diff --git "a/perf-df-unquantized-32vCPU-C7i.csv" "b/perf-df-unquantized-32vCPU-C7i.csv"
--- "a/perf-df-unquantized-32vCPU-C7i.csv"
+++ "b/perf-df-unquantized-32vCPU-C7i.csv"
@@ -3823,6 +3823,423 @@ ChildProcessError: Traceback (most recent call last):
 AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'
 
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+float16-sdpa,pytorch,2.4.1+cpu,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neo,EleutherAI/gpt-neo-1.3B,EleutherAI/gpt-neo-1.3B,cpu,,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,False,,False,spawn, Intel(R) Xeon(R) Platinum 8488C,32,66326.188032,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,,,"Traceback (most recent call last):
+  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
+    benchmark_report = Benchmark.launch(benchmark_config)
+  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
+    report = launcher.launch(worker=cls.run, worker_args=[config])
+  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
+    raise ChildProcessError(response[""traceback""])
+ChildProcessError: Traceback (most recent call last):
+  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
+    report = worker(*worker_args)
+  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
+    report = scenario.run(backend)
+  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
+    self.run_model_loading_tracking(backend)
+  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
+    backend.load()
+  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
+    self.load_transformers_model()
+  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
+    self.load_transformers_model_with_no_weights()
+  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 126, 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: GPTNeoForCausalLM 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-eager,pytorch,2.4.1+cpu,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neo,EleutherAI/gpt-neo-2.7B,EleutherAI/gpt-neo-2.7B,cpu,,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,False,,False,spawn, Intel(R) Xeon(R) Platinum 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+float16-sdpa,pytorch,2.4.1+cpu,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neo,EleutherAI/gpt-neo-2.7B,EleutherAI/gpt-neo-2.7B,cpu,,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,False,,False,spawn, Intel(R) Xeon(R) Platinum 8488C,32,66326.188032,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,,,"Traceback (most recent call last):
+  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
+    benchmark_report = Benchmark.launch(benchmark_config)
+  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
+    report = launcher.launch(worker=cls.run, worker_args=[config])
+  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
+    raise ChildProcessError(response[""traceback""])
+ChildProcessError: Traceback (most recent call last):
+  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
+    report = worker(*worker_args)
+  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
+    report = scenario.run(backend)
+  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
+    self.run_model_loading_tracking(backend)
+  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
+    backend.load()
+  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
+    self.load_transformers_model()
+  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
+    self.load_transformers_model_with_no_weights()
+  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 126, 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: GPTNeoForCausalLM 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"")`
+
+",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
+float16-sdpa,pytorch,2.4.1+cpu,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gptj,EleutherAI/gpt-j-6b,EleutherAI/gpt-j-6b,cpu,,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,False,,False,spawn, Intel(R) Xeon(R) Platinum 8488C,32,66326.188032,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,,,"Traceback (most recent call last):
+  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
+    benchmark_report = Benchmark.launch(benchmark_config)
+  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
+    report = launcher.launch(worker=cls.run, worker_args=[config])
+  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
+    raise ChildProcessError(response[""traceback""])
+ChildProcessError: Traceback (most recent call last):
+  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
+    report = worker(*worker_args)
+  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
+    report = scenario.run(backend)
+  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
+    self.run_model_loading_tracking(backend)
+  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
+    backend.load()
+  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
+    self.load_transformers_model()
+  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
+    self.load_transformers_model_with_no_weights()
