def test_restore_checkpoint(preset_args,
clres,
framework,
timeout=Def.TimeOuts.test_time_limit):
"""
Create checkpoints and restore them in second run.
:param preset_args: all preset that can be tested for argument tests
:param clres: logs and csv files
:param framework: name of the test framework
:param timeout: max time for test
"""
def _create_cmd_and_run(flag):
"""
Create default command with given flag and run it
:param flag: name of the tested flag, this flag will be extended to the
running command line
:return: active process
"""
run_cmd = [
'python3',
'rl_coach/coach.py',
'-p',
'{}'.format(preset_args),
'-e',
'{}'.format("ExpName_" + preset_args),
'--seed',
'{}'.format(4),
'-f',
'{}'.format(framework),
]
test_flag = a_utils.add_one_flag_value(flag=flag)
run_cmd.extend(test_flag)
print(str(run_cmd))
p = subprocess.Popen(run_cmd, stdout=clres.stdout, stderr=clres.stdout)
return p
start_time = time.time()
if framework == "mxnet":
# update preset name - for mxnet framework we are using *_DQN
preset_args = Def.Presets.mxnet_args_test[0]
# update logs paths
test_name = 'ExpName_{}'.format(preset_args)
test_path = os.path.join(Def.Path.experiments, test_name)
clres.experiment_path = test_path
clres.stdout_path = 'test_log_{}.txt'.format(preset_args)
p_valid_params = p_utils.validation_params(preset_args)
create_cp_proc = _create_cmd_and_run(flag=['--checkpoint_save_secs', '5'])
# wait for checkpoint files
csv_list = a_utils.get_csv_path(clres=clres)
assert len(csv_list) > 0
exp_dir = os.path.dirname(csv_list[0])
checkpoint_dir = os.path.join(exp_dir, Def.Path.checkpoint)
checkpoint_test_dir = os.path.join(Def.Path.experiments, Def.Path.test_dir)
if os.path.exists(checkpoint_test_dir):
shutil.rmtree(checkpoint_test_dir)
res = a_utils.is_reward_reached(csv_path=csv_list[0],
p_valid_params=p_valid_params,
start_time=start_time,
time_limit=timeout)
if not res:
screen.error(open(clres.stdout.name).read(), crash=False)
assert False
entities = a_utils.get_files_from_dir(checkpoint_dir)
assert len(entities) > 0
assert any(".ckpt." in file for file in entities)
# send CTRL+C to close experiment
create_cp_proc.send_signal(signal.SIGINT)
if os.path.isdir(checkpoint_dir):
shutil.copytree(exp_dir, checkpoint_test_dir)
shutil.rmtree(exp_dir)
create_cp_proc.kill()
checkpoint_test_dir = "{}/{}".format(checkpoint_test_dir,
Def.Path.checkpoint)
# run second time with checkpoint folder (restore)
restore_cp_proc = _create_cmd_and_run(
flag=['-crd', checkpoint_test_dir, '--evaluate'])
new_csv_list = test_utils.get_csv_path(clres=clres)
time.sleep(10)
csv = pd.read_csv(new_csv_list[0])
res = csv['Episode Length'].values[-1]
expected_reward = 100
assert res >= expected_reward, Def.Consts.ASSERT_MSG.format(
str(expected_reward), str(res))
restore_cp_proc.kill()
test_folder = os.path.join(Def.Path.experiments, Def.Path.test_dir)
if os.path.exists(test_folder):
shutil.rmtree(test_folder)
def test_restore_checkpoint(preset_args, clres, start_time=time.time()):
""" Create checkpoint and restore them in second run."""
def _create_cmd_and_run(flag):
run_cmd = [
'python3',
'rl_coach/coach.py',
'-p',
'{}'.format(preset_args),
'-e',
'{}'.format("ExpName_" + preset_args),
]
test_flag = a_utils.add_one_flag_value(flag=flag)
run_cmd.extend(test_flag)
p = subprocess.Popen(run_cmd, stdout=clres.stdout, stderr=clres.stdout)
return p
create_cp_proc = _create_cmd_and_run(flag=['--checkpoint_save_secs', '5'])
# wait for checkpoint files
csv_list = a_utils.get_csv_path(clres=clres)
assert len(csv_list) > 0
exp_dir = os.path.dirname(csv_list[0])
checkpoint_dir = os.path.join(exp_dir, Def.Path.checkpoint)
checkpoint_test_dir = os.path.join(Def.Path.experiments, Def.Path.test_dir)
if os.path.exists(checkpoint_test_dir):
shutil.rmtree(checkpoint_test_dir)
entities = a_utils.get_files_from_dir(checkpoint_dir)
while not any("10_Step" in file for file in entities) and time.time() - \
start_time < Def.TimeOuts.test_time_limit:
entities = a_utils.get_files_from_dir(checkpoint_dir)
time.sleep(1)
assert len(entities) > 0
assert "checkpoint" in entities
assert any(".ckpt." in file for file in entities)
# send CTRL+C to close experiment
create_cp_proc.send_signal(signal.SIGINT)
csv = pd.read_csv(csv_list[0])
rewards = csv['Evaluation Reward'].values
rewards = rewards[~np.isnan(rewards)]
min_reward = np.amin(rewards)
if os.path.isdir(checkpoint_dir):
shutil.copytree(exp_dir, checkpoint_test_dir)
shutil.rmtree(exp_dir)
create_cp_proc.kill()
checkpoint_test_dir = "{}/{}".format(checkpoint_test_dir,
Def.Path.checkpoint)
# run second time with checkpoint folder (restore)
restore_cp_proc = _create_cmd_and_run(
flag=['-crd', checkpoint_test_dir, '--evaluate'])
new_csv_list = test_utils.get_csv_path(clres=clres)
time.sleep(10)
csv = pd.read_csv(new_csv_list[0])
res = csv['Episode Length'].values[-1]
assert res >= min_reward, \
Def.Consts.ASSERT_MSG.format(str(res) + ">=" + str(min_reward),
str(res) + " < " + str(min_reward))
restore_cp_proc.kill()