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import os | |
import os.path as osp | |
import shutil | |
import copy | |
import time | |
import pprint | |
import numpy as np | |
import torch | |
import matplotlib | |
import argparse | |
import json | |
import yaml | |
from easydict import EasyDict as edict | |
from .model_zoo import get_model | |
############ | |
# cfg_bank # | |
############ | |
def cfg_solvef(cmd, root): | |
if not isinstance(cmd, str): | |
return cmd | |
if cmd.find('SAME')==0: | |
zoom = root | |
p = cmd[len('SAME'):].strip('()').split('.') | |
p = [pi.strip() for pi in p] | |
for pi in p: | |
try: | |
pi = int(pi) | |
except: | |
pass | |
try: | |
zoom = zoom[pi] | |
except: | |
return cmd | |
return cfg_solvef(zoom, root) | |
if cmd.find('SEARCH')==0: | |
zoom = root | |
p = cmd[len('SEARCH'):].strip('()').split('.') | |
p = [pi.strip() for pi in p] | |
find = True | |
# Depth first search | |
for pi in p: | |
try: | |
pi = int(pi) | |
except: | |
pass | |
try: | |
zoom = zoom[pi] | |
except: | |
find = False | |
break | |
if find: | |
return cfg_solvef(zoom, root) | |
else: | |
if isinstance(root, dict): | |
for ri in root: | |
rv = cfg_solvef(cmd, root[ri]) | |
if rv != cmd: | |
return rv | |
if isinstance(root, list): | |
for ri in root: | |
rv = cfg_solvef(cmd, ri) | |
if rv != cmd: | |
return rv | |
return cmd | |
if cmd.find('MODEL')==0: | |
goto = cmd[len('MODEL'):].strip('()') | |
return model_cfg_bank()(goto) | |
if cmd.find('DATASET')==0: | |
goto = cmd[len('DATASET'):].strip('()') | |
return dataset_cfg_bank()(goto) | |
return cmd | |
def cfg_solve(cfg, cfg_root): | |
# The function solve cfg element such that | |
# all sorrogate input are settled. | |
# (i.e. SAME(***) ) | |
if isinstance(cfg, list): | |
for i in range(len(cfg)): | |
if isinstance(cfg[i], (list, dict)): | |
cfg[i] = cfg_solve(cfg[i], cfg_root) | |
else: | |
cfg[i] = cfg_solvef(cfg[i], cfg_root) | |
if isinstance(cfg, dict): | |
for k in cfg: | |
if isinstance(cfg[k], (list, dict)): | |
cfg[k] = cfg_solve(cfg[k], cfg_root) | |
else: | |
cfg[k] = cfg_solvef(cfg[k], cfg_root) | |
return cfg | |
class model_cfg_bank(object): | |
def __init__(self): | |
self.cfg_dir = osp.join('configs', 'model') | |
self.cfg_bank = edict() | |
def __call__(self, name): | |
if name not in self.cfg_bank: | |
cfg_path = self.get_yaml_path(name) | |
with open(cfg_path, 'r') as f: | |
cfg_new = yaml.load( | |
f, Loader=yaml.FullLoader) | |
cfg_new = edict(cfg_new) | |
self.cfg_bank.update(cfg_new) | |
cfg = self.cfg_bank[name] | |
cfg.name = name | |
if 'super_cfg' not in cfg: | |
cfg = cfg_solve(cfg, cfg) | |
self.cfg_bank[name] = cfg | |
return copy.deepcopy(cfg) | |
super_cfg = self.__call__(cfg.super_cfg) | |
# unlike other field, | |
# args will not be replaced but update. | |
if 'args' in cfg: | |
if 'args' in super_cfg: | |
super_cfg.args.update(cfg.args) | |
else: | |
super_cfg.args = cfg.args | |
cfg.pop('args') | |
super_cfg.update(cfg) | |
super_cfg.pop('super_cfg') | |
cfg = super_cfg | |
try: | |
delete_args = cfg.pop('delete_args') | |
except: | |
delete_args = [] | |
for dargs in delete_args: | |
cfg.args.pop(dargs) | |
cfg = cfg_solve(cfg, cfg) | |
self.cfg_bank[name] = cfg | |
return copy.deepcopy(cfg) | |
def get_yaml_path(self, name): | |
if name.find('openai_unet')==0: | |
return osp.join( | |
self.cfg_dir, 'openai_unet.yaml') | |
elif name.find('clip')==0: | |
return osp.join( | |
self.cfg_dir, 'clip.yaml') | |
elif name.find('autokl')==0: | |
return osp.join( | |
self.cfg_dir, 'autokl.yaml') | |
elif name.find('controlnet')==0: | |
