From 59bc02b089f7a626fe67907dcfc695eae6883f82 Mon Sep 17 00:00:00 2001
From: 游雁 <zhifu.gzf@alibaba-inc.com>
Date: 星期五, 14 六月 2024 13:59:49 +0800
Subject: [PATCH] decoding
---
funasr/models/llm_asr/model.py | 38 ++++++++++++++++++++++++++++++++------
1 files changed, 32 insertions(+), 6 deletions(-)
diff --git a/funasr/models/llm_asr/model.py b/funasr/models/llm_asr/model.py
index 6e7939b..84d7d33 100644
--- a/funasr/models/llm_asr/model.py
+++ b/funasr/models/llm_asr/model.py
@@ -422,7 +422,7 @@
layer_id = int(name[beg + 1 : end - 1])
if layer_id < freeze_layer_num:
param.requires_grad = False
- elif not name.startswith("audio_encoder.ln_post"):
+ elif "ln_post." not in name:
param.requires_grad = False
else:
param.requires_grad = False
@@ -496,11 +496,12 @@
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.encode(speech, 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)
@@ -562,6 +563,12 @@
batch_size = int((labels_ids > 0 + 1).sum())
loss, stats, weight = force_gatherable((loss, stats, batch_size), loss.device)
return loss, stats, weight
+
+ def encode(self, speech, speech_lengths):
+ # audio encoder
+ encoder_out, encoder_out_lens = self.audio_encoder(speech.permute(0, 2, 1), speech_lengths)
+
+ return encoder_out, encoder_out_lens
def data_template(self, data):
system, user, assistant = [], [], []
@@ -718,7 +725,8 @@
speech = speech.to(torch.float16)
elif kwargs.get("bf16", False):
speech = speech.to(torch.bfloat16)
- encoder_out, encoder_out_lens = self.audio_encoder(speech.permute(0, 2, 1), speech_lengths)
+ # audio encoder
+ encoder_out, encoder_out_lens = self.encode(speech, speech_lengths)
# audio_adaptor
encoder_out, encoder_out_lens = self.audio_adaptor(encoder_out, encoder_out_lens)
@@ -803,3 +811,21 @@
ibest_writer["text_tn"][key[0]] = response_clean
return results, meta_data
+
+
+@tables.register("model_classes", "LLMASR3")
+class LLMASR3(nn.Module):
+ """ """
+
+ def __init__(
+ self,
+ *args,
+ **kwargs,
+ ):
+
+ super().__init__(*args, **kwargs)
+
+ def encode(self, speech, speech_lengths):
+ # audio encoder
+ encoder_out, encoder_out_lens = self.audio_encoder(speech, speech_lengths)
+ return encoder_out, encoder_out_lens
--
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