How to save model <AutoShape>

[sobassy]

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Question

I want to custom model to torch.hub loadable file.

After training, I changed class name mannually,

model = torch.hub.load(".", "custom", path="all.pt", source="local")
model.names[4] = 'sample'

How to save this model object same type file ?

I tried below,

torch.save(model, "all2.pt")
torch.save(model.model, "all2.pt")
torch.save(model.half(), "all2.pt") 

model = torch.hub.load(".", "custom", path="all2.pt", source="local")

but these 3 tries caused same error,

YOLOv5  2023-3-23 Python-3.9.17 torch-2.0.1 CUDA:0 (NVIDIA GeForce RTX 3080, 10240MiB)

---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
File \\10.213.84.20\yolov5\hubconf.py:49, in _create(name, pretrained, channels, classes, autoshape, verbose, device)
     48 try:
---> 49     model = DetectMultiBackend(path, device=device, fuse=autoshape)  # detection model
     50     if autoshape:

File \\10.213.84.20\yolov5\.\models\common.py:344, in DetectMultiBackend.__init__(self, weights, device, dnn, data, fp16, fuse)
    343 if pt:  # PyTorch
--> 344     model = attempt_load(weights if isinstance(weights, list) else w, device=device, inplace=True, fuse=fuse)
    345     stride = max(int(model.stride.max()), 32)  # model stride

File \\10.213.84.20\yolov5\.\models\experimental.py:80, in attempt_load(weights, device, inplace, fuse)
     79 ckpt = torch.load(attempt_download(w), map_location='cpu')  # load
---> 80 ckpt = (ckpt.get('ema') or ckpt['model']).to(device).float()  # FP32 model
     82 # Model compatibility updates

File ~\.conda\envs\llm\lib\site-packages\torch\nn\modules\module.py:1614, in Module.__getattr__(self, name)
   1613         return modules[name]
-> 1614 raise AttributeError("'{}' object has no attribute '{}'".format(
   1615     type(self).__name__, name))

AttributeError: 'AutoShape' object has no attribute 'get'

During handling of the above exception, another exception occurred:

AttributeError                            Traceback (most recent call last)
File \\10.213.84.20\yolov5\hubconf.py:60, in _create(name, pretrained, channels, classes, autoshape, verbose, device)
     59     except Exception:
---> 60         model = attempt_load(path, device=device, fuse=False)  # arbitrary model
     61 else:

File \\10.213.84.20\yolov5\.\models\experimental.py:80, in attempt_load(weights, device, inplace, fuse)
     79 ckpt = torch.load(attempt_download(w), map_location='cpu')  # load
---> 80 ckpt = (ckpt.get('ema') or ckpt['model']).to(device).float()  # FP32 model
     82 # Model compatibility updates

File ~\.conda\envs\llm\lib\site-packages\torch\nn\modules\module.py:1614, in Module.__getattr__(self, name)
   1613         return modules[name]
-> 1614 raise AttributeError("'{}' object has no attribute '{}'".format(
   1615     type(self).__name__, name))

AttributeError: 'AutoShape' object has no attribute 'get'

The above exception was the direct cause of the following exception:

Exception                                 Traceback (most recent call last)
Cell In[10], line 1
----> 1 model = torch.hub.load(".", "custom", path="all2.pt", source="local")

File ~\.conda\envs\llm\lib\site-packages\torch\hub.py:558, in load(repo_or_dir, model, source, trust_repo, force_reload, verbose, skip_validation, *args, **kwargs)
    554 if source == 'github':
    555     repo_or_dir = _get_cache_or_reload(repo_or_dir, force_reload, trust_repo, "load",
    556                                        verbose=verbose, skip_validation=skip_validation)
--> 558 model = _load_local(repo_or_dir, model, *args, **kwargs)
    559 return model

File ~\.conda\envs\llm\lib\site-packages\torch\hub.py:587, in _load_local(hubconf_dir, model, *args, **kwargs)
    584     hub_module = _import_module(MODULE_HUBCONF, hubconf_path)
    586     entry = _load_entry_from_hubconf(hub_module, model)
--> 587     model = entry(*args, **kwargs)
    589 return model

File \\10.213.84.20\yolov5\hubconf.py:83, in custom(path, autoshape, _verbose, device)
     81 def custom(path='path/to/model.pt', autoshape=True, _verbose=True, device=None):
     82     # YOLOv5 custom or local model
---> 83     return _create(path, autoshape=autoshape, verbose=_verbose, device=device)

File \\10.213.84.20\yolov5\yolov5\hubconf.py:78, in _create(name, pretrained, channels, classes, autoshape, verbose, device)
     76 help_url = 'https://github.com/ultralytics/yolov5/issues/36'
     77 s = f'{e}. Cache may be out of date, try `force_reload=True` or see {help_url} for help.'
---> 78 raise Exception(s) from e

Exception: 'AutoShape' object has no attribute 'get'. Cache may be out of date, try `force_reload=True` or see https://github.com/ultralytics/yolov5/issues/36 for help.

Additional

No response

[github-actions]

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[glenn-jocher]

@sobassy to save the YOLOv5 model, you can use the following code:

model.save("all2.pt")

This will save the model object as a file named "all2.pt".

After that, you can load the saved model using the code you provided:

model = torch.hub.load(".", "custom", path="all2.pt", source="local")

Please make sure that you have the necessary permissions to save files in the specified location.

Let me know if you have any further questions!

[sobassy]

@glenn-jocher

Thank so much for your advice!
I tried your code, but got error,

---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
Cell In[6], line 1
----> 1 model.save("all2.pt")

File ~\.conda\envs\llm\lib\site-packages\torch\nn\modules\module.py:1614, in Module.__getattr__(self, name)
   1612     if name in modules:
   1613         return modules[name]
-> 1614 raise AttributeError("'{}' object has no attribute '{}'".format(
   1615     type(self).__name__, name))

AttributeError: 'AutoShape' object has no attribute 'save'

It's wrong object, I checked object type,

print(type(model))
print(type(model.model))
print(type(model.model.model))
print(type(model.model.model.model))

returns,

<class 'models.common.AutoShape'>
<class 'models.common.DetectMultiBackend'>
<class 'models.yolo.DetectionModel'>
<class 'torch.nn.modules.container.Sequential'>

Can you give me some advice?

[github-actions]

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[glenn-jocher]

@sobassy I apologize for the confusion. It seems that the AutoShape object itself does not have a save method. Instead, you should save the underlying model attribute directly. Here's the corrected code:

torch.save(model.model, "all2.pt")

This will save the inner model as a file named "all2.pt", which you can then load using the code you provided in your original question.

Let me know if you encounter any more issues!