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[triton][tool] A CLI Tool for Tensor Layout Printing (#4486) A CLI tool to print the layout of a tensor. Currently, only triton_gpu's DistributedEncoding (no SharedEncoding) tensor layout print is supported via the exposed getLayoutStr API from the dialect library. In the future, we could also add more tensor layout print from other backend HW targets (e.g., CPU). Example usage: ``` triton-tensor-layout -l "#triton_gpu.nvidia_mma<{versionMajor = 3, versionMinor = 0, warpsPerCTA = [8, 1], CTAsPerCGA = [1, 1], CTASplitNum = [1, 1], CTAOrder = [1, 0], instrShape = [16, 256, 32]}>" -t "tensor<128x256xf16>" triton-tensor-layout -i input.mlir -t "tensor<1x128x128xf16>" -o output.txt triton-tensor-layout -i input.mlir -t "tensor<1x128x128xf16>" -o output.txt -alias-names="blocked,mma" -use-hw-view ``` An input file usually looks like: ``` #mma = #triton_gpu.amd_mfma<{versionMajor = 2, versionMinor = 0, warpsPerCTA = [1, 1, 8], instrShape = [32, 32], isTransposed = false}> #blocked = #triton_gpu.blocked<{sizePerThread = [1, 8, 1], threadsPerWarp = [1, 16, 4], warpsPerCTA = [1, 1, 8], order = [0, 1, 2]}> ``` The core Triton is a small number of people, and we receive many PRs (thank you!). To help us review your code more quickly, **if you are a new contributor (less than 3 PRs merged) we ask that you complete the following tasks and include the filled-out checklist in your PR description.** Complete the following tasks before sending your PR, and replace [ ] with [x] to indicate you have done them. - [x] I am not making a trivial change, such as fixing a typo in a comment. - [x] I have written a PR description following these [rules](https://cbea.ms/git-commit/#why-not-how). - [x] I have run pre-commit run --from-ref origin/main --to-ref HEAD. - Select one of the following. - [x] I have added tests. - /test for lit tests - /unittest for C++ tests - /python/test for end-to-end tests - [] This PR does not need a test because FILL THIS IN. - Select one of the following. - [] I have not added any lit tests. - [x] The lit tests I have added follow these [best practices](https://mlir.llvm.org/getting_started/TestingGuide/#filecheck-best-practices), including the "tests should be minimal" section. (Usually running Python code and using the instructions it generates is not minimal.) --------- Co-authored-by: Yuanwei Fang <fywkevin@fb.com>1 年前