scorevision: push artifact

chute_config.yml

@@ -3,16 +3,13 @@ Image:
   run_command:
   - pip install --upgrade setuptools wheel
   - pip install 'numpy>=1.23' 'onnxruntime-gpu>=1.16' 'nvidia-cudnn-cu12' 'nvidia-cublas-cu12'
-    'nvidia-cuda-runtime-cu12' 'nvidia-cufft-cu12' 'nvidia-curand-cu12'
-    'nvidia-cusolver-cu12' 'nvidia-cusparse-cu12' 'nvidia-nvjitlink-cu12'
-    'tensorrt>=10.0' 'opencv-python-headless>=4.7' 'pillow>=9.5' 'huggingface_hub>=0.19.4'
-    'pydantic>=2.0' 'pyyaml>=6.0' 'aiohttp>=3.9' 'ensemble-boxes>=1.0' 'torch>=2.6,<3.0'
+    'opencv-python-headless>=4.7' 'pillow>=9.5' 'huggingface_hub>=0.19.4' 'pydantic>=2.0'
+    'pyyaml>=6.0' 'aiohttp>=3.9' 'ensemble-boxes>=1.0' 'torch>=2.6,<3.0'
 NodeSelector:
   gpu_count: 1
   min_vram_gb_per_gpu: 16
   max_hourly_price_per_gpu: 2.0
   exclude:
-  - '3090'
   - '5090'
   - b200
   - h200

miner.py

@@ -92,95 +92,6 @@ def _preload_cuda_libs():
 
 _preload_cuda_libs()
 
-import subprocess as _subprocess
-import sys as _sys
-
-def _try_gpu_ort():
-    """Attempt runtime install of onnxruntime-gpu for CUDA inference."""
-    import time as _t
-    _t0 = _t.time()
-
-    try:
-        import torch
-        print(f"[GPU_SETUP] torch={torch.__version__} cuda={torch.cuda.is_available()} "
-              f"devices={torch.cuda.device_count()}", flush=True)
-        if torch.cuda.is_available():
-            print(f"[GPU_SETUP] GPU: {torch.cuda.get_device_name(0)}", flush=True)
-    except Exception as e:
-        print(f"[GPU_SETUP] torch check failed: {e}", flush=True)
-
-    try:
-        import onnxruntime as _ort
-        providers = _ort.get_available_providers()
-        print(f"[GPU_SETUP] ORT={_ort.__version__} providers={providers}", flush=True)
-        if 'CUDAExecutionProvider' in providers:
-            print("[GPU_SETUP] CUDAExecutionProvider already available!", flush=True)
-            return
-    except ImportError:
-        print("[GPU_SETUP] onnxruntime not importable", flush=True)
-        return
-
-    result = _subprocess.run(
-        [_sys.executable, '-m', 'pip', 'list', '--format=columns'],
-        capture_output=True, text=True, timeout=15
-    )
-    for pkg in ['onnxruntime', 'torch', 'nvidia-cu', 'ultralytics']:
-        for line in result.stdout.splitlines():
-            if pkg.lower() in line.lower():
-                print(f"[GPU_SETUP] pkg: {line.strip()}", flush=True)
-
-    print("[GPU_SETUP] Attempting onnxruntime-gpu install...", flush=True)
-    try:
-        r1 = _subprocess.run(
-            [_sys.executable, '-m', 'pip', 'uninstall', 'onnxruntime', '-y'],
-            capture_output=True, text=True, timeout=30
-        )
-        print(f"[GPU_SETUP] uninstall rc={r1.returncode}", flush=True)
-
-        r2 = _subprocess.run(
-            [_sys.executable, '-m', 'pip', 'install', 'onnxruntime-gpu', '--no-deps'],
-            capture_output=True, text=True, timeout=180
-        )
-        print(f"[GPU_SETUP] install rc={r2.returncode}", flush=True)
-        if r2.stdout:
-            for line in r2.stdout.strip().splitlines()[-3:]:
-                print(f"[GPU_SETUP] stdout: {line}", flush=True)
-        if r2.stderr:
-            for line in r2.stderr.strip().splitlines()[-3:]:
-                print(f"[GPU_SETUP] stderr: {line}", flush=True)
-
-        if r2.returncode != 0:
-            print("[GPU_SETUP] FAILED — reinstalling CPU onnxruntime", flush=True)
-            _subprocess.run(
-                [_sys.executable, '-m', 'pip', 'install', 'onnxruntime', '--no-deps'],
-                capture_output=True, timeout=60
-            )
-            return
-
-        for key in list(_sys.modules.keys()):
-            if 'onnxruntime' in key:
-                del _sys.modules[key]
-
-        import onnxruntime as _ort2
-        new_providers = _ort2.get_available_providers()
-        _dt = _t.time() - _t0
-        print(f"[GPU_SETUP] SUCCESS: ORT={_ort2.__version__} providers={new_providers} ({_dt:.1f}s)", flush=True)
-
-    except Exception as e:
-        print(f"[GPU_SETUP] EXCEPTION: {e}", flush=True)
-        try:
-            for key in list(_sys.modules.keys()):
-                if 'onnxruntime' in key:
-                    del _sys.modules[key]
-            _subprocess.run(
-                [_sys.executable, '-m', 'pip', 'install', 'onnxruntime', '--no-deps'],
-                capture_output=True, timeout=60
-            )
-            print("[GPU_SETUP] Restored CPU onnxruntime", flush=True)
-        except Exception:
-            pass
-
-_try_gpu_ort()
 
 
 from pathlib import Path
@@ -676,7 +587,7 @@ class Miner:
 
     def __repr__(self) -> str:
         trt_status = "TRT" if self._trt_ready else "CUDA (TRT building)"
-        return f"Unified Miner v3.15 — person={trt_status}, background TRT engine build"
+        return f"Unified Miner v3.16 — person={trt_status}, background TRT engine build"
 
     # ── Vehicle preprocessing (letterbox) ───────────────────────────────────