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| author | justheuristic <justheuristic@gmail.com> | 2022-09-17 23:24:26 +0300 |
|---|---|---|
| committer | justheuristic <justheuristic@gmail.com> | 2022-09-17 23:24:26 +0300 |
| commit | fc4a135ed1604d1f6190af725bea912e19e8a88a (patch) | |
| tree | 92269a32408d189e436e7ae618a56c1ad7d2449c /bitsandbytes | |
| parent | e29c5f5c41627668c650a2849e29599cd4f0bf3a (diff) | |
clearer assertions
Diffstat (limited to 'bitsandbytes')
| -rw-r--r-- | bitsandbytes/autograd/_functions.py | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/bitsandbytes/autograd/_functions.py b/bitsandbytes/autograd/_functions.py index 6d473e9..f4a6d57 100644 --- a/bitsandbytes/autograd/_functions.py +++ b/bitsandbytes/autograd/_functions.py @@ -232,8 +232,8 @@ class MatMul8bitLt(torch.autograd.Function): # Cast A to fp16 A_dtype = A.dtype if A_dtype != torch.float16: - warnings.warn(f"MatMul8bitLt: temporarily casting input matrix from {A_dtype} to float16") - A = A.to(torch.float16) + warnings.warn(f"MatMul8bitLt: input matrix will be converted from {A_dtype} to float16") + A = A.to(torch.float16) # 1. Quantize A if len(A.shape) == 3: |