Hi, I am facing problem on my kaggle notebook. It works in notebook viewer but when I save version commit and run it, it fails. Any help?
\nWhat I have tried?
\n\"force_reload=True\" & \"force_reload=false\" change of .pt & yolo dataset repo but every change makes same bug
My model code,
\ndef load_model():\n model = torch.hub.load('/kaggle/input/yolov5',\n 'custom',\n path='/my_trained_weights/best.pt',\n source='local',\n force_reload=True) # local repo\n model.conf = conf \n model.iou = iou \n model.classes = None # (optional list) filter by class, i.e. = [0, 15, 16] for persons, cats and dogs\n model.multi_label = False # multiple labels per box\n model.max_det = 1000 # maximum number of detections per image\n return model\nError :
\n\"Exception: Cache may be out of date, try force_reload=True. See https://github.com/ultralytics/yolov5/issues/36 for help.\"
ERROR LOG
\n---------------------------------------------------------------------------\nModuleNotFoundError Traceback (most recent call last)\n/kaggle/input/yolov5-lib-ds/hubconf.py in _create(name, pretrained, channels, classes, autoshape, verbose, device)\n 45 if pretrained and channels == 3 and classes == 80:\n---> 46 model = DetectMultiBackend(path, device=device) # download/load FP32 model\n 47 # model = models.experimental.attempt_load(path, map_location=device) # download/load FP32 model\n\n/kaggle/input/yolov5-lib-ds/models/common.py in __init__(self, weights, device, dnn)\n 308 elif pt: # PyTorch\n--> 309 model = attempt_load(weights, map_location=device)\n 310 stride = int(model.stride.max()) # model stride\n\n/kaggle/input/yolov5-lib-ds/models/experimental.py in attempt_load(weights, map_location, inplace, fuse)\n 95 for w in weights if isinstance(weights, list) else [weights]:\n---> 96 ckpt = torch.load(attempt_download(w), map_location=map_location) # load\n 97 if fuse:\n\n/opt/conda/lib/python3.7/site-packages/torch/serialization.py in load(f, map_location, pickle_module, **pickle_load_args)\n 606 return torch.jit.load(opened_file)\n--> 607 return _load(opened_zipfile, map_location, pickle_module, **pickle_load_args)\n 608 return _legacy_load(opened_file, map_location, pickle_module, **pickle_load_args)\n\n/opt/conda/lib/python3.7/site-packages/torch/serialization.py in _load(zip_file, map_location, pickle_module, pickle_file, **pickle_load_args)\n 881 unpickler.persistent_load = persistent_load\n--> 882 result = unpickler.load()\n 883 \n\n/opt/conda/lib/python3.7/site-packages/torch/serialization.py in find_class(self, mod_name, name)\n 874 mod_name = load_module_mapping.get(mod_name, mod_name)\n--> 875 return super().find_class(mod_name, name)\n 876 \n\nModuleNotFoundError: No module named 'yolov5'\n\nThe above exception was the direct cause of the following exception:\n\nException Traceback (most recent call last)\n/tmp/ipykernel_24/1095870980.py in <module>\n 7 os.chdir('/kaggle/working/yolo_reef')\n 8 \n----> 9 yolov5 = load_model()\n 10 \n 11 image_paths = get_sample_imgs(100)\n\n/tmp/ipykernel_24/535249075.py in load_model(conf, iou)\n 58 source='local',\n 59 device=device,\n---> 60 force_reload=True) # local repo\n 61 model.conf = conf\n 62 model.iou = iou\n\n/opt/conda/lib/python3.7/site-packages/torch/hub.py in load(repo_or_dir, model, *args, **kwargs)\n 380 repo_or_dir = _get_cache_or_reload(repo_or_dir, force_reload, verbose, skip_validation)\n 381 \n--> 382 model = _load_local(repo_or_dir, model, *args, **kwargs)\n 383 return model\n 384 \n\n/opt/conda/lib/python3.7/site-packages/torch/hub.py in _load_local(hubconf_dir, model, *args, **kwargs)\n 409 \n 410 entry = _load_entry_from_hubconf(hub_module, model)\n--> 411 model = entry(*args, **kwargs)\n 412 \n 413 sys.path.remove(hubconf_dir)\n\n/kaggle/input/yolov5-lib-ds/hubconf.py in custom(path, autoshape, verbose, device)\n 68 def custom(path='path/to/model.pt', autoshape=True, verbose=True, device=None):\n 69 # YOLOv5 custom or local model\n---> 70 return _create(path, autoshape=autoshape, verbose=verbose, device=device)\n 71 \n 72 \n\n/kaggle/input/yolov5-lib-ds/hubconf.py in _create(name, pretrained, channels, classes, autoshape, verbose, device)\n 63 help_url = 'https://github.com/ultralytics/yolov5/issues/36'\n 64 s = 'Cache may be out of date, try `force_reload=True`. See %s for help.' % help_url\n---> 65 raise Exception(s) from e\n 66 \n 67 \n\nException: Cache may be out of date, try `force_reload=True`. See https://github.com/ultralytics/yolov5/issues/36 for help.\nHi, I am facing problem on my kaggle notebook. It works in notebook viewer but when I save version commit and run it, it fails. Any help?
\nWhat I have tried?
\n\"force_reload=True\" & \"force_reload=false\" change of .pt & yolo dataset repo but every change makes same bug
My model code,
\ndef load_model():\n model = torch.hub.load('/kaggle/input/yolov5',\n 'custom',\n path='/my_trained_weights/best.pt',\n source='local',\n force_reload=True) # local repo\n model.conf = conf \n model.iou = iou \n model.classes = None # (optional list) filter by class, i.e. = [0, 15, 16] for persons, cats and dogs\n model.multi_label = False # multiple labels per box\n model.max_det = 1000 # maximum number of detections per image\n return model\nError :
\n\"Exception: Cache may be out of date, try force_reload=True. See https://github.com/ultralytics/yolov5/issues/36 for help.\"
ERROR LOG
\n---------------------------------------------------------------------------\nModuleNotFoundError Traceback (most recent call last)\n/kaggle/input/yolov5-lib-ds/hubconf.py in _create(name, pretrained, channels, classes, autoshape, verbose, device)\n 45 if pretrained and channels == 3 and classes == 80:\n---> 46 model = DetectMultiBackend(path, device=device) # download/load FP32 model\n 47 # model = models.experimental.attempt_load(path, map_location=device) # download/load FP32 model\n\n/kaggle/input/yolov5-lib-ds/models/common.py in __init__(self, weights, device, dnn)\n 308 elif pt: # PyTorch\n--> 309 model = attempt_load(weights, map_location=device)\n 310 stride = int(model.stride.max()) # model stride\n\n/kaggle/input/yolov5-lib-ds/models/experimental.py in attempt_load(weights, map_location, inplace, fuse)\n 95 for w in weights if isinstance(weights, list) else [weights]:\n---> 96 ckpt = torch.load(attempt_download(w), map_location=map_location) # load\n 97 if fuse:\n\n/opt/conda/lib/python3.7/site-packages/torch/serialization.py in load(f, map_location, pickle_module, **pickle_load_args)\n 606 return torch.jit.load(opened_file)\n--> 607 return _load(opened_zipfile, map_location, pickle_module, **pickle_load_args)\n 608 return _legacy_load(opened_file, map_location, pickle_module, **pickle_load_args)\n\n/opt/conda/lib/python3.7/site-packages/torch/serialization.py in _load(zip_file, map_location, pickle_module, pickle_file, **pickle_load_args)\n 881 unpickler.persistent_load = persistent_load\n--> 882 result = unpickler.load()\n 883 \n\n/opt/conda/lib/python3.7/site-packages/torch/serialization.py in