#####################
#
# Use this with or without the .gitattributes snippet with this Gist
# create a fixle.sh file, paste this in and run it.
# Why do you want this ? Because Git will see diffs between files shared between Linux and Windows due to differences in line ending handling ( Windows uses CRLF and Unix LF) 
# This Gist normalizes handling by forcing everything to use Unix style.
#####################

# Fix Line Endings - Force All Line Endings to LF and Not Windows Default CR or CRLF
# Taken largely from: https://help.github.com/articles/dealing-with-line-endings/
# With the exception that we are forcing LF instead of converting to windows style.

#Set LF as your line ending default.
git config --global core.eol lf

#Set autocrlf to false to stop converting between windows style (CRLF) and Unix style (LF)
git config --global core.autocrlf false

#Save your current files in Git, so that none of your work is lost.
git add . -u
git commit -m "Saving files before refreshing line endings"


#Remove the index and force Git to rescan the working directory.
rm .git/index

#Rewrite the Git index to pick up all the new line endings.
git reset

#Show the rewritten, normalized files.

git status

#Add all your changed files back, and prepare them for a commit. This is your chance to inspect which files, if any, were unchanged.

git add -u
# It is perfectly safe to see a lot of messages here that read
# "warning: CRLF will be replaced by LF in file."

#Rewrite the .gitattributes file.
git add .gitattributes

#Commit the changes to your repository.

git commit -m "Normalize all the line endings"

首先，感谢您的帮助！我尝试使用您提供的方法，并收到以下信息。

[master 45d484f] Saving files before refreshing line endings
 1 file changed, 40 insertions(+)
 create mode 100644 fixle.sh
On branch master
Your branch is ahead of 'origin/master' by 1 commit.
  (use "git push" to publish your local commits)

nothing to commit, working tree clean
fatal: pathspec '.gitattributes' did not match any files
On branch master
Your branch is ahead of 'origin/master' by 1 commit.
  (use "git push" to publish your local commits)

nothing to commit, working tree clean

随后，我运行run_gradio.sh并遇到了以下错误。

FutureWarning: The module torch.distributed.launch is deprecated
and will be removed in future. Use torchrun.
Note that --use_env is set by default in torchrun.
If your script expects `--local_rank` argument to be set, please
change it to read from `os.environ['LOCAL_RANK']` instead. See 
https://pytorch.org/docs/stable/distributed.html#launch-utility for 
further instructions

