Comments (2)
you need to use nightly wheel or build top of tree triton from source.
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it sees both nighly wheel and v2.2.0 can run fp8 tensor core correctly
from triton.
Related Issues (20)
- https://github.com/Cecil500 HOT 3
- triton cache does not invalidate cache correctly when dynamically choosing a function to call HOT 10
- Why change the order of make_block_ptr when V.dtype.element_ty == tl.float8e5?
- Print statements inside kernel print incorrect value of int64 tensors HOT 5
- batched matrix multiplication within a program HOT 2
- urllib.error.HTTPError: HTTP Error 404: Not Found HOT 1
- Question about memory coalescing HOT 1
- For small size M, like the shape M=1 K=5120 N=1792, how to improve the performance with triton? HOT 4
- github tag is not consistent with pypi version
- Calling torch.compile fails when Triton kernel arguments include triton.language.dtype HOT 1
- tl.cumsum seems emitting an internal error. HOT 1
- How to perform a store operation on a part of a Tensor? HOT 1
- Question regarding stride HOT 1
- [AMD] Undefined behavior sanitizer invalid-bool-load in optimize_epilogue.mlir HOT 5
- int8 x bfloat16 matmul tests fail on 4090s due to numerical error
- Incorrect result with threadsPerWarp of [2, 2, 8] for a thread block of [2, 2, 32] HOT 16
- M2 Mac Build from Source Failure: MLIR Configuration Error HOT 1
- RuntimeError: Triton Error [HIP]: Code: 1, Messsage: invalid argument HOT 2
- StackTrace handler on python module does not allow signal to propagate. HOT 5
- Associative scan with non-scalar inputs
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