text
stringlengths
1
93.6k
zp_builder = ContentPredictorBuilder(config)
sess_config = tf.ConfigProto(allow_soft_placement=True)
sess_config.gpu_options.allow_growth = True
with tf.Session(config=sess_config) as sess:
# Build TF records
if args.test:
# Workaround, not used in testing
real_images = tf.zeros([
0,
config["data_params"]["full_image_size"][0],
config["data_params"]["full_image_size"][1],
config["data_params"]["c_dim"],
], tf.float32)
else:
real_images = DataLoader(config).build()
# Create controllers
trainer = Trainer(sess, config, real_images,
g_builder, d_builder, cp_builder, zp_builder,
coord_handler, patch_handler)
evaluator = Evaluator(sess, config)
logger = Logger(sess, config, patch_handler)
# Build graphs
if args.test:
print(" [Build] Constructing training graph...")
trainer.build_graph(test_mode=True)
print(" [Build] Constructing logging graph...")
logger.build_graph(trainer, test_mode=True)
else:
print(" [Build] Constructing training graph...")
trainer.build_graph()
print(" [Build] Constructing evaluation graph...")
evaluator.build_graph()
print(" [Build] Constructing logging graph...")
logger.build_graph(trainer)
# Initialize all variables
sess.run(tf.local_variables_initializer())
sess.run(tf.global_variables_initializer())
threads = tf.train.start_queue_runners(coord=tf.train.Coordinator())
# Load checkpoint
global_step = logger.load_ckpt()
# Start training
if args.test:
trainer.test(args.n_samples, args.test_output_dir)
else:
trainer.train(logger, evaluator, global_step)
# <FILESEP>
import asyncio
import json
import logging
import os.path
import signal
import sys
import time
from optparse import OptionParser
from threading import Thread
sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
import tornado.ioloop
import tornado.web
from server.task.clear_nonce_task import ClearNonceTask
from server.task.check_cookie_task import CheckCookieTask
from common.logger_factory import LoggerFactory
from constant.system_constant import SystemConstant
from context.context_utils import ContextUtils
from entity.server_config_entity import ServerConfigEntity
from server.admin_http_handler import AdminHtmlHandler, AdminHttpApiHandler, ShowVariableHandler
from server.task.heart_beat_task import HeartBeatTask
from server.tcp_forward_client import TcpForwardClient
from server.websocket_handler import MyWebSocketaHandler
tornado.ioloop.IOLoop.configure(tornado.ioloop.IOLoop.configured_class(), time_func=time.monotonic)
DEFAULT_CONFIG = './config_s.json'
DEFAULT_LOGGER_LEVEL = logging.INFO
DEFAULT_WEBSOCKET_PATH = '/ws'
name_to_level = {
'debug': logging.DEBUG,
'info': logging.INFO,