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| author | Yangqing Jia <jiayq84@gmail.com> | 2013-10-10 21:48:40 -0700 |
|---|---|---|
| committer | Yangqing Jia <jiayq84@gmail.com> | 2013-10-10 21:48:40 -0700 |
| commit | 0b9b73214b174e34d8f81df22832bd857fee167b (patch) | |
| tree | 73013f8b521261bc78399c11fd762e0a2176e737 /src | |
| parent | 6ecaa904e5ffcbf64f50eafd13326af6faf2a1b1 (diff) | |
| download | caffeonacl-0b9b73214b174e34d8f81df22832bd857fee167b.tar.gz caffeonacl-0b9b73214b174e34d8f81df22832bd857fee167b.tar.bz2 caffeonacl-0b9b73214b174e34d8f81df22832bd857fee167b.zip | |
snapshot. prepare to debug
Diffstat (limited to 'src')
| -rw-r--r-- | src/caffe/optimization/solver.cpp | 3 | ||||
| -rw-r--r-- | src/programs/imagenet.prototxt | 2 | ||||
| -rw-r--r-- | src/programs/imagenet_solver.prototxt | 6 |
3 files changed, 7 insertions, 4 deletions
diff --git a/src/caffe/optimization/solver.cpp b/src/caffe/optimization/solver.cpp index d9ab2c1b..fb382374 100644 --- a/src/caffe/optimization/solver.cpp +++ b/src/caffe/optimization/solver.cpp @@ -114,6 +114,9 @@ void SGDSolver<Dtype>::ComputeUpdateValue() { vector<shared_ptr<Blob<Dtype> > >& net_params = this->net_->params(); // get the learning rate Dtype rate = GetLearningRate(); + if (this->param_.display() && this->iter_ % this->param_.display() == 0) { + LOG(ERROR) << "Iteration " << this->iter_ << ", lr = " << rate; + } Dtype momentum = this->param_.momentum(); Dtype weight_decay = this->param_.weight_decay(); // LOG(ERROR) << "rate:" << rate << " momentum:" << momentum diff --git a/src/programs/imagenet.prototxt b/src/programs/imagenet.prototxt index 65b7432c..d5e9b921 100644 --- a/src/programs/imagenet.prototxt +++ b/src/programs/imagenet.prototxt @@ -7,7 +7,7 @@ layers { batchsize: 96 subtraction: 114 cropsize: 227 - mirror: true + mirror: false } top: "data" top: "label" diff --git a/src/programs/imagenet_solver.prototxt b/src/programs/imagenet_solver.prototxt index 58b0dfef..6e583638 100644 --- a/src/programs/imagenet_solver.prototxt +++ b/src/programs/imagenet_solver.prototxt @@ -1,10 +1,10 @@ -base_lr: 0.02 +base_lr: 0.01 lr_policy: "step" gamma: 0.1 stepsize: 340000 -display: 100 +display: 20 max_iter: 1200000 momentum: 0.9 weight_decay: 0.0005 -snapshot: 15000 +snapshot: 5000 snapshot_prefix: "alexnet_train"
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