Comments (6)
首页快速开始的demo能跑出来吗
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首页快速开始的demo能跑出来吗
可以,运行tinyvit_5m.py这个脚本的时候报的错
from awesome-backbones.
报错贴全,这样方便定位
from awesome-backbones.
完整报错是这样的
Traceback (most recent call last):
File "tools/single_test.py", line 42, in
main()
File "tools/single_test.py", line 36, in main
result = inference_model(model, args.img, val_pipeline, classes_names,label_names)
File "/home/work/hy/data_clean/task/Awesome-Backbones-main/utils/inference.py", line 63, in inference_model
scores = model(image.to(device),return_loss=False)
File "/home/work/.conda/envs/control/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1130, in _call_impl
return forward_call(*input, **kwargs)
File "/home/work/hy/data_clean/task/Awesome-Backbones-main/models/build.py", line 127, in forward
return self.forward_test(x,**kwargs)
File "/home/work/hy/data_clean/task/Awesome-Backbones-main/models/build.py", line 138, in forward_test
x = self.extract_feat(x)
File "/home/work/hy/data_clean/task/Awesome-Backbones-main/models/build.py", line 113, in extract_feat
x = self.backbone(img)
File "/home/work/.conda/envs/control/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1130, in _call_impl
return forward_call(*input, **kwargs)
File "/home/work/hy/data_clean/task/Awesome-Backbones-main/configs/backbones/tinyvit.py", line 742, in forward
x = stage(x)
File "/home/work/.conda/envs/control/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1130, in _call_impl
return forward_call(*input, **kwargs)
File "/home/work/hy/data_clean/task/Awesome-Backbones-main/configs/backbones/tinyvit.py", line 552, in forward
x = block(x)
File "/home/work/.conda/envs/control/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1130, in _call_impl
return forward_call(*input, **kwargs)
File "/home/work/hy/data_clean/task/Awesome-Backbones-main/configs/backbones/tinyvit.py", line 457, in forward
x = self.attn(x)
File "/home/work/.conda/envs/control/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1130, in _call_impl
return forward_call(*input, **kwargs)
File "/home/work/hy/data_clean/task/Awesome-Backbones-main/configs/common/attention.py", line 803, in forward
attn = ((q @ k.transpose(-2, -1)) * self.scale +
RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu!
from awesome-backbones.
不好意思这段时间太忙了,你调用评估工具时会报错吗?我理解如果批量评估没问题那单张肯定没事。
from awesome-backbones.
批量评估没问题,单张评估不知道为啥会报这个错误。目前是自己写了测试单张图片的脚本,问题已经解决了。
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Related Issues (20)
- 权重大小不匹配 HOT 2
- evaluation 进行模型评估时,数据集从何而来 HOT 2
- 该程序想要在pycharm中运行该怎么使用 HOT 1
- 如果用mvit,t2t_vit,visiontransformer三个算法分别得到三个模型,如何用adaboost将他们集成呢,这是可行的吗
- 调用evaluation脚本时每次准确率结果会有细微的差别 HOT 7
- mobileNet演示就报错TT,请问这个问题怎么解决啊?
- mobileNet演示项目问题? HOT 1
- 主要组成部分 HOT 1
- t2t_vit_19模型主要包含哪些部分 HOT 1
- 作者您好,请教关于mobilenetv3 small的输出维度问题 HOT 1
- Loss损失函数问题 HOT 1
- opencv_python、opencv_contrib_python、opencv-python-headless 的版本用的多少啊,总是说我的版本不匹配 HOT 1
- 1.电脑有两个GPU 0和1,如何改代码使它使用GPU1呀。2.CUDA out of memory这个问题是因为什么呀 HOT 1
- 请问这个报错:AttributeError: 'EfficientFormerClsHead' object has no attribute 'post_process',没有post_process()方法? HOT 6
- 怎么导出.wts HOT 1
- 1
- 怎么改变批量预测的结果字体的大小 HOT 7
- 为什么训练时,精确度能有90%多,但模型评估时,预测结果准确率很低,甚至有时会出现预测结果全为一类(我预测的是二分类) HOT 1
- 后续会加入一些新的模型吗比如squeezenet、xception
- 加入新的主干运行后出现Initialize the weights. Traceback (most recent call last): File "tools/train.py", line 171, in <module> main() File "tools/train.py", line 136, in main max_iters = data_cfg.get('train').get('epoches')*len(train_loader), TypeError: unsupported operand type(s) for *: 'NoneType' and 'int'的问题怎么解决 HOT 1
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