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fixed darknet, stuff

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This commit is contained in:
Joseph Redmon 2015-12-08 15:12:10 -08:00
parent c2738835f0
commit 892923514f
2 changed files with 11 additions and 4 deletions
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9
cfg/darknet.cfg
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@ -7,10 +7,11 @@ channels=3
momentum=0.9 momentum=0.9
decay=0.0005 decay=0.0005
learning_rate=0.1 learning_rate=0.01
policy=poly policy=sigmoid
power=4 gamma=.00002
max_batches=500000 step=400000
max_batches=800000
[crop] [crop]
crop_height=224 crop_height=224

6
src/convolutional_kernels.cu
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@ -122,6 +122,12 @@ void forward_convolutional_layer_gpu(convolutional_layer l, network_state state)
fast_mean_gpu(l.output_gpu, l.batch, l.n, l.out_h*l.out_w, l.mean_gpu); fast_mean_gpu(l.output_gpu, l.batch, l.n, l.out_h*l.out_w, l.mean_gpu);
fast_variance_gpu(l.output_gpu, l.mean_gpu, l.batch, l.n, l.out_h*l.out_w, l.variance_gpu); fast_variance_gpu(l.output_gpu, l.mean_gpu, l.batch, l.n, l.out_h*l.out_w, l.variance_gpu);
/*
cuda_pull_array(l.variance_gpu, l.mean, 1);
printf("%f\n", l.mean[0]);
*/
scal_ongpu(l.n, .95, l.rolling_mean_gpu, 1); scal_ongpu(l.n, .95, l.rolling_mean_gpu, 1);
axpy_ongpu(l.n, .05, l.mean_gpu, 1, l.rolling_mean_gpu, 1); axpy_ongpu(l.n, .05, l.mean_gpu, 1, l.rolling_mean_gpu, 1);
scal_ongpu(l.n, .95, l.rolling_variance_gpu, 1); scal_ongpu(l.n, .95, l.rolling_variance_gpu, 1);