+  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 126, 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: GPTJForCausalLM 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-eager,pytorch,2.4.1+cpu,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neo,EleutherAI/gpt-neo-1.3B,EleutherAI/gpt-neo-1.3B,cpu,,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,False,,False,spawn, Intel(R) Xeon(R) Platinum 8488C,32,66326.188032,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,,,,MB,3374.096384,,,,,s,1,40.40298847700069,40.40298847700069,0.0,40.40298847700069,40.40298847700069,40.40298847700069,40.40298847700069,[40.40298847700069],,kWh,0.000448394099476396,0.00024439086347910477,0,0.0006927849629555008,,MB,3386.372096,,,,,s,10,5.081101806001243,0.5081101806001243,0.0032179546311577414,0.507622211499438,0.5092548716005695,0.5132234783006424,0.5163983636607008,"[0.5079443670001638, 0.5074658419998741, 0.507770926999001, 0.507473495999875, 0.5171920850007155, 0.5060488750004879, 0.5048994710014085, 0.5057695409996086, 0.5083729590005532, 0.5081642429995554]",tokens/s,503.82773220099773,kWh,6.0505089412151845e-06,3.297670236284909e-06,0.0,9.348179177500095e-06,tokens/kWh,27385012.111894492,MB,3404.587008,,,,,s,10,23.12246347800101,2.3122463478001007,0.014848238735775832,2.307289389000289,2.33329433179897,2.3358067483999547,2.3378166816807426,"[2.30246206800075, 2.3067284820008354, 2.3383191650009394, 2.307804195999779, 2.3288760220002587, 2.307183516000805, 2.3327360169987514, 2.301445855999191, 2.3073952619997726, 2.2895128939999267]",tokens/s,27.246231812600318,kWh,2.6998047201978276e-05,1.4714908403085284e-05,0.0,4.171295560506356e-05,tokens/kWh,1510322.1310060415,,s,630,23.11729763599942,0.03669412323174511,0.0008016607430829591,0.036572998499650566,0.037623678699492305,0.0383038886497161,0.03921609268065367,"[0.03790680100064492, 0.036813442999118706, 0.037447701000928646, 0.03673492999951122, 0.03649803400003293, 0.035982187999252346, 0.03536354700008815, 0.036021641000843374, 0.037721619999501854, 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0.036697675999675994, 0.03607763900072314, 0.03665171099964937, 0.036793045001104474, 0.03652607000003627, 0.03626112499841838, 0.035881871001038235, 0.03706558299927565, 0.03589311900032044, 0.036374851000800845, 0.03623183399940899, 0.036481675000686664, 0.03589465199911501, 0.03597670400085917, 0.03715134799858788, 0.03622158000143827, 0.03646919999846432, 0.038909453000087524, 0.03626020000046992, 0.03660974900049041, 0.03666655499910121, 0.03615602600075363, 0.036542137000651564, 0.03647969899975578, 0.036897216999932425, 0.03746882099949289, 0.03593070799979614, 0.03696254900023632, 0.0370061909998185, 0.03695417500057374, 0.03752991999863298, 0.03978967500006547, 0.0363244920008583, 0.03594888199950219, 0.037884016001044074, 0.037898212998698, 0.03672458900109632, 0.036747823000041535, 0.03602183099974354, 0.03609441200023866, 0.036499919999187114, 0.03670611500092491, 0.03690377899874875, 0.03635983000094711, 0.037998980000338634, 0.036352564000480925, 0.03635980899889546, 0.03612642300140578, 0.0357992720000766, 0.03593323699897155, 0.035935576999690966, 0.03602392500033602, 0.0362286050003604, 0.0358056619988929, 0.035465027000100235, 0.03579208300106984, 0.03599251500054379, 0.035910297998270835, 0.03562394300024607, 0.035886638001102256, 0.036191360999509925, 0.035876374000508804, 0.035808421998808626, 0.036285714000769076, 0.03636367500075721, 0.03567370299970207, 0.03729610399932426, 0.035862699000063, 0.036659740000686725, 0.03658610099955695, 0.036613959999158396, 0.037045136999950046, 0.03627109599983669, 0.03711175700118474, 0.0362037529994268, 0.03560088599988376, 0.03627619600047183, 0.03630607100058114, 0.03681873099958466, 0.03658314799940854, 0.03585583200037945, 0.03685825100001239, 0.037596164000206045, 0.0377880260002712, 0.03636570500020753, 0.036465862998738885, 0.03594504700049583, 0.036493404999419, 0.03585429400118301, 0.03572473599888326, 0.035988472000099136, 0.03604691800137516, 0.036504433999652974, 0.03651804400033143, 0.03635389299961389, 0.036199041998770554, 0.03617827600101009, 0.0369907839994994, 0.036485115000687074, 0.03707744999883289, 0.03689945600126521, 0.03632140899935621, 0.03650690299946291, 0.03635003900126321, 0.03639143500004138, 0.03630615699876216, 0.03627472200059856]",tokens/s,27.252320315283402,,
+bfloat16-sdpa,pytorch,2.4.1+cpu,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gptj,EleutherAI/gpt-j-6b,EleutherAI/gpt-j-6b,cpu,,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,False,,False,spawn, Intel(R) Xeon(R) Platinum 8488C,32,66326.188032,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,,,"Traceback (most recent call last):
+  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
+    benchmark_report = Benchmark.launch(benchmark_config)
+  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
+    report = launcher.launch(worker=cls.run, worker_args=[config])
+  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
+    raise ChildProcessError(response[""traceback""])
+ChildProcessError: Traceback (most recent call last):
+  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
+    report = worker(*worker_args)
+  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
+    report = scenario.run(backend)
+  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
+    self.run_model_loading_tracking(backend)
+  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
+    backend.load()
+  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
+    self.load_transformers_model()
+  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
+    self.load_transformers_model_with_no_weights()
