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cast properly

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This commit is contained in:
justheuristic 2022-09-18 00:35:03 +03:00
parent 577275bd8c
commit e35e2c665a
2 changed files with 4 additions and 2 deletions
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2
bitsandbytes/autograd/_functions.py
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@ -231,7 +231,7 @@ class MatMul8bitLt(torch.autograd.Function):
# Cast A to fp16
if A.dtype != torch.float16:
warnings.warn(f"MatMul8bitLt: input matrix will be cast from {A.dtype} to float16")
warnings.warn(f"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization")
# 1. Quantize A
if len(A.shape) == 3:

4
tests/test_autograd.py
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@ -372,8 +372,10 @@ def test_matmullt(
n = out_bnb.numel()
err = torch.abs(out_bnb - out_torch).mean().item()
# print(f'abs error {err:.4f}')
out_error_rate = 0.0175 if dtype == torch.float16 else 0.02
idx = torch.isclose(out_bnb, out_torch, atol=0.01, rtol=0.1)
assert (idx == 0).sum().item() <= n * 0.0175
assert (idx == 0).sum().item() <= n * out_error_rate
idx = torch.isclose(out_bnb, out_torch, atol=0.035, rtol=0.2)
assert (idx == 0).sum().item() <= n * 0.001