junrushao1994 commented on a change in pull request #25: URL: https://github.com/apache/tvm-rfcs/pull/25#discussion_r698090652
########## File path: rfcs/0025-add-pytorch-tvm.md ########## @@ -0,0 +1,265 @@ +- Feature Name: PyTorchTVM +- Start Date: 2021-08-24 +- RFC PR: [apache/tvm-rfcs#0025](https://github.com/apache/tvm-rfcs/pull/25) +- GitHub Issue: TODO + +# Summary +[summary]: #summary + +This RFC add a `PyTorchTVM` module to support: compile TorchScript to TVM and use accelerated module in PyTorch. + +To increase the TVM accessibility for PyTorch users, we propose `PyTorchTVM` module to support the following workflow: +1. convert a torchscript module to tvm graph +2. build and tune tvm graph +3. export well-tuned tvm graph as a pytorch op +4. torch jit trace the tvm pytorch op with other pytorch modules, then save/load/serve as normal pytorch model + + + +# Motivation +[motivation]: #motivation + +PyTorch framework is increasingly being adopted for research and production. At the same time, PyTorch lacks an effective inference acceleration toolchain, which is the main concern in the industry. Existing acceleration includes: Review comment: ```suggestion PyTorch enjoys increasing popularity among machine learning research community as well as in industrial production environment. However, it is still a missing piece as a generic, comprehensive and effective toolchain to accelerate real-world models and workloads in PyTorch, which raises primary concern in performance-critical production environments. ``` -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
