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float16-sdpa,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,Deci/DeciCoder-1b,transformers,cuda,0,42,,,,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,spawn, AMD EPYC 7742 64-Core Processor,128,540671.627264,Linux,x86_64,Linux-5.4.0-166-generic-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A100-SXM4-80GB'],1,85899345920,0.2.1,3472c3c26a4300172ffbf774f32fe5b2b47f98a5,4.40.2,,0.30.1,,,,1.19.2,,,,0.11.0,,False,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Deci/DeciCoder-1b,True,True,"Traceback (most recent call last):
  File ""/optimum-benchmark/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/optimum-benchmark/optimum_benchmark/base.py"", line 43, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/optimum-benchmark/optimum_benchmark/launchers/process/launcher.py"", line 54, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/optimum-benchmark/optimum_benchmark/launchers/process/launcher.py"", line 87, in target
    report = worker(*worker_args)
  File ""/optimum-benchmark/optimum_benchmark/base.py"", line 64, in run
    report = scenario.run(backend)
  File ""/optimum-benchmark/optimum_benchmark/scenarios/inference/scenario.py"", line 117, in run
    _ = backend.generate(self.inputs, self.config.generate_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 115, in decorate_context
    return func(*args, **kwargs)
  File ""/optimum-benchmark/optimum_benchmark/backends/pytorch/backend.py"", line 369, in generate
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 115, in decorate_context
    return func(*args, **kwargs)
  File ""/home/user/.local/lib/python3.10/site-packages/transformers/generation/utils.py"", line 1576, in generate
    result = self._greedy_search(
  File ""/home/user/.local/lib/python3.10/site-packages/transformers/generation/utils.py"", line 2494, in _greedy_search
    outputs = self(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1532, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1541, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/home/user/.local/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py"", line 1211, in forward
    outputs = self.model(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1532, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1541, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/home/user/.local/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py"", line 1018, in forward
    layer_outputs = decoder_layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1532, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1541, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/home/user/.local/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py"", line 741, 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 1532, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1541, in _call_impl
    return forward_call(*args, **kwargs)
TypeError: DeciCoderAttention.forward() got an unexpected keyword argument 'cache_position'

"
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float16-sdpa,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,Deci/DeciLM-7B,transformers,cuda,0,42,,,,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,spawn, AMD EPYC 7742 64-Core Processor,128,540671.627264,Linux,x86_64,Linux-5.4.0-166-generic-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A100-SXM4-80GB'],1,85899345920,0.2.1,3472c3c26a4300172ffbf774f32fe5b2b47f98a5,4.40.2,,0.30.1,,,,1.19.2,,,,0.11.0,,False,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Deci/DeciLM-7B,True,True,"Traceback (most recent call last):
  File ""/optimum-benchmark/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/optimum-benchmark/optimum_benchmark/base.py"", line 43, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/optimum-benchmark/optimum_benchmark/launchers/process/launcher.py"", line 54, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/optimum-benchmark/optimum_benchmark/launchers/process/launcher.py"", line 87, in target
    report = worker(*worker_args)
  File ""/optimum-benchmark/optimum_benchmark/base.py"", line 56, in run
    backend: Backend = backend_factory(backend_config)
  File ""/optimum-benchmark/optimum_benchmark/backends/pytorch/backend.py"", line 79, in __init__
    self.load_model_with_no_weights()
  File ""/optimum-benchmark/optimum_benchmark/backends/pytorch/backend.py"", line 247, in load_model_with_no_weights
    self.pretrained_model = self.automodel_class.from_pretrained(
  File ""/home/user/.local/lib/python3.10/site-packages/transformers/models/auto/auto_factory.py"", line 558, in from_pretrained
    return model_class.from_pretrained(
  File ""/home/user/.local/lib/python3.10/site-packages/transformers/modeling_utils.py"", line 3544, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/home/user/.local/lib/python3.10/site-packages/transformers/modeling_utils.py"", line 1463, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/home/user/.local/lib/python3.10/site-packages/transformers/modeling_utils.py"", line 1619, in _check_and_enable_sdpa
    raise ValueError(
ValueError: DeciLMForCausalLM 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"")`

"
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float16-sdpa,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,EleutherAI/pythia-12b,transformers,cuda,0,42,,,,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,spawn, AMD EPYC 7742 64-Core Processor,128,540671.627264,Linux,x86_64,Linux-5.4.0-166-generic-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A100-SXM4-80GB'],1,85899345920,0.2.1,3472c3c26a4300172ffbf774f32fe5b2b47f98a5,4.40.2,,0.30.1,,,,1.19.2,,,,0.11.0,,False,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,EleutherAI/pythia-12b,True,True,"Traceback (most recent call last):
  File ""/optimum-benchmark/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/optimum-benchmark/optimum_benchmark/base.py"", line 43, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/optimum-benchmark/optimum_benchmark/launchers/process/launcher.py"", line 54, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/optimum-benchmark/optimum_benchmark/launchers/process/launcher.py"", line 87, in target
    report = worker(*worker_args)
  File ""/optimum-benchmark/optimum_benchmark/base.py"", line 56, in run
    backend: Backend = backend_factory(backend_config)
  File ""/optimum-benchmark/optimum_benchmark/backends/pytorch/backend.py"", line 79, in __init__
    self.load_model_with_no_weights()
  File ""/optimum-benchmark/optimum_benchmark/backends/pytorch/backend.py"", line 247, in load_model_with_no_weights
    self.pretrained_model = self.automodel_class.from_pretrained(
  File ""/home/user/.local/lib/python3.10/site-packages/transformers/models/auto/auto_factory.py"", line 563, in from_pretrained
    return model_class.from_pretrained(
  File ""/home/user/.local/lib/python3.10/site-packages/transformers/modeling_utils.py"", line 3544, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/home/user/.local/lib/python3.10/site-packages/transformers/modeling_utils.py"", line 1463, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/home/user/.local/lib/python3.10/site-packages/transformers/modeling_utils.py"", line 1619, in _check_and_enable_sdpa
    raise ValueError(
ValueError: GPTNeoXForCausalLM 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"")`

