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fix bug, tested

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This commit is contained in:
YeAnbang
2025-06-09 09:37:28 +08:00
parent dc3033e68a
commit 3bed6ae9ee
3 changed files with 7 additions and 5 deletions
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6
applications/ColossalChat/coati/distributed/consumer.py
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@@ -132,9 +132,7 @@ class BaseConsumer:
format_acc = raw_batch["format_acc"][:, :, 0]
ans_acc = raw_batch["ans_acc"][:, :, 0]
response_len = (
raw_batch["response_idx"][:, :, 1]
- raw_batch["response_idx"][:, :, 0]
+ 1
raw_batch["response_idx"][:, :, 1] - raw_batch["response_idx"][:, :, 0] + 1
).type(torch.float32)
effective_group_mask = None
if self.filter_range is not None and self.grpo_config.get("dynamic_batching", True):
@@ -160,7 +158,7 @@ class BaseConsumer:
)
if effective_group_mask is not None:
print(
f"[T{dist.get_rank()}] Filter recv data: {len(raw_batch_with_reward)} -> {torch.sum(effective_group_mask).cpu().item()} effective groups"
f"[T{dist.get_rank()}] Filter recv data: {len(raw_batch)} -> {torch.sum(effective_group_mask).cpu().item()} effective groups"
)
# mapping the effective group to the raw group for indexing
effective_group_to_raw_group_mapping = {}

2
applications/ColossalChat/coati/distributed/producer.py
View File

@@ -291,7 +291,7 @@ class BaseProducer:
reward_model_output = self.reward_model(
outputs["input_ids"].view((-1, outputs["input_ids"].size(-1))),
gt_answer=gt_answer,
response_idx=outputs["response_idx"],
response_idx=outputs["response_idx"].view((-1, 2)),
)
outputs["reward"] = (
torch.tensor([value[0] for value in reward_model_output])