print("Gap: Flow with Augmentation")

dataset = Images(augment=['rotate=-30,30'])
dataset.load('flowers')
start_mem = psutil.virtual_memory().used

start_time = time.time()

dataset.minibatch = 32
train_generator = dataset.minibatch

print("PRE-TIME", time.time() - start_time)

start_time = time.time()

step = 0
for x_batch, y_batch in train_generator:
    step += 1
    if step > STEPS: break

print("TIME", time.time() - start_time)

curr_mem = psutil.virtual_memory().used
print("Memory Used: %.2f GB" % ((curr_mem - start_mem) / GB))

# Release unused memory
gc.collect()
time.sleep(5)