caffe2 android gpu,Caffe2 Learning Framework and GPU Acceleration | NVIDIA

for BS in 16 32; do python convnet_benchmarks.py --batch_size $BS --model Inception --cudnn_ws 1000 ; done

user@sas03:~/frameworks/caffe2/build/caffe2/python$ for BS in 16 32; do python convnet_benchmarks.py --batch_size $BS --model Inception --cudnn_ws 500 ; done

Inception: running forward-backward.

I0317 00:54:50.650635 13008 net_dag.cc:123] Operator graph pruning prior to chain compute took: 0.000371156 secs

I0317 00:54:50.651175 13008 net_dag.cc:374] Number of parallel execution chains 381 Number of operators = 410

I0317 00:54:50.652022 13008 net_dag.cc:536] Starting benchmark.

I0317 00:54:50.652041 13008 net_dag.cc:537] Running warmup runs.

I0317 00:54:53.824313 13008 net_dag.cc:547] Main runs.

I0317 00:54:55.567314 13008 net_dag.cc:558] Main run finished. Milliseconds per iter: 174.29. Iters per second: 5.73757

Inception: running forward-backward.

I0317 00:54:59.600677 13051 net_dag.cc:123] Operator graph pruning prior to chain compute took: 0.000389294 secs

I0317 00:54:59.601260 13051 net_dag.cc:374] Number of parallel execution chains 381 Number of operators = 410

I0317 00:54:59.602026 13051 net_dag.cc:536] Starting benchmark.

I0317 00:54:59.602046 13051 net_dag.cc:537] Running warmup runs.

I0317 00:55:05.079577 13051 net_dag.cc:547] Main runs.

I0317 00:55:08.394855 13051 net_dag.cc:558] Main run finished. Milliseconds per iter: 331.52. Iters per second: 3.01641