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fix CPU overheads of GPT synthetic dataset #6427

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merged 2 commits into from
Apr 14, 2023
Merged

fix CPU overheads of GPT synthetic dataset #6427

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48a58b4
move mask and position id generation to the init of MockGPTDataset
xrennvidia Apr 13, 2023
38f421f
Merge branch 'main' into xren/fix_dataloader_overheads
xrennvidia Apr 14, 2023
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17 changes: 8 additions & 9 deletions nemo/collections/nlp/data/language_modeling/megatron/gpt_dataset.py
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Original file line number Diff line number Diff line change
Expand Up @@ -444,6 +444,11 @@ def __init__(
self.length = num_samples
self.seed = seed

self.attention_mask = torch.tril(torch.ones((self.seq_length, self.seq_length))).unsqueeze(0)
self.attention_mask = self.attention_mask < 0.5
self.loss_mask = torch.ones(self.seq_length, dtype=torch.float)
self.position_ids = torch.arange(self.seq_length, dtype=torch.int64)

def __len__(self):
return self.length

Expand All @@ -457,18 +462,12 @@ def __getitem__(self, idx):
tokens = torch.from_numpy(np_gen.integers(self.vocab_size, size=[self.seq_length], dtype=np.int64))
labels = torch.from_numpy(np_gen.integers(self.vocab_size, size=[self.seq_length], dtype=np.int64))

with torch.no_grad():
attention_mask = torch.tril(torch.ones((self.seq_length, self.seq_length))).unsqueeze(0)
attention_mask = attention_mask < 0.5
loss_mask = torch.ones(self.seq_length, dtype=torch.float)
position_ids = torch.arange(self.seq_length, dtype=torch.int64)

return {
'tokens': tokens,
'labels': labels,
'attention_mask': attention_mask,
'loss_mask': loss_mask,
'position_ids': position_ids,
'attention_mask': self.attention_mask,
'loss_mask': self.loss_mask,
'position_ids': self.position_ids,
}


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