f2013519 opened a new pull request, #16570:
URL: https://github.com/apache/tvm/pull/16570

   ### Summary
   
   This PR adds support for partitioning and compiling the Marvell BYOC target 
along with initial integration with tvmc. Support for the runtime (simulator 
based & hardware) and other features (int8) will be added in phases as 
described in the pre-RFC post: 
https://discuss.tvm.apache.org/t/prerfc-byoc-integrating-marvell-ml-ai-accelerator-to-the-tvm-byoc-framework/16155.
   
    **Please see the pre-RFC for a detailed description of the design and 
roadmap going forward.**
   
   ### Building
   
   We have introduced a new cmake flag:
   **USE_MRVL=ON/OFF**
   
   This flag enables Marvell BYOC codegen and is required for using the Marvell 
BYOC functionality, running unit tests, etc.
   
   ### Usage
   
   The tvmc interface for Marvell BYOC will be similar to other composite 
targets. 
   
   The below command is an example of cross-compilation of an ONNX model for an 
Octeon target.
   
    python3 -m tvm.driver.tvmc compile 
            --target="mrvl, llvm" \
           --target-llvm-mtriple=aarch64-linux-gnu \
           --target-llvm-mcpu=neoverse-n2 \
           --target-mrvl-num_tiles=4 \
           --cross-compiler aarch64-linux-gnu-gcc \
           --output model.tar \
           model.onnx
   
   Supported operators will be partitioned and compiled for the MLIP and the 
remaining operators will be compiled for the ARM Neoverse cores using the 
default LLVM target.
   
   TVM Python API based compilation is also supported, please refer to the doc 
added as part of this PR for details.


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