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Hi, the paper seems interesting as the way you have used zig-zag learning to mitigate the domain shift that can perturb the features of student network.
I was trying to reproduce the results for FL…
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Hi I was training model on my own dataset. I am facing error ValueError: could not broadcast input array from shape (4) into shape (0) and this occurs after iteration 120 . So its probably a problem b…
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hi,
I run benchmark on my cluster with model VGG-11、16、19 in distributed mode(1 ps and 4 worker). The accuracy do not increase.
the optimizer settings are:
optimizer : rmsprop
init_learn…
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At the moment we support only PyTorch to ONNX and TensorFlow to ONNX conversions. We could test and use this [repo](https://github.com/ENOT-AutoDL/onnx2torch) to convert an ONNX model to PyTorch in or…
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Hi,
Thanks for your great work and it helps me a lot for the segmentation tasks. I find that there are so many implemented classic backbone models in your framework.
So may I know how to import the…
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### Describe the issue
When loading any mxnet (as mx in the picture) function, mx.nd.ones or mx.gpu(0) for example, I get a warning about cudnn mismatch after an error in cublas.
This cublas err…
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config文件里面,我设置了参数batch_size = 32,normal_size = 224,然后使用VGG16之后,显存直接溢出了。训练集共3400多张图片,按说不至于吧。
我尝试了使用CPU + 内存运行,我显存8G,内存32G,想看下实际模型占用需要多少内存,结果一个batch之后,内存占用竟然达到31.1G。全部加载完图片大概是10G内存占用,也就是说中间21.1G是模型的。…
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I want to know the range of loss when training, thx
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root@52f54a48a085:/home/simple-faster-rcnn-pytorch# python train.py train --env='fasterrcnn-caffe' --plot-every=100 --caffe-pretrain=False
/home/simple-faster-rcnn-pytorch/model/utils/nms/non_maximum…
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学长,你好,我按照你在github上的步骤一步步进行,demo测试没有问题,但是在训练网络时报错,在网上也搜不到答案,请问下面的问题是数据生成的不对吗?
数据数据时用到的代码内容如下:
![image](https://user-images.githubusercontent.com/28551961/36962643-5738d852-208b-11e8-93d5-5873531fde22…