From 24af4286d5d4a49a160370a3bc58e63be5e96e21 Mon Sep 17 00:00:00 2001
From: zhifu gao <zhifu.gzf@alibaba-inc.com>
Date: 星期二, 11 六月 2024 15:26:35 +0800
Subject: [PATCH] modify the qformer adaptor (#1804)

---
 funasr/models/llm_asr/adaptor.py |   30 ++++++++++++++++++++++++++----
 1 files changed, 26 insertions(+), 4 deletions(-)

diff --git a/funasr/models/llm_asr/adaptor.py b/funasr/models/llm_asr/adaptor.py
index 93534fe..4348213 100644
--- a/funasr/models/llm_asr/adaptor.py
+++ b/funasr/models/llm_asr/adaptor.py
@@ -51,18 +51,40 @@
 
         self.linear = nn.Linear(configuration.hidden_size, self.llm_dim)
         self.norm = nn.LayerNorm(self.llm_dim, eps=1e-5)
+       
+        self.second_per_frame = 0.333333
+        self.second_stride = 0.333333 
 
-    def forward(self, x, atts):
-        query = self.query.expand(x.shape[0], -1, -1)
+    def split_frames(self, speech_embeds):
+        B, T, C = speech_embeds.shape
+        kernel = round(T * self.second_per_frame / 30.0)
+        stride = round(T * self.second_stride / 30.0)
+        kernel = (1, kernel)
+        stride = (1, stride)
+        speech_embeds_tr = speech_embeds.transpose(1, 2).unsqueeze(2)
+        speech_embeds_overlap = torch.nn.functional.unfold(speech_embeds_tr, kernel_size=kernel, dilation=1, padding=0, stride=stride)
+        _, _, L = speech_embeds_overlap.shape
+        speech_embeds_overlap = speech_embeds_overlap.view(B, -1, kernel[1], L)
+        speech_embeds_overlap = torch.permute(speech_embeds_overlap, [0, 3, 2, 1])
+        speech_embeds = speech_embeds_overlap.reshape(-1, kernel[1], C)
+        speech_atts = torch.ones(speech_embeds.size()[:-1], dtype=torch.long, device=speech_embeds.device)
+        return speech_embeds, speech_atts
 
+    def forward(self, x):
+        B, T, C = x.size()
+        encoder_out_feat, attention_mask = self.split_frames(x)
+        query = self.query.expand(encoder_out_feat.shape[0], -1, -1)
+
+   
         query_output = self.qformer(
             query_embeds=query,
-            encoder_hidden_states=x,
-            encoder_attention_mask=atts,
+            encoder_hidden_states=encoder_out_feat,
+            encoder_attention_mask=attention_mask,
             return_dict=True,
         )
 
         query_proj = self.norm(self.linear(query_output.last_hidden_state))
+        query_proj = query_proj.view(B, -1, query_proj.size(2)).contiguous()
 
         return query_proj
 

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