Decoupled_Detect bug
2239891257 opened this issue · 3 comments
Before submitting a bug report, please be aware that your issue must be reproducible with all of the following, otherwise it is non-actionable, and we can not help you:
- Current repo: run
git fetch && git status -unoto check andgit pullto update repo - Common dataset: coco.yaml or coco128.yaml
- Common environment: Colab, Google Cloud, or Docker image. See https://github.com/ultralytics/yolov5#environments
If this is a custom dataset/training question you must include your train*.jpg, test*.jpg and results.png figures, or we can not help you. You can generate these with utils.plot_results().
🐛 Bug
A clear and concise description of what the bug is.
To Reproduce (REQUIRED)
Input:
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.
File "/root/Yolo_Transformer/models/yolo_test.py", line 203, in forward
self.grid[i], self.anchor_grid[i] = self._make_grid(nx, ny, i)
RuntimeError: expand(torch.cuda.HalfTensor{[3, 68, 84, 2]}, size=[]): the number of sizes provided (0) must be greater or equal to the number of dimensions in the tensor (4)
File "/root/Yolo_Transformer/models/yolo_test.py", line 203, in forward self.grid[i], self.anchor_grid[i] = self._make_grid(nx, ny, i) RuntimeError: expand(torch.cuda.HalfTensor{[3, 68, 84, 2]}, size=[]): the number of sizes provided (0) must be greater or equal to the number of dimensions in the tensor (4)
Hello, please provide the model structure or run the command
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