* Shark Studio SDXL support, HIP driver support, simpler device info, small fixes
* Fixups to llm API/UI and ignore user config files.
* Small fixes for unifying pipelines.
* Update requirements.txt for iree-turbine (#2130)
* Fix Llama2 on CPU (#2133)
* Filesystem cleanup and custom model fixes (#2127)
* Fix some formatting issues
* Remove IREE pin (fixes exe issue) (#2126)
* Update find links for IREE packages (#2136)
* Shark Studio SDXL support, HIP driver support, simpler device info, small fixes
* Abstract out SD pipelines from Studio Webui (WIP)
* Switch from pin to minimum torch version and fix index url
* Fix device parsing.
* Fix linux setup
* Fix custom weights.
---------
Co-authored-by: saienduri <77521230+saienduri@users.noreply.github.com>
Co-authored-by: gpetters-amd <159576198+gpetters-amd@users.noreply.github.com>
Co-authored-by: gpetters94 <gpetters@protonmail.com>
* On windows insist on the presence of webview2 as the embeddable
browser for `ui=app`. If we can't find it, effectively switch back to
`ui=web`. This should prevent pywebview trying to use MSHTML, whilst
saying its deprecated, and apparently we are too much for poor old IE11
* Add webview2 runtime droppings to .gitignore.
* If we can't bind to args.server_port get another suitable port from
the OS and advise the user that we did this in the UI.
* Make `ui=web` mode use 'SHARK AI Studio' as its title. This makes it
consistent with `ui=app`.
* Replace the generic gradio favicon with a nod swirl one instead.
* improper test hiresfix
* add sliders & use `clear_cache`
* add resample choices & fix step adjustment
* add step adjustment to img2img
* add resample options to img2img
* simplify hiresfix
- import `img2img_inf` from `img2img_ui.py` instead of just copying it into `txt2img_ui.py`
* set `hri` to None after using
* add more resample types, and don't show output until hiresfix is done
* cleaner implementation
* ran black
* ran black again with jupyter dependencies
-- 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>
-- This commit fixes SD restart error in exe file by creating
variants.json in CWD instead of a relative path.
Signed-off-by: Abhishek Varma <abhishek@nod-labs.com>
Co-authored-by: Abhishek Varma <abhishek@nod-labs.com>
-- This commit fixes the session restart error for SD.
-- It also overrides `args.use_tuned` for `import_mlir`, and sets
`use_tuned` as `False`.
Signed-off-by: Abhishek Varma <abhishek@nod-labs.com>
-Adds date variable back to nightly.yml so shark_tank uploads are dated again
-added specification for nightly pytests to not run tests on metal (vulkan is sufficient)
-added some paths/filetypes to be ignored when triggering workflow runs. (no test-models on changes to .md files or anything in the shark/examples/ directory or its subdirectories.
-pytest only picks up tank/test_models.py, so no need to specify which file to run when running pytest from SHARK base directory.
-Cleaned up xfails so that they can be added to models as csv entries. Columns 7-9 in all_models.csv trigger xfails with cpu, cuda, vulkan, respectively, and row 10 can be populated with a reason for the xfails.
-Fixed a few defaults for shark_args and pytest args (defined in conftest.py)
-Fixes --update_tank option in shark_downloader
removes some multiprocessing in pytest / TF+CUDA support because it breaks pytest and false passes, leaving regressions at large.
-Adds xfails for and removes albert torch from gen_sharktank list (tank/torch_model_list.csv).
-Cleans up xfails for cpu, cuda, vulkan (removing old ones)
* Move most xfails to entries in tank/all_models.csv
* enable usage of pytest without specifying tank/test_models.py
* add dict_configs.py to gitignore.
* Pin versions for runtimes and torch-mlir for setup.
