Traceback (most recent call last):
  File "/llm-perf-backend/llm_perf/common/benchmark_runner.py", line 297, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File "/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py", line 51, in launch
    report = launcher.launch(worker=Benchmark.run, worker_args=[config])
  File "/usr/local/lib/python3.10/dist-packages/optimum_benchmark/launchers/process/launcher.py", line 66, in launch
    raise ChildProcessError(response["traceback"])
ChildProcessError: Traceback (most recent call last):
  File "/usr/local/lib/python3.10/dist-packages/optimum_benchmark/launchers/process/launcher.py", line 103, in target
    report = worker(*worker_args)
  File "/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py", line 78, in run
    report = scenario.run(backend)
  File "/usr/local/lib/python3.10/dist-packages/optimum_benchmark/scenarios/inference/scenario.py", line 129, in run
    self.run_model_loading_tracking()
  File "/usr/local/lib/python3.10/dist-packages/optimum_benchmark/scenarios/inference/scenario.py", line 184, in run_model_loading_tracking
    self.backend.load()
  File "/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py", line 69, in load
    self.load_transformers_model()
  File "/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py", line 149, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File "/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py", line 124, in load_transformers_model_with_no_weights
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File "/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py", line 564, in from_pretrained
    return model_class.from_pretrained(
  File "/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py", line 3826, in from_pretrained
    config = cls._autoset_attn_implementation(
  File "/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py", line 1565, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File "/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py", line 1731, in _check_and_enable_sdpa
    raise ValueError(
ValueError: BloomForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation="eager"` meanwhile. Example: `model = AutoModel.from_pretrained("openai/whisper-tiny", attn_implementation="eager")`

