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

* 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>

machine-learning/app/models/transforms.py

@@ -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

machine-learning/app/sessions/ort.py

@@ -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:

machine-learning/app/test_main.py

@@ -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"},
         ]