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torchao-int4wo-128-sdpa,pytorch,2.5.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,bloom,bigscience/bloomz-560m,bigscience/bloomz-560m,cuda,0,42,,,True,True,,bfloat16,True,False,,sdpa,,False,,False,forward,torchao,int4_weight_only,128,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.248768,Linux,x86_64,Linux-5.10.228-219.884.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0.dev0,,4.47.0,,1.2.0,,,,1.23.3,,,,0.14.0,,False,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 148, 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 72, in load
    self.load_transformers_model()
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 152, 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 134, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 86, in load_transformers_model_from_pretrained
    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 4124, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1597, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1795, 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"")`

"
torchao-int4wo-128-flash_attention_2,pytorch,2.5.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,bloom,bigscience/bloomz-560m,bigscience/bloomz-560m,cuda,0,42,,,True,True,,bfloat16,True,False,,flash_attention_2,,False,,False,forward,torchao,int4_weight_only,128,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.248768,Linux,x86_64,Linux-5.10.228-219.884.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0.dev0,,4.47.0,,1.2.0,,,,1.23.3,,,,0.14.0,,False,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 148, 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 72, in load
    self.load_transformers_model()
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 152, 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 134, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 86, in load_transformers_model_from_pretrained
    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 4124, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1586, in _autoset_attn_implementation
    cls._check_and_enable_flash_attn_2(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1707, in _check_and_enable_flash_attn_2
    raise ValueError(
ValueError: BloomForCausalLM does not support Flash Attention 2.0 yet. Please request to add support where the model is hosted, on its model hub page: https://huggingface.co//tmp/tmp0fxixfj2/no_weights_model/discussions/new or in the Transformers GitHub repo: https://github.com/huggingface/transformers/issues/new

"
torchao-int4wo-128-flash_attention_2,pytorch,2.5.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gemma2,google/gemma-2-2b,google/gemma-2-2b,cuda,0,42,,,True,True,,bfloat16,True,False,,flash_attention_2,,False,,False,forward,torchao,int4_weight_only,128,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.248768,Linux,x86_64,Linux-5.10.228-219.884.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0.dev0,,4.47.0,,1.2.0,,,,1.23.3,,,,0.14.0,,False,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 148, 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 136, in run
    self.warmup_text_generation()
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/scenarios/inference/scenario.py"", line 196, in warmup_text_generation
    self.backend.generate(self.inputs, self.config.generate_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 446, in generate
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2252, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3251, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1736, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1747, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gemma2/modeling_gemma2.py"", line 977, in forward
    outputs = self.model(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1736, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1747, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gemma2/modeling_gemma2.py"", line 763, in forward
    layer_outputs = decoder_layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1736, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1747, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gemma2/modeling_gemma2.py"", line 479, in forward
    hidden_states, self_attn_weights, present_key_value = self.self_attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1736, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1747, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gemma2/modeling_gemma2.py"", line 402, in forward
    attn_output, attn_weights = GEMMA2_ATTENTION_FUNCTION[attention_type](
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gemma2/modeling_gemma2.py"", line 239, in flash_attention_forward
    use_top_left_mask=config._flash_attn_uses_top_left_mask,
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1931, in __getattr__
    raise AttributeError(
AttributeError: 'Gemma2Attention' object has no attribute '_flash_attn_uses_top_left_mask'

"
torchao-int4wo-128-sdpa,pytorch,2.5.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gemma2,google/gemma-2-2b,google/gemma-2-2b,cuda,0,42,,,True,True,,bfloat16,True,False,,sdpa,,False,,False,forward,torchao,int4_weight_only,128,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.248768,Linux,x86_64,Linux-5.10.228-219.884.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0.dev0,,4.47.0,,1.2.0,,,,1.23.3,,,,0.14.0,,False,True,MB,908.673024,6028.787712,0.0,5435.817984,5229.745664,s,[1.860115478515625],1,1.860115478515625,1.860115478515625,1.860115478515625,1.860115478515625,1.860115478515625,1.860115478515625,0,0,,kWh,0.00010604519484930552,5.810067481717069e-05,0.0001443259487940024,0.0003084718184604786,,MB,1644.064768,6173.4912,0.0,5519.704064,5293.213696,s,"[0.0436399040222168, 0.043418560028076175, 0.043294239044189456, 0.044179359436035154, 0.042848480224609374, 0.04444153594970703, 0.04300457763671875, 0.04277056121826172, 0.04461398315429688, 0.044086433410644534]",10,0.43629763412475586,0.04362976341247558,0.04352923202514648,0.044458780670166016,0.04453638191223145,0.04459846290588379,0.000635219790024567,1.455932236027049,samples/s,22.920133454449537,kWh,5.102214253053155e-07,2.7956075944869897e-07,1.6697127821293115e-06,2.4594949668833254e-06,samples/kWh,406587.5366548121,MB,1644.064768,6173.4912,0.0,5519.704064,5293.213696,s,"[2.60956640625, 2.58225048828125, 2.60946142578125, 2.579695556640625, 2.603146728515625, 2.63346044921875, 2.579123291015625, 2.624309814453125, 2.638640869140625, 2.642593017578125]",10,26.102248046875,2.6102248046875003,2.609513916015625,2.639036083984375,2.6408145507812497,2.64223732421875,0.02307915405112511,0.8841826194310561,tokens/s,24.135852163715242,kWh,3.0480557194555936e-05,1.6704147461577862e-05,6.830748208847078e-05,0.0001154921867446046,tokens/kWh,545491.4464414463,,s,"[0.04016742324829101, 0.04091289520263672, 0.04155801773071289, 0.04170035171508789, 0.041657344818115234, 0.04151091384887695, 0.04127644729614258, 0.04177814483642578, 0.0420843505859375, 0.04175872039794922, 0.04172288131713867, 0.04348518371582031, 0.04177203369140625, 0.04133478546142578, 0.041621505737304686, 0.04139212799072266, 0.04160921478271484, 0.040304702758789064, 0.04185286331176758, 0.04088627243041992, 0.041673728942871094, 0.04163686370849609, 0.041373695373535156, 0.041047039031982424, 0.041323585510253905, 0.041444286346435544, 0.04138700866699219, 0.04084326553344726, 0.041390079498291016, 0.04147814559936523, 0.041366527557373044, 0.04162252807617187, 0.04142182540893555, 0.04159897613525391, 0.04141670227050781, 0.041543678283691404, 0.04141260910034179, 0.040668159484863284, 0.04125491333007812, 0.04141567993164062, 0.0414832649230957, 0.040635391235351564, 0.041559040069580076, 0.041629695892333986, 0.04153139114379883, 0.0416102409362793, 0.04130508804321289, 0.041283584594726565, 0.04132147216796875, 0.04026675033569336, 0.0413829116821289, 0.04062822341918945, 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