| import dataclasses | |
| import os | |
| import time | |
| from openpi.training import config as c | |
| from openpi.training import data_loader as dl | |
| def main() -> None: | |
| workers = int(os.environ.get("KINOVA_BENCH_WORKERS", "12")) | |
| batch_size = int(os.environ.get("KINOVA_BENCH_BATCH_SIZE", "24")) | |
| cfg = dataclasses.replace( | |
| c.get_config("pi05_kinova_teddybear"), | |
| exp_name=f"bench_first_b{batch_size}_w{workers}", | |
| batch_size=batch_size, | |
| num_workers=workers, | |
| ) | |
| print({"workers": workers, "batch_size": batch_size}, flush=True) | |
| t0 = time.time() | |
| loader = dl.create_data_loader(cfg, shuffle=False, num_batches=1) | |
| print({"loader_created_s": round(time.time() - t0, 3)}, flush=True) | |
| t1 = time.time() | |
| _ = next(iter(loader)) | |
| print({"first_batch_s": round(time.time() - t1, 3)}, flush=True) | |
| if __name__ == "__main__": | |
| main() | |