  warnings.warn(
2023-10-16 15:06:08 | WARNING | xformers | WARNING[XFORMERS]: xFormers can't load C++/CUDA extensions. xFormers was built for:
    PyTorch 2.0.1 with CUDA 1108 (you have 1.13.0+cu117)
    Python  3.9.18 (you have 3.9.18)
  Please reinstall xformers (see https://github.com/facebookresearch/xformers#installing-xformers)
  Memory-efficient attention, SwiGLU, sparse and more won't be available.
  Set XFORMERS_MORE_DETAILS=1 for more details
Please install pip install -r visual_requirement.txt for VL dataset
2023-10-16 15:06:10 | INFO | fairseq.distributed.utils | distributed init (rank 0): env://
2023-10-16 15:06:10 | INFO | torch.distributed.distributed_c10d | Added key: store_based_barrier_key:1 to store for rank: 0
2023-10-16 15:06:10 | INFO | torch.distributed.distributed_c10d | Rank 0: Completed store-based barrier for key:store_based_barrier_key:1 with 1 nodes.
2023-10-16 15:06:10 | INFO | fairseq.distributed.utils | initialized host DESKTOP-3Q0HFJ3 as rank 0
2023-10-16 15:06:11 | INFO | fairseq_cli.interactive | {'_name': None, 'common': {'_name': None, 'no_progress_bar': False, 'log_interval': 100, 'log_format': None, 'log_file': None, 'tensorboard_logdir': None, 'wandb_project': None, 'azureml_logging': False, 'seed': 1, 'cpu': False, 'tpu': False, 'bf16': False, 'memory_efficient_bf16': False, 'fp16': False, 'memory_efficient_fp16': False, 'fp16_no_flatten_grads': False, 'fp16_init_scale': 128, 'fp16_scale_window': None, 'fp16_scale_tolerance': 0.0, 'on_cpu_convert_precision': False, 'min_loss_scale': 0.0001, 'threshold_loss_scale': None, 'amp': False, 'amp_batch_retries': 2, 'amp_init_scale': 128, 'amp_scale_window': None, 'user_dir': None, 'empty_cache_freq': 0, 'all_gather_list_size': 16384, 'model_parallel_size': 1, 'quantization_config_path': None, 'profile': False, 'reset_logging': False, 'suppress_crashes': False, 'use_plasma_view': False, 'plasma_path': '/tmp/plasma', 'deepspeed': False, 'zero': 0, 'exit_interval': 0}, 'common_eval': {'_name': None, 'path': '/path/kosmos2.pt', 'post_process': 'sentencepiece', 'quiet': False, 'model_overrides': "{'visual_pretrained': '',\n            'dict_path':'data/dict.txt'}", 'results_path': None}, 'distributed_training': {'_name': None, 'distributed_world_size': 1, 'distributed_num_procs': 1, 'distributed_rank': 0, 'distributed_backend': 'nccl', 'distributed_init_method': 'env://', 'distributed_port': -1, 'device_id': 0, 'distributed_no_spawn': True, 'ddp_backend': 'pytorch_ddp', 'ddp_comm_hook': 'none', 'bucket_cap_mb': 25, 'fix_batches_to_gpus': False, 'find_unused_parameters': False, 'gradient_as_bucket_view': False, 'fast_stat_sync': False, 'heartbeat_timeout': -1, 'broadcast_buffers': False, 'slowmo_momentum': None, 'slowmo_base_algorithm': 'localsgd', 'localsgd_frequency': 3, 'nprocs_per_node': 1, 'pipeline_model_parallel': False, 'pipeline_balance': None, 'pipeline_devices': None, 'pipeline_chunks': 0, 'pipeline_encoder_balance': None, 'pipeline_encoder_devices': None, 'pipeline_decoder_balance': None, 'pipeline_decoder_devices': None, 'pipeline_checkpoint': 'never', 'zero_sharding': 'none', 'fp16': False, 'memory_efficient_fp16': False, 'tpu': False, 'no_reshard_after_forward': False, 'fp32_reduce_scatter': False, 'cpu_offload': False, 'use_sharded_state': False, 'not_fsdp_flatten_parameters': False}, 'dataset': {'_name': None, 'num_workers': 1, 'skip_invalid_size_inputs_valid_test': False, 'max_tokens': None, 'batch_size': 1, 'required_batch_size_multiple': 1, 'required_seq_len_multiple': 1, 'dataset_impl': None, 'data_buffer_size': 10, 'train_subset': 'train', 'valid_subset': 'valid', 'combine_valid_subsets': None, 'ignore_unused_valid_subsets': False, 'validate_interval': 1, 'validate_interval_updates': 0, 'validate_after_updates': 0, 'fixed_validation_seed': None, 'disable_validation': False, 'max_tokens_valid': None, 'batch_size_valid': 1, 'max_valid_steps': None, 