return osp.join( | |
self.cfg_dir, 'controlnet.yaml') | |
elif name.find('swin')==0: | |
return osp.join( | |
self.cfg_dir, 'swin.yaml') | |
elif name.find('pfd')==0: | |
return osp.join( | |
self.cfg_dir, 'pfd.yaml') | |
elif name.find('seecoder')==0: | |
return osp.join( | |
self.cfg_dir, 'seecoder.yaml') | |
else: | |
raise ValueError | |
class dataset_cfg_bank(object): | |
def __init__(self): | |
self.cfg_dir = osp.join('configs', 'dataset') | |
self.cfg_bank = edict() | |
def __call__(self, name): | |
if name not in self.cfg_bank: | |
cfg_path = self.get_yaml_path(name) | |
with open(cfg_path, 'r') as f: | |
cfg_new = yaml.load( | |
f, Loader=yaml.FullLoader) | |
cfg_new = edict(cfg_new) | |
self.cfg_bank.update(cfg_new) | |
cfg = self.cfg_bank[name] | |
cfg.name = name | |
if cfg.get('super_cfg', None) is None: | |
cfg = cfg_solve(cfg, cfg) | |
self.cfg_bank[name] = cfg | |
return copy.deepcopy(cfg) | |
super_cfg = self.__call__(cfg.super_cfg) | |
super_cfg.update(cfg) | |
cfg = super_cfg | |
cfg.super_cfg = None | |
try: | |
delete = cfg.pop('delete') | |
except: | |
delete = [] | |
for dargs in delete: | |
cfg.pop(dargs) | |
cfg = cfg_solve(cfg, cfg) | |
self.cfg_bank[name] = cfg | |
return copy.deepcopy(cfg) | |
def get_yaml_path(self, name): | |
if name.find('cityscapes')==0: | |
return osp.join( | |
self.cfg_dir, 'cityscapes.yaml') | |
elif name.find('div2k')==0: | |
return osp.join( | |
self.cfg_dir, 'div2k.yaml') | |
elif name.find('gandiv2k')==0: | |
return osp.join( | |
self.cfg_dir, 'gandiv2k.yaml') | |
elif name.find('srbenchmark')==0: | |
return osp.join( | |
self.cfg_dir, 'srbenchmark.yaml') | |
elif name.find('imagedir')==0: | |
return osp.join( | |
self.cfg_dir, 'imagedir.yaml') | |
elif name.find('places2')==0: | |
return osp.join( | |
self.cfg_dir, 'places2.yaml') | |
elif name.find('ffhq')==0: | |
return osp.join( | |
self.cfg_dir, 'ffhq.yaml') | |
elif name.find('imcpt')==0: | |
return osp.join( | |
self.cfg_dir, 'imcpt.yaml') | |
elif name.find('texture')==0: | |
return osp.join( | |
self.cfg_dir, 'texture.yaml') | |
elif name.find('openimages')==0: | |
return osp.join( | |
self.cfg_dir, 'openimages.yaml') | |
elif name.find('laion2b')==0: | |
return osp.join( | |
self.cfg_dir, 'laion2b.yaml') | |
elif name.find('laionart')==0: | |
return osp.join( | |
self.cfg_dir, 'laionart.yaml') | |
elif name.find('celeba')==0: | |
return osp.join( | |
self.cfg_dir, 'celeba.yaml') | |
elif name.find('coyo')==0: | |
return osp.join( | |
self.cfg_dir, 'coyo.yaml') | |
elif name.find('pafc')==0: | |
return osp.join( | |
self.cfg_dir, 'pafc.yaml') | |
elif name.find('coco')==0: | |
return osp.join( | |
self.cfg_dir, 'coco.yaml') | |
elif name.find('genai')==0: | |
return osp.join( | |
self.cfg_dir, 'genai.yaml') | |
else: | |
raise ValueError | |
class experiment_cfg_bank(object): | |
def __init__(self): | |
self.cfg_dir = osp.join('configs', 'experiment') | |
self.cfg_bank = edict() | |
def __call__(self, name): | |
if name not in self.cfg_bank: | |
cfg_path = self.get_yaml_path(name) | |
with open(cfg_path, 'r') as f: | |
cfg = yaml.load( | |
f, Loader=yaml.FullLoader) | |
cfg = edict(cfg) | |
cfg = cfg_solve(cfg, cfg) | |
cfg = cfg_solve(cfg, cfg) | |
# twice for SEARCH | |
self.cfg_bank[name] = cfg | |
return copy.deepcopy(cfg) | |
def get_yaml_path(self, name): | |
return osp.join( | |
self.cfg_dir, name+'.yaml') | |
def load_cfg_yaml(path): | |
if osp.isfile(path): | |
cfg_path = path | |
elif osp.isfile(osp.join('configs', 'experiment', path)): | |
cfg_path = osp.join('configs', 'experiment', path) | |
