From d72df6cd2f1914a749db0778233f3a66f447894a Mon Sep 17 00:00:00 2001
From: 游雁 <zhifu.gzf@alibaba-inc.com>
Date: 星期四, 13 六月 2024 17:45:33 +0800
Subject: [PATCH] decoding

---
 funasr/models/llm_asr/model.py |   19 ++++++++++++-------
 1 files changed, 12 insertions(+), 7 deletions(-)

diff --git a/funasr/models/llm_asr/model.py b/funasr/models/llm_asr/model.py
index e1e331d..80c33fc 100644
--- a/funasr/models/llm_asr/model.py
+++ b/funasr/models/llm_asr/model.py
@@ -449,9 +449,9 @@
             for name, param in model.named_parameters():
                 param.requires_grad = False
             model.eval()
-        self.llm = model
-        llm_dim = model.get_input_embeddings().weight.shape[-1]
         self.llm_dtype = llm_conf.get("llm_dtype", "fp32")
+        self.llm = model.to(dtype_map[self.llm_dtype])
+        llm_dim = model.get_input_embeddings().weight.shape[-1]
 
         # adaptor
         adaptor_class = tables.adaptor_classes.get(audio_adaptor)
@@ -496,11 +496,14 @@
 
         batch_size, frames, _ = speech.shape
 
-        # audio encoder
-        encoder_out, encoder_out_lens = self.audio_encoder(speech.permute(0, 2, 1), speech_lengths)
+        with torch.cuda.amp.autocast(enabled=False):
+            # audio encoder
+            encoder_out, encoder_out_lens = self.audio_encoder(
+                speech.permute(0, 2, 1), speech_lengths
+            )
 
-        # audio_adaptor
-        encoder_out, encoder_out_lens = self.audio_adaptor(encoder_out, encoder_out_lens)
+            # audio_adaptor
+            encoder_out, encoder_out_lens = self.audio_adaptor(encoder_out, encoder_out_lens)
 
         input_ids[input_ids < 0] = 0
         inputs_embeds = self.llm.model.get_input_embeddings()(input_ids)
@@ -536,7 +539,9 @@
             labels_ids[labels_ids == -1] = -100
             attention_mask[attention_mask < 0] = 0
             model_outputs = self.llm(
-                inputs_embeds=inputs_embeds, attention_mask=attention_mask, labels=labels_ids
+                inputs_embeds=inputs_embeds.to(dtype_map[self.llm_dtype]),
+                attention_mask=attention_mask,
+                labels=labels_ids,
             )
             loss = model_outputs.loss
 

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