'curriculum': 0, 'gen_subset': 'test', 'num_shards': 1, 'shard_id': 0, 'grouped_shuffling': False, 'update_epoch_batch_itr': False, 'update_ordered_indices_seed': False}, 'optimization': {'_name': None, 'max_epoch': 0, 'max_update': 0, 'stop_time_hours': 0.0, 'clip_norm': 0.0, 'sentence_avg': False, 'update_freq': [1], 'lr': [0.25], 'stop_min_lr': -1.0, 'use_bmuf': False, 'skip_remainder_batch': False}, 'checkpoint': {'_name': None, 'save_dir': 'checkpoints', 'restore_file': 'checkpoint_last.pt', 'continue_once': None, 'finetune_from_model': None, 'reset_dataloader': False, 'reset_lr_scheduler': False, 'reset_meters': False, 'reset_optimizer': False, 'optimizer_overrides': '{}', 'save_interval': 1, 'save_interval_updates': 0, 'keep_interval_updates': -1, 'keep_interval_updates_pattern': -1, 'keep_last_epochs': -1, 'keep_best_checkpoints': -1, 'no_save': False, 'no_epoch_checkpoints': False, 'no_last_checkpoints': False, 'no_save_optimizer_state': False, 'best_checkpoint_metric': 'loss', 'maximize_best_checkpoint_metric': False, 'patience': -1, 'checkpoint_suffix': '', 'checkpoint_shard_count': 1, 'load_checkpoint_on_all_dp_ranks': False, 'write_checkpoints_asynchronously': False, 'model_parallel_size': 1}, 'bmuf': {'_name': None, 'block_lr': 1.0, 'block_momentum': 0.875, 'global_sync_iter': 50, 'warmup_iterations': 500, 'use_nbm': False, 'average_sync': False, 'distributed_world_size': 1}, 'generation': {'_name': None, 'beam': 1, 'nbest': 1, 'max_len_a': 0.0, 'max_len_b': 500, 'min_len': 1, 'match_source_len': False, 'unnormalized': False, 'no_early_stop': False, 'no_beamable_mm': False, 'lenpen': 1.0, 'unkpen': 0.0, 'replace_unk': None, 'sacrebleu': False, 'score_reference': False, 'prefix_size': 0, 'no_repeat_ngram_size': 3, 'sampling': False, 'sampling_topk': -1, 'sampling_topp': -1.0, 'constraints': None, 'temperature': 1.0, 'diverse_beam_groups': -1, 'diverse_beam_strength': 0.5, 'diversity_rate': -1.0, 'print_alignment': None, 'print_step': False, 'lm_path': None, 'lm_weight': 0.0, 'iter_decode_eos_penalty': 0.0, 'iter_decode_max_iter': 10, 'iter_decode_force_max_iter': False, 'iter_decode_with_beam': 1, 'iter_decode_with_external_reranker': False, 'retain_iter_history': False, 'retain_dropout': False, 'retain_dropout_modules': None, 'decoding_format': None, 'no_seed_provided': False}, 'eval_lm': {'_name': None, 'output_word_probs': False, 'output_word_stats': False, 'context_window': 0, 'softmax_batch': 9223372036854775807}, 'interactive': {'_name': None, 'buffer_size': 1, 'input': '-'}, 'model': None, 'task': {'_name': 'generation_obj', 'data': 'None', 'sample_break_mode': 'none', 'tokens_per_sample': 1024, 'output_dictionary_size': -1, 'self_target': False, 'future_target': False, 'past_target': False, 'add_bos_token': True, 'max_target_positions': None, 'shorten_method': 'none', 'shorten_data_split_list': '', 'pad_to_fixed_length': False, 'pad_to_fixed_bsz': False, 'seed': 1, 'batch_size': 1, 'batch_size_valid': 1, 'dataset_impl': None, 'data_buffer_size': 10, 'tpu': False, 'use_plasma_view': False, 'plasma_path': '/tmp/plasma', 'required_batch_size_multiple': 1, 'dict_path': 'data/dict.txt', 'image_feature_length': 64, 'input_resolution': 224, 'location_bin_size': 32, 'locate_special_token': 1}, 'criterion': {'_name': 'cross_entropy', 'sentence_avg': True}, 'optimizer': None, 'lr_scheduler': {'_name': 'fixed', 'force_anneal': None, 'lr_shrink': 0.1, 'warmup_updates': 0, 'lr': [0.25]}, 'scoring': {'_name': 'bleu', 'pad': 1, 'eos': 2, 'unk': 3}, 'bpe': None, 'tokenizer': None, 'ema': {'_name': None, 'store_ema': False, 'ema_decay': 0.9999, 'ema_start_update': 0, 'ema_seed_model': None, 'ema_update_freq': 1, 'ema_fp32': False}}
