typeerros when i run 'python gobigger_vsbot_baseline_main.py'

[notomatoes]

pygame 2.1.0 (SDL 2.0.16, Python 3.7.9)
Hello from the pygame community. https://www.pygame.org/contribute.html
INFO:learner_logger:[RANK0]: DI-engine DRL Policy
GoBiggerHybridActionSimple(
  (activation): ReLU()
  (encoder): StructedGcnConvSimple(
    (scalar_encoder): Sequential(
      (0): Linear(in_features=5, out_features=32, bias=True)
      (1): ReLU()
      (2): Linear(in_features=32, out_features=128, bias=True)
      (3): ReLU()
    )
    (food_encoder): Sequential(
      (0): Conv2d(2, 32, kernel_size=(5, 5), stride=(4, 4), padding=(2, 2))
      (1): ReLU()
      (2): Conv2d(32, 64, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1))
      (3): ReLU()
      (4): Conv2d(64, 64, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1))
      (5): ReLU()
      (6): Conv2d(64, 128, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1))
      (7): ReLU()
      (8): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1))
      (9): ReLU()
    )
    (food_relation_encoder): Sequential(
      (0): Linear(in_features=150, out_features=64, bias=True)
      (1): ReLU()
      (2): Linear(in_features=64, out_features=128, bias=True)
      (3): ReLU()
    )
    (thorn_relation_encoder): Sequential(
      (0): Linear(in_features=12, out_features=32, bias=True)
      (1): ReLU()
      (2): Linear(in_features=32, out_features=128, bias=True)
      (3): ReLU()
    )
    (clone_encoder): Sequential(
      (0): Linear(in_features=17, out_features=32, bias=True)
      (1): ReLU()
      (2): Linear(in_features=32, out_features=128, bias=True)
      (3): ReLU()
    )
    (clone_relation_encoder): Sequential(
      (0): Linear(in_features=12, out_features=32, bias=True)
      (1): ReLU()
      (2): Linear(in_features=32, out_features=128, bias=True)
      (3): ReLU()
    )
    (gcn_1): RelationGCN(
      (act): ReLU()
      (thorn_relation_layers): Sequential(
        (0): Linear(in_features=256, out_features=128, bias=True)
        (1): ReLU()
      )
      (clone_relation_layers): Sequential(
        (0): Linear(in_features=384, out_features=128, bias=True)
        (1): ReLU()
      )
      (agg_relation_layers): Sequential(
        (0): Linear(in_features=512, out_features=128, bias=True)
        (1): ReLU()
      )
    )
    (gcn_2): RelationGCN(
      (act): ReLU()
      (thorn_relation_layers): Sequential(
        (0): Linear(in_features=256, out_features=128, bias=True)
        (1): ReLU()
      )
      (clone_relation_layers): Sequential(
        (0): Linear(in_features=384, out_features=128, bias=True)
        (1): ReLU()
      )
      (agg_relation_layers): Sequential(
        (0): Linear(in_features=512, out_features=128, bias=True)
        (1): ReLU()
      )
    )
    (agg_encoder): Sequential(
      (0): Linear(in_features=384, out_features=128, bias=True)
      (1): ReLU()
      (2): Linear(in_features=128, out_features=64, bias=True)
      (3): ReLU()
    )
  )
  (action_type_head): DiscreteHead(
    (Q): Sequential(
      (0): Sequential(
        (0): Linear(in_features=32, out_features=32, bias=True)
        (1): ReLU()
        (2): Linear(in_features=32, out_features=32, bias=True)
        (3): ReLU()
      )
      (1): Sequential(
        (0): Linear(in_features=32, out_features=16, bias=True)
      )
    )
  )
)
Traceback (most recent call last):
  File "/home/keliangjun666/hjb/Gobigger-Explore/my_submission/entry/gobigger_vsbot_baseline_simple_main.py", line 112, in <module>
    main(main_config)
  File "/home/keliangjun666/hjb/Gobigger-Explore/my_submission/entry/gobigger_vsbot_baseline_simple_main.py", line 99, in main
    learner.save_checkpoint, learner.train_iter, collector.envstep
  File "/home/keliangjun666/miniconda3/envs/big/lib/python3.7/site-packages/ding/worker/collector/battle_interaction_serial_evaluator.py", line 206, in eval
    obs = to_tensor(obs, dtype=torch.float32)
  File "/home/keliangjun666/miniconda3/envs/big/lib/python3.7/site-packages/ding/torch_utils/data_helper.py", line 109, in to_tensor
    new_data[k] = to_tensor(v, dtype, ignore_keys, transform_scalar)
  File "/home/keliangjun666/miniconda3/envs/big/lib/python3.7/site-packages/ding/torch_utils/data_helper.py", line 121, in to_tensor
    new_data.append(to_tensor(t, dtype, ignore_keys, transform_scalar))
  File "/home/keliangjun666/miniconda3/envs/big/lib/python3.7/site-packages/ding/torch_utils/data_helper.py", line 109, in to_tensor
    new_data[k] = to_tensor(v, dtype, ignore_keys, transform_scalar)
  File "/home/keliangjun666/miniconda3/envs/big/lib/python3.7/site-packages/ding/torch_utils/data_helper.py", line 121, in to_tensor
    new_data.append(to_tensor(t, dtype, ignore_keys, transform_scalar))
  File "/home/keliangjun666/miniconda3/envs/big/lib/python3.7/site-packages/ding/torch_utils/data_helper.py", line 109, in to_tensor
    new_data[k] = to_tensor(v, dtype, ignore_keys, transform_scalar)
  File "/home/keliangjun666/miniconda3/envs/big/lib/python3.7/site-packages/ding/torch_utils/data_helper.py", line 121, in to_tensor
    new_data.append(to_tensor(t, dtype, ignore_keys, transform_scalar))
  File "/home/keliangjun666/miniconda3/envs/big/lib/python3.7/site-packages/ding/torch_utils/data_helper.py", line 109, in to_tensor
    new_data[k] = to_tensor(v, dtype, ignore_keys, transform_scalar)
  File "/home/keliangjun666/miniconda3/envs/big/lib/python3.7/site-packages/ding/torch_utils/data_helper.py", line 109, in to_tensor
    new_data[k] = to_tensor(v, dtype, ignore_keys, transform_scalar)
  File "/home/keliangjun666/miniconda3/envs/big/lib/python3.7/site-packages/ding/torch_utils/data_helper.py", line 109, in to_tensor
    new_data[k] = to_tensor(v, dtype, ignore_keys, transform_scalar)
  File "/home/keliangjun666/miniconda3/envs/big/lib/python3.7/site-packages/ding/torch_utils/data_helper.py", line 121, in to_tensor
    new_data.append(to_tensor(t, dtype, ignore_keys, transform_scalar))
  File "/home/keliangjun666/miniconda3/envs/big/lib/python3.7/site-packages/ding/torch_utils/data_helper.py", line 115, in to_tensor
    return transform(item)
  File "/home/keliangjun666/miniconda3/envs/big/lib/python3.7/site-packages/ding/torch_utils/data_helper.py", line 101, in transform
    return torch.tensor(d, dtype=dtype)
TypeError: must be real number, not str

how i can slove this error

[jayyoung0802]

Solved, see details #6