | def forward( |
| 242 | self, |
nothing calls this directly
no test coverage detected