"
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float16-sdpa,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,EleutherAI/pythia-1.4b,transformers,cuda,0,42,,,,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,spawn, AMD EPYC 7742 64-Core Processor,128,540671.627264,Linux,x86_64,Linux-5.4.0-166-generic-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A100-SXM4-80GB'],1,85899345920,0.2.1,3472c3c26a4300172ffbf774f32fe5b2b47f98a5,4.40.2,,0.30.1,,,,1.19.2,,,,0.11.0,,False,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,EleutherAI/pythia-1.4b,True,True,"Traceback (most recent call last):
  File ""/optimum-benchmark/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/optimum-benchmark/optimum_benchmark/base.py"", line 43, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/optimum-benchmark/optimum_benchmark/launchers/process/launcher.py"", line 54, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/optimum-benchmark/optimum_benchmark/launchers/process/launcher.py"", line 87, in target
    report = worker(*worker_args)
  File ""/optimum-benchmark/optimum_benchmark/base.py"", line 56, in run
    backend: Backend = backend_factory(backend_config)
  File ""/optimum-benchmark/optimum_benchmark/backends/pytorch/backend.py"", line 79, in __init__
    self.load_model_with_no_weights()
  File ""/optimum-benchmark/optimum_benchmark/backends/pytorch/backend.py"", line 247, in load_model_with_no_weights
    self.pretrained_model = self.automodel_class.from_pretrained(
  File ""/home/user/.local/lib/python3.10/site-packages/transformers/models/auto/auto_factory.py"", line 563, in from_pretrained
    return model_class.from_pretrained(
  File ""/home/user/.local/lib/python3.10/site-packages/transformers/modeling_utils.py"", line 3544, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/home/user/.local/lib/python3.10/site-packages/transformers/modeling_utils.py"", line 1463, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/home/user/.local/lib/python3.10/site-packages/transformers/modeling_utils.py"", line 1619, in _check_and_enable_sdpa
    raise ValueError(
ValueError: GPTNeoXForCausalLM 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"")`

"
float32-eager,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,Salesforce/codegen-6B-nl,transformers,cuda,0,42,,,main,False,False,True,True,,float32,True,False,,eager,,False,,False,forward,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,spawn, AMD EPYC 7742 64-Core Processor,128,540671.627264,Linux,x86_64,Linux-5.4.0-166-generic-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A100-SXM4-80GB'],1,85899345920,0.2.0,363fe5957353e2c3240e7cc867d695a4459c90d4,4.40.2,,0.30.1,,,,1.19.2,,,,0.10.0,,False,True,MB,1173.970944,30614.224896,29687.283712,29162.995712,28781.82656,s,"[0.26399822998046873, 0.2591653137207031, 0.26251724243164065, 0.25888699340820315, 0.25927914428710935, 0.2590910339355469, 0.25720639038085935, 0.25930233764648436, 0.25893722534179686, 0.2590337219238281]",10,2.597417633056641,0.2597417633056641,0.25912817382812503,0.26266534118652346,0.26333178558349607,0.2638649411010742,0.0018785898545184677,0.0018785898545184677,tokens/s,985.5942946638858,kWh,8.2536314924558e-06,1.375956127518586e-05,1.993939629184565e-05,4.1952589059487306e-05,tokens/kWh,6102126.370246206,MB,1173.970944,30614.224896,29687.283712,29162.995712,29113.25696,s,"[2.07028125, 2.047735595703125, 2.0483134765625, 2.0296162109375, 2.0343028564453123, 2.05456591796875, 2.0268526611328124, 2.019383544921875, 2.04296630859375, 2.02410205078125]",10,20.398119873046873,2.039811987304687,2.0386345825195313,2.056137451171875,2.0632093505859372,2.0688668701171875,0.0150247627230044,0.0150247627230044,tokens/s,30.88519941646449,kWh,6.49533251921336e-05,0.00010740507301978715,0.00014839543282053641,0.0003207538310324572,tokens/kWh,196412.30721146087,,s,"[0.03361075210571289, 0.03377664184570312, 0.03356159973144531, 0.03399270248413086, 0.03401318359375, 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float32-eager,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,01-ai/Yi-34B,transformers,cuda,0,42,,,,,,True,True,,float32,True,False,,eager,,False,,False,forward,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,spawn, AMD EPYC 7742 64-Core Processor,128,540671.627264,Linux,x86_64,Linux-5.4.0-166-generic-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A100-SXM4-80GB'],1,85899345920,0.2.1,a85476b58d1b148eb9b8674963f6102e424e73b5,4.40.2,,0.30.1,,,,1.19.2,,,,0.11.0,,False,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,01-ai/Yi-34B,True,True,"Traceback (most recent call last):
  File ""/optimum-benchmark/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/optimum-benchmark/optimum_benchmark/base.py"", line 43, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/optimum-benchmark/optimum_benchmark/launchers/process/launcher.py"", line 54, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/optimum-benchmark/optimum_benchmark/launchers/process/launcher.py"", line 87, in target
    report = worker(*worker_args)
  File ""/optimum-benchmark/optimum_benchmark/base.py"", line 56, in run
    backend: Backend = backend_factory(backend_config)
  File ""/optimum-benchmark/optimum_benchmark/backends/pytorch/backend.py"", line 79, in __init__
    self.load_model_with_no_weights()
  File ""/optimum-benchmark/optimum_benchmark/backends/pytorch/backend.py"", line 247, in load_model_with_no_weights
    self.pretrained_model = self.automodel_class.from_pretrained(
  File ""/home/user/.local/lib/python3.10/site-packages/transformers/models/auto/auto_factory.py"", line 563, in from_pretrained
    return model_class.from_pretrained(
  File ""/home/user/.local/lib/python3.10/site-packages/transformers/modeling_utils.py"", line 3550, in from_pretrained
    model = cls(config, *model_args, **model_kwargs)
  File ""/home/user/.local/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py"", line 1138, in __init__
    self.model = LlamaModel(config)
  File ""/home/user/.local/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py"", line 927, in __init__
    [LlamaDecoderLayer(config, layer_idx) for layer_idx in range(config.num_hidden_layers)]
  File ""/home/user/.local/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py"", line 927, in <listcomp>
    [LlamaDecoderLayer(config, layer_idx) for layer_idx in range(config.num_hidden_layers)]
  File ""/home/user/.local/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py"", line 702, in __init__
    self.mlp = LlamaMLP(config)
  File ""/home/user/.local/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py"", line 219, in __init__
    self.down_proj = nn.Linear(self.intermediate_size, self.hidden_size, bias=False)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/linear.py"", line 98, in __init__
    self.weight = Parameter(torch.empty((out_features, in_features), **factory_kwargs))
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_device.py"", line 78, in __torch_function__
    return func(*args, **kwargs)
torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 560.00 MiB. GPU 