find_class(self, mod_name, name)\n 874 mod_name = load_module_mapping.get(mod_name, mod_name)\n--> 875 return super().find_class(mod_name, name)\n 876 \n\nModuleNotFoundError: No module named 'yolov5'\n\nThe above exception was the direct cause of the following exception:\n\nException Traceback (most recent call last)\n/tmp/ipykernel_24/1095870980.py in <module>\n 7 os.chdir('/kaggle/working/yolo_reef')\n 8 \n----> 9 yolov5 = load_model()\n 10 \n 11 image_paths = get_sample_imgs(100)\n\n/tmp/ipykernel_24/535249075.py in load_model(conf, iou)\n 58 source='local',\n 59 device=device,\n---> 60 force_reload=True) # local repo\n 61 model.conf = conf\n 62 model.iou = iou\n\n/opt/conda/lib/python3.7/site-packages/torch/hub.py in load(repo_or_dir, model, *args, **kwargs)\n 380 repo_or_dir = _get_cache_or_reload(repo_or_dir, force_reload, verbose, skip_validation)\n 381 \n--> 382 model = _load_local(repo_or_dir, model, *args, **kwargs)\n 383 return model\n 384 \n\n/opt/conda/lib/python3.7/site-packages/torch/hub.py in _load_local(hubconf_dir, model, *args, **kwargs)\n 409 \n 410 entry = _load_entry_from_hubconf(hub_module, model)\n--> 411 model = entry(*args, **kwargs)\n 412 \n 413 sys.path.remove(hubconf_dir)\n\n/kaggle/input/yolov5-lib-ds/hubconf.py in custom(path, autoshape, verbose, device)\n 68 def custom(path='path/to/model.pt', autoshape=True, verbose=True, device=None):\n 69 # YOLOv5 custom or local model\n---> 70 return _create(path, autoshape=autoshape, verbose=verbose, device=device)\n 71 \n 72 \n\n/kaggle/input/yolov5-lib-ds/hubconf.py in _create(name, pretrained, channels, classes, autoshape, verbose, device)\n 63 help_url = 'https://github.com/ultralytics/yolov5/issues/36'\n 64 s = 'Cache may be out of date, try `force_reload=True`. See %s for help.' % help_url\n---> 65 raise Exception(s) from e\n 66 \n 67 \n\nException: Cache may be out of date, try `force_reload=True`. See https://github.com/ultralytics/yolov5/issues/36 for help.\nlook at other's notebook to find out what is wrong with yours.
", "rawMarkdown": "look at other's notebook to find out what is wrong with yours.", "votes": null }, { "id": "1619802", "postDate": "12/16/2021 08:14:25", "content": "I did, it's unclear. But, I figured it out, \"sys.path.append('../input/path-to-yolo')\" add this line and restart kernel, it should work. But, sometimes, multiple restart of kernel/env are needed.
", "rawMarkdown": "I did, it's unclear. But, I figured it out, \"sys.path.append('../input/path-to-yolo')\" add this line and restart kernel, it should work. But, sometimes, multiple restart of kernel/env are needed.", "votes": null }, { "id": "1627419", "postDate": "12/23/2021 21:39:46", "content": "You probably change path in notebook and your current path is read only eg. input path. You can check it using %pwd
\nI do not remember what should be solution but one of them:
one of the solution will work for sure
", "rawMarkdown": "You probably change path in notebook and your current path is read only eg. input path. You can check it using %pwd\nI do not remember what should be solution but one of them:\n- change your current location %cd /kaggle/working\nor\n- change your model location to /kaggle/input/xxxxx/xxxx where xxxx is your model located\n\none of the solution will work for sure", "votes": null } ], "comments": [ { "id": 1619691, "author_name": "dragonzhang", "author_url": "", "post_date": "12/16/2021 05:46:30", "content": "look at other's notebook to find out what is wrong with yours.