+  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 126, 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: GPTJForCausalLM 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-sdpa,pytorch,2.4.1+cpu,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neo,EleutherAI/gpt-neo-125m,EleutherAI/gpt-neo-125m,cpu,,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,False,,False,spawn, Intel(R) Xeon(R) Platinum 8488C,32,66326.188032,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,,,"Traceback (most recent call last):
+  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
+    benchmark_report = Benchmark.launch(benchmark_config)
+  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
+    report = launcher.launch(worker=cls.run, worker_args=[config])
+  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
+    raise ChildProcessError(response[""traceback""])
+ChildProcessError: Traceback (most recent call last):
+  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
+    report = worker(*worker_args)
+  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
+    report = scenario.run(backend)
+  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
+    self.run_model_loading_tracking(backend)
+  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
+    backend.load()
+  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
+    self.load_transformers_model()
+  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
+    self.load_transformers_model_with_no_weights()
+  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 126, 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: GPTNeoForCausalLM 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-sdpa,pytorch,2.4.1+cpu,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neo,EleutherAI/gpt-neo-1.3B,EleutherAI/gpt-neo-1.3B,cpu,,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,False,,False,spawn, Intel(R) Xeon(R) Platinum 8488C,32,66326.188032,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,,,"Traceback (most recent call last):
+  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
+    benchmark_report = Benchmark.launch(benchmark_config)
+  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
+    report = launcher.launch(worker=cls.run, worker_args=[config])
+  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
+    raise ChildProcessError(response[""traceback""])
+ChildProcessError: Traceback (most recent call last):
+  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
+    report = worker(*worker_args)
+  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
+    report = scenario.run(backend)
+  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
+    self.run_model_loading_tracking(backend)
+  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
+    backend.load()
+  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
+    self.load_transformers_model()
+  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
+    self.load_transformers_model_with_no_weights()
+  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 126, 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: GPTNeoForCausalLM 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,2.4.1+cpu,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/gpt-neox-20b,EleutherAI/gpt-neox-20b,cpu,,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,False,,False,spawn, Intel(R) Xeon(R) Platinum 8488C,32,66326.188032,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,,,"Traceback (most recent call last):
+  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
+    benchmark_report = Benchmark.launch(benchmark_config)
+  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
+    report = launcher.launch(worker=cls.run, worker_args=[config])
+  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 57, in launch
+    raise RuntimeError(f""Isolated process exited with non-zero code {isolated_process.exitcode}"")
+RuntimeError: Isolated process exited with non-zero code -9
+",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
+float32-eager,pytorch,2.4.1+cpu,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neo,EleutherAI/gpt-neo-2.7B,EleutherAI/gpt-neo-2.7B,cpu,,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,False,,False,spawn, Intel(R) Xeon(R) Platinum 8488C,32,66326.188032,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,,,,MB,11693.142016,,,,,s,1,29.41541665099794,29.41541665099794,0.0,29.41541665099794,29.41541665099794,29.41541665099794,29.41541665099794,[29.41541665099794],,kWh,0.0003189265374680771,0.0001738259765790067,0,0.0004927525140470838,,MB,11812.90496,,,,,s,10,7.102716182995209,0.7102716182995209,0.005096656777520243,0.7078282490001584,0.7164747309991071,0.7188930624985005,0.7208277276980152,"[0.7062851859991497, 0.7065217999988818, 0.7062391380022746, 0.707326440999168, 0.7049440939990745, 0.7144621869992989, 0.7083300570011488, 0.7113585619990772, 0.7159373239992419, 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+bfloat16-sdpa,pytorch,2.4.1+cpu,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neo,EleutherAI/gpt-neo-125m,EleutherAI/gpt-neo-125m,cpu,,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,False,,False,spawn, Intel(R) Xeon(R) Platinum 8488C,32,66326.188032,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,,,"Traceback (most recent call last):
+  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
+    benchmark_report = Benchmark.launch(benchmark_config)
+  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
+    report = launcher.launch(worker=cls.run, worker_args=[config])
