forked from mrq/bitsandbytes-rocm
more lenient threshold
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@ -372,10 +372,9 @@ def test_matmullt(
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n = out_bnb.numel()
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err = torch.abs(out_bnb - out_torch).mean().item()
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# print(f'abs error {err:.4f}')
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out_error_rate = 0.0175 if dtype == torch.float16 else 0.02
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idx = torch.isclose(out_bnb, out_torch, atol=0.01, rtol=0.1)
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assert (idx == 0).sum().item() <= n * out_error_rate
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assert (idx == 0).sum().item() <= n * (0.0175 if dtype == torch.float16 else 0.02)
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idx = torch.isclose(out_bnb, out_torch, atol=0.035, rtol=0.2)
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assert (idx == 0).sum().item() <= n * 0.001
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