elif osp.isfile(osp.join('configs', 'experiment', path+'.yaml')): | |
cfg_path = osp.join('configs', 'experiment', path+'.yaml') | |
else: | |
assert False, 'No such config!' | |
with open(cfg_path, 'r') as f: | |
cfg = yaml.load(f, Loader=yaml.FullLoader) | |
cfg = edict(cfg) | |
cfg = cfg_solve(cfg, cfg) | |
cfg = cfg_solve(cfg, cfg) | |
return cfg | |
############## | |
# cfg_helper # | |
############## | |
def get_experiment_id(ref=None): | |
if ref is None: | |
time.sleep(0.5) | |
return int(time.time()*100) | |
else: | |
try: | |
return int(ref) | |
except: | |
pass | |
_, ref = osp.split(ref) | |
ref = ref.split('_')[0] | |
try: | |
return int(ref) | |
except: | |
assert False, 'Invalid experiment ID!' | |
def record_resume_cfg(path): | |
cnt = 0 | |
while True: | |
if osp.exists(path+'.{:04d}'.format(cnt)): | |
cnt += 1 | |
continue | |
shutil.copyfile(path, path+'.{:04d}'.format(cnt)) | |
break | |
def get_command_line_args(): | |
parser = argparse.ArgumentParser() | |
parser.add_argument('--debug', action='store_true', default=False) | |
parser.add_argument('--config', type=str) | |
parser.add_argument('--gpu', nargs='+', type=int) | |
parser.add_argument('--node_rank', type=int) | |
parser.add_argument('--node_list', nargs='+', type=str) | |
parser.add_argument('--nodes', type=int) | |
parser.add_argument('--addr', type=str, default='127.0.0.1') | |
parser.add_argument('--port', type=int, default=11233) | |
parser.add_argument('--signature', nargs='+', type=str) | |
parser.add_argument('--seed', type=int) | |
parser.add_argument('--eval', type=str) | |
parser.add_argument('--eval_subdir', type=str) | |
parser.add_argument('--pretrained', type=str) | |
parser.add_argument('--resume_dir', type=str) | |
parser.add_argument('--resume_step', type=int) | |
parser.add_argument('--resume_weight', type=str) | |
args = parser.parse_args() | |
# Special handling the resume | |
if args.resume_dir is not None: | |
cfg = edict() | |
cfg.env = edict() | |
cfg.env.debug = args.debug | |
cfg.env.resume = edict() | |
cfg.env.resume.dir = args.resume_dir | |
cfg.env.resume.step = args.resume_step | |
cfg.env.resume.weight = args.resume_weight | |
return cfg | |
cfg = load_cfg_yaml(args.config) | |
cfg.env.debug = args.debug | |
cfg.env.gpu_device = [0] if args.gpu is None else list(args.gpu) | |
cfg.env.master_addr = args.addr | |
cfg.env.master_port = args.port | |
cfg.env.dist_url = 'tcp://{}:{}'.format(args.addr, args.port) | |
if args.node_list is None: | |
cfg.env.node_rank = 0 if args.node_rank is None else args.node_rank | |
cfg.env.nodes = 1 if args.nodes is None else args.nodes | |
else: | |
import socket | |
hostname = socket.gethostname() | |
assert cfg.env.master_addr == args.node_list[0] | |
cfg.env.node_rank = args.node_list.index(hostname) | |
cfg.env.nodes = len(args.node_list) | |
cfg.env.node_list = args.node_list | |
istrain = False if args.eval is not None else True | |
isdebug = cfg.env.debug | |
if istrain: | |
if isdebug: | |
cfg.env.experiment_id = 999999999999 | |
cfg.train.signature = ['debug'] | |
else: | |
cfg.env.experiment_id = get_experiment_id() | |
if args.signature is not None: | |
cfg.train.signature = args.signature | |
else: | |
if 'train' in cfg: | |
cfg.pop('train') | |
cfg.env.experiment_id = get_experiment_id(args.eval) | |
if args.signature is not None: | |
cfg.eval.signature = args.signature | |
if isdebug and (args.eval is None): | |
cfg.env.experiment_id = 999999999999 | |
cfg.eval.signature = ['debug'] | |
if args.eval_subdir is not None: | |
if isdebug: | |
