TaoLv commented on issue #14545: Optimize transpose operator with MKL-DNN URL: https://github.com/apache/incubator-mxnet/pull/14545#issuecomment-479921467 @pengzhao-intel It mitigates the performance issue of transpose in #14496 but doesn't help #14563. Possibly #14563 is not caused by transpose regression. @apeforest @fhieber @samskalicky ``` (py3env) [lvtao@mlt-skx138 mxnet]$ numactl --physcpubind=0-27 --membind=0 python transpose_perf.py 10 50 100 200 500 mxnet version: 1.3.1 -------------------- size: 10 p50: 0.11 ms p90: 0.11 ms p99: 0.11 ms -------------------- size: 50 p50: 0.06 ms p90: 0.07 ms p99: 0.07 ms -------------------- size: 100 p50: 0.18 ms p90: 0.18 ms p99: 0.19 ms -------------------- size: 200 p50: 2.89 ms p90: 3.86 ms p99: 4.22 ms -------------------- size: 500 p50: 102.48 ms p90: 102.74 ms p99: 102.85 ms mxnet version: 1.4.0 -------------------- size: 10 p50: 0.11 ms p90: 0.12 ms p99: 0.38 ms -------------------- size: 50 p50: 0.09 ms p90: 0.09 ms p99: 0.10 ms -------------------- size: 100 p50: 0.89 ms p90: 0.93 ms p99: 0.95 ms -------------------- size: 200 p50: 5.31 ms p90: 6.03 ms p99: 6.52 ms -------------------- size: 500 p50: 186.42 ms p90: 186.93 ms p99: 187.04 ms (py3env) [lvtao@mlt-skx138 mxnet]$ numactl --physcpubind=0-27 --membind=0 python transpose_perf.py 10 50 100 200 500 mxnet version: 1.5.0 (this PR) -------------------- size: 10 p50: 0.03 ms p90: 0.03 ms p99: 0.03 ms -------------------- size: 50 p50: 0.08 ms p90: 0.08 ms p99: 0.09 ms -------------------- size: 100 p50: 0.19 ms p90: 0.33 ms p99: 0.34 ms -------------------- size: 200 p50: 2.44 ms p90: 3.33 ms p99: 3.50 ms -------------------- size: 500 p50: 95.93 ms p90: 96.31 ms p99: 97.07 ms ```
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