"
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float32-eager,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,Deci/DeciCoder-1b,transformers,cuda,0,42,,,,,,True,True,,float32,True,False,,eager,,False,,False,forward,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,spawn, AMD EPYC 7742 64-Core Processor,128,540671.627264,Linux,x86_64,Linux-5.4.0-166-generic-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A100-SXM4-80GB'],1,85899345920,0.2.1,3472c3c26a4300172ffbf774f32fe5b2b47f98a5,4.40.2,,0.30.1,,,,1.19.2,,,,0.11.0,,False,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Deci/DeciCoder-1b,True,True,"Traceback (most recent call last):
  File ""/optimum-benchmark/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/optimum-benchmark/optimum_benchmark/base.py"", line 43, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/optimum-benchmark/optimum_benchmark/launchers/process/launcher.py"", line 54, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/optimum-benchmark/optimum_benchmark/launchers/process/launcher.py"", line 87, in target
    report = worker(*worker_args)
  File ""/optimum-benchmark/optimum_benchmark/base.py"", line 64, in run
    report = scenario.run(backend)
  File ""/optimum-benchmark/optimum_benchmark/scenarios/inference/scenario.py"", line 117, in run
    _ = backend.generate(self.inputs, self.config.generate_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 115, in decorate_context
    return func(*args, **kwargs)
  File ""/optimum-benchmark/optimum_benchmark/backends/pytorch/backend.py"", line 369, in generate
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 115, in decorate_context
    return func(*args, **kwargs)
  File ""/home/user/.local/lib/python3.10/site-packages/transformers/generation/utils.py"", line 1576, in generate
    result = self._greedy_search(
  File ""/home/user/.local/lib/python3.10/site-packages/transformers/generation/utils.py"", line 2494, in _greedy_search
    outputs = self(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1532, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1541, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/home/user/.local/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py"", line 1211, in forward
    outputs = self.model(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1532, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1541, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/home/user/.local/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py"", line 1018, in forward
    layer_outputs = decoder_layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1532, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1541, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/home/user/.local/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py"", line 741, 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 1532, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1541, in _call_impl
    return forward_call(*args, **kwargs)
TypeError: DeciCoderAttention.forward() got an unexpected keyword argument 'cache_position'

"
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float16-flash_attention_2,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,Deci/DeciCoder-1b,transformers,cuda,0,42,,,,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,spawn, AMD EPYC 7742 64-Core Processor,128,540671.627264,Linux,x86_64,Linux-5.4.0-166-generic-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A100-SXM4-80GB'],1,85899345920,0.2.1,3472c3c26a4300172ffbf774f32fe5b2b47f98a5,4.40.2,,0.30.1,,,,1.19.2,,,,0.11.0,,False,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Deci/DeciCoder-1b,True,True,"Traceback (most recent call last):
  File ""/optimum-benchmark/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/optimum-benchmark/optimum_benchmark/base.py"", line 43, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/optimum-benchmark/optimum_benchmark/launchers/process/launcher.py"", line 54, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/optimum-benchmark/optimum_benchmark/launchers/process/launcher.py"", line 87, in target
    report = worker(*worker_args)
  File ""/optimum-benchmark/optimum_benchmark/base.py"", line 64, in run
    report = scenario.run(backend)
  File ""/optimum-benchmark/optimum_benchmark/scenarios/inference/scenario.py"", line 117, in run
    _ = backend.generate(self.inputs, self.config.generate_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 115, in decorate_context
    return func(*args, **kwargs)
  File ""/optimum-benchmark/optimum_benchmark/backends/pytorch/backend.py"", line 369, in generate
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 115, in decorate_context
    return func(*args, **kwargs)
  File ""/home/user/.local/lib/python3.10/site-packages/transformers/generation/utils.py"", line 1576, in generate
    result = self._greedy_search(
  File ""/home/user/.local/lib/python3.10/site-packages/transformers/generation/utils.py"", line 2494, in _greedy_search
    outputs = self(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1532, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1541, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/home/user/.local/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py"", line 1211, in forward
    outputs = self.model(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1532, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1541, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/home/user/.local/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py"", line 1018, in forward
    layer_outputs = decoder_layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1532, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1541, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/home/user/.local/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py"", line 741, 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 1532, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1541, in _call_impl
    return forward_call(*args, **kwargs)
TypeError: DeciCoderAttention.forward() got an unexpected keyword argument 'cache_position'

