ray/rllib/examples/env/gpu_requiring_env.py

27 lines
1.1 KiB
Python

import ray
from ray.rllib.examples.env.simple_corridor import SimpleCorridor
class GPURequiringEnv(SimpleCorridor):
"""A dummy env that requires a GPU in order to work.
The env here is a simple corridor env that additionally simulates a GPU
check in its constructor via `ray.get_gpu_ids()`. If this returns an
empty list, we raise an error.
To make this env work, use `num_gpus_per_worker > 0` (RolloutWorkers
requesting this many GPUs each) and - maybe - `num_gpus > 0` in case
your local worker/driver must have an env as well. However, this is
only the case if `create_env_on_driver`=True (default is False).
"""
def __init__(self, config=None):
super().__init__(config)
# Fake-require some GPUs (at least one).
# If your local worker's env (`create_env_on_driver`=True) does not
# necessarily require a GPU, you can perform the below assertion only
# if `config.worker_index != 0`.
gpus_available = ray.get_gpu_ids()
assert len(gpus_available) > 0, "Not enough GPUs for this env!"
print("Env can see these GPUs: {}".format(gpus_available))