Comments (3)
Unfortunately, many of the features that were described in our PLDI 2020 paper have not yet been integrated into the main branch of TACO, since the code for our initial prototype deviated from the main branch quite a bit and was not really production-ready. Our hope is to reimplement those features in the main branch at some point, though we currently do not have a firm timeline for that.
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Thank you for your reply @stephenchouca! Is the code for PLDI 2020 paper open-sourced? I'm curious about the implementation details of that paper :) Thank you!
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We didn't make our paper artifact publicly available. If you want a copy though, just send me an email (you can find my email address on my personal website) and I can share it with you.
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Related Issues (20)
- Compilation error for TTM with CSF,CSC as input formats and CSF output HOT 4
- Serialization Support HOT 2
- Release of taco and availability of PyPi HOT 1
- Uncaught exception when fusing sparse dimensions HOT 4
- qcd.mul1 fails on Apple M1 HOT 2
- Convert raw pointer to 2nd order tensor HOT 1
- How to generate cuda kernel with python bindings? HOT 3
- Taco Grammar HOT 3
- Add taco as 3rd party lib by CMake FetchContent_Declare HOT 1
- Is TACO capable of doing caculation with extra itervar? HOT 2
- Can every index be sparse? HOT 8
- pytaco.tensor_sum() gives a wrong answer
- Reshape HOT 1
- Complex number realization for the python interface HOT 1
- tests fail on macOS ppc/ppc64; on 10.6.8 x86_64 two tests fail HOT 15
- Is it possible to generate OpenCL kernels with TACO? HOT 6
- Memory leak with `pytaco`
- Failure due to CUDA errors when generating code for CPU?
- Online tool cannot connect to server
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