"
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bfloat16-eager,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,Deci/DeciCoder-1b,transformers,cuda,0,42,,,,,,True,True,,bfloat16,True,False,,eager,,False,,False,forward,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,spawn, AMD EPYC 7742 64-Core Processor,128,540671.627264,Linux,x86_64,Linux-5.4.0-166-generic-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A100-SXM4-80GB'],1,85899345920,0.2.1,3472c3c26a4300172ffbf774f32fe5b2b47f98a5,4.40.2,,0.30.1,,,,1.19.2,,,,0.11.0,,False,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Deci/DeciCoder-1b,True,True,"Traceback (most recent call last):
  File ""/optimum-benchmark/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/optimum-benchmark/optimum_benchmark/base.py"", line 43, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/optimum-benchmark/optimum_benchmark/launchers/process/launcher.py"", line 54, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/optimum-benchmark/optimum_benchmark/launchers/process/launcher.py"", line 87, in target
    report = worker(*worker_args)
  File ""/optimum-benchmark/optimum_benchmark/base.py"", line 64, in run
    report = scenario.run(backend)
  File ""/optimum-benchmark/optimum_benchmark/scenarios/inference/scenario.py"", line 117, in run
    _ = backend.generate(self.inputs, self.config.generate_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 115, in decorate_context
    return func(*args, **kwargs)
  File ""/optimum-benchmark/optimum_benchmark/backends/pytorch/backend.py"", line 369, in generate
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 115, in decorate_context
    return func(*args, **kwargs)
  File ""/home/user/.local/lib/python3.10/site-packages/transformers/generation/utils.py"", line 1576, in generate
    result = self._greedy_search(
  File ""/home/user/.local/lib/python3.10/site-packages/transformers/generation/utils.py"", line 2494, in _greedy_search
    outputs = self(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1532, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1541, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/home/user/.local/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py"", line 1211, in forward
    outputs = self.model(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1532, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1541, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/home/user/.local/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py"", line 1018, in forward
    layer_outputs = decoder_layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1532, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1541, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/home/user/.local/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py"", line 741, 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 1532, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1541, in _call_impl
    return forward_call(*args, **kwargs)
TypeError: DeciCoderAttention.forward() got an unexpected keyword argument 'cache_position'

"
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bfloat16-sdpa,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,Deci/DeciCoder-1b,transformers,cuda,0,42,,,,,,True,True,,bfloat16,True,False,,sdpa,,False,,False,forward,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,spawn, AMD EPYC 7742 64-Core Processor,128,540671.627264,Linux,x86_64,Linux-5.4.0-166-generic-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A100-SXM4-80GB'],1,85899345920,0.2.1,3472c3c26a4300172ffbf774f32fe5b2b47f98a5,4.40.2,,0.30.1,,,,1.19.2,,,,0.11.0,,False,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Deci/DeciCoder-1b,True,True,"Traceback (most recent call last):
  File ""/optimum-benchmark/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/optimum-benchmark/optimum_benchmark/base.py"", line 43, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/optimum-benchmark/optimum_benchmark/launchers/process/launcher.py"", line 54, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/optimum-benchmark/optimum_benchmark/launchers/process/launcher.py"", line 87, in target
    report = worker(*worker_args)
  File ""/optimum-benchmark/optimum_benchmark/base.py"", line 64, in run
    report = scenario.run(backend)
  File ""/optimum-benchmark/optimum_benchmark/scenarios/inference/scenario.py"", line 117, in run
    _ = backend.generate(self.inputs, self.config.generate_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 115, in decorate_context
    return func(*args, **kwargs)
  File ""/optimum-benchmark/optimum_benchmark/backends/pytorch/backend.py"", line 369, in generate
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 115, in decorate_context
    return func(*args, **kwargs)
  File ""/home/user/.local/lib/python3.10/site-packages/transformers/generation/utils.py"", line 1576, in generate
    result = self._greedy_search(
  File ""/home/user/.local/lib/python3.10/site-packages/transformers/generation/utils.py"", line 2494, in _greedy_search
    outputs = self(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1532, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1541, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/home/user/.local/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py"", line 1211, in forward
    outputs = self.model(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1532, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1541, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/home/user/.local/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py"", line 1018, in forward
    layer_outputs = decoder_layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1532, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1541, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/home/user/.local/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py"", line 741, 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 1532, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1541, in _call_impl
    return forward_call(*args, **kwargs)
TypeError: DeciCoderAttention.forward() got an unexpected keyword argument 'cache_position'

"
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bfloat16-sdpa,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,Deci/DeciLM-7B,transformers,cuda,0,42,,,,,,True,True,,bfloat16,True,False,,sdpa,,False,,False,forward,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,spawn, AMD EPYC 7742 64-Core Processor,128,540671.627264,Linux,x86_64,Linux-5.4.0-166-generic-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A100-SXM4-80GB'],1,85899345920,0.2.1,3472c3c26a4300172ffbf774f32fe5b2b47f98a5,4.40.2,,0.30.1,,,,1.19.2,,,,0.11.0,,False,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Deci/DeciLM-7B,True,True,"Traceback (most recent call last):
  File ""/optimum-benchmark/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/optimum-benchmark/optimum_benchmark/base.py"", line 43, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/optimum-benchmark/optimum_benchmark/launchers/process/launcher.py"", line 54, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/optimum-benchmark/optimum_benchmark/launchers/process/launcher.py"", line 87, in target
    report = worker(*worker_args)
  File ""/optimum-benchmark/optimum_benchmark/base.py"", line 56, in run
    backend: Backend = backend_factory(backend_config)
  File ""/optimum-benchmark/optimum_benchmark/backends/pytorch/backend.py"", line 79, in __init__
    self.load_model_with_no_weights()
  File ""/optimum-benchmark/optimum_benchmark/backends/pytorch/backend.py"", line 247, in load_model_with_no_weights
    self.pretrained_model = self.automodel_class.from_pretrained(
  File ""/home/user/.local/lib/python3.10/site-packages/transformers/models/auto/auto_factory.py"", line 558, in from_pretrained
    return model_class.from_pretrained(
  File ""/home/user/.local/lib/python3.10/site-packages/transformers/modeling_utils.py"", line 3544, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/home/user/.local/lib/python3.10/site-packages/transformers/modeling_utils.py"", line 1463, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/home/user/.local/lib/python3.10/site-packages/transformers/modeling_utils.py"", line 1619, in _check_and_enable_sdpa
    raise ValueError(
ValueError: DeciLMForCausalLM 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"")`

