from ..dataloader import load_batch
from ..dataset_configs import FLYING_CHAIRS_DATASET_CONFIG
from ..training_schedules import LONG_SCHEDULE
from .flownet_css import FlowNetCSS

# Create a new network
net = FlowNetCSS()

# Load a batch of data
input_a, input_b, flow = load_batch(FLYING_CHAIRS_DATASET_CONFIG, 'sample', net.global_step)

# Train on the data
net.train(
    log_dir='./logs/flownet_css',
    training_schedule=LONG_SCHEDULE,
    input_a=input_a,
    input_b=input_b,
    flow=flow,
    # Load trained weights for CS part of network
    checkpoints={
        './checkpoints/FlowNetCS/flownet-CS.ckpt-0': ('FlowNetCSS/FlowNetCS', 'FlowNetCSS')}
)