import torch
a = torch.tensor([5])
c = a / 0
Output:
Traceback (most recent call last):
  File "/Users/glennjocher/opt/anaconda3/envs/env1/lib/python3.7/site-packages/IPython/core/interactiveshell.py", line 3331, in run_code
    exec(code_obj, self.user_global_ns, self.user_ns)
  File "<ipython-input-5-be04c762b799>", line 5, in <module>
    c = a / 0
RuntimeError: ZeroDivisionError
Expected behavior
A clear and concise description of what you expected to happen.
Environment
If applicable, add screenshots to help explain your problem.
OS: [e.g. Ubuntu]
GPU [e.g. 2080 Ti]
Additional context
Add any other context about the problem here.
          
👋 Hello @lizhiying-2019, thank you for your interest in YOLOv5 🚀! Please visit our ⭐️ Tutorials to get started, where you can find quickstart guides for simple tasks like Custom Data Training all the way to advanced concepts like Hyperparameter Evolution.
If this is a 🐛 Bug Report, please provide screenshots and minimum viable code to reproduce your issue, otherwise we can not help you.
If this is a custom training ❓ Question, please provide as much information as possible, including dataset images, training logs, screenshots, and a public link to online W&B logging if available.
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Requirements
Python>=3.6.0 with all requirements.txt installed including PyTorch>=1.7. To get started:
$ git clone https://github.com/ultralytics/yolov5
$ cd yolov5
$ pip install -r requirements.txt
Environments
YOLOv5 may be run in any of the following up-to-date verified environments (with all dependencies including CUDA/CUDNN, Python and PyTorch preinstalled):
Google Colab and Kaggle notebooks with free GPU:  
Google Cloud Deep Learning VM. See GCP Quickstart Guide
Amazon Deep Learning AMI. See AWS Quickstart Guide
Docker Image. See Docker Quickstart Guide 
Status
If this badge is green, all YOLOv5 GitHub Actions Continuous Integration (CI) tests are currently passing. CI tests verify correct operation of YOLOv5 training (train.py), validation (val.py), inference (detect.py) and export (export.py) on MacOS, Windows, and Ubuntu every 24 hours and on every commit.
      changed the title
When I use train.py to train my data,always report this error.Traceback (most recent call last):   File "/home/lzy/.pycharm_helpers/pydev/pydevd.py", line 1483, in _exec     pydev_imports.execfile(file, globals, locals)  # execute the script   File "/home/lzy/.pycharm_helpers/pydev/_pydev_imps/_pydev_execfile.py", line 18, in execfile     exec(compile(contents+"\n", file, 'exec'), glob, loc)   File "/home/lzy/exper/yolo/train.py", line 621, in <module>     main(opt)   File "/home/lzy/exper/yolo/train.py", line 518, in main     train(opt.hyp, opt, device, callbacks)   File "/home/lzy/exper/yolo/train.py", line 215, in train     mlc = int(np.concatenate(dataset.labels, 0)[:, 0].max())  # max label class   File "/home/lzy/anaconda3/envs/yolo/lib/python3.7/site-packages/numpy/core/_methods.py", line 40, in _amax     return umr_maximum(a, axis, None, out, keepdims, initial, where) ValueError: zero-size array to reduction operation maximum which has no identity
When I use train.py to train my data,always report this error.                   File "/home/lzy/.pycharm_helpers/pydev/pydevd.py", line 1483, in _exec     pydev_imports.execfile(file, globals, locals)  # execute the script   File "/home/lzy/.pycharm_helpers/pydev/_pydev_imps/_pydev_execfile.py", line 18, in execfile     exec(compile(contents+"\n", file, 'exec'), glob, loc)   File "/home/lzy/exper/yolo/train.py", line 621, in <module>     main(opt)   File "/home/lzy/exper/yolo/train.py", line 518, in main     train(opt.hyp, opt, device, callbacks)   File "/home/lzy/exper/yolo/train.py", line 215, in train     mlc = int(np.concatenate(dataset.labels, 0)[:, 0].max())  # max label class   File "/home/lzy/anaconda3/envs/yolo/lib/python3.7/site-packages/numpy/core/_methods.py", line 40, in _amax     return umr_maximum(a, axis, None, out, keepdims, initial, where) ValueError: zero-size array to reduction operation maximum which has no identity
    Oct 13, 2021
      changed the title
When I use train.py to train my data,always report this error.                   File "/home/lzy/.pycharm_helpers/pydev/pydevd.py", line 1483, in _exec     pydev_imports.execfile(file, globals, locals)  # execute the script   File "/home/lzy/.pycharm_helpers/pydev/_pydev_imps/_pydev_execfile.py", line 18, in execfile     exec(compile(contents+"\n", file, 'exec'), glob, loc)   File "/home/lzy/exper/yolo/train.py", line 621, in <module>     main(opt)   File "/home/lzy/exper/yolo/train.py", line 518, in main     train(opt.hyp, opt, device, callbacks)   File "/home/lzy/exper/yolo/train.py", line 215, in train     mlc = int(np.concatenate(dataset.labels, 0)[:, 0].max())  # max label class   File "/home/lzy/anaconda3/envs/yolo/lib/python3.7/site-packages/numpy/core/_methods.py", line 40, in _amax     return umr_maximum(a, axis, None, out, keepdims, initial, where) ValueError: zero-size array to reduction operation maximum which has no identity
When I use train.py to train my data,always report this error.      
    Oct 13, 2021
When I use train.py to train my data,always report this error.      
When I use train.py to train my data,always report this error.      mlc = int(np.concatenate(dataset.labels, 0)[:, 0].max())  # max label class    return umr_maximum(a, axis, None, out, keepdims, initial, where)   ValueError: zero-size array to reduction operation maximum which has no identity
    Oct 13, 2021
          
@lizhiying-2019 👋 hi, thanks for letting us know about this possible problem with YOLOv5 🚀. We've created a few short guidelines below to help users provide what we need in order to get started investigating a possible problem.
How to create a Minimal, Reproducible Example
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✅ Minimal – Use as little code as possible that still produces the same problem
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In addition to the above requirements, for Ultralytics to provide assistance your code should be:
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✅ Unmodified – Your problem must be reproducible without any modifications to the codebase in this repository. Ultralytics does not provide support for custom code ⚠️.
If you believe your problem meets all of the above criteria, please close this issue and raise a new one using the 🐛 Bug Report template and providing a minimum reproducible example to help us better understand and diagnose your problem.
Thank you! 😃
          
👋 Hello, this issue has been automatically marked as stale because it has not had recent activity. Please note it will be closed if no further activity occurs.
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