config4.prototxt

# directory where output files are saved
workspace: "deephi/alexnetBNnoLRN/pruning"

gpu: "0"

# the number of iterations to run in test phase.
# Max num =validation set / batch_size = 4000 / 50
test_iter: 80

# the accuracy name of the model output you care about
#acc_name: "top-5"
acc_name: "top-1"

model:   "deephi/alexnetBNnoLRN/pruning/train_val.prototxt"

# 4-th run
weights: "deephi/alexnetBNnoLRN/pruning/regular_rate_0.3/snapshots/_iter_12000.caffemodel"

# solver used for fine tuning
solver:  "deephi/alexnetBNnoLRN/pruning/solver.prototxt"

# expected compression ratio: 0.1 means 10%
rate: 0.4 

#compression method used (only REGULAR is available)
pruner { method: REGULAR }