"
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bfloat16-sdpa,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,EleutherAI/pythia-12b,transformers,cuda,0,42,,,,,,True,True,,bfloat16,True,False,,sdpa,,False,,False,forward,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,spawn, AMD EPYC 7742 64-Core Processor,128,540671.627264,Linux,x86_64,Linux-5.4.0-166-generic-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A100-SXM4-80GB'],1,85899345920,0.2.1,3472c3c26a4300172ffbf774f32fe5b2b47f98a5,4.40.2,,0.30.1,,,,1.19.2,,,,0.11.0,,False,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,EleutherAI/pythia-12b,True,True,"Traceback (most recent call last):
  File ""/optimum-benchmark/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/optimum-benchmark/optimum_benchmark/base.py"", line 43, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/optimum-benchmark/optimum_benchmark/launchers/process/launcher.py"", line 54, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/optimum-benchmark/optimum_benchmark/launchers/process/launcher.py"", line 87, in target
    report = worker(*worker_args)
  File ""/optimum-benchmark/optimum_benchmark/base.py"", line 56, in run
    backend: Backend = backend_factory(backend_config)
  File ""/optimum-benchmark/optimum_benchmark/backends/pytorch/backend.py"", line 79, in __init__
    self.load_model_with_no_weights()
  File ""/optimum-benchmark/optimum_benchmark/backends/pytorch/backend.py"", line 247, in load_model_with_no_weights
    self.pretrained_model = self.automodel_class.from_pretrained(
  File ""/home/user/.local/lib/python3.10/site-packages/transformers/models/auto/auto_factory.py"", line 563, in from_pretrained
    return model_class.from_pretrained(
  File ""/home/user/.local/lib/python3.10/site-packages/transformers/modeling_utils.py"", line 3544, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/home/user/.local/lib/python3.10/site-packages/transformers/modeling_utils.py"", line 1463, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/home/user/.local/lib/python3.10/site-packages/transformers/modeling_utils.py"", line 1619, in _check_and_enable_sdpa
    raise ValueError(
ValueError: GPTNeoXForCausalLM 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"")`

"
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bfloat16-sdpa,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,EleutherAI/pythia-1.4b,transformers,cuda,0,42,,,,,,True,True,,bfloat16,True,False,,sdpa,,False,,False,forward,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,spawn, AMD EPYC 7742 64-Core Processor,128,540671.627264,Linux,x86_64,Linux-5.4.0-166-generic-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A100-SXM4-80GB'],1,85899345920,0.2.1,3472c3c26a4300172ffbf774f32fe5b2b47f98a5,4.40.2,,0.30.1,,,,1.19.2,,,,0.11.0,,False,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,EleutherAI/pythia-1.4b,True,True,"Traceback (most recent call last):
  File ""/optimum-benchmark/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/optimum-benchmark/optimum_benchmark/base.py"", line 43, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/optimum-benchmark/optimum_benchmark/launchers/process/launcher.py"", line 54, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/optimum-benchmark/optimum_benchmark/launchers/process/launcher.py"", line 87, in target
    report = worker(*worker_args)
  File ""/optimum-benchmark/optimum_benchmark/base.py"", line 56, in run
    backend: Backend = backend_factory(backend_config)
  File ""/optimum-benchmark/optimum_benchmark/backends/pytorch/backend.py"", line 79, in __init__
    self.load_model_with_no_weights()
  File ""/optimum-benchmark/optimum_benchmark/backends/pytorch/backend.py"", line 247, in load_model_with_no_weights
    self.pretrained_model = self.automodel_class.from_pretrained(
  File ""/home/user/.local/lib/python3.10/site-packages/transformers/models/auto/auto_factory.py"", line 563, in from_pretrained
    return model_class.from_pretrained(
  File ""/home/user/.local/lib/python3.10/site-packages/transformers/modeling_utils.py"", line 3544, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/home/user/.local/lib/python3.10/site-packages/transformers/modeling_utils.py"", line 1463, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/home/user/.local/lib/python3.10/site-packages/transformers/modeling_utils.py"", line 1619, in _check_and_enable_sdpa
    raise ValueError(
ValueError: GPTNeoXForCausalLM 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"")`

"
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float32-sdpa,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,01-ai/Yi-34B,transformers,cuda,0,42,,,,,,True,True,,float32,True,False,,sdpa,,False,,False,forward,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,spawn, AMD EPYC 7742 64-Core Processor,128,540671.627264,Linux,x86_64,Linux-5.4.0-166-generic-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A100-SXM4-80GB'],1,85899345920,0.2.1,a85476b58d1b148eb9b8674963f6102e424e73b5,4.40.2,,0.30.1,,,,1.19.2,,,,0.11.0,,False,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,01-ai/Yi-34B,True,True,"Traceback (most recent call last):
  File ""/optimum-benchmark/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/optimum-benchmark/optimum_benchmark/base.py"", line 43, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/optimum-benchmark/optimum_benchmark/launchers/process/launcher.py"", line 54, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/optimum-benchmark/optimum_benchmark/launchers/process/launcher.py"", line 87, in target
    report = worker(*worker_args)
  File ""/optimum-benchmark/optimum_benchmark/base.py"", line 56, in run
    backend: Backend = backend_factory(backend_config)
  File ""/optimum-benchmark/optimum_benchmark/backends/pytorch/backend.py"", line 79, in __init__
    self.load_model_with_no_weights()
  File ""/optimum-benchmark/optimum_benchmark/backends/pytorch/backend.py"", line 247, in load_model_with_no_weights
    self.pretrained_model = self.automodel_class.from_pretrained(
  File ""/home/user/.local/lib/python3.10/site-packages/transformers/models/auto/auto_factory.py"", line 563, in from_pretrained
    return model_class.from_pretrained(
  File ""/home/user/.local/lib/python3.10/site-packages/transformers/modeling_utils.py"", line 3550, in from_pretrained
    model = cls(config, *model_args, **model_kwargs)
  File ""/home/user/.local/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py"", line 1138, in __init__
    self.model = LlamaModel(config)
  File ""/home/user/.local/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py"", line 927, in __init__
    [LlamaDecoderLayer(config, layer_idx) for layer_idx in range(config.num_hidden_layers)]
  File ""/home/user/.local/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py"", line 927, in <listcomp>
    [LlamaDecoderLayer(config, layer_idx) for layer_idx in range(config.num_hidden_layers)]
  File ""/home/user/.local/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py"", line 702, in __init__
    self.mlp = LlamaMLP(config)
  File ""/home/user/.local/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py"", line 219, in __init__
    self.down_proj = nn.Linear(self.intermediate_size, self.hidden_size, bias=False)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/linear.py"", line 98, in __init__
    self.weight = Parameter(torch.empty((out_features, in_features), **factory_kwargs))
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_device.py"", line 78, in __torch_function__
    return func(*args, **kwargs)
torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 560.00 MiB. GPU 

"
float32-sdpa,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,Qwen/Qwen1.5-7B,transformers,cuda,0,42,,,main,False,False,True,True,,float32,True,False,,sdpa,,False,,False,forward,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,spawn, AMD EPYC 7742 64-Core Processor,128,540671.627264,Linux,x86_64,Linux-5.4.0-166-generic-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A100-SXM4-80GB'],1,85899345920,0.2.0,363fe5957353e2c3240e7cc867d695a4459c90d4,4.40.2,,0.30.1,,,,1.19.2,,,,0.10.0,,False,True,MB,1210.003456,34235.940864,33309.065216,32784.777216,32395.799552,s,"[0.2664683532714844, 0.2696722106933594, 0.26867568969726563, 0.2686027526855469, 0.2697938537597656, 0.269576904296875, 0.26962588500976564, 0.2696629638671875, 0.26906268310546877, 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float32-sdpa,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,Deci/DeciCoder-1b,transformers,cuda,0,42,,,,,,True,True,,float32,True,False,,sdpa,,False,,False,forward,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,spawn, AMD EPYC 7742 64-Core Processor,128,540671.627264,Linux,x86_64,Linux-5.4.0-166-generic-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A100-SXM4-80GB'],1,85899345920,0.2.1,3472c3c26a4300172ffbf774f32fe5b2b47f98a5,4.40.2,,0.30.1,,,,1.19.2,,,,0.11.0,,False,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Deci/DeciCoder-1b,True,True,"Traceback (most recent call last):
  File ""/optimum-benchmark/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/optimum-benchmark/optimum_benchmark/base.py"", line 43, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/optimum-benchmark/optimum_benchmark/launchers/process/launcher.py"", line 54, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/optimum-benchmark/optimum_benchmark/launchers/process/launcher.py"", line 87, in target
    report = worker(*worker_args)
  File ""/optimum-benchmark/optimum_benchmark/base.py"", line 64, in run
    report = scenario.run(backend)
  File ""/optimum-benchmark/optimum_benchmark/scenarios/inference/scenario.py"", line 117, in run
    _ = backend.generate(self.inputs, self.config.generate_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 115, in decorate_context
    return func(*args, **kwargs)
  File ""/optimum-benchmark/optimum_benchmark/backends/pytorch/backend.py"", line 369, in generate
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 115, in decorate_context
    return func(*args, **kwargs)
  File ""/home/user/.local/lib/python3.10/site-packages/transformers/generation/utils.py"", line 1576, in generate
    result = self._greedy_search(
  File ""/home/user/.local/lib/python3.10/site-packages/transformers/generation/utils.py"", line 2494, in _greedy_search
    outputs = self(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1532, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1541, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/home/user/.local/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py"", line 1211, in forward
    outputs = self.model(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1532, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1541, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/home/user/.local/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py"", line 1018, in forward
    layer_outputs = decoder_layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1532, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1541, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/home/user/.local/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py"", line 741, 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 1532, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1541, in _call_impl
    return forward_call(*args, **kwargs)
TypeError: DeciCoderAttention.forward() got an unexpected keyword argument 'cache_position'

"
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float32-sdpa,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,Deci/DeciLM-7B,transformers,cuda,0,42,,,,,,True,True,,float32,True,False,,sdpa,,False,,False,forward,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,spawn, AMD EPYC 7742 64-Core Processor,128,540671.627264,Linux,x86_64,Linux-5.4.0-166-generic-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A100-SXM4-80GB'],1,85899345920,0.2.1,3472c3c26a4300172ffbf774f32fe5b2b47f98a5,4.40.2,,0.30.1,,,,1.19.2,,,,0.11.0,,False,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Deci/DeciLM-7B,True,True,"Traceback (most recent call last):
  File ""/optimum-benchmark/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/optimum-benchmark/optimum_benchmark/base.py"", line 43, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/optimum-benchmark/optimum_benchmark/launchers/process/launcher.py"", line 54, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/optimum-benchmark/optimum_benchmark/launchers/process/launcher.py"", line 87, in target
    report = worker(*worker_args)
  File ""/optimum-benchmark/optimum_benchmark/base.py"", line 56, in run
    backend: Backend = backend_factory(backend_config)
  File ""/optimum-benchmark/optimum_benchmark/backends/pytorch/backend.py"", line 79, in __init__
    self.load_model_with_no_weights()
  File ""/optimum-benchmark/optimum_benchmark/backends/pytorch/backend.py"", line 247, in load_model_with_no_weights
    self.pretrained_model = self.automodel_class.from_pretrained(
  File ""/home/user/.local/lib/python3.10/site-packages/transformers/models/auto/auto_factory.py"", line 558, in from_pretrained
    return model_class.from_pretrained(
  File ""/home/user/.local/lib/python3.10/site-packages/transformers/modeling_utils.py"", line 3544, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/home/user/.local/lib/python3.10/site-packages/transformers/modeling_utils.py"", line 1463, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/home/user/.local/lib/python3.10/site-packages/transformers/modeling_utils.py"", line 1619, in _check_and_enable_sdpa
    raise ValueError(
ValueError: DeciLMForCausalLM 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"")`

"
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float32-sdpa,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,EleutherAI/pythia-12b,transformers,cuda,0,42,,,,,,True,True,,float32,True,False,,sdpa,,False,,False,forward,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,spawn, AMD EPYC 7742 64-Core Processor,128,540671.627264,Linux,x86_64,Linux-5.4.0-166-generic-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A100-SXM4-80GB'],1,85899345920,0.2.1,3472c3c26a4300172ffbf774f32fe5b2b47f98a5,4.40.2,,0.30.1,,,,1.19.2,,,,0.11.0,,False,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,EleutherAI/pythia-12b,True,True,"Traceback (most recent call last):
  File ""/optimum-benchmark/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/optimum-benchmark/optimum_benchmark/base.py"", line 43, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/optimum-benchmark/optimum_benchmark/launchers/process/launcher.py"", line 45, in launch
    raise RuntimeError(f""Isolated process exited with non-zero code {isolated_process.exitcode}"")
RuntimeError: Isolated process exited with non-zero code 1
"
float32-sdpa,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,TencentARC/Mistral_Pro_8B_v0.1,transformers,cuda,0,42,,,main,False,False,True,True,,float32,True,False,,sdpa,,False,,False,forward,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,spawn, AMD EPYC 7742 64-Core Processor,128,540671.627264,Linux,x86_64,Linux-5.4.0-166-generic-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A100-SXM4-80GB'],1,85899345920,0.2.0,363fe5957353e2c3240e7cc867d695a4459c90d4,4.40.2,,0.30.1,,,,1.19.2,,,,0.10.0,,False,True,MB,1157.615616,39093.010432,38166.069248,37641.781248,37441.944576,s,"[0.325651611328125, 0.32998077392578123, 0.33044970703125, 0.3288675231933594, 0.3304139709472656, 0.3302555847167969, 0.33121600341796875, 0.3304698791503906, 0.3309952392578125, 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float32-sdpa,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,EleutherAI/pythia-1.4b,transformers,cuda,0,42,,,,,,True,True,,float32,True,False,,sdpa,,False,,False,forward,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,spawn, AMD EPYC 7742 64-Core Processor,128,540671.627264,Linux,x86_64,Linux-5.4.0-166-generic-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A100-SXM4-80GB'],1,85899345920,0.2.1,3472c3c26a4300172ffbf774f32fe5b2b47f98a5,4.40.2,,0.30.1,,,,1.19.2,,,,0.11.0,,False,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,EleutherAI/pythia-1.4b,True,True,"Traceback (most recent call last):
  File ""/optimum-benchmark/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/optimum-benchmark/optimum_benchmark/base.py"", line 43, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/optimum-benchmark/optimum_benchmark/launchers/process/launcher.py"", line 54, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/optimum-benchmark/optimum_benchmark/launchers/process/launcher.py"", line 87, in target
    report = worker(*worker_args)
  File ""/optimum-benchmark/optimum_benchmark/base.py"", line 56, in run
    backend: Backend = backend_factory(backend_config)
  File ""/optimum-benchmark/optimum_benchmark/backends/pytorch/backend.py"", line 79, in __init__
    self.load_model_with_no_weights()
  File ""/optimum-benchmark/optimum_benchmark/backends/pytorch/backend.py"", line 247, in load_model_with_no_weights
    self.pretrained_model = self.automodel_class.from_pretrained(
  File ""/home/user/.local/lib/python3.10/site-packages/transformers/models/auto/auto_factory.py"", line 563, in from_pretrained
    return model_class.from_pretrained(
  File ""/home/user/.local/lib/python3.10/site-packages/transformers/modeling_utils.py"", line 3544, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/home/user/.local/lib/python3.10/site-packages/transformers/modeling_utils.py"", line 1463, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/home/user/.local/lib/python3.10/site-packages/transformers/modeling_utils.py"", line 1619, in _check_and_enable_sdpa
    raise ValueError(
ValueError: GPTNeoXForCausalLM 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"")`

