def init_meow_log_tool():
# log to console and file
logger1 = log_util.create_logger("load.log", print_console=True)
logger1.info("LOG_FILE") # log using logger1
# attach log to stdout (print function)
s1 = log_util.StreamToLogger(logger1)
sys.stdout = s1
print('Epoch ', epoch, 'train percentage ', train_acc)
print('Epoch ', epoch, 'dev percentage ', dev_acc)
print('Epoch ', epoch, 'test percentage ', test_acc)
loopEnd = time.time()
print('looptime is %s ' % (loopEnd - loopStart))
prepareTime = loopStart - startTime
loopTime = loopEnd - loopStart
timePerEpoch = loopTime / args.epochs
with open(write_to, "w") as f:
f.write("unit: " + "1 epoch\n")
for loss in loss_save:
f.write(str(loss) + "\n")
f.write("run time: " + str(prepareTime) + " " + str(timePerEpoch) +
"\n")
if __name__ == "__main__":
# log to console and file
logger1 = log_util.create_logger("temp_file", print_console=True)
logger1.info("LOG_FILE") # log using loggerba
# attach log to stdout (print function)
s1 = log_util.StreamToLogger(logger1)
sys.stdout = s1
print(
'_________________________________start___________________________________'
)
main("result_PyTorch.txt")