- fix setup_venv.sh for benchmarks/imports etc.
- fix torch benchmarks in SharkBenchmarkRunner
- generate SD artifacts using build_tools/stable_diffusion_testing.py and --import_mlir
- decouple SD gen from tank/generate_sharktank for now
* [MiniGPT4] Add MiniGPT4 to SHARK
-- This is the first installment of MiniGPT4 in SHARK.
Signed-off-by: Abhishek Varma <abhishek@nod-labs.com>
* Add int8 support for MiniGPT4
-- This commit adds int8 support for MiniGPT4.
Signed-off-by: Abhishek Varma <abhishek@nod-lab.com>
* Update .spec for MiniGPT4's config files
* black format MiniGPT4
---------
Signed-off-by: Abhishek Varma <abhishek@nod-labs.com>
Signed-off-by: Abhishek Varma <abhishek@nod-lab.com>
-- This commit reverts the formatting for Brevitas op.
-- It also excludes vicuna.py script from `black` formatter.
Signed-off-by: Abhishek Varma <abhishek@nod-labs.com>
* Use IREE tf tools to save .mlir modules when generating shark_tank.
* Add option to pytest for enabling auto-updates to local shark tank.
* xfail mobilenet torch on cpu, cuda and fix CI macos setup
* Update test-models.yml to disable macos vulkan CI.