Comments (9)
RuntimeError: There were no tensor arguments to this function (e.g., you passed an empty list of Tensors), but no fallback function is registered for schema aten::_cat. This usually means that this function requires a non-empty list of Tensors. Available functions are [CPU, CUDA, QuantizedCPU, BackendSelect, Named, AutogradOther, AutogradCPU, AutogradCUDA, AutogradXLA, AutogradNestedTensor, UNKNOWN_TENSOR_TYPE_ID, AutogradPrivateUse1, AutogradPrivateUse2, AutogradPrivateUse3, Tracer, Autocast, Batched, VmapMode].
有人出现这种问题吗,这是哪里出现了问题
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大哥解决了不,我也遇到了
from yolov7.
大哥解决了不,我也遇到了
没有啊,不知道怎么回事
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大哥解决了不,我也遇到了
兄弟,你修改图片尺寸了吗
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我没有用coco数据集,图片时1024的,我的连1个epoch都训练不了,其他的跟你一样的
from yolov7.
我没有用coco数据集,图片时1024的,我的连1个epoch都训练不了,其他的跟你一样的
你尝试一下,把图片尺寸先改回来640试试,我改640可以了
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你的训练指令是什么能贴一下吗
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你的训练指令是什么能贴一下吗
我就直接 python train.py
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#33 参考这修改,可以解决
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Related Issues (20)
- V7x-seg HOT 1
- why the test result and valid result on the same dataset is different? HOT 1
- My device uses a Radeon Instinct MI25 MxGPU, is this compatible with Yolov7? HOT 1
- Need help with deployment HOT 7
- How to add more epochs and resume training (with optimizer state), after all training epochs are finished?
- Incurred problem during training on 4090
- CUDA out of memory during training HOT 2
- Yolov7 confusion matrix with background FP=1 and TN=0
- [bug] AttributeError: module 'numpy' has no attribute 'int' while training model on custom dataset for image segmentation task HOT 1
- Change from yolov3 to yolov7 HOT 2
- face recognition HOT 1
- shape inference of TRT::EfficientNMS_TRT type is missing HOT 1
- Custom dataset training vs Transfer-Learning HOT 16
- Transfer Learning for Custom Object Detection HOT 1
- Is incremental training possible?
- Hyper-parameter optimization of YOLOv7 model
- Real-time video detection detect.py
- Why yolov7-seg YOLOR head doesn't use implicitM ?
- How Confidence Score Calculated?
- wandb
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