# The train/test net protocol buffer definition
net: "./train.prototxt"
# test_iter specifies how many forward passes the test should carry out.
# In our case, 311*64=19904 is above the total number of validation images on CelebA (19867)
test_iter: 311
# Carry out testing every 1000 training iterations (same as display).
test_interval: 1000
# The base learning rate, momentum and the weight decay of the network.
base_lr: 1e-05
momentum: 0.0
weight_decay: 1e-05
# The learning rate policy
lr_policy: "inv"
gamma: 0.0001
power: 0.75
# Display every 1000 iterations
display: 1000
# The maximum number of iterations
max_iter: 100000
# snapshot intermediate results
snapshot: 5000
snapshot_prefix: "./train_snapshots"
# solver mode: CPU or GPU
solver_mode: GPU
type: "RMSProp"
rms_decay: 0.98