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remove unnecessary check

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This commit is contained in:
Eric Silberstein
2025-11-19 16:31:41 -05:00
parent 4a87a0d19f
commit 5c93a56be5
1 changed files with 1 additions and 2 deletions
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nanochat/gpt.py
+1 -2
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@@ -98,8 +98,7 @@ class CausalSelfAttention(nn.Module):
# First, each query attends to all the cached keys/values (i.e. full prefix) # First, each query attends to all the cached keys/values (i.e. full prefix)
attn_mask = torch.zeros((Tq, Tk), dtype=torch.bool, device=q.device) # True = keep, False = mask attn_mask = torch.zeros((Tq, Tk), dtype=torch.bool, device=q.device) # True = keep, False = mask
prefix_len = Tk - Tq prefix_len = Tk - Tq
if prefix_len > 0: # can't be negative but could be zero attn_mask[:, :prefix_len] = True
attn_mask[:, :prefix_len] = True
# Then, causal attention within this chunk # Then, causal attention within this chunk
attn_mask[:, prefix_len:] = torch.tril(torch.ones((Tq, Tq), dtype=torch.bool, device=q.device)) attn_mask[:, prefix_len:] = torch.tril(torch.ones((Tq, Tq), dtype=torch.bool, device=q.device))
y = F.scaled_dot_product_attention(q, k, v, attn_mask=attn_mask, enable_gqa=enable_gqa) y = F.scaled_dot_product_attention(q, k, v, attn_mask=attn_mask, enable_gqa=enable_gqa)