better tinyAtt

Author: www

RWKV-v4neo/src/model.py

@@ -234,10 +234,11 @@ def __init__(self, args, layer_id):
         self.ffn = RWKV_ChannelMix(args, layer_id)
 
         if args.tiny_att_dim > 0 and self.layer_id == args.tiny_att_layer:
-            self.head_q = nn.Linear(args.n_embd, args.tiny_att_dim, bias=False)
-            self.head_k = nn.Linear(args.n_embd, args.tiny_att_dim, bias=False)
-            self.head_v = nn.Linear(args.n_embd, args.n_embd, bias=False)
-            self.register_buffer("head_mask", torch.tril(torch.ones(args.ctx_len, args.ctx_len)))
+            self.tiny_ln = nn.LayerNorm(args.n_embd)
+            self.tiny_q = nn.Linear(args.n_embd, args.tiny_att_dim, bias=False)
+            self.tiny_k = nn.Linear(args.n_embd, args.tiny_att_dim, bias=False)
+            self.tiny_v = nn.Linear(args.n_embd, args.n_embd, bias=False)
+            self.register_buffer("tiny_mask", torch.tril(torch.ones(args.ctx_len, args.ctx_len)))
 
     def forward(self, x, x_emb=None):
         args = self.args
@@ -255,11 +256,12 @@ def forward(self, x, x_emb=None):
         x = x + self.ffn(self.ln2(x))
 
         if args.tiny_att_dim > 0 and self.layer_id == args.tiny_att_layer:
-            q = self.head_q(x)[:, :T, :]
-            k = self.head_k(x)[:, :T, :]
-            c = (q @ k.transpose(-2, -1)) * (1.0 / args.tiny_att_downscale)
-            c = c.masked_fill(self.head_mask[:T, :T] == 0, 0)
-            x = x + c @ self.head_v(x_emb)
+            xx = self.tiny_ln(x)
+            q = self.tiny_q(xx)[:, :T, :]
+            k = self.tiny_k(xx)[:, :T, :]
+            c = (q @ k.transpose(-2, -1)) * (args.tiny_att_dim ** (-0.5))
+            c = c.masked_fill(self.tiny_mask[:T, :T] == 0, 0)
+            x = x + c @ self.tiny_v(x_emb)
         return x
 
 

RWKV-v4neo/train.py

@@ -70,7 +70,6 @@
     parser.add_argument("--head_qk", default=0, type=int)  # my headQK trick
     parser.add_argument("--tiny_att_dim", default=0, type=int)  # tiny attention dim
     parser.add_argument("--tiny_att_layer", default=-999, type=int)  # tiny attention @ which layer
-    parser.add_argument("--tiny_att_downscale", default=0, type=float)
 
     parser.add_argument("--lr_init", default=6e-4, type=float)  # 6e-4 for L12-D768, 4e-4 for L24-D1024, 3e-4 for L24-D2048
     parser.add_argument("--lr_final", default=1e-5, type=float)