Comments (3)
cc: @bertmaher , I'm guessing this is using the new triton 3.0 branch? Not sure how to tell which triton hash is being used there.
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cc: @bertmaher , I'm guessing this is using the new triton 3.0 branch? Not sure how to tell which triton hash is being used there.
Thank you for your quick response. This should be the upcoming 3.0 version of triton. The commit hash is in the packaged wheel file name.
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Another hint is that if I use fp32 dot accumulation instead of fp16, the output will be correct.
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Related Issues (20)
- Unexpected segmentation fault with tl.sum in a simple loop HOT 3
- Support reduction operations on global memory with `red` ptx instruction
- Cannot use Triton interpreter with matrix multiply example HOT 4
- error: fp8e4nv data type is not supported on CUDA arch < 89
- Can I explicitly specify the "tl.load" to load data into shared memory? HOT 1
- breaking change to constexpr in triton 3.0.0 HOT 2
- AttributeError: 'InterpretedFunction' object has no attribute 'cache_key' HOT 2
- SWP: use of address of iterator in dist1Cluster HOT 1
- Introduce `tl.assume` or use `assert` expression in non-debug builds to guide optimization? HOT 2
- run into dead loop when tuning the tma persistent kernel HOT 6
- [BUG] error load fp32 value from 2D tensor HOT 2
- [BUG] device_print - Triton nightly, 3.0 incorrect values (zero) when using pointer arithmetics(constexpr etc.) other than with triton.language.arange HOT 6
- Incompatible type error with "torch.onnx.export()"
- Syncing blocks in SplitK GEMM HOT 1
- [BUG] triton.language.associative_scan returning incorrect results when `reverse=True` HOT 4
- 模型直接转为triton
- It will report an error when directly start the .cubin using cuModuleGetFunction in the. cu HOT 1
- Segfault when using `tl.range(...,num_stages)` HOT 4
- os.environ["TRITON_INTERPRET"] = "1" may makes tl.load error. HOT 2
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