# Modified from https://github.com/Shenyi-Z/TaylorSeer/blob/main/TaylorSeers-xDiT/taylorseer_flux/cache_functions/cache_init.py

# Type hinting would cause circular import, self should be `OmniGen2Pipeline`
def cache_init(self, num_steps: int):
    '''
    Initialization for cache.
    '''
    cache_dic = {}
    cache = {}
    cache_index = {}
    cache[-1]={}
    cache_index[-1]={}
    cache_index['layer_index']={}
    cache[-1]['layers_stream']={}
    cache_dic['cache_counter'] = 0

    for j in range(len(self.transformer.layers)):
        cache[-1]['layers_stream'][j] = {}
        cache_index[-1][j] = {}

    cache_dic['Delta-DiT'] = False
    cache_dic['cache_type'] = 'random'
    cache_dic['cache_index'] = cache_index
    cache_dic['cache'] = cache
    cache_dic['fresh_ratio_schedule'] = 'ToCa' 
    cache_dic['fresh_ratio'] = 0.0
    cache_dic['fresh_threshold'] = 3
    cache_dic['soft_fresh_weight'] = 0.0
    cache_dic['taylor_cache'] = True
    cache_dic['max_order'] = 4
    cache_dic['first_enhance'] = 5

    current = {}
    current['activated_steps'] = [0]
    current['step'] = 0
    current['num_steps'] = num_steps

    return cache_dic, current