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Issue summary
The below is the function used to run training jobs in multiple GPU.
void Run(const vector& gpus);
But, the above function call don't support passing of the following parameters:
Iteration Per Epoch
Resume file
Minimum epoch
Patience
To overcome the above said issues, we created one more function call "RunMultipleGPU()" which includes all the said parameters.
void RunMultipleGpu(const vector& gpus, std::string Path, int g_IterPerEpoch, const char* resume_file, int iMinEpoch, int iPatience);
But the issue is the following
When we interrupt while training, it is causing crashing. But, when we complete training: NO ISSUES
Steps to reproduce
Tried solutions
System configuration
Operating system: Windows 10
Compiler: C++
CUDA version (if applicable): 8
CUDNN version (if applicable): 7.6.4
BLAS:
Python version (if using pycaffe):
MATLAB version (if using matcaffe):
Issue checklist
[ ] read the guidelines and removed the first paragraph
[ ] written a short summary and detailed steps to reproduce
[ ] explained how solutions to related problems failed (tick if found none)
[ ] filled system configuration
[ ] attached relevant logs/config files (tick if not applicable)
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Please read the guidelines for contributing before submitting this issue!
Please do not post installation, build, usage, or modeling questions, or other requests for help to Issues. Use the caffe-users list instead. This helps developers maintain a clear, uncluttered, and efficient view of the state of Caffe.
Issue summary
The below is the function used to run training jobs in multiple GPU. void Run(const vector& gpus);
But, the above function call don't support passing of the following parameters:
Steps to reproduce
Tried solutions
System configuration
Issue checklist