immich_machine_learning | RuntimeException: [ONNXRuntimeError] : 6 : immich_machine_learning | RUNTIME_EXCEPTION : Non-zero status code returned immich_machine_learning | while running Resize node. Name:'Resize.6' Status immich_machine_learning | Message: immich_machine_learning | /onnxruntime_src/onnxruntime/core/framework/bfc_are immich_machine_learning | na.cc:359 void* immich_machine_learning | onnxruntime::BFCArena::AllocateRawInternal(size_t, immich_machine_learning | bool, onnxruntime::Stream*) Failed to allocate immich_machine_learning | memory for requested buffer of size 211025920 immich_machine_learning | immich_machine_learning | [02/18/26 18:53:14] ERROR Exception in ASGI application immich_machine_learning | immich_machine_learning | ╭─────── Traceback (most recent call last) ───────╮ immich_machine_learning | │ /usr/src/immich_ml/main.py:191 in predict │ immich_machine_learning | │ │ immich_machine_learning | │ 188 │ │ inputs = text │ immich_machine_learning | │ 189 │ else: │ immich_machine_learning | │ 190 │ │ raise HTTPException(400, "Either │ immich_machine_learning | │ ❱ 191 │ response = await run_inference(inputs │ immich_machine_learning | │ 192 │ return ORJSONResponse(response) │ immich_machine_learning | │ 193 │ immich_machine_learning | │ 194 │ immich_machine_learning | │ │ immich_machine_learning | │ /usr/src/immich_ml/main.py:216 in run_inference │ immich_machine_learning | │ │ immich_machine_learning | │ 213 │ │ response[entry["task"]] = output │ immich_machine_learning | │ 214 │ │ immich_machine_learning | │ 215 │ without_deps, with_deps = entries │ immich_machine_learning | │ ❱ 216 │ await asyncio.gather(*[_run_inference │ immich_machine_learning | │ 217 │ if with_deps: │ immich_machine_learning | │ 218 │ │ await asyncio.gather(*[_run_infer │ immich_machine_learning | │ 219 │ if isinstance(payload, Image): │ immich_machine_learning | │ │ immich_machine_learning | │ /usr/src/immich_ml/main.py:211 in │ immich_machine_learning | │ _run_inference │ immich_machine_learning | │ │ immich_machine_learning | │ 208 │ │ │ │ message = f"Task {entry[' │ immich_machine_learning | │ output of {dep}" │ immich_machine_learning | │ 209 │ │ │ │ raise HTTPException(400, │ immich_machine_learning | │ 210 │ │ model = await load(model) │ immich_machine_learning | │ ❱ 211 │ │ output = await run(model.predict, │ immich_machine_learning | │ 212 │ │ outputs[model.identity] = output │ immich_machine_learning | │ 213 │ │ response[entry["task"]] = output │ immich_machine_learning | │ 214 │ immich_machine_learning | │ │ immich_machine_learning | │ /usr/src/immich_ml/main.py:229 in run │ immich_machine_learning | │ │ immich_machine_learning | │ 226 │ if thread_pool is None: │ immich_machine_learning | │ 227 │ │ return func(*args, **kwargs) │ immich_machine_learning | │ 228 │ partial_func = partial(func, *args, * │ immich_machine_learning | │ ❱ 229 │ return await asyncio.get_running_loop │ immich_machine_learning | │ 230 │ immich_machine_learning | │ 231 │ immich_machine_learning | │ 232 async def load(model: InferenceModel) -> │ immich_machine_learning | │ │ immich_machine_learning | │ /usr/local/lib/python3.11/concurrent/futures/th │ immich_machine_learning | │ read.py:58 in run │ immich_machine_learning | │ │ immich_machine_learning | │ /usr/src/immich_ml/models/base.py:60 in predict │ immich_machine_learning | │ │ immich_machine_learning | │ 57 │ │ self.load() │ immich_machine_learning | │ 58 │ │ if model_kwargs: │ immich_machine_learning | │ 59 │ │ │ self.configure(**model_kwargs │ immich_machine_learning | │ ❱ 60 │ │ return self._predict(*inputs) │ immich_machine_learning | │ 61 │ │ immich_machine_learning | │ 62 │ @abstractmethod │ immich_machine_learning | │ 63 │ def _predict(self, *inputs: Any, **mo │ immich_machine_learning | │ │ immich_machine_learning | │ /usr/src/immich_ml/models/ocr/detection.py:70 │ immich_machine_learning | │ in _predict │ immich_machine_learning | │ │ immich_machine_learning | │ 67 │ │ w, h = inputs.size │ immich_machine_learning | │ 68 │ │ if w < 32 or h < 32: │ immich_machine_learning | │ 69 │ │ │ return self._empty │ immich_machine_learning | │ ❱ 70 │ │ out = self.session.run(None, {"x" │ immich_machine_learning | │ 71 │ │ boxes, scores = self.postprocess( │ immich_machine_learning | │ 72 │ │ if len(boxes) == 0: │ immich_machine_learning | │ 73 │ │ │ return self._empty │ immich_machine_learning | │ │ immich_machine_learning | │ /usr/src/immich_ml/sessions/ort.py:51 in run │ immich_machine_learning | │ │ immich_machine_learning | │ 48 │ │ input_feed: dict[str, NDArray[np. │ immich_machine_learning | │ 49 │ │ run_options: Any = None, │ immich_machine_learning | │ 50 │ ) -> list[NDArray[np.float32]]: │ immich_machine_learning | │ ❱ 51 │ │ outputs: list[NDArray[np.float32] │ immich_machine_learning | │ run_options) │ immich_machine_learning | │ 52 │ │ return outputs │ immich_machine_learning | │ 53 │ │ immich_machine_learning | │ 54 │ @property │ immich_machine_learning | │ │ immich_machine_learning | │ /opt/venv/lib/python3.11/site-packages/onnxrunt │ immich_machine_learning | │ ime/capi/onnxruntime_inference_collection.py:28 │ immich_machine_learning | │ 7 in run │ immich_machine_learning | │ │ immich_machine_learning | │ 284 │ │ if not output_names: │ immich_machine_learning | │ 285 │ │ │ output_names = [output.name │ immich_machine_learning | │ 286 │ │ try: │ immich_machine_learning | │ ❱ 287 │ │ │ return self._sess.run(output │ immich_machine_learning | │ 288 │ │ except C.EPFail as err: │ immich_machine_learning | │ 289 │ │ │ if self._enable_fallback: │ immich_machine_learning | │ 290 │ │ │ │ print(f"EP Error: {err!s │ immich_machine_learning | ╰─────────────────────────────────────────────────╯ immich_machine_learning | RuntimeException: [ONNXRuntimeError] : 6 : immich_machine_learning | RUNTIME_EXCEPTION : Non-zero status code returned immich_machine_learning | while running Conv node. Name:'Conv.0' Status immich_machine_learning | Message: immich_machine_learning | /onnxruntime_src/onnxruntime/core/framework/bfc_are immich_machine_learning | na.cc:359 void* immich_machine_learning | onnxruntime::BFCArena::AllocateRawInternal(size_t, immich_machine_learning | bool, onnxruntime::Stream*) Failed to allocate immich_machine_learning | memory for requested buffer of size 26378240 immich_machine_learning |