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游雁 2024-06-07 18:44:14 +08:00
parent 162efb747f
commit 526c810bd7
2 changed files with 19 additions and 5 deletions
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3
funasr/datasets/openai_datasets/datasets.py
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@ -155,6 +155,9 @@ class OpenAIDataset(torch.utils.data.Dataset):
fbank_beg.append(fbank_beg_i)
if len(input_ids) > self.max_token_length:
logging.info(
f"input_ids > max_token_length: {len(input_ids)}>{self.max_token_length}, {item}"
)
badcase_flag = True
if badcase_flag:
continue

21
funasr/models/llm_asr/model.py
View File

@ -485,13 +485,24 @@ class LLMASR2(nn.Module):
# _, l, _ = encoder_out.shape
for batch_idx in range(batch_size):
l = fbank_fake_lens[batch_idx].item()
fbank_fake_len = fbank_fake_lens[batch_idx].item()
fbank_beg_idx = fbank_beg[batch_idx, 0].item()
min_len = min(l, inputs_embeds.shape[1] - fbank_beg_idx)
min_len = min(fbank_fake_len, inputs_embeds.shape[1] - fbank_beg_idx)
try:
inputs_embeds[batch_idx, fbank_beg_idx : fbank_beg_idx + min_len, :] = encoder_out[
batch_idx, :min_len, :
]
except Exception as e:
logging.error(f"{str(e)}, {traceback.format_exc()}")
logging.info(
f"batch_idx: {batch_idx}, inputs_embeds: {inputs_embeds.shape}, fbank_beg_idx: {fbank_beg_idx}, min_len: {min_len}, fbank_fake_len: {fbank_fake_len}"
)
fbank_fake_len = encoder_out_lens[batch_idx].item()
min_len = min(fbank_fake_len, inputs_embeds.shape[1] - fbank_beg_idx)
inputs_embeds[batch_idx, fbank_beg_idx : fbank_beg_idx + min_len, :] = encoder_out[
batch_idx, :min_len, :
]
inputs_embeds[batch_idx, fbank_beg_idx : fbank_beg_idx + min_len, :] = encoder_out[
batch_idx, :min_len, :
]
labels_ids[labels_ids == -1] = -100
model_outputs = self.llm(
inputs_embeds=inputs_embeds, attention_mask=attention_mask, labels=labels_ids