2023-10-16 15:06:11 | INFO | fairseq_cli.interactive | Task: {'_name': 'generation_obj', 'data': 'None', 'sample_break_mode': 'none', 'tokens_per_sample': 1024, 'output_dictionary_size': -1, 'self_target': False, 'future_target': False, 'past_target': False, 'add_bos_token': True, 'max_target_positions': None, 'shorten_method': 'none', 'shorten_data_split_list': '', 'pad_to_fixed_length': False, 'pad_to_fixed_bsz': False, 'seed': 1, 'batch_size': 1, 'batch_size_valid': 1, 'dataset_impl': None, 'data_buffer_size': 10, 'tpu': False, 'use_plasma_view': False, 'plasma_path': '/tmp/plasma', 'required_batch_size_multiple': 1, 'dict_path': 'data/dict.txt', 'image_feature_length': 64, 'input_resolution': 224, 'location_bin_size': 32, 'locate_special_token': 1}
2023-10-16 15:06:11 | INFO | unilm.tasks.generation_obj | dictionary from data/dict.txt: 65037 types
2023-10-16 15:06:11 | INFO | fairseq_cli.interactive | loading model(s) from /path/kosmos2.pt
Traceback (most recent call last):
  File "/home/wendell/unilm/kosmos-2/demo/gradio_app.py", line 611, in <module>
    cli_main()
  File "/home/wendell/unilm/kosmos-2/demo/gradio_app.py", line 607, in cli_main
    distributed_utils.call_main(convert_namespace_to_omegaconf(args), main)
  File "/home/wendell/anaconda3/envs/kosmos-2/lib/python3.9/site-packages/fairseq/distributed/utils.py", line 359, in call_main
    distributed_main(cfg.distributed_training.device_id, main, cfg, kwargs)
  File "/home/wendell/anaconda3/envs/kosmos-2/lib/python3.9/site-packages/fairseq/distributed/utils.py", line 333, in distributed_main
    main(cfg, **kwargs)
  File "/home/wendell/unilm/kosmos-2/demo/gradio_app.py", line 265, in main
    models, _model_args = checkpoint_utils.load_model_ensemble(
  File "/home/wendell/anaconda3/envs/kosmos-2/lib/python3.9/site-packages/fairseq/checkpoint_utils.py", line 385, in load_model_ensemble
    ensemble, args, _task = load_model_ensemble_and_task(
  File "/home/wendell/anaconda3/envs/kosmos-2/lib/python3.9/site-packages/fairseq/checkpoint_utils.py", line 441, in load_model_ensemble_and_task
    raise IOError("Model file not found: {}".format(filename))
OSError: Model file not found: /path/kosmos2.pt
ERROR:torch.distributed.elastic.multiprocessing.api:failed (exitcode: 1) local_rank: 0 (pid: 678564) of binary: /home/wendell/anaconda3/envs/kosmos-2/bin/python
Traceback (most recent call last):
  File "/home/wendell/anaconda3/envs/kosmos-2/lib/python3.9/runpy.py", line 197, in _run_module_as_main
    return _run_code(code, main_globals, None,
  File "/home/wendell/anaconda3/envs/kosmos-2/lib/python3.9/runpy.py", line 87, in _run_code
    exec(code, run_globals)
  File "/home/wendell/anaconda3/envs/kosmos-2/lib/python3.9/site-packages/torch/distributed/launch.py", line 195, in <module>
    main()
  File "/home/wendell/anaconda3/envs/kosmos-2/lib/python3.9/site-packages/torch/distributed/launch.py", line 191, in main
    launch(args)
  File "/home/wendell/anaconda3/envs/kosmos-2/lib/python3.9/site-packages/torch/distributed/launch.py", line 176, in launch
    run(args)
  File "/home/wendell/anaconda3/envs/kosmos-2/lib/python3.9/site-packages/torch/distributed/run.py", line 753, in run
    elastic_launch(
  File "/home/wendell/anaconda3/envs/kosmos-2/lib/python3.9/site-packages/torch/distributed/launcher/api.py", line 132, in __call__
    return launch_agent(self._config, self._entrypoint, list(args))
  File "/home/wendell/anaconda3/envs/kosmos-2/lib/python3.9/site-packages/torch/distributed/launcher/api.py", line 246, in launch_agent
    raise ChildFailedError(
torch.distributed.elastic.multiprocessing.errors.ChildFailedError: 
============================================================
demo/gradio_app.py FAILED
------------------------------------------------------------
Failures:
  <NO_OTHER_FAILURES>
------------------------------------------------------------
Root Cause (first observed failure):
[0]:
  time      : 2023-10-16_15:06:12
  host      : DESKTOP-3Q0HFJ3.
  rank      : 0 (local_rank: 0)
  exitcode  : 1 (pid: 678564)
  error_file: <N/A>
  traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html

