TaoLv commented on issue #13530: Integrate MKLDNN Conv1d and support 3d layout URL: https://github.com/apache/incubator-mxnet/pull/13530#issuecomment-451357349 @bputrycz Cannot reproduce the problem. The code snippet you provided scales well on my machine: ``` $ OMP_NUM_THREADS=1 python conv1d.py | grep "Convolution\|Activation" Activation 60 183.5660 2.6600 6.1490 3.0594 Convolution 60 1047.5291 14.2060 26.2510 17.4588 $ $ OMP_NUM_THREADS=2 python conv1d.py | grep "Convolution\|Activation" Activation 60 103.8990 1.4330 3.5280 1.7316 Convolution 60 550.4830 7.5440 13.9890 9.1747 $ $ OMP_NUM_THREADS=4 python conv1d.py | grep "Convolution\|Activation" Activation 60 57.5180 0.7640 2.4380 0.9586 Convolution 60 290.6110 3.8830 7.8330 4.8435 $ $ OMP_NUM_THREADS=8 python conv1d.py | grep "Convolution\|Activation" Activation 60 39.8030 0.4470 1.8200 0.6634 Convolution 60 179.9880 2.2860 5.4140 2.9998 ``` Have you ever tried the cpu affinity before run multi-thread case? ``` export KMP_AFFINITY=granularity=fine,compact ```
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