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fix(deps): update machine-learning (#10740)

Browse source 
* fix(deps): update machine-learning

* update openvino options, cuda

* update openvino build

* fix indentation

* update minimum nvidia driver

---------

Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com>
Co-authored-by: mertalev <101130780+mertalev@users.noreply.github.com>
This commit is contained in:
renovate[bot] 2024-07-21 19:30:24 -04:00 committed by GitHub
parent 8b773a2b2e
commit b53bd8c525
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GPG key ID: B5690EEEBB952194
8 changed files with 323 additions and 284 deletions
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2
docker/docker-compose.prod.yml
View file

@ -33,6 +33,8 @@ services:
dockerfile: Dockerfile
args:
- DEVICE=cpu # set to one of [armnn, cuda, openvino, openvino-wsl] for accelerated inference
ports:
- 3003:3003
volumes:
- model-cache:/cache
env_file:

2
docs/docs/features/ml-hardware-acceleration.md
View file

@ -38,7 +38,7 @@ You do not need to redo any machine learning jobs after enabling hardware accele
- The GPU must have compute capability 5.2 or greater.
- The server must have the official NVIDIA driver installed.
- The installed driver must be >= 535 (it must support CUDA 12.2).
- The installed driver must be >= 545 (it must support CUDA 12.3.2).
- On Linux (except for WSL2), you also need to have [NVIDIA Container Toolkit][nvct] installed.
#### OpenVINO

24
machine-learning/Dockerfile
View file

@ -2,9 +2,7 @@ ARG DEVICE=cpu
FROM python:3.11-bookworm@sha256:7bec1574675e7fd9e3a540a03cd7d6811c59ca261bd300cd665369d8f435298a as builder-cpu
FROM openvino/ubuntu22_runtime:2023.3.0@sha256:176646df619032ea6c10faf842867119c393e7497b7f88b5e307e932a0fd5aa8 as builder-openvino
USER root
RUN apt-get update && apt-get install -y --no-install-recommends python3-dev
FROM builder-cpu as builder-openvino
FROM builder-cpu as builder-cuda
@ -38,13 +36,15 @@ RUN poetry install --sync --no-interaction --no-ansi --no-root --with ${DEVICE}
FROM python:3.11-slim-bookworm@sha256:17ec9dc2367aa748559d0212f34665ec4df801129de32db705ea34654b5bc77a as prod-cpu
FROM openvino/ubuntu22_runtime:2023.3.0@sha256:176646df619032ea6c10faf842867119c393e7497b7f88b5e307e932a0fd5aa8 as prod-openvino
USER root
# TODO: remove this once the image has the fix for https://github.com/intel/compute-runtime/issues/710
ENV NEOReadDebugKeys=1 \
OverrideGpuAddressSpace=48
FROM prod-cpu as prod-openvino
FROM nvidia/cuda:12.2.2-cudnn8-runtime-ubuntu22.04@sha256:2d913b09e6be8387e1a10976933642c73c840c0b735f0bf3c28d97fc9bc422e0 as prod-cuda
COPY scripts/configure-apt.sh ./
RUN ./configure-apt.sh && \
apt-get update && \
apt-get install -t unstable --no-install-recommends -yqq intel-opencl-icd && \
rm configure-apt.sh
FROM nvidia/cuda:12.3.2-cudnn9-runtime-ubuntu22.04@sha256:fa44193567d1908f7ca1f3abf8623ce9c63bc8cba7bcfdb32702eb04d326f7a8 as prod-cuda
COPY --from=builder-cuda /usr/local/bin/python3 /usr/local/bin/python3
COPY --from=builder-cuda /usr/local/lib/python3.11 /usr/local/lib/python3.11
@ -71,13 +71,15 @@ COPY --from=builder-armnn \
/opt/armnn/
FROM prod-${DEVICE} as prod
ARG DEVICE
RUN apt-get update && \
apt-get install -y --no-install-recommends tini libmimalloc2.0 && \
apt-get install -y --no-install-recommends tini $(if ! [ "$DEVICE" = "openvino" ]; then echo "libmimalloc2.0"; fi) && \
apt-get autoremove -yqq && \
apt-get clean && \
rm -rf /var/lib/apt/lists/*
WORKDIR /usr/src/app
ARG DEVICE
ENV TRANSFORMERS_CACHE=/cache \
PYTHONDONTWRITEBYTECODE=1 \
PYTHONUNBUFFERED=1 \

4
machine-learning/app/models/transforms.py
View file

@ -47,8 +47,8 @@ def pil_to_cv2(image: Image.Image) -> NDArray[np.uint8]:
def decode_pil(image_bytes: bytes | IO[bytes] | Image.Image) -> Image.Image:
if isinstance(image_bytes, Image.Image):
return image_bytes
image = Image.open(BytesIO(image_bytes) if isinstance(image_bytes, bytes) else image_bytes)
image.load() # type: ignore
image: Image.Image = Image.open(BytesIO(image_bytes) if isinstance(image_bytes, bytes) else image_bytes)
image.load()
if not image.mode == "RGB":
image = image.convert("RGB")
return image