我正在使用WSL(Windows子系统Linux)Ubuntu 22.04.2。我不确定这是否会产生影响。
我认为Xformer警告可以忽略，但我不确定当前的错误是由于我在使用您提供的方法时犯了任何错误。我对Git不太熟悉，为此表示歉意。
请帮助我解决这个问题。

我明白了。这个错误可能是由于使用了WSL(Windows Subsystem for Linux)导致的。我不确定Gradio是否支持在WSL下运行。

好的，我明白了。我会尝试改变环境。非常感谢您的帮助！

我明白了。这个错误可能是由使用WSL引起的。我不确定WSL是否支持Gradio。
你好！@donglixp,感谢到目前为止你的所有帮助。我已经确认WSL支持Gradio。
当前的错误：

(kosmos) wendell@DESKTOP-3Q0HFJ3:~/unilm/kosmos-2$ bash run_gradio.sh
/home/wendell/anaconda3/envs/kosmos/lib/python3.9/site-packages/torch/distributed/launch.py:180: FutureWarning: The module torch.distributed.launch is deprecated
and will be removed in future. Use torchrun.
Note that --use_env is set by default in torchrun.
If your script expects `--local_rank` argument to be set, please
change it to read from `os.environ['LOCAL_RANK']` instead. See 
https://pytorch.org/docs/stable/distributed.html#launch-utility for 
further instructions

  warnings.warn(
Traceback (most recent call last):
  File "/home/wendell/unilm/kosmos-2/demo/gradio_app.py", line 12, in <module>
    import unilm
  File "/home/wendell/unilm/kosmos-2/./unilm/__init__.py", line 1, in <module>
    import unilm.models
  File "/home/wendell/unilm/kosmos-2/./unilm/models/__init__.py", line 6, in <module>
    import_models(models_dir, "unilm.models")
  File "/home/wendell/anaconda3/envs/kosmos/lib/python3.9/site-packages/fairseq/models/__init__.py", line 217, in import_models
    importlib.import_module(namespace + "." + model_name)
  File "/home/wendell/anaconda3/envs/kosmos/lib/python3.9/importlib/__init__.py", line 127, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "/home/wendell/unilm/kosmos-2/./unilm/models/gpt_eval.py", line 39, in <module>
    from torchscale.architecture.decoder import Decoder
  File "/home/wendell/anaconda3/envs/kosmos/lib/python3.9/site-packages/torchscale/architecture/decoder.py", line 12, in <module>
    from torchscale.architecture.utils import init_bert_params
  File "/home/wendell/anaconda3/envs/kosmos/lib/python3.9/site-packages/torchscale/architecture/utils.py", line 6, in <module>
    from torchscale.component.multihead_attention import MultiheadAttention
  File "/home/wendell/anaconda3/envs/kosmos/lib/python3.9/site-packages/torchscale/component/multihead_attention.py", line 12, in <module>
    from xformers.ops import memory_efficient_attention, LowerTriangularMask, MemoryEfficientAttentionCutlassOp
ModuleNotFoundError: No module named 'xformers'
ERROR:torch.distributed.elastic.multiprocessing.api:failed (exitcode: 1) local_rank: 0 (pid: 445686) of binary: /home/wendell/anaconda3/envs/kosmos/bin/python
Traceback (most recent call last):
  File "/home/wendell/anaconda3/envs/kosmos/lib/python3.9/runpy.py", line 197, in _run_module_as_main
    return _run_code(code, main_globals, None,
  File "/home/wendell/anaconda3/envs/kosmos/lib/python3.9/runpy.py", line 87, in _run_code
    exec(code, run_globals)
  File "/home/wendell/anaconda3/envs/kosmos/lib/python3.9/site-packages/torch/distributed/launch.py", line 195, in <module>
    main()
  File "/home/wendell/anaconda3/envs/kosmos/lib/python3.9/site-packages/torch/distributed/launch.py", line 191, in main
    launch(args)
  File "/home/wendell/anaconda3/envs/kosmos/lib/python3.9/site-packages/torch/distributed/launch.py", line 176, in launch
    run(args)
  File "/home/wendell/anaconda3/envs/kosmos/lib/python3.9/site-packages/torch/distributed/run.py", line 753, in run
    elastic_launch(
  File "/home/wendell/anaconda3/envs/kosmos/lib/python3.9/site-packages/torch/distributed/launcher/api.py", line 132, in __call__
    return launch_agent(self._config, self._entrypoint, list(args))
  File "/home/wendell/anaconda3/envs/kosmos/lib/python3.9/site-packages/torch/distributed/launcher/api.py", line 246, in launch_agent
    raise ChildFailedError(
torch.distributed.elastic.multiprocessing.errors.ChildFailedError: 
============================================================
demo/gradio_app.py FAILED
------------------------------------------------------------
Failures:
  <NO_OTHER_FAILURES>
------------------------------------------------------------
Root Cause (first observed failure):
[0]:
  time      : 2023-10-23_22:58:01
  host      : DESKTOP-3Q0HFJ3.
  rank      : 0 (local_rank: 0)
  exitcode  : 1 (pid: 445686)
  error_file: <N/A>
  traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html
============================================================

from xformers.ops import memory_efficient_attention, LowerTriangularMask, MemoryEfficientAttentionCutlassOp
ModuleNotFoundError: No module named 'xformers'

