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Commit ab1575da authored by Davis King's avatar Davis King
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more cleanup

parent b87ecad5
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Showing with 2 additions and 4 deletions
examples/dnn_metric_learning_on_images_ex.cpp
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...@@ -161,11 +161,9 @@ template <typename SUBNET> using alevel2 = ares<256,ares<256,ares<256,ares<256,a ...@@ -161,11 +161,9 @@ template <typename SUBNET> using alevel2 = ares<256,ares<256,ares<256,ares<256,a
template <typename SUBNET> using alevel3 = ares<128,ares<128,ares<128,ares_down<128,SUBNET>>>>; template <typename SUBNET> using alevel3 = ares<128,ares<128,ares<128,ares_down<128,SUBNET>>>>;
template <typename SUBNET> using alevel4 = ares<64,ares<64,ares<64,SUBNET>>>; template <typename SUBNET> using alevel4 = ares<64,ares<64,ares<64,SUBNET>>>;
template <typename SUBNET> using final_pooling = avg_pool_everything<SUBNET>;
template <typename SUBNET> using afinal_pooling = avg_pool_everything<SUBNET>;
// training network type // training network type
using net_type = loss_metric<fc_no_bias<128,final_pooling< using net_type = loss_metric<fc_no_bias<128,avg_pool_everything<
level1< level1<
level2< level2<
level3< level3<
...@@ -175,7 +173,7 @@ using net_type = loss_metric<fc_no_bias<128,final_pooling< ...@@ -175,7 +173,7 @@ using net_type = loss_metric<fc_no_bias<128,final_pooling<
>>>>>>>>>>>; >>>>>>>>>>>;
// testing network type (replaced batch normalization with fixed affine transforms) // testing network type (replaced batch normalization with fixed affine transforms)
using anet_type = loss_metric<fc_no_bias<128,afinal_pooling< using anet_type = loss_metric<fc_no_bias<128,avg_pool_everything<
alevel1< alevel1<
alevel2< alevel2<
alevel3< alevel3<
......
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