do_eval

[linqq9]

OUTPUT_DIR=models.densetnt.1;
python src/run.py --argoverse --future_frame_num 30
--do_eval --data_dir ./train/data --output_dir ${OUTPUT_DIR}
--hidden_size 128 --train_batch_size 64 --use_map
--core_num 16 --use_centerline
--eval_params optimization MRminFDE cnt_sample=9 opti_time=0.1

Hello, the above is my command when running prediction, but the following problem always occurs. What is the reason?

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2022-07-08 14:44:26 2022-07-08 14:44:23.000 [INFO] [Driver] File "/home/notebook/code/personal/waymo/DenseTNT/src/modeling/vectornet.py", line 32, in forward
2022-07-08 14:44:26 2022-07-08 14:44:23.000 [INFO] [Driver] hidden_states, lengths = utils.merge_tensors(input_list, device)
2022-07-08 14:44:26 2022-07-08 14:44:23.000 [INFO] [Driver] File "/home/notebook/code/personal/S9048717/waymo/DenseTNT/src/utils.py", line 808, in merge_tensors
2022-07-08 14:44:26 2022-07-08 14:44:23.000 [INFO] [Driver] res[i][:tensor.shape[0
2022-07-08 14:44:26 2022-07-08 14:44:23.000 [INFO] [Driver] RuntimeError: The expanded size of the tensor (128) must match the existing size (64) at non-singleton dimension 1. Target sizes: [19, 128]. Tensor sizes: [19, 64]
2022-07-08 14:44:26 2022-07-08 14:44:24.000 [INFO] [Driver] Task task-20220708144211-34515 run failed, Exit code : 1