", "votes": null, "replies": [ { "id": 1619802, "author_name": "hey24sheep", "author_url": "", "post_date": "12/16/2021 08:14:25", "content": "I did, it's unclear. But, I figured it out, \"sys.path.append('../input/path-to-yolo')\" add this line and restart kernel, it should work. But, sometimes, multiple restart of kernel/env are needed.
", "votes": null, "replies": [] } ] }, { "id": 1627419, "author_name": "remekkinas", "author_url": "", "post_date": "12/23/2021 21:39:46", "content": "You probably change path in notebook and your current path is read only eg. input path. You can check it using %pwd
\nI do not remember what should be solution but one of them:
one of the solution will work for sure
", "votes": null, "replies": [] } ], "raw_markdown_by_id": { "1614243": "Hi, I am facing problem on my kaggle notebook. It works in notebook viewer but when I save version commit and run it, it fails. Any help?\n\nWhat I have tried?\n\"force_reload=True\" & \"force_reload=false\" change of .pt & yolo dataset repo but every change makes same bug\n\nMy model code,\n```python\n\ndef load_model():\n model = torch.hub.load('/kaggle/input/yolov5',\n 'custom',\n path='/my_trained_weights/best.pt',\n source='local',\n force_reload=True) # local repo\n model.conf = conf \n model.iou = iou \n model.classes = None # (optional list) filter by class, i.e. = [0, 15, 16] for persons, cats and dogs\n model.multi_label = False # multiple labels per box\n model.max_det = 1000 # maximum number of detections per image\n return model\n```\n\nError : \n\"Exception: Cache may be out of date, try `force_reload=True`. See https://github.com/ultralytics/yolov5/issues/36 for help.\"\n\nERROR LOG\n```LOG\n---------------------------------------------------------------------------\nModuleNotFoundError Traceback (most recent call last)\n/kaggle/input/yolov5-lib-ds/hubconf.py in _create(name, pretrained, channels, classes, autoshape, verbose, device)\n 45 if pretrained and channels == 3 and classes == 80:\n---> 46 model = DetectMultiBackend(path, device=device) # download/load FP32 model\n 47 # model = models.experimental.attempt_load(path, map_location=device) # download/load FP32 model\n\n/kaggle/input/yolov5-lib-ds/models/common.py in __init__(self, weights, device, dnn)\n 308 elif pt: # PyTorch\n--> 309 model = attempt_load(weights, map_location=device)\n 310 stride = int(model.stride.max()) # model stride\n\n/kaggle/input/yolov5-lib-ds/models/experimental.py in attempt_load(weights, map_location, inplace, fuse)\n 95 for w in weights if isinstance(weights, list) else [weights]:\n---> 96 ckpt = torch.load(attempt_download(w), map_location=map_location) # load\n 97 if fuse:\n\n/opt/conda/lib/python3.7/site-packages/torch/serialization.py in load(f, map_location, pickle_module, **pickle_load_args)\n 606 return torch.jit.load(opened_file)\n--> 607 return _load(opened_zipfile, map_location, pickle_module, **pickle_load_args)\n 608 return _legacy_load(opened_file, map_location, pickle_module, **pickle_load_args)\n\n/opt/conda/lib/python3.7/site-packages/torch/serialization.py in _load(zip_file, map_location, pickle_module, pickle_file, **pickle_load_args)\n 881 unpickler.persistent_load = persistent_load\n--> 882 result = unpickler.load()\n 883 \n\n/opt/conda/lib/python3.7/site-packages/torch/serialization.py in find_class(self, mod_name, name)\n 874 mod_name = load_module_mapping.get(mod_name, mod_name)\n--> 875 return super().find_class(mod_name, name)\n 876 \n\nModuleNotFoundError: No module named 'yolov5'\n\nThe above exception was the direct cause of the following exception:\n\nException Traceback (most recent call last)\n/tmp/ipykernel_24/1095870980.py in