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When training P-net, the utilization rate of GPU was 0.Train is so slow. #68

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crz1336768325 opened this issue Oct 25, 2018 · 1 comment
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When training P-net, the utilization rate of GPU was 0.Train is so slow. #68

crz1336768325 opened this issue Oct 25, 2018 · 1 comment

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@crz1336768325
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@cayla12
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cayla12 commented Oct 25, 2018

[17:03:21] src/operator/nn/./cudnn/./cudnn_algoreg-inl.h:109: Running performance tests to find the best convolution algorithm, this can take a while... (setting env variable MXNET_CUDNN_AUTOTUNE_DEFAULT to 0 to disable)INFO:root:Epoch[0] Batch [0-200] Speed: 91.87 samples/sec Accuracy=0.616449 LogLoss=0.762187 BBOX_MSE=0.266136
INFO:root:Epoch[0] Batch [200-400] Speed: 101.24 samples/sec Accuracy=0.688269 LogLoss=0.621007 BBOX_MSE=0.086487
INFO:root:Epoch[0] Batch [400-600] Speed: 111.14 samples/sec Accuracy=0.729527 LogLoss=0.566472 BBOX_MSE=0.064344
I have installed mxnet-gpu. Can you tell me where is the mistake？thx

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