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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2019/05/19 15:23:17 UTC
[GitHub] [incubator-mxnet] zixuanweeei commented on issue #14713:
[WIP]MKLDNN RNN Inference Integration(fp32 LSTM and vRNN with tanh and relu)
zixuanweeei commented on issue #14713: [WIP]MKLDNN RNN Inference Integration(fp32 LSTM and vRNN with tanh and relu)
URL: https://github.com/apache/incubator-mxnet/pull/14713#issuecomment-493766252
I re-evaluated the performance with MKLDNN commit 41bee20d7eb4a67feeeeb8d597b3598994eb1959 on local Skylake-8180 with 1 Sockets and 28 cores. Here is the result.
### Layer=1 bidirectional = False
|API|MKLDNN = 0 (sample/sec)|MKLDNN = 1(sample/sec)|speedup|
|---|-----------------------|----------------------|-------|
|FusedLSTM|289 |682 |2.36x |
|FusedvRNN with tanh|733 |1408 |1.43x |
|FusedvRNN with relu|1074 |1375 |1.28x |
### Layer=5 bidirectional = True
|API|MKLDNN = 0 (sample/sec)|MKLDNN = 1(sample/sec)|speedup|
|---|-----------------------|----------------------|-------|
|FusedLSTM|28 |65 |2.32x |
|FusedvRNN with tanh|70 |149 |2.13x |
|FusedvRNN with relu|94 |147 |1.56x |
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