net: "models/Market-1501/ResNet_50/ResNet_50_IDE_train_val.prototxt"

test_iter: 10
test_interval: 1000
test_initialization: false
display: 20
average_loss: 20

base_lr: 0.001
lr_policy: "step"
gamma: 0.1
stepsize: 20000
max_iter: 50000

momentum: 0.9
weight_decay: 0.0005
snapshot: 0
snapshot_prefix: "output/Market-1501_train/ResNet_50_IDE"
solver_mode: GPU