16
machine-learning/app/sessions/ort.py
View file

@ -83,17 +83,21 @@ class OrtSession:
@property
def _provider_options_default(self) -> list[dict[str, Any]]:
options = []
provider_options = []
for provider in self.providers:
match provider:
case "CPUExecutionProvider" | "CUDAExecutionProvider":
option = {"arena_extend_strategy": "kSameAsRequested"}
options = {"arena_extend_strategy": "kSameAsRequested"}
case "OpenVINOExecutionProvider":
option = {"device_type": "GPU_FP32", "cache_dir": (self.model_path.parent / "openvino").as_posix()}
options = {
"device_type": "GPU",
"precision": "FP32",
"cache_dir": (self.model_path.parent / "openvino").as_posix(),
}
case _:
option = {}
options.append(option)
return options
options = {}
provider_options.append(options)
return provider_options
@property
def sess_options(self) -> ort.SessionOptions:

2
machine-learning/app/test_main.py
View file

@ -212,7 +212,7 @@ class TestOrtSession:
session = OrtSession(model_path, providers=["OpenVINOExecutionProvider", "CPUExecutionProvider"])
assert session.provider_options == [
{"device_type": "GPU_FP32", "cache_dir": "/cache/ViT-B-32__openai/openvino"},
{"device_type": "GPU", "precision": "FP32", "cache_dir": "/cache/ViT-B-32__openai/openvino"},
{"arena_extend_strategy": "kSameAsRequested"},
]

