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import multiprocessing |
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import time |
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import gymnasium as gym |
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import popgym |
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from popgym.envs.battleship import Battleship |
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TestEnv = gym.make("MinAtar/Asterix-v1") |
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NUM_STEPS = 512 |
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def run_sample(e, num_steps): |
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env = e |
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env.reset() |
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start = time.time() |
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for i in range(num_steps): |
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obs, _, terminated, truncated, _ = env.step(env.action_space.sample()) |
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print(obs.shape) |
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if terminated or truncated: |
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env.reset() |
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end = time.time() |
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elapsed = end - start |
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fps = num_steps / elapsed |
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return fps |
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def main(): |
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print(f"Testing environment: {TestEnv}") |
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for n in range(1, 10): |
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num_workers = 2**n |
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fps_single = run_sample(TestEnv, NUM_STEPS) |
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print(f"{TestEnv} (1x) FPS: {fps_single:.0f}") |
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with multiprocessing.Pool(processes=num_workers) as p: |
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envs = num_workers * [TestEnv] |
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steps = num_workers * [int(NUM_STEPS // num_workers)] |
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fps_multi = sum(p.starmap(run_sample, zip(envs, steps))) |
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print(f"{TestEnv} ({num_workers}x) FPS: {fps_multi:.0f}") |
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if __name__ == "__main__": |
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main() |
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