text_to_image facing authentication issue

[willamloo3192]

user@user:~/CM/repos/local/cache/24889d8c0a934aec/inference/text_to_image/tools$ cd $SD_FOLDER
python3 main.py --dataset "coco-1024" --dataset-path coco2014 --profile stable-diffusion-xl-pytorch --model-path model/ --dtype fp32 --device cuda --time 60 --scenario Offline
/home/user/.local/lib/python3.10/site-packages/transformers/utils/generic.py:311: UserWarning: torch.utils._pytree._register_pytree_node is deprecated. Please use torch.utils._pytree.register_pytree_node instead.
  torch.utils._pytree._register_pytree_node(
INFO:main:Namespace(dataset='coco-1024', dataset_path='coco2014', profile='stable-diffusion-xl-pytorch', scenario='Offline', max_batchsize=1, threads=1, accuracy=False, find_peak_performance=False, backend='pytorch', model_name='stable-diffusion-xl', output='output', qps=None, model_path='model/', dtype='fp32', device='cuda', latent_framework='torch', mlperf_conf='mlperf.conf', user_conf='user.conf', audit_conf='audit.config', ids_path='tools/sample_ids.txt', time=60, count=None, debug=False, performance_sample_count=5000, max_latency=None, samples_per_query=8)
2024-03-05 10:10:11.496538: I tensorflow/core/util/port.cc:113] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2024-03-05 10:10:11.519305: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
2024-03-05 10:10:11.519337: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
2024-03-05 10:10:11.520013: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
2024-03-05 10:10:11.523784: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
2024-03-05 10:10:12.003218: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
/home/user/.local/lib/python3.10/site-packages/transformers/utils/generic.py:311: UserWarning: torch.utils._pytree._register_pytree_node is deprecated. Please use torch.utils._pytree.register_pytree_node instead.
  torch.utils._pytree._register_pytree_node(
Traceback (most recent call last):
  File "/home/user/.local/lib/python3.10/site-packages/huggingface_hub/utils/_errors.py", line 286, in hf_raise_for_status
    response.raise_for_status()
  File "/usr/lib/python3/dist-packages/requests/models.py", line 943, in raise_for_status
    raise HTTPError(http_error_msg, response=self)
requests.exceptions.HTTPError: 401 Client Error: Unauthorized for url: https://huggingface.co/model/checkpoint_scheduler/resolve/main/scheduler/scheduler_config.json

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "/home/user/.local/lib/python3.10/site-packages/diffusers/configuration_utils.py", line 370, in load_config
    config_file = hf_hub_download(
  File "/home/user/.local/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 118, in _inner_fn
    return fn(*args, **kwargs)
  File "/home/user/.local/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 1368, in hf_hub_download
    raise head_call_error
  File "/home/user/.local/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 1238, in hf_hub_download
    metadata = get_hf_file_metadata(
  File "/home/user/.local/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 118, in _inner_fn
    return fn(*args, **kwargs)
  File "/home/user/.local/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 1631, in get_hf_file_metadata
    r = _request_wrapper(
  File "/home/user/.local/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 385, in _request_wrapper
    response = _request_wrapper(
  File "/home/user/.local/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 409, in _request_wrapper
    hf_raise_for_status(response)
  File "/home/user/.local/lib/python3.10/site-packages/huggingface_hub/utils/_errors.py", line 323, in hf_raise_for_status
    raise RepositoryNotFoundError(message, response) from e
huggingface_hub.utils._errors.RepositoryNotFoundError: 401 Client Error. (Request ID: Root=1-65e67ef5-60d968075bc687717d1cc549;6c927b6f-27c3-4f00-b6f1-7775e83d2fc4)

Repository Not Found for url: https://huggingface.co/model/checkpoint_scheduler/resolve/main/scheduler/scheduler_config.json.
Please make sure you specified the correct `repo_id` and `repo_type`.
If you are trying to access a private or gated repo, make sure you are authenticated.
Invalid username or password.

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/home/user/CM/repos/local/cache/24889d8c0a934aec/inference/text_to_image/main.py", line 498, in <module>
    main()
  File "/home/user/CM/repos/local/cache/24889d8c0a934aec/inference/text_to_image/main.py", line 344, in main
    model = backend.load()
  File "/home/user/CM/repos/local/cache/24889d8c0a934aec/inference/text_to_image/backend_pytorch.py", line 78, in load
    self.scheduler = EulerDiscreteScheduler.from_pretrained(
  File "/home/user/.local/lib/python3.10/site-packages/diffusers/schedulers/scheduling_utils.py", line 140, in from_pretrained
    config, kwargs, commit_hash = cls.load_config(
  File "/home/user/.local/lib/python3.10/site-packages/diffusers/configuration_utils.py", line 384, in load_config
    raise EnvironmentError(
OSError: model/checkpoint_scheduler is not a local folder and is not a valid model identifier listed on 'https://huggingface.co/models'
If this is a private repository, make sure to pass a token having permission to this repo with `use_auth_token` or log in with `huggingface-cli login`.

[gfursin]

Not to forget related ticket at inference: mlcommons/inference#1659