| import gym |
| import memory_profiler |
| import pytest |
|
|
| from metaworld.envs.mujoco.env_dict import ALL_V1_ENVIRONMENTS |
| from tests.helpers import step_env |
|
|
|
|
| def build_and_step(env_cls): |
| env = env_cls() |
| step_env(env, max_path_length=150, iterations=10, render=False) |
| env.close() |
|
|
|
|
| def build_and_step_all(classes): |
| envs = [] |
| for env_cls in classes: |
| env = build_and_step(env_cls) |
| envs += [env] |
|
|
|
|
| @pytest.fixture(scope='module') |
| def mt50_usage(): |
| profile = {} |
| for env_cls in ALL_V1_ENVIRONMENTS.values(): |
| target = (build_and_step, [env_cls], {}) |
| memory_usage = memory_profiler.memory_usage(target) |
| profile[env_cls] = max(memory_usage) |
|
|
| return profile |
|
|
|
|
| @pytest.mark.skip |
| @pytest.mark.parametrize('env_cls', ALL_V1_ENVIRONMENTS.values()) |
| def test_max_memory_usage(env_cls, mt50_usage): |
| |
| |
| |
| |
| |
| assert mt50_usage[env_cls] < 250 |
|
|
|
|
| @pytest.mark.skip |
| def test_avg_memory_usage(): |
| |
| target = (build_and_step_all, [ALL_V1_ENVIRONMENTS.values()], {}) |
| usage = memory_profiler.memory_usage(target) |
| average = max(usage) / len(ALL_V1_ENVIRONMENTS) |
| assert average < 60 |
|
|
|
|
| @pytest.mark.skip |
| def test_from_task_memory_usage(): |
| target = (ALL_V1_ENVIRONMENTS['reach-v1'], (), {}) |
| usage = memory_profiler.memory_usage(target) |
| assert max(usage) < 250 |
|
|