544
machine-learning/poetry.lock generated
View file

@ -680,13 +680,13 @@ test = ["pytest (>=6)"]
[[package]]
name = "fastapi-slim"
version = "0.111.0"
version = "0.111.1"
description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production"
optional = false
python-versions = ">=3.8"
files = [
{file = "fastapi_slim-0.111.0-py3-none-any.whl", hash = "sha256:6e4b04a555496e5a2590031fcae3ef8e364ad4901b340033e2e1d8136471aca2"},
{file = "fastapi_slim-0.111.0.tar.gz", hash = "sha256:100720e4362ec4de97dee83a579b970e79fb5bf48073b37c9ce9b0e63dda4bec"},
{file = "fastapi_slim-0.111.1-py3-none-any.whl", hash = "sha256:ac29948dcbf84cc78d68ed2c4df4e695ac265cf53c339e5794008476e9befbbb"},
{file = "fastapi_slim-0.111.1.tar.gz", hash = "sha256:f799a60658f56c49fe3842eb534730fabe1168731c0b407b98a042c8d57be39d"},
]
[package.dependencies]
@ -696,7 +696,7 @@ typing-extensions = ">=4.8.0"
[package.extras]
all = ["email_validator (>=2.0.0)", "fastapi-cli (>=0.0.2)", "httpx (>=0.23.0)", "itsdangerous (>=1.1.0)", "jinja2 (>=2.11.2)", "orjson (>=3.2.1)", "pydantic-extra-types (>=2.0.0)", "pydantic-settings (>=2.0.0)", "python-multipart (>=0.0.7)", "pyyaml (>=5.3.1)", "ujson (>=4.0.1,!=4.0.2,!=4.1.0,!=4.2.0,!=4.3.0,!=5.0.0,!=5.1.0)", "uvicorn[standard] (>=0.12.0)"]
standard = ["email_validator (>=2.0.0)", "fastapi-cli (>=0.0.2)", "httpx (>=0.23.0)", "jinja2 (>=2.11.2)", "orjson (>=3.2.1)", "python-multipart (>=0.0.7)", "ujson (>=4.0.1,!=4.0.2,!=4.1.0,!=4.2.0,!=4.3.0,!=5.0.0,!=5.1.0)", "uvicorn[standard] (>=0.12.0)"]
standard = ["email_validator (>=2.0.0)", "fastapi-cli (>=0.0.2)", "httpx (>=0.23.0)", "jinja2 (>=2.11.2)", "python-multipart (>=0.0.7)", "uvicorn[standard] (>=0.12.0)"]
[[package]]
name = "filelock"
@ -1236,13 +1236,13 @@ socks = ["socksio (==1.*)"]
[[package]]
name = "huggingface-hub"
version = "0.23.4"
version = "0.24.0"
description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
optional = false
python-versions = ">=3.8.0"
files = [
{file = "huggingface_hub-0.23.4-py3-none-any.whl", hash = "sha256:3a0b957aa87150addf0cc7bd71b4d954b78e749850e1e7fb29ebbd2db64ca037"},
{file = "huggingface_hub-0.23.4.tar.gz", hash = "sha256:35d99016433900e44ae7efe1c209164a5a81dbbcd53a52f99c281dcd7ce22431"},
{file = "huggingface_hub-0.24.0-py3-none-any.whl", hash = "sha256:7ad92edefb93d8145c061f6df8d99df2ff85f8379ba5fac8a95aca0642afa5d7"},
{file = "huggingface_hub-0.24.0.tar.gz", hash = "sha256:6c7092736b577d89d57b3cdfea026f1b0dc2234ae783fa0d59caf1bf7d52dfa7"},
]
[package.dependencies]
@ -1255,17 +1255,17 @@ tqdm = ">=4.42.1"
typing-extensions = ">=3.7.4.3"
[package.extras]
all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio", "jedi", "minijinja (>=1.0)", "mypy (==1.5.1)", "numpy", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.3.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio", "jedi", "minijinja (>=1.0)", "mypy (==1.5.1)", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.5.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
cli = ["InquirerPy (==0.3.4)"]
dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio", "jedi", "minijinja (>=1.0)", "mypy (==1.5.1)", "numpy", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.3.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio", "jedi", "minijinja (>=1.0)", "mypy (==1.5.1)", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.5.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"]
hf-transfer = ["hf-transfer (>=0.1.4)"]
inference = ["aiohttp", "minijinja (>=1.0)"]
quality = ["mypy (==1.5.1)", "ruff (>=0.3.0)"]
quality = ["mypy (==1.5.1)", "ruff (>=0.5.0)"]
tensorflow = ["graphviz", "pydot", "tensorflow"]
tensorflow-testing = ["keras (<3.0)", "tensorflow"]
testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio", "jedi", "minijinja (>=1.0)", "numpy", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
torch = ["safetensors", "torch"]
testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio", "jedi", "minijinja (>=1.0)", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
torch = ["safetensors[torch]", "torch"]
typing = ["types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)"]
[[package]]
@ -1530,13 +1530,13 @@ test = ["pytest (>=7.4)", "pytest-cov (>=4.1)"]
[[package]]
name = "locust"
version = "2.29.0"
version = "2.29.1"
description = "Developer-friendly load testing framework"
optional = false
python-versions = ">=3.9"
files = [
{file = "locust-2.29.0-py3-none-any.whl", hash = "sha256:aa9d94d3604ed9f2aab3248460d91e55d3de980a821dffdf8658b439b049d03f"},
{file = "locust-2.29.0.tar.gz", hash = "sha256:649c99ce49d00720a3084c0109547035ad9021222835386599a8b545d31ebe51"},
{file = "locust-2.29.1-py3-none-any.whl", hash = "sha256:8b15daab44cdf50eef1860a32bb30969423e3795247115e5a37446da3240c6d6"},
{file = "locust-2.29.1.tar.gz", hash = "sha256:2e0628a59e2689a50cb4735a9a43709e30f2da7ed276c15d877c5325507f44b1"},
]
[package.dependencies]
@ -1555,6 +1555,7 @@ requests = [
{version = ">=2.26.0", markers = "python_version <= \"3.11\""},
]
tomli = {version = ">=1.1.0", markers = "python_version < \"3.11\""}
typing-extensions = {version = ">=4.6.0", markers = "python_version < \"3.11\""}
Werkzeug = ">=2.0.0"
[[package]]
@ -1793,44 +1794,44 @@ files = [
[[package]]
name = "mypy"
version = "1.10.0"
version = "1.11.0"
description = "Optional static typing for Python"
optional = false
python-versions = ">=3.8"
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[package.extras]
docs = ["furo", "olefile", "sphinx (>=2.4)", "sphinx-copybutton", "sphinx-inline-tabs", "sphinx-removed-in", "sphinxext-opengraph"]
docs = ["furo", "olefile", "sphinx (>=7.3)", "sphinx-copybutton", "sphinx-inline-tabs", "sphinxext-opengraph"]
fpx = ["olefile"]
mic = ["olefile"]
tests = ["check-manifest", "coverage", "defusedxml", "markdown2", "olefile", "packaging", "pyroma", "pytest", "pytest-cov", "pytest-timeout"]
@ -2810,28 +2827,29 @@ jupyter = ["ipywidgets (>=7.5.1,<9)"]
[[package]]
name = "ruff"
version = "0.4.10"
version = "0.5.4"
description = "An extremely fast Python linter and code formatter, written in Rust."
optional = false
python-versions = ">=3.7"
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13
machine-learning/scripts/configure-apt.sh Executable file
View file

@ -0,0 +1,13 @@
#!/usr/bin/env bash
set -e
sed -i -e's/ main/ main contrib non-free non-free-firmware/g' /etc/apt/sources.list.d/debian.sources
sed -i -e's/ bookworm-updates/ bookworm-updates sid/g' /etc/apt/sources.list.d/debian.sources
# default priority is 500, so we set unstable to 450 to prefer stable packages
cat > /etc/apt/preferences.d/preferences << EOL
Package: *
Pin: release a=unstable
Pin-Priority: 450
EOL