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triton/python/examples/empty.py

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[FRONTEND] Backport new runtime from `master` (#706) This PR merges the new runtime back into the `triton-mlir` branch. This adds caching and just-in-time compilation functionality to the triton-mlir project, and paves the way for re-using tests from the master branch.
2022-09-23 16:09:43 -07:00
import torch
[PYTHON] Cleaned up legacy code; added simple standalone compilation API (#22)
2022-07-26 11:06:45 -07:00
import triton
import triton.language as tl
[CI] Added basic CI skeletons (#23) Includes minor fixes to make things compile and pass static checks properly
2022-07-26 14:16:30 -07:00
[PYTHON] Cleaned up legacy code; added simple standalone compilation API (#22)
2022-07-26 11:06:45 -07:00
@triton.jit
def kernel(X, stride_xm, stride_xn, BLOCK: tl.constexpr):
pass
[CI] Added basic CI skeletons (#23) Includes minor fixes to make things compile and pass static checks properly
2022-07-26 14:16:30 -07:00
[FRONTEND] Backport new runtime from `master` (#706) This PR merges the new runtime back into the `triton-mlir` branch. This adds caching and just-in-time compilation functionality to the triton-mlir project, and paves the way for re-using tests from the master branch.
2022-09-23 16:09:43 -07:00
X = torch.randn(1, device="cuda")
pgm = kernel[(1,)](X, 1, 1, BLOCK=1024)
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