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I am trying to run colabfold batch with single_sequence MSA mode and use_templates=True.
Finish colabfold batch and get result.
After running one run, following error occurs:
2024-04-29 13:37:05,798 Running on GPU 2024-04-29 13:37:08,920 Found 5 citations for tools or databases 2024-04-29 13:37:08,921 Query 1/5: 101 (length 219) 2024-04-29 13:37:46,312 Sequence 0 found templates: ['6aru_A', '8hgs_A', '3njp_B', '7sz5_A', '2ahx_B', '7sz5_B', '1yy9_A', '2ahx_A', '3u7u_C', '3u7u_A', '3u2p_A', '5wb8_D', '5wb7_A', '7len_A', '1mox_A', '7lfs_A', '3u9u_F', '5wb8_A', '4uv7_A', '4kro_A'] 2024-04-29 13:37:46,314 Sequence 1 found no templates 2024-04-29 13:38:34,916 alphafold2_multimer_v3_model_1_seed_000 recycle=0 pLDDT=76.7 pTM=0.687 ipTM=0.176 2024-04-29 13:38:40,045 alphafold2_multimer_v3_model_1_seed_000 recycle=1 pLDDT=89.8 pTM=0.892 ipTM=0.845 tol=2.4 2024-04-29 13:38:45,076 alphafold2_multimer_v3_model_1_seed_000 recycle=2 pLDDT=88.8 pTM=0.876 ipTM=0.799 tol=0.231 2024-04-29 13:38:45,077 alphafold2_multimer_v3_model_1_seed_000 took 43.3s (2 recycles) --------------------------------------------------------------------------- UFuncTypeError Traceback (most recent call last) [<ipython-input-4-df19c07a99ab>](https://localhost:8080/#) in <cell line: 17>() 15 16 queries, is_complex = get_queries(input_dir) ---> 17 run( 18 queries=queries, 19 result_dir=result_dir, 1 frames [/content/colabfold/batch.py](https://localhost:8080/#) in predict_structure(prefix, result_dir, feature_dict, is_complex, use_templates, sequences_lengths, pad_len, model_type, model_runner_and_params, num_relax, relax_max_iterations, relax_tolerance, relax_stiffness, relax_max_outer_iterations, rank_by, random_seed, num_seeds, stop_at_score, prediction_callback, use_gpu_relax, save_all, save_single_representations, save_pair_representations, save_recycles) 495 496 # early stop criteria fulfilled --> 497 if mean_scores[-1] > stop_at_score: break 498 499 # early stop criteria fulfilled UFuncTypeError: ufunc 'greater' did not contain a loop with signature matching types (<class 'numpy.dtypes.Float16DType'>, <class 'numpy.dtypes.StrDType'>) -> None
Running on Google Colab, T4 GPU, 15GB
The text was updated successfully, but these errors were encountered:
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I am trying to run colabfold batch with single_sequence MSA mode and use_templates=True.
Expected Behavior
Finish colabfold batch and get result.
Current Behavior
After running one run, following error occurs:
Your Environment
Running on Google Colab,
T4 GPU, 15GB
The text was updated successfully, but these errors were encountered: