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i used the same solver.prototxt i used in the first training phase, except for changing base_lr from 0.001 to 0.0001 (lr_policy: "fixed").
I get the following error : I0519 19:16:09.539479 23277 caffe.cpp:209] Resuming from ../../nets-weights/net1-data02_160x064/net__iter_17000.caffemodel F0519 19:16:09.551967 23277 sgd_solver.cpp:316] Check failed: state.history_size() == history_.size() (0 vs. 14) Incorrect length of history blobs.
my suspect is that caffe can't find the ".solverstate" file, although it's there right next to the ".caffemodel" snapshot file.
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i run a training for about 40k iterations.
than i stopped it and tried to train again (with lower lr) from snapshot of iteration 17k.
command :
$CAFFE_ROOT/build/tools/caffe train --solver ../../nets/net1/solver.prototxt --snapshot ../../nets-weights/net1/net__iter_17000.caffemodel
i used the same solver.prototxt i used in the first training phase, except for changing base_lr from 0.001 to 0.0001 (lr_policy: "fixed").
I get the following error :
I0519 19:16:09.539479 23277 caffe.cpp:209] Resuming from ../../nets-weights/net1-data02_160x064/net__iter_17000.caffemodel F0519 19:16:09.551967 23277 sgd_solver.cpp:316] Check failed: state.history_size() == history_.size() (0 vs. 14) Incorrect length of history blobs.
my suspect is that caffe can't find the ".solverstate" file, although it's there right next to the ".caffemodel" snapshot file.
The text was updated successfully, but these errors were encountered: