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| author | justheuristic <justheuristic@gmail.com> | 2022-09-18 00:28:03 +0300 |
|---|---|---|
| committer | justheuristic <justheuristic@gmail.com> | 2022-09-18 00:28:03 +0300 |
| commit | 45dc1983e92f9c3125948f416aafc6b96b3a6c15 (patch) | |
| tree | 7ba0802743f32dbfa5f984e6177615998d29549d /bitsandbytes | |
| parent | 702cc72018eaa177b94a276043a6c069ff0da32b (diff) | |
cast properly
Diffstat (limited to 'bitsandbytes')
| -rw-r--r-- | bitsandbytes/autograd/_functions.py | 3 |
1 files changed, 1 insertions, 2 deletions
diff --git a/bitsandbytes/autograd/_functions.py b/bitsandbytes/autograd/_functions.py index c3c2bf8..03949de 100644 --- a/bitsandbytes/autograd/_functions.py +++ b/bitsandbytes/autograd/_functions.py @@ -294,7 +294,7 @@ class MatMul8bitLt(torch.autograd.Function): (outliers * state.SCB.view(-1, 1) / 127.0) .t() .contiguous() - .half() + .to(B.dtype) ) CA[:, state.idx.long()] = 0 CAt[:, state.idx.long()] = 0 @@ -321,7 +321,6 @@ class MatMul8bitLt(torch.autograd.Function): # 4. Mixed-precision decomposition matmul if coo_tensorA is not None and subA is not None: - assert subA.dtype == state.subB.dtype, (subA.dtype, state.subB.dtype) output += torch.matmul(subA, state.subB) # 5. Save state |