Google Git
Sign in
opensecura / sw / vec_iree / f58d2bc9d09b748838cafcd536df8b3af574968c
commitf58d2bc9d09b748838cafcd536df8b3af574968c[log] [tgz]
authorCindy Liu <hcindyl@google.com>Thu Feb 03 15:06:19 2022 -0800
committerCindy Liu <hcindyl@google.com>Tue Aug 23 14:42:37 2022 -0700
treee7edf7c5082c3a7dfdf7b5eb426109f6c8fbfe7e
parent750945adcfb607145218296a515f5dfd67874079 [diff]
Add Conv1x1 microbenchmark

A simple example of deploying the tosa.conv2d 1x1 model.

The input is set to zero so the output is just the bias (input = conv2d
zero_point).

Change-Id: Ied4f02a387aff5c180af938a06602b5103c50844
4 files changed
tree: e7edf7c5082c3a7dfdf7b5eb426109f6c8fbfe7e
  1. audio_prep/
  2. build_tools/
  3. cmake/
  4. device/
  5. model_util/
  6. native_log/
  7. risp4ml/
  8. samples/
  9. ssd_postprocess/
  10. CMakeLists.txt
  11. README.md
  12. springbok_config.h
README.md

Springbok Model Execution Repository

This project contains ML model codegen and execution libraries/examples. The artifacts built from this project is targeted for RISC-V 32-bit baremetal machine (Springbok).

Prerequisite

If you get this project from Project Shodan manifest, you are all set. If not, you need to have following projects as well to build the project successfully.

This project needs to be at <dir>/sw/vec_iree

Code structure

  • audio_prep: Audio preprocessing libarary
  • build_tools: Utility scripts for the project
  • cmake: CMake Macros for the project
  • device: Device HAL driver library
  • model_util: Runtime utility library for model execution
  • native_log: BSP support for the Linux userspace emulation
  • risp4ml: Vision preprocessing library (Reduced ISP for ML)
  • samples: Codegen and execution of ML models based on IREE
    • simple_vec_mul: Point-wise vector multiplication examples
  • ssd_postprocess: Vision postprocessing library for Single-Shot Detectors (SSD)

Build the project

If you are running from Project Shodan repo, you can build the artifacts with m iree. If you download this project alone, you need to download/build IREE's host compiler, then at the top level directory

  cmake -B <output dir> -G Ninja \
     -DCMAKE_TOOLCHAIN_FILE="$(realpath sw/vec_iree/cmake/riscv_iree.cmake)" \
     -DCMAKE_BUILD_TYPE=MinSizeRel \
     -DIREE_HOST_BINARY_ROOT="$(IREE_COMPILER_DIR)/install" \
     -DRISCV_TOOLCHAIN_ROOT=$(TOOLCHAINRV32_PATH) \
     <dir>/sw/vec_iree
  cmake --build <output dir> --target all

Run the executables

You can run QEMU or RENODE emulation with the built executables. In Shodan repo, qemu_sim_springbok for QEMU emulation, and sim_springbok for Renode simulation. Out-of-repo emulation is possible but require more steps.

Test the executables

In Shodan, this project utilizes LLVM lit and FileCheck to test the ML executable performance. The tests are defined in the *_test.run files under <output dir>. To run the test, at the Shodan top level directory

lit --path <Filecheck dir> -a <output dir>

Filecheck in Debian testing is under /usr/lib/llvm-11/bin

Add -D RUNNER=qemu to enable the qemu tests.