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Train partial api #5

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@arnoldkalmbach arnoldkalmbach commented Jan 10, 2020 •
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A few issues with this:

  • You still need to pass the data.list format, and if you got it wrong it blows up in cryptic ways.
  • Stuff like learning rate schedulers are still determined by the config file and network state plays into the actual values they get.
  • Each batch is independently randomly sampled. No iterating over shuffled datasets!

.... I'm sure there are more

@arnoldkalmbach arnoldkalmbach changed the title WIP: Train partial api Partial training and evaluation API Jan 11, 2020
@arnoldkalmbach arnoldkalmbach changed the title Partial training and evaluation API Train partial api Jan 11, 2020
arnoldkalmbach
arnoldkalmbach commented Jan 13, 2020
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src/yolo_layer.c
@@ -146,7 +146,6 @@ void forward_yolo_layer(const layer l, network net)
#endif

memset(l.delta, 0, l.outputs * l.batch * sizeof(float));
if(!net.train) return;
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TODO: Revert this change

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