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${ noResults }
5 Commits (0bb5cc0ee959bdc2ff439a149343bc1a53998f31)
| Author | SHA1 | Message | Date |
|---|---|---|---|
Xu Jun
|
3c7cad69f2 |
dnn_backend_native_layer_conv2d.c:Add mutithread function
Use pthread to multithread dnn_execute_layer_conv2d. Can be tested with command "./ffmpeg_g -i input.png -vf \ format=yuvj420p,dnn_processing=dnn_backend=native:model= \ espcn.model:input=x:output=y:options=conv2d_threads=23 \ -y sr_native.jpg -benchmark" before patch: utime=11.238s stime=0.005s rtime=11.248s after patch: utime=20.817s stime=0.047s rtime=1.051s on my 3900X 12c24t @4.2GHz About the increase of utime, it's because that CPU HyperThreading technology makes logical cores twice of physical cores while cpu's counting performance improves less than double. And utime sums all cpu's logical cores' runtime. As a result, using threads num near cpu's logical core's number will double utime, while reduce rtime less than half for HyperThreading CPUs. Signed-off-by: Xu Jun <xujunzz@sjtu.edu.cn> Signed-off-by: Guo, Yejun <yejun.guo@intel.com> |
5 years ago |
Ting Fu
|
c8ba0daf8d |
dnn/native: add log error message
Signed-off-by: Ting Fu <ting.fu@intel.com> |
5 years ago |
Guo, Yejun
|
dff39ea9f0 |
dnn: add tf.nn.conv2d support for native model
Unlike other tf.*.conv2d layers, tf.nn.conv2d does not create many nodes (within a scope) in the graph, it just acts like other layers. tf.nn.conv2d only creates one node in the graph, and no internal nodes such as 'kernel' are created. The format of native model file is also changed, a flag named has_bias is added, so change the version number. Signed-off-by: Guo, Yejun <yejun.guo@intel.com> Signed-off-by: Pedro Arthur <bygrandao@gmail.com> |
5 years ago |
|
Guo, Yejun
|
3fd5ac7e92 |
avfilter/dnn: unify the layer execution function in native mode
Signed-off-by: Guo, Yejun <yejun.guo@intel.com> Signed-off-by: Pedro Arthur <bygrandao@gmail.com> |
5 years ago |
|
Guo, Yejun
|
24f507301b |
FATE/dnn: add unit test for dnn conv2d layer
'make fate-dnn-layer-conv2d' to run the test Signed-off-by: Guo, Yejun <yejun.guo@intel.com> Signed-off-by: Pedro Arthur <bygrandao@gmail.com> |
6 years ago |