cfg.eval.eval_subdir = 'debug' | |
else: | |
cfg.eval.eval_subdir = args.eval_subdir | |
if args.pretrained is not None: | |
cfg.eval.pretrained = args.pretrained | |
# The override pretrained over the setting in cfg.model | |
if args.seed is not None: | |
cfg.env.rnd_seed = args.seed | |
return cfg | |
def cfg_initiates(cfg): | |
cfge = cfg.env | |
isdebug = cfge.debug | |
isresume = 'resume' in cfge | |
istrain = 'train' in cfg | |
haseval = 'eval' in cfg | |
cfgt = cfg.train if istrain else None | |
cfgv = cfg.eval if haseval else None | |
############################### | |
# get some environment params # | |
############################### | |
cfge.computer = os.uname() | |
cfge.torch_version = str(torch.__version__) | |
########## | |
# resume # | |
########## | |
if isresume: | |
resume_cfg_path = osp.join(cfge.resume.dir, 'config.yaml') | |
record_resume_cfg(resume_cfg_path) | |
with open(resume_cfg_path, 'r') as f: | |
cfg_resume = yaml.load(f, Loader=yaml.FullLoader) | |
cfg_resume = edict(cfg_resume) | |
cfg_resume.env.update(cfge) | |
cfg = cfg_resume | |
cfge = cfg.env | |
log_file = cfg.train.log_file | |
print('') | |
print('##########') | |
print('# resume #') | |
print('##########') | |
print('') | |
with open(log_file, 'a') as f: | |
print('', file=f) | |
print('##########', file=f) | |
print('# resume #', file=f) | |
print('##########', file=f) | |
print('', file=f) | |
pprint.pprint(cfg) | |
with open(log_file, 'a') as f: | |
pprint.pprint(cfg, f) | |
#################### | |
# node distributed # | |
#################### | |
if cfg.env.master_addr!='127.0.0.1': | |
os.environ['MASTER_ADDR'] = cfge.master_addr | |
os.environ['MASTER_PORT'] = '{}'.format(cfge.master_port) | |
if cfg.env.dist_backend=='nccl': | |
os.environ['NCCL_SOCKET_FAMILY'] = 'AF_INET' | |
if cfg.env.dist_backend=='gloo': | |
os.environ['GLOO_SOCKET_FAMILY'] = 'AF_INET' | |
####################### | |
# cuda visible device # | |
####################### | |
os.environ["CUDA_VISIBLE_DEVICES"] = ','.join( | |
[str(gid) for gid in cfge.gpu_device]) | |
##################### | |
# return resume cfg # | |
##################### | |
if isresume: | |
return cfg | |
############################################# | |
# some misc setting that not need in resume # | |
############################################# | |
cfgm = cfg.model | |
cfge.gpu_count = len(cfge.gpu_device) | |
########################################## | |
# align batch size and num worker config # | |
########################################## | |
gpu_n = cfge.gpu_count * cfge.nodes | |
def align_batch_size(bs, bs_per_gpu): | |
assert (bs is not None) or (bs_per_gpu is not None) | |
bs = bs_per_gpu * gpu_n if bs is None else bs | |
bs_per_gpu = bs // gpu_n if bs_per_gpu is None else bs_per_gpu | |
assert (bs == bs_per_gpu * gpu_n) | |
return bs, bs_per_gpu | |
if istrain: | |
cfgt.batch_size, cfgt.batch_size_per_gpu = \ | |
align_batch_size(cfgt.batch_size, cfgt.batch_size_per_gpu) | |
cfgt.dataset_num_workers, cfgt.dataset_num_workers_per_gpu = \ | |
align_batch_size(cfgt.dataset_num_workers, cfgt.dataset_num_workers_per_gpu) | |
if haseval: | |
cfgv.batch_size, cfgv.batch_size_per_gpu = \ | |
align_batch_size(cfgv.batch_size, cfgv.batch_size_per_gpu) | |
cfgv.dataset_num_workers, cfgv.dataset_num_workers_per_gpu = \ | |
align_batch_size(cfgv.dataset_num_workers, cfgv.dataset_num_workers_per_gpu) | |
################## | |
# create log dir # | |
################## | |
if istrain: | |
if not isdebug: | |
sig = cfgt.get('signature', []) | |
sig = sig + ['s{}'.format(cfge.rnd_seed)] | |
