feat(ml)!: cuda and openvino acceleration ()

* cuda and openvino ep, refactor, update dockerfile

* updated workflow

* typing fixes

* added tests

* updated ml test gh action

* updated README

* updated docker-compose

* added compute to hwaccel.yml

* updated gh matrix

updated gh matrix

updated gh matrix

updated gh matrix

updated gh matrix

give up

* remove cuda/arm64 build

* add hwaccel image tags to docker-compose

* remove unnecessary quotes

* add suffix to git tag

* fixed kwargs in base model

* armnn ld_library_path

* update pyproject.toml

* add armnn workflow

* formatting

* consolidate hwaccel files, update docker compose

* update hw transcoding docs

* add ml hwaccel docs

* update dev and prod docker-compose

* added armnn prerequisite docs

* support 3.10

* updated docker-compose comments

* formatting

* test coverage

* don't set arena extend strategy for openvino

* working openvino

* formatting

* fix dockerfile

* added type annotation

* add wsl configuration for openvino

* updated lock file

* copy python3

* comment out extends section

* fix platforms

* simplify workflow suffix tagging

* simplify aio transcoding doc

* update docs and workflow for `hwaccel.yml` change

* revert docs
This commit is contained in:
Mert 2024-01-21 18:22:39 -05:00 committed by GitHub
commit 95cfe22866
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23 changed files with 962 additions and 460 deletions
machine-learning/app

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@ -93,3 +93,15 @@ def clip_tokenizer_cfg() -> dict[str, Any]:
"tokenizer_class": "CLIPTokenizer",
"unk_token": "<|endoftext|>",
}
@pytest.fixture(scope="function")
def providers(request: pytest.FixtureRequest) -> Iterator[dict[str, Any]]:
marker = request.node.get_closest_marker("providers")
if marker is None:
raise ValueError("Missing marker 'providers'")
providers = marker.args[0]
with mock.patch("app.models.base.ort.get_available_providers") as mocked:
mocked.return_value = providers
yield providers