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2 changes: 1 addition & 1 deletion compiler_opt/rl/local_data_collector.py
Original file line number Diff line number Diff line change
Expand Up @@ -55,7 +55,7 @@ def __init__(
# We remove this activity from the critical path by running it concurrently
# with the training phase - i.e. whatever happens between successive data
# collection calls. Subsequent runs will wait for these to finish.
self._reset_workers: concurrent.futures.Future = None
self._reset_workers: Optional[concurrent.futures.Future] = None
self._current_work: List[Tuple[corpus.ModuleSpec, worker.WorkerFuture]] = []
self._pool = concurrent.futures.ThreadPoolExecutor()

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4 changes: 2 additions & 2 deletions compiler_opt/rl/train_locally.py
Original file line number Diff line number Diff line change
Expand Up @@ -45,7 +45,7 @@
flags.DEFINE_string('root_dir', os.getenv('TEST_UNDECLARED_OUTPUTS_DIR'),
'Root directory for writing logs/summaries/checkpoints.')
flags.DEFINE_string('data_path', None,
'Path to CNS folder containing IR files.')
'Path to directory containing the corpus.')
flags.DEFINE_integer(
'num_workers', None,
'Number of parallel data collection workers. `None` for max available')
Expand Down Expand Up @@ -98,7 +98,7 @@ def train_eval(agent_name=constant.AgentName.PPO,
}
saver = policy_saver.PolicySaver(policy_dict=policy_dict)

logging.info('Loading module specs from corpus.')
logging.info('Loading module specs from corpus at %s.', FLAGS.data_path)
module_specs = corpus.build_modulespecs_from_datapath(
FLAGS.data_path, problem_config.flags_to_add(),
problem_config.flags_to_delete())
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