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cache enc kv proj for cross-attention #106

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cache enc kv proj for cross-attention #106

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27 changes: 22 additions & 5 deletions fireredasr/models/module/transformer_decoder.py
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Original file line number Diff line number Diff line change
Expand Up @@ -113,6 +113,9 @@ def batch_beam_search(self, encoder_outputs, src_masks,
if is_finished.sum().item() == N*B:
break

for dec_layer in self.layer_stack:
dec_layer.cross_attn.clear_states()

# Length penalty (follow GNMT)
scores = scores.view(N, B)
ys = ys.view(N, B, -1)
Expand Down Expand Up @@ -177,7 +180,7 @@ def __init__(self, d_model, n_head, dropout):
self.self_attn = DecoderMultiHeadAttention(d_model, n_head, dropout)

self.cross_attn_norm = nn.LayerNorm(d_model)
self.cross_attn = DecoderMultiHeadAttention(d_model, n_head, dropout)
self.cross_attn = DecoderMultiHeadAttention(d_model, n_head, dropout, is_cross=True)

self.mlp_norm = nn.LayerNorm(d_model)
self.mlp = PositionwiseFeedForward(d_model, d_model*4, dropout)
Expand Down Expand Up @@ -212,7 +215,7 @@ def forward(self, dec_input, enc_output, self_attn_mask, cross_attn_mask,


class DecoderMultiHeadAttention(nn.Module):
def __init__(self, d_model, n_head, dropout=0.1):
def __init__(self, d_model, n_head, dropout=0.1, is_cross = False):
super().__init__()
self.d_model = d_model
self.n_head = n_head
Expand All @@ -226,13 +229,27 @@ def __init__(self, d_model, n_head, dropout=0.1):
temperature=self.d_k ** 0.5)
self.fc = nn.Linear(n_head * self.d_k, d_model)
self.dropout = nn.Dropout(dropout)
self.is_cross = is_cross
self.kv_proj = None

def forward(self, q, k, v, mask=None):
def clear_states(self):
self.kv_proj = None

def forward(self, q, k, v, mask=None, cross_kv_cache=None):
bs = q.size(0)

q = self.w_qs(q).view(bs, -1, self.n_head, self.d_k)
k = self.w_ks(k).view(bs, -1, self.n_head, self.d_k)
v = self.w_vs(v).view(bs, -1, self.n_head, self.d_k)
if self.is_cross:
# cross attention reuse the same k,v projection throughout decoding phase
if self.kv_proj is None:
self.kv_proj = (
self.w_ks(k).view(bs, -1, self.n_head, self.d_k),
self.w_vs(v).view(bs, -1, self.n_head, self.d_k)
)
k,v = self.kv_proj
else:
k = self.w_ks(k).view(bs, -1, self.n_head, self.d_k)
v = self.w_vs(v).view(bs, -1, self.n_head, self.d_k)
q = q.transpose(1, 2)
k = k.transpose(1, 2)
v = v.transpose(1, 2)
Expand Down