RuntimeError: set_storage is not allowed on Tensor created from .data or .detach()

[haoran1062]

pytorch1.1 cuda9.0, run train get error:

Model Summary: 222 layers, 6.15291e+07 parameters, 6.15291e+07 gradients

   Epoch       Batch        xy        wh      conf       cls     total  nTargets      time
Traceback (most recent call last):
  File "train.py", line 308, in <module>
    multi_scale=opt.multi_scale,
  File "train.py", line 184, in train
    pred = model(imgs)
  File "/root/anaconda3/envs/py36/lib/python3.6/site-packages/torch/nn/modules/module.py", line 491, in __call__
    result = self.forward(*input, **kwargs)
  File "/root/anaconda3/envs/py36/lib/python3.6/site-packages/torch/nn/parallel/distributed.py", line 360, in forward
    self._sync_params()
  File "/root/anaconda3/envs/py36/lib/python3.6/site-packages/torch/nn/parallel/distributed.py", line 392, in _sync_params
    param_data.set_(tensor)
RuntimeError: set_storage is not allowed on Tensor created from .data or .detach()

[glenn-jocher]

Hello, thank you for your interest in our work! This is an automated response. Please note that most technical problems are due to:

• Your changes to the default repository. If your issue is not reproducible in a fresh git clone version of this repository we can not debug it. Before going further run this code and ensure your issue persists:

  sudo rm -rf yolov3  # remove exising repo
  git clone https://github.com/ultralytics/yolov3 && cd yolov3 # git clone latest
  python3 detect.py  # verify detection
  python3 train.py  # verify training (a few batches only)
  # CODE TO REPRODUCE YOUR ISSUE HERE

• Your custom data. If your issue is not reproducible with COCO data we can not debug it. Visit our Custom Training Tutorial for exact details on how to format your custom data. Examine train_batch0.jpg and test_batch0.jpg for a sanity check of training and testing data.
• Your environment. If your issue is not reproducible in a GCP Quickstart Guide VM we can not debug it. Ensure you meet the requirements specified in the README: Unix, MacOS, or Windows with Python >= 3.7, Pytorch >= 1.1, etc. You can also use our Google Colab Notebook to test your code in working environment.

If none of these apply to you, we suggest you close this issue and raise a new one using the Bug Report template, providing screenshots and minimum viable code to reproduce your issue. Thank you!

[ZhxJia]

i got the same error ,how to solve it?

[glenn-jocher]

@ZhxJia this runtime error is typically caused by attempting to modify a tensor that has been created using the .data or .detach() method. To resolve this, ensure that you are not directly modifying tensors created from .data or .detach() and instead modify the original tensor before creating the detached version.

If you need further assistance, please provide more details about the specific situation in which this error occurs, such as relevant code snippets or a description of the training process, so that I can offer more targeted guidance.