Update cross_entropy_loss.py

This commit is contained in:
Daniel Han 2024-10-30 17:35:20 -07:00
commit 8aefcd0b50

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@ -273,8 +273,8 @@ class Fast_CrossEntropyLoss(torch.autograd.Function):
n_chunks = div + (mod != 0)
losses = torch.empty(n_rows, dtype = torch.float32, device = logits.device)
DO_SOFTCAPPING = logit_softcapping != 0
DO_LOGIT_SCALING = logit_scaling != 0
DO_SOFTCAPPING : bool = bool(logit_softcapping != 0)
DO_LOGIT_SCALING : bool = bool(logit_scaling != 0)
if n_chunks == 1:
# For small vocabs <= 65336 like Llama, Mistral