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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2019/07/30 00:58:42 UTC
[GitHub] [incubator-mxnet] zixuanweeei edited a comment on issue #15621:
[WIP] MKL-DNN LBR-GRU Inference Integration (FP32 LBR-GRU)
zixuanweeei edited a comment on issue #15621: [WIP] MKL-DNN LBR-GRU Inference Integration (FP32 LBR-GRU)
URL: https://github.com/apache/incubator-mxnet/pull/15621#issuecomment-516216911
Performance of the latest commit. @ciyongch I have checked the performance again. Their perf are similar, same as we discussed last time.
<table border="0">
<td rowspan=2 height=39 class=xl92 width=60 style='height:29.4pt;width:45pt' align=center>Mode</td>
<td rowspan=2 class=xl92 width=39 style='width:29pt' align=center>Layer</td>
<td rowspan=2 class=xl92 width=61 style='width:46pt' align=center>Direction</td>
<td rowspan=2 class=xl92 width=106 style='width:80pt' align=center>Dims</td>
<td colspan=2 class=xl91 width=241 style='border-left:none;width:181pt' align=center> a26af2b </td>
<td colspan=2 class=xl91 width=241 style='border-left:none;width:181pt' align=center>This PR ( cfc6910 )</td>
<td colspan=2 class=xl90 width=127 style='border-left:none;width:96pt' align=center>Gap</td>
</tr>
<tr>
<td>Throughput (samples/sec)</td>
<td>Latency (ms)</td>
<td>Throughput (samples/sec)</td>
<td>Latency (ms)</td>
<td>Throughput</td>
<td>Latency</td>
</tr>
<tr>
<td>lstm</td>
<td>1</td>
<td>1</td>
<td class=xl75 >630.78</td>
<td class=xl76 >4.82</td>
<td class=xl75 >670.23</td>
<td class=xl76 >4.87</td>
<td class=xl94 >1.06</td>
<td class=xl95 >0.99</td>
</tr>
<tr>
<td height=20 class=xl77 style='height:15.0pt;border-top:none'>lstm</td>
<td class=xl67>1</td>
<td class=xl67>2</td>
<td class=xl68>313.71</td>
<td class=xl69>9.68</td>
<td class=xl68>338.51</td>
<td class=xl69>9.72</td>
<td class=xl96>1.08</td>
<td class=xl95 >1.00</td>
</tr>
<tr>
<td height=20 class=xl77 style='height:15.0pt;border-top:none'>lstm</td>
<td class=xl67>5</td>
<td class=xl67>1</td>
<td class=xl68>139.85</td>
<td class=xl69>23.59</td>
<td class=xl68>138.22</td>
<td class=xl69>23.48</td>
<td class=xl96>0.99</td>
<td class=xl95 >1.00</td>
</tr>
<tr>
<td height=20 class=xl77 style='height:15.0pt;border-top:none'>lstm</td>
<td class=xl67>5</td>
<td class=xl67>2</td>
<td class=xl68>54.63</td>
<td class=xl69>51.19</td>
<td class=xl68>54.27</td>
<td class=xl69>51.28</td>
<td class=xl96>0.99</td>
<td class=xl95 >1.00</td>
</tr>
<tr>
<td height=20 class=xl73 style='height:15.0pt'>rnn_tanh</td>
<td class=xl74 >1</td>
<td class=xl74 >1</td>
<td class=xl75 >1573.45</td>
<td class=xl76 >2.44</td>
<td class=xl75 >1576.23</td>
<td class=xl76 >2.51</td>
<td class=xl94 >1.00</td>
<td class=xl95 >0.97</td>
</tr>
<tr>
<td height=20 class=xl77 style='height:15.0pt;border-top:none'>rnn_tanh</td>
<td class=xl67>1</td>
<td class=xl67>2</td>
<td class=xl68>836.43</td>
<td class=xl69>4.63</td>
<td class=xl68>830.33</td>
<td class=xl69>4.67</td>
<td class=xl96>0.99</td>
<td class=xl95 >0.99</td>
</tr>
<tr>
<td height=20 class=xl77 style='height:15.0pt;border-top:none'>rnn_tanh</td>
<td class=xl67>5</td>
<td class=xl67>1</td>
<td class=xl68>381.32</td>
<td class=xl69>11.44</td>
<td class=xl68>379.88</td>
<td class=xl69>11.50</td>
<td class=xl96>1.00</td>
<td class=xl95 >1.00</td>
</tr>
<tr>
<td height=20 class=xl77 style='height:15.0pt;border-top:none'>rnn_tanh</td>
<td class=xl67>5</td>
<td class=xl67>2</td>
<td class=xl68>159.76</td>
<td class=xl69>24.92</td>
<td class=xl68>149.86</td>
<td class=xl69>24.90</td>
<td class=xl96>0.94</td>
<td class=xl95 >1.00</td>
</tr>
<tr>
<td height=20 class=xl73 style='height:15.0pt'>rnn_relu</td>
<td class=xl74 >1</td>
<td class=xl74 >1</td>
<td class=xl75 >1536.55</td>
<td class=xl76 >2.65</td>
<td class=xl75 >1540.29</td>
<td class=xl76 >2.75</td>
<td class=xl94 >1.00</td>
<td class=xl95 >0.96</td>
</tr>
<tr>
<td height=20 class=xl77 style='height:15.0pt;border-top:none'>rnn_relu</td>
<td class=xl67>1</td>
<td class=xl67>2</td>
<td class=xl68>805.00</td>
<td class=xl69>5.09</td>
<td class=xl68>807.68</td>
<td class=xl69>5.06</td>
<td class=xl96>1.00</td>
<td class=xl95 >1.01</td>
</tr>
<tr>
<td height=20 class=xl77 style='height:15.0pt;border-top:none'>rnn_relu</td>
<td class=xl67>5</td>
<td class=xl67>1</td>
<td class=xl68>373.27</td>
<td class=xl69>12.41</td>
<td class=xl68>377.79</td>
<td class=xl69>12.32</td>
<td class=xl96>1.01</td>
<td class=xl95 >1.01</td>
</tr>
<tr height=19 style='height:14.4pt'>
<td height=19 class=xl77 style='height:14.4pt;border-top:none'>rnn_relu</td>
<td class=xl67>5</td>
<td class=xl67>2</td>
<td class=xl68>154.21</td>
<td class=xl69>26.93</td>
<td class=xl68>153.80</td>
<td class=xl69>26.61</td>
<td class=xl96>1.00</td>
<td class=xl95 >1.01</td>
</tr>
</table>
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