Comments (4)
Hi, current evaluation code is forked from DeepLab v2 and it seems that it is not suitable with cuDNN v5. We are trying to work out the training one with v5 support. Thanks.
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OK, Look forward to it!
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I have update this repository to cudnn v5, however when using cudnn, an error *misalgin address" occured. So now I can only train without cudnn. what a pitty. I wonder whether the error is caused by odd spatial size of feature map.
Check failed: error == cudaSuccess (74 vs. 0) misaligned address
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Hello, I try to modify this repository to cuDNN v5 based on the new Deeplab-v2. I am not sure if it solves this problem as well, but it can be built in my server environment.
Here is my modified code: https://github.com/BassyKuo/PSPNET-cudnn5
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Related Issues (20)
- PASCAL VOC 2012
- Questions about PSPNet. HOT 6
- small size
- Reason to have a fixed inference size (473x473) HOT 1
- 请问下怎么将BVLC/caffe下的bn转换到BN?
- question about pooling layer
- Make Runtest Error HOT 2
- Invalid MEX-file '/media/sgp1053c/DATA/PSPNET-cudnn5/matlab/+caffe/private/caffe_.mexa64
- Make Error
- model performance
- C++ Prediction/Segmentation Code for PSPNet
- Could you provide the prototxt file for training PSPNet?
- [FIXED] Why are scale_factors used to scale pixel values? HOT 1
- Evaluation code
- OSX hdf5 make error HOT 1
- Hi, GPU GTX 1070 8G memory is not enough? HOT 1
- compile using cmake failed! (undefined reference to `pthread_create')
- Problem with evaluation
- math_functions.cu:375 [Check failed: status== CURAND_STATUS_SUCCESS (201 VS. 0) CURAND_STATUS_LAUNCH_FAILURE]
- TBD
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