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yajiemiao / eesen

The official repository of the Eesen project
Apache License 2.0
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Cuda memory #12

Open liumengzhu opened 8 years ago

liumengzhu commented 8 years ago

Hi~ Thanks for your help all the time,I had a question again,when I run experiment on my own data,the tr.iter 1.log showed: WARNING (train-ctc-parallel:SelectGpuId():cuda-device.cc:150) Suggestion: use 'nvidia-smi -c 1' to set compute exclusive mode LOG (train-ctc-parallel:SelectGpuIdAuto():cuda-device.cc:262) Selecting from 4 GPUs LOG (train-ctc-parallel:SelectGpuIdAuto():cuda-device.cc:277) cudaSetDevice(0): GeForce GTX 980 free:4000M, used:94M, total:4095M, free/total:0.976835 LOG (train-ctc-parallel:SelectGpuIdAuto():cuda-device.cc:277) cudaSetDevice(1): GeForce GTX 980 free:4000M, used:94M, total:4095M, free/total:0.976835 LOG (train-ctc-parallel:SelectGpuIdAuto():cuda-device.cc:277) cudaSetDevice(2): GeForce GTX 980 free:4000M, used:94M, total:4095M, free/total:0.976835 LOG (train-ctc-parallel:SelectGpuIdAuto():cuda-device.cc:277) cudaSetDevice(3): GeForce GTX 980 free:4000M, used:94M, total:4095M, free/total:0.976834 LOG (train-ctc-parallel:SelectGpuIdAuto():cuda-device.cc:310) Selected device: 0 (automatically) LOG (train-ctc-parallel:FinalizeActiveGpu():cuda-device.cc:194) The active GPU is [0]: GeForce GTX 980 free:3984M, used:110M, total:4095M, free/total:0.972929 version 5.2 LOG (train-ctc-parallel:PrintMemoryUsage():cuda-device.cc:334) Memory used: 0 bytes. LOG (train-ctc-parallel:DisableCaching():cuda-device.cc:731) Disabling caching of GPU memory. How can i solve the problem？

yajiemiao commented 8 years ago

there is no problem with it, this is normal did you see problems with the subsequent training?

liumengzhu commented 8 years ago

I have solved the problem,Thanks