我有xformer,但它目前是1.0.1版本

如果你能帮忙，请告诉我。谢谢！

我调整了xformer的版本。当前错误：

/home/wendell/anaconda3/envs/kosmos/lib/python3.9/site-packages/torch/distributed/launch.py:180: FutureWarning: The module torch.distributed.launch is deprecated
and will be removed in future. Use torchrun.
Note that --use_env is set by default in torchrun.
If your script expects `--local_rank` argument to be set, please
change it to read from `os.environ['LOCAL_RANK']` instead. See 
https://pytorch.org/docs/stable/distributed.html#launch-utility for 
further instructions

  warnings.warn(
Traceback (most recent call last):
  File "/home/wendell/unilm/kosmos-2/demo/gradio_app.py", line 12, in <module>
    import unilm
  File "/home/wendell/unilm/kosmos-2/./unilm/__init__.py", line 3, in <module>
    import unilm.tasks
  File "/home/wendell/unilm/kosmos-2/./unilm/tasks/__init__.py", line 7, in <module>
    import_tasks(tasks_dir, "unilm.tasks")
  File "/home/wendell/anaconda3/envs/kosmos/lib/python3.9/site-packages/fairseq/tasks/__init__.py", line 117, in import_tasks
    importlib.import_module(namespace + "." + task_name)
  File "/home/wendell/anaconda3/envs/kosmos/lib/python3.9/importlib/__init__.py", line 127, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "/home/wendell/unilm/kosmos-2/./unilm/tasks/generation_obj.py", line 33, in <module>
    from unilm.data.utils import SPECIAL_SYMBOLS, add_location_symbols
  File "/home/wendell/unilm/kosmos-2/./unilm/data/utils.py", line 8, in <module>
    from infinibatch import iterators
ImportError: cannot import name 'iterators' from 'infinibatch' (unknown location)
ERROR:torch.distributed.elastic.multiprocessing.api:failed (exitcode: 1) local_rank: 0 (pid: 648380) of binary: /home/wendell/anaconda3/envs/kosmos/bin/python
Traceback (most recent call last):
  File "/home/wendell/anaconda3/envs/kosmos/lib/python3.9/runpy.py", line 197, in _run_module_as_main
    return _run_code(code, main_globals, None,
  File "/home/wendell/anaconda3/envs/kosmos/lib/python3.9/runpy.py", line 87, in _run_code
    exec(code, run_globals)
  File "/home/wendell/anaconda3/envs/kosmos/lib/python3.9/site-packages/torch/distributed/launch.py", line 195, in <module>
    main()
  File "/home/wendell/anaconda3/envs/kosmos/lib/python3.9/site-packages/torch/distributed/launch.py", line 191, in main
    launch(args)
  File "/home/wendell/anaconda3/envs/kosmos/lib/python3.9/site-packages/torch/distributed/launch.py", line 176, in launch
    run(args)
  File "/home/wendell/anaconda3/envs/kosmos/lib/python3.9/site-packages/torch/distributed/run.py", line 753, in run
    elastic_launch(
  File "/home/wendell/anaconda3/envs/kosmos/lib/python3.9/site-packages/torch/distributed/launcher/api.py", line 132, in __call__
    return launch_agent(self._config, self._entrypoint, list(args))
  File "/home/wendell/anaconda3/envs/kosmos/lib/python3.9/site-packages/torch/distributed/launcher/api.py", line 246, in launch_agent
    raise ChildFailedError(
torch.distributed.elastic.multiprocessing.errors.ChildFailedError: 
============================================================
demo/gradio_app.py FAILED
------------------------------------------------------------
Failures:
  <NO_OTHER_FAILURES>
------------------------------------------------------------
Root Cause (first observed failure):
[0]:
  time      : 2023-10-24_08:00:09
  host      : DESKTOP-3Q0HFJ3.
  rank      : 0 (local_rank: 0)
  exitcode  : 1 (pid: 648380)
  error_file: <N/A>
  traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html
============================================================

有人解决了上一个错误吗？