| | |
| | | |
| | | result_list = [] |
| | | num_samples = len(data_list) |
| | | pbar = tqdm(colour="blue", total=num_samples + 1, dynamic_ncols=True) |
| | | # pbar = tqdm(colour="blue", total=num_samples + 1, dynamic_ncols=True) |
| | | |
| | | time0 = time.perf_counter() |
| | | for beg_idx in range(0, num_samples, batch_size): |
| | |
| | | } |
| | | result_list.append(batch) |
| | | |
| | | pbar.update(1) |
| | | description = f"{meta_data}, " |
| | | pbar.set_description(description) |
| | | # pbar.update(1) |
| | | # description = f"{meta_data}, " |
| | | # pbar.set_description(description) |
| | | |
| | | time_end = time.perf_counter() |
| | | pbar.set_description(f"time escaped total: {time_end - time0:0.3f}") |
| | | # pbar.set_description(f"time escaped total: {time_end - time0:0.3f}") |
| | | |
| | | return result_list |