- 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
* Only xfail windows models in CI
* downloader: make model updates more robust.
* Separate baseline and native benchmarks in pytest.
* Fix native benchmarks
* Fix torchvision model utils.
* Adds a few xfails to enable macOS builder
* Convert string batch sizes to ints where needed.
* allow pytest to retry getting model artifacts
* Reduce attempts and add assert msg.
* Fix sharktank generation and add batch_size pytest option for torch.
* Disable torch dynamo until py3.11 supported
* Compile torchmodel without dynamo if torch.compile fails
* Use release versions of TF/Keras for importer.
* Pin torchvision and remove debug prints.
* Remove duplicates from torch model list.
* Update generate_sharktank.py
* xfail a few models that fail sharktank generation/ numerics
-- The model doesn't validate with the correct results on the GPU.
-- The model passes on CPU and levelzero.
-- The static version of the model gets stuck for vulkan.
