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Description
Add Link
https://pytorch.org/tutorials/intermediate/torchvision_tutorial.html
Describe the bug
(On Widnows) The torchvision object detection tutorial fails when the main function doing the training is run. This is due to numpy removing support for numpy.float in version > 1.24.
Error:
AttributeError Traceback (most recent call last)
Cell In[11], line 65
63 lr_scheduler.step()
64 # evaluate on the test dataset
---> 65 evaluate(model, data_loader_test, device=device)
67 print("That's it!")
File C:\***\pytorch_venv\lib\site-packages\torch\utils\_contextlib.py:115, in context_decorator.<locals>.decorate_context(*args, **kwargs)
112 @functools.wraps(func)
113 def decorate_context(*args, **kwargs):
114 with ctx_factory():
--> 115 return func(*args, **kwargs)
File C:\***\engine.py:112, in evaluate(model, data_loader, device)
109 coco_evaluator.synchronize_between_processes()
111 # accumulate predictions from all images
--> 112 coco_evaluator.accumulate()
113 coco_evaluator.summarize()
114 torch.set_num_threads(n_threads)
File C:\***\coco_eval.py:51, in CocoEvaluator.accumulate(self)
49 def accumulate(self):
50 for coco_eval in self.coco_eval.values():
---> 51 coco_eval.accumulate()
File C:\***\pytorch_venv\lib\site-packages\pycocotools\cocoeval.py:378, in COCOeval.accumulate(self, p)
375 tps = np.logical_and( dtm, np.logical_not(dtIg) )
376 fps = np.logical_and(np.logical_not(dtm), np.logical_not(dtIg) )
--> 378 tp_sum = np.cumsum(tps, axis=1).astype(dtype=np.float)
379 fp_sum = np.cumsum(fps, axis=1).astype(dtype=np.float)
380 for t, (tp, fp) in enumerate(zip(tp_sum, fp_sum)):
File C:\***\pytorch_venv\lib\site-packages\numpy\__init__.py:338, in __getattr__(attr)
333 warnings.warn(
334 f"In the future `np.{attr}` will be defined as the "
335 "corresponding NumPy scalar.", FutureWarning, stacklevel=2)
337 if attr in __former_attrs__:
--> 338 raise AttributeError(__former_attrs__[attr])
340 if attr == 'testing':
341 import numpy.testing as testing
AttributeError: module 'numpy' has no attribute 'float'.
`np.float` was a deprecated alias for the builtin `float`. To avoid this error in existing code, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
The aliases was originally deprecated in NumPy 1.20; for more details and guidance see the original release note at:
https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
There is another bug report open in pycocotools git repo which seems to be not maintained any longer.
cocodataset/cocoapi#624
Describe your environment
Windows 10
Pytorch 2.1.2+cu121
numpy 1.26.3