您好，debug predict.py的时候出现The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. 请问是怎么回事？如何解决？

[xuexisuanfa]

debug predict.py的时候出现The .grad attribute of a Tensor that is not a leaf Tensor is being accessed.
当时mode选的是predict
详情：

D:\Users\li\Anaconda3\envs\yolov7_tiny_obb\python.exe "E:/Program Files/JetBrains/PyCharm 2022.2.2/plugins/python/helpers/pydev/pydevd.py" --multiprocess --qt-support=auto --client 127.0.0.1 --port 60043 --file E:\yolov7-tiny-obb-master\predict.py
Connected to pydev debugger (build 222.4167.33)
Fusing layers...
logs2/bew.pt model, and classes loaded.
Configurations:

| keys | values|

| model_path | logs2/bew.pt|
| classes_path | model_data/uav_classes.txt|
| anchors_path | model_data/yolo_anchors.txt|
| anchors_mask | [[6, 7, 8], [3, 4, 5], [0, 1, 2]]|
| input_shape | [640, 640]|
| confidence | 0.5|
| nms_iou | 0.3|
| letterbox_image | True|
| cuda | True|

D:\Users\li\Anaconda3\envs\yolov7_tiny_obb\lib\site-packages\torch_tensor.py:1013: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more informations. (Triggered internally at aten\src\ATen/core/TensorBody.h:417.)
return self._grad
Input image filename:

[Egrt]

警告可以忽略