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fix bug

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This commit is contained in:
游雁 2024-06-09 03:26:32 +08:00
parent 1186cd96a5
commit 6e0d138826
1 changed files with 7 additions and 6 deletions
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13
funasr/datasets/openai_datasets/datasets.py
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@ -211,14 +211,15 @@ class OpenAIDataset(torch.utils.data.Dataset):
if self.batch_type != "example": if self.batch_type != "example":
b, t = outputs["input_ids"].shape b, t = outputs["input_ids"].shape
if b * t > self.batch_size * self.batch_size_scale_ratio_max: if b > 1 and b * t > self.batch_size * self.batch_size_scale_ratio_max:
beg = torch.randint(0, 2, ()).item() # beg = torch.randint(0, 2, ()).item()
if b < 2: # if b < 2:
beg = 0 # beg = 0
logging.info( logging.info(
f"Warning, b * t: {b * t} > {self.batch_size_scale_ratio_max} * {self.batch_size}, b: {b}, t: {t}, drop half data {idx}th, beg:{beg}" f"Warning, b*t: {b}*{t}={b * t} > batch_size*relax: {self.batch_size_scale_ratio_max}*{self.batch_size}={self.batch_size_scale_ratio_max*self.batch_size}, drop half data {idx}th, beg:{beg}"
) )
samples = samples[beg : beg + b : 2] # samples = samples[beg : beg + b : 2]
samples = samples[:-1]
continue continue
break break