"
bfloat16-flash_attention_2,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,microsoft/phi-1_5,transformers,cuda,0,42,,,main,False,False,True,True,,bfloat16,True,False,,flash_attention_2,,False,,False,forward,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,spawn, AMD EPYC 7742 64-Core Processor,128,540671.627264,Linux,x86_64,Linux-5.4.0-166-generic-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A100-SXM4-80GB'],1,85899345920,0.2.0,baecef313deabf2c6afcac37036a994e8c514147,4.40.2,,0.30.1,,,,1.19.2,,,,0.10.0,,False,True,MB,1266.827264,4668.260352,3741.319168,3208.64256,2982.448128,s,"[0.018989376068115234, 0.01810588836669922, 0.01765718460083008, 0.017609600067138673, 0.017161279678344726, 0.017085887908935546, 0.018033472061157227, 0.017263935089111327, 0.017422048568725586, 0.01801651191711426]",10,0.17734518432617188,0.01773451843261719,0.017633392333984376,0.018194237136840822,0.018591806602478028,0.018909862174987795,0.0005451121311137328,0.0005451121311137328,tokens/s,14435.125541901762,kWh,6.052113317568367e-07,9.632760890464247e-07,1.1906528383105728e-06,2.7591402591138345e-06,tokens/kWh,92782524.97472553,MB,1266.827264,4668.260352,3741.319168,3208.64256,3022.612992,s,"[1.1131041259765626, 1.0860885009765624, 1.1176256103515625, 1.092522705078125, 1.0753543701171875, 1.103124755859375, 1.085406005859375, 1.0784356689453125, 1.08030859375, 1.073361328125]",10,10.905331665039062,1.0905331665039062,1.0857472534179688,1.1135562744140626,1.1155909423828125,1.1172186767578125,0.014927012988389185,0.014927012988389185,tokens/s,57.76990735822278,kWh,3.459571160444426e-05,5.797555439937048e-05,4.729221928722202e-05,0.00013986348529103677,tokens/kWh,450439.22556988784,,s,"[0.018327552795410155, 0.018282495498657226, 0.018335744857788085, 0.018134016036987305, 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bfloat16-flash_attention_2,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,Deci/DeciCoder-1b,transformers,cuda,0,42,,,,,,True,True,,bfloat16,True,False,,flash_attention_2,,False,,False,forward,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,spawn, AMD EPYC 7742 64-Core Processor,128,540671.627264,Linux,x86_64,Linux-5.4.0-166-generic-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A100-SXM4-80GB'],1,85899345920,0.2.1,3472c3c26a4300172ffbf774f32fe5b2b47f98a5,4.40.2,,0.30.1,,,,1.19.2,,,,0.11.0,,False,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Deci/DeciCoder-1b,True,True,"Traceback (most recent call last):
  File ""/optimum-benchmark/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/optimum-benchmark/optimum_benchmark/base.py"", line 43, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/optimum-benchmark/optimum_benchmark/launchers/process/launcher.py"", line 54, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/optimum-benchmark/optimum_benchmark/launchers/process/launcher.py"", line 87, in target
    report = worker(*worker_args)
  File ""/optimum-benchmark/optimum_benchmark/base.py"", line 64, in run
    report = scenario.run(backend)
  File ""/optimum-benchmark/optimum_benchmark/scenarios/inference/scenario.py"", line 117, in run
    _ = backend.generate(self.inputs, self.config.generate_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 115, in decorate_context
    return func(*args, **kwargs)
  File ""/optimum-benchmark/optimum_benchmark/backends/pytorch/backend.py"", line 369, in generate
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 115, in decorate_context
    return func(*args, **kwargs)
  File ""/home/user/.local/lib/python3.10/site-packages/transformers/generation/utils.py"", line 1576, in generate
    result = self._greedy_search(
  File ""/home/user/.local/lib/python3.10/site-packages/transformers/generation/utils.py"", line 2494, in _greedy_search
    outputs = self(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1532, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1541, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/home/user/.local/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py"", line 1211, in forward
    outputs = self.model(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1532, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1541, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/home/user/.local/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py"", line 1018, in forward
    layer_outputs = decoder_layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1532, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1541, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/home/user/.local/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py"", line 741, 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 1532, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1541, in _call_impl
    return forward_call(*args, **kwargs)
TypeError: DeciCoderAttention.forward() got an unexpected keyword argument 'cache_position'

"
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0.013006848335266113, 0.012965888023376464]",692,10.277669899940483,0.014852124132861981,0.014187519550323487,0.01683711929321289,0.017151488685607907,0.029584690551757876,0.002755594913380103,0.002755594913380103,tokens/s,67.33043644493843,,,,,,
float16-eager,pytorch,2.3.0+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,Deci/DeciCoder-1b,transformers,cuda,0,42,,,,,,True,True,,float16,True,False,,eager,,False,,False,forward,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,spawn, AMD EPYC 7742 64-Core Processor,128,540671.627264,Linux,x86_64,Linux-5.4.0-166-generic-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A100-SXM4-80GB'],1,85899345920,0.2.1,3472c3c26a4300172ffbf774f32fe5b2b47f98a5,4.40.2,,0.30.1,,,,1.19.2,,,,0.11.0,,False,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Deci/DeciCoder-1b,True,True,"Traceback (most recent call last):
  File ""/optimum-benchmark/llm_perf/update_llm_perf_cuda_pytorch.py"", line 148, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/optimum-benchmark/optimum_benchmark/base.py"", line 43, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/optimum-benchmark/optimum_benchmark/launchers/process/launcher.py"", line 54, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/optimum-benchmark/optimum_benchmark/launchers/process/launcher.py"", line 87, in target
    report = worker(*worker_args)
  File ""/optimum-benchmark/optimum_benchmark/base.py"", line 64, in run
    report = scenario.run(backend)
  File ""/optimum-benchmark/optimum_benchmark/scenarios/inference/scenario.py"", line 117, in run
    _ = backend.generate(self.inputs, self.config.generate_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 115, in decorate_context
    return func(*args, **kwargs)
  File ""/optimum-benchmark/optimum_benchmark/backends/pytorch/backend.py"", line 369, in generate
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 115, in decorate_context
    return func(*args, **kwargs)
  File ""/home/user/.local/lib/python3.10/site-packages/transformers/generation/utils.py"", line 1576, in generate
    result = self._greedy_search(
  File ""/home/user/.local/lib/python3.10/site-packages/transformers/generation/utils.py"", line 2494, in _greedy_search
    outputs = self(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1532, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1541, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/home/user/.local/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py"", line 1211, in forward
    outputs = self.model(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1532, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1541, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/home/user/.local/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py"", line 1018, in forward
    layer_outputs = decoder_layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1532, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1541, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/home/user/.local/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py"", line 741, 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 1532, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1541, in _call_impl
    return forward_call(*args, **kwargs)
TypeError: DeciCoderAttention.forward() got an unexpected keyword argument 'cache_position'

"
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