else: | |
sig = ['debug'] | |
log_dir = [ | |
cfge.log_root_dir, | |
'{}_{}'.format(cfgm.symbol, cfgt.dataset.symbol), | |
'_'.join([str(cfge.experiment_id)] + sig) | |
] | |
log_dir = osp.join(*log_dir) | |
log_file = osp.join(log_dir, 'train.log') | |
if not osp.exists(log_file): | |
os.makedirs(osp.dirname(log_file)) | |
cfgt.log_dir = log_dir | |
cfgt.log_file = log_file | |
if haseval: | |
cfgv.log_dir = log_dir | |
cfgv.log_file = log_file | |
else: | |
model_symbol = cfgm.symbol | |
if cfgv.get('dataset', None) is None: | |
dataset_symbol = 'nodataset' | |
else: | |
dataset_symbol = cfgv.dataset.symbol | |
log_dir = osp.join(cfge.log_root_dir, '{}_{}'.format(model_symbol, dataset_symbol)) | |
exp_dir = search_experiment_folder(log_dir, cfge.experiment_id) | |
if exp_dir is None: | |
if not isdebug: | |
sig = cfgv.get('signature', []) + ['evalonly'] | |
else: | |
sig = ['debug'] | |
exp_dir = '_'.join([str(cfge.experiment_id)] + sig) | |
eval_subdir = cfgv.get('eval_subdir', None) | |
# override subdir in debug mode (if eval_subdir is set) | |
eval_subdir = 'debug' if (eval_subdir is not None) and isdebug else eval_subdir | |
if eval_subdir is not None: | |
log_dir = osp.join(log_dir, exp_dir, eval_subdir) | |
else: | |
log_dir = osp.join(log_dir, exp_dir) | |
disable_log_override = cfgv.get('disable_log_override', False) | |
if osp.isdir(log_dir): | |
if disable_log_override: | |
assert False, 'Override an exsited log_dir is disabled at [{}]'.format(log_dir) | |
else: | |
os.makedirs(log_dir) | |
log_file = osp.join(log_dir, 'eval.log') | |
cfgv.log_dir = log_dir | |
cfgv.log_file = log_file | |
###################### | |
# print and save cfg # | |
###################### | |
pprint.pprint(cfg) | |
if cfge.node_rank==0: | |
with open(log_file, 'w') as f: | |
pprint.pprint(cfg, f) | |
with open(osp.join(log_dir, 'config.yaml'), 'w') as f: | |
yaml.dump(edict_2_dict(cfg), f) | |
else: | |
with open(osp.join(log_dir, 'config.yaml.{}'.format(cfge.node_rank)), 'w') as f: | |
yaml.dump(edict_2_dict(cfg), f) | |
############# | |
# save code # | |
############# | |
save_code = False | |
if istrain: | |
save_code = cfgt.get('save_code', False) | |
elif haseval: | |
save_code = cfgv.get('save_code', False) | |
save_code = save_code and (cfge.node_rank==0) | |
if save_code: | |
codedir = osp.join(log_dir, 'code') | |
if osp.exists(codedir): | |
shutil.rmtree(codedir) | |
for d in ['configs', 'lib']: | |
fromcodedir = d | |
tocodedir = osp.join(codedir, d) | |
shutil.copytree( | |
fromcodedir, tocodedir, | |
ignore=shutil.ignore_patterns( | |
'*__pycache__*', '*build*')) | |
for codei in os.listdir('.'): | |
if osp.splitext(codei)[1] == 'py': | |
shutil.copy(codei, codedir) | |
####################### | |
# set matplotlib mode # | |
####################### | |
if 'matplotlib_mode' in cfge: | |
try: | |
matplotlib.use(cfge.matplotlib_mode) | |
except: | |
print('Warning: matplotlib mode [{}] failed to be set!'.format(cfge.matplotlib_mode)) | |
return cfg | |
def edict_2_dict(x): | |
if isinstance(x, dict): | |
xnew = {} | |
for k in x: | |
xnew[k] = edict_2_dict(x[k]) | |
return xnew | |
elif isinstance(x, list): | |
xnew = [] | |
for i in range(len(x)): | |
xnew.append( edict_2_dict(x[i]) ) | |
return xnew | |
else: | |
return x | |
def search_experiment_folder(root, exid): | |
target = None | |
for fi in os.listdir(root): | |
if not osp.isdir(osp.join(root, fi)): | |
continue | |
if int(fi.split('_')[0]) == exid: | |
if target is not None: | |
return None # duplicated | |
elif target is None: | |
target = fi | |
return target | |