TensorBoard example
We can integrate a server into Tensorboard so that we can see the development of our training sessions in real time as they are executing. In order to do that (see Tensorboard documentation)
We are going to use callbacks in order to do that.
[1]:
import sinergym
from sinergym.utils.callbacks import LoggerEvalCallback, LoggerCallback
from sinergym.utils.rewards import *
from sinergym.utils.wrappers import LoggerWrapper
from datetime import datetime
import gym
from stable_baselines3.common.logger import configure
from stable_baselines3 import DQN
from stable_baselines3.common.callbacks import CallbackList
from stable_baselines3.common.vec_env import DummyVecEnv
/usr/local/lib/python3.10/dist-packages/gym/spaces/box.py:73: UserWarning: WARN: Box bound precision lowered by casting to float32
logger.warn(
You have to define a model like DRL notebook, this model will learn with the algorithm specified in the future.
[2]:
environment = "Eplus-demo-v1"
episodes = 4
experiment_date = datetime.today().strftime('%Y-%m-%d %H:%M')
# register run name
name = F"DQN-{environment}-episodes_{episodes}({experiment_date})"
env = gym.make(environment, reward=LinearReward)
env = LoggerWrapper(env)
[2022-08-24 09:21:36,475] EPLUS_ENV_demo-v1_MainThread_ROOT INFO:Updating idf ExternalInterface object if it is not present...
[2022-08-24 09:21:36,477] EPLUS_ENV_demo-v1_MainThread_ROOT INFO:Updating idf Site:Location and SizingPeriod:DesignDay(s) to weather and ddy file...
[2022-08-24 09:21:36,479] EPLUS_ENV_demo-v1_MainThread_ROOT INFO:Updating idf OutPut:Variable and variables XML tree model for BVCTB connection.
[2022-08-24 09:21:36,482] EPLUS_ENV_demo-v1_MainThread_ROOT INFO:Setting up extra configuration in building model if exists...
Now, we define tensorboard output path in the model definition.
[3]:
tensorboard_path='./tensorboard_log'
model = DQN('MlpPolicy', env, verbose=1, tensorboard_log=tensorboard_path)
Using cpu device
Wrapping the env with a `Monitor` wrapper
Wrapping the env in a DummyVecEnv.
Continue with the configuration as DRL notebook.
[4]:
n_timesteps_episode = env.simulator._eplus_one_epi_len / \
env.simulator._eplus_run_stepsize
timesteps = episodes * n_timesteps_episode
env_vec = DummyVecEnv([lambda: env])
We define the LoggerCallback in order to specify how to store the real time training data.
[5]:
callbacks = []
# Set up Evaluation and saving best model
log_callback = LoggerCallback(True)
callbacks.append(log_callback)
# lets change default dir for TensorboardFormatLogger only
tb_path = tensorboard_path + '/' + name
new_logger = configure(tb_path, ["tensorboard"])
model.set_logger(new_logger)
callback = CallbackList(callbacks)
2022-08-24 09:21:37.692349: I tensorflow/core/util/util.cc:169] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2022-08-24 09:21:37.734692: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcudart.so.11.0'; dlerror: libcudart.so.11.0: cannot open shared object file: No such file or directory
2022-08-24 09:21:37.734718: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
We have to include this callback in learning process.
[6]:
model.learn(
total_timesteps=timesteps,
callback=callback,
log_interval=1)
model.save(env.simulator._env_working_dir_parent + '/' + name)
env.close()
[2022-08-24 09:21:39,780] EPLUS_ENV_demo-v1_MainThread_ROOT INFO:Creating new EnergyPlus simulation episode...
[2022-08-24 09:21:39,788] EPLUS_ENV_demo-v1_MainThread_ROOT INFO:EnergyPlus working directory is in /workspaces/sinergym/examples/Eplus-env-demo-v1-res6/Eplus-env-sub_run1
[2022-08-24 09:21:54,888] EPLUS_ENV_demo-v1_MainThread_ROOT INFO:EnergyPlus episode completed successfully.
[2022-08-24 09:21:54,888] EPLUS_ENV_demo-v1_MainThread_ROOT INFO:Creating new EnergyPlus simulation episode...
[2022-08-24 09:21:54,896] EPLUS_ENV_demo-v1_MainThread_ROOT INFO:EnergyPlus working directory is in /workspaces/sinergym/examples/Eplus-env-demo-v1-res6/Eplus-env-sub_run2
[2022-08-24 09:22:19,340] EPLUS_ENV_demo-v1_MainThread_ROOT INFO:EnergyPlus episode completed successfully.
[2022-08-24 09:22:19,341] EPLUS_ENV_demo-v1_MainThread_ROOT INFO:Creating new EnergyPlus simulation episode...
[2022-08-24 09:22:19,348] EPLUS_ENV_demo-v1_MainThread_ROOT INFO:EnergyPlus working directory is in /workspaces/sinergym/examples/Eplus-env-demo-v1-res6/Eplus-env-sub_run3
[2022-08-24 09:22:51,235] EPLUS_ENV_demo-v1_MainThread_ROOT INFO:EnergyPlus episode completed successfully.
[2022-08-24 09:22:51,238] EPLUS_ENV_demo-v1_MainThread_ROOT INFO:Creating new EnergyPlus simulation episode...
[2022-08-24 09:22:51,253] EPLUS_ENV_demo-v1_MainThread_ROOT INFO:EnergyPlus working directory is in /workspaces/sinergym/examples/Eplus-env-demo-v1-res6/Eplus-env-sub_run4
[2022-08-24 09:23:24,742] EPLUS_ENV_demo-v1_MainThread_ROOT INFO:EnergyPlus episode completed successfully.
[2022-08-24 09:23:24,743] EPLUS_ENV_demo-v1_MainThread_ROOT INFO:Creating new EnergyPlus simulation episode...
[2022-08-24 09:23:24,751] EPLUS_ENV_demo-v1_MainThread_ROOT INFO:EnergyPlus working directory is in /workspaces/sinergym/examples/Eplus-env-demo-v1-res6/Eplus-env-sub_run5
/usr/local/lib/python3.10/dist-packages/numpy/core/fromnumeric.py:3474: RuntimeWarning: Mean of empty slice.
return _methods._mean(a, axis=axis, dtype=dtype,
/usr/local/lib/python3.10/dist-packages/numpy/core/_methods.py:189: RuntimeWarning: invalid value encountered in double_scalars
ret = ret.dtype.type(ret / rcount)
/usr/local/lib/python3.10/dist-packages/numpy/core/_methods.py:264: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/usr/local/lib/python3.10/dist-packages/numpy/core/_methods.py:222: RuntimeWarning: invalid value encountered in true_divide
arrmean = um.true_divide(arrmean, div, out=arrmean, casting='unsafe',
/usr/local/lib/python3.10/dist-packages/numpy/core/_methods.py:256: RuntimeWarning: invalid value encountered in double_scalars
ret = ret.dtype.type(ret / rcount)
[2022-08-24 09:23:30,387] EPLUS_ENV_demo-v1_MainThread_ROOT INFO:EnergyPlus simulation closed successfully.
While training is executing, you can see that tensorboard path specified folder has been created. Then, you can start a local server and see the information about training in real-time.