+  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
+    raise ChildProcessError(response[""traceback""])
+ChildProcessError: Traceback (most recent call last):
+  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
+    report = worker(*worker_args)
+  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
+    report = scenario.run(backend)
+  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
+    self.run_model_loading_tracking(backend)
+  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
+    backend.load()
+  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
+    self.load_transformers_model()
+  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
+    self.load_transformers_model_with_no_weights()
+  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 126, 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: GPTNeoForCausalLM 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"")`
+
+",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
+float16-eager,pytorch,2.4.1+cpu,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neo,EleutherAI/gpt-neo-125m,EleutherAI/gpt-neo-125m,cpu,,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,False,,False,spawn, Intel(R) Xeon(R) Platinum 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+bfloat16-sdpa,pytorch,2.4.1+cpu,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neo,EleutherAI/gpt-neo-2.7B,EleutherAI/gpt-neo-2.7B,cpu,,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,False,,False,spawn, Intel(R) Xeon(R) Platinum 8488C,32,66326.188032,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,,,"Traceback (most recent call last):
+  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
+    benchmark_report = Benchmark.launch(benchmark_config)
+  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
+    report = launcher.launch(worker=cls.run, worker_args=[config])
+  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
+    raise ChildProcessError(response[""traceback""])
+ChildProcessError: Traceback (most recent call last):
+  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
+    report = worker(*worker_args)
+  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
+    report = scenario.run(backend)
+  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
+    self.run_model_loading_tracking(backend)
+  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
+    backend.load()
+  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
+    self.load_transformers_model()
+  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
+    self.load_transformers_model_with_no_weights()
+  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 126, 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: GPTNeoForCausalLM 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"")`
+
+",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
+float16-sdpa,pytorch,2.4.1+cpu,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neo,EleutherAI/gpt-neo-125m,EleutherAI/gpt-neo-125m,cpu,,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,False,,False,spawn, Intel(R) Xeon(R) Platinum 8488C,32,66326.188032,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,,,"Traceback (most recent call last):
+  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
+    benchmark_report = Benchmark.launch(benchmark_config)
+  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
+    report = launcher.launch(worker=cls.run, worker_args=[config])
+  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
+    raise ChildProcessError(response[""traceback""])
+ChildProcessError: Traceback (most recent call last):
+  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
+    report = worker(*worker_args)
+  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
+    report = scenario.run(backend)
+  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
+    self.run_model_loading_tracking(backend)
+  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
+    backend.load()
+  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
+    self.load_transformers_model()
+  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
+    self.load_transformers_model_with_no_weights()
+  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 126, 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: GPTNeoForCausalLM 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-eager,pytorch,2.4.1+cpu,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gptj,EleutherAI/gpt-j-6b,EleutherAI/gpt-j-6b,cpu,,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,False,,False,spawn, Intel(R) Xeon(R) Platinum 8488C,32,66326.188032,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,,,,MB,12675.555328,,,,,s,1,159.70505922200027,159.70505922200027,0.0,159.70505922200027,159.70505922200027,159.70505922200027,159.70505922200027,[159.70505922200027],,kWh,0.0018568492267708406,0.0010120535320007513,0,0.002868902758771592,,MB,12898.725888,,,,,s,10,20.571253644002354,2.0571253644002354,0.011200779817389877,2.0574909434999427,2.070192047000637,2.0760838385006535,2.080797271700667,"[2.054039360000388, 2.056634958000359, 2.0583469289995264, 2.059023277999586, 2.0588079760000255, 2.0460298319994763, 2.0688827600006334, 2.043233387001237, 2.0442795340004523, 2.08197563000067]",tokens/s,124.44550265639158,kWh,2.429793235048755e-05,1.324313725576786e-05,0.0,3.754106960625541e-05,tokens/kWh,6819198.352231901,MB,13027.762176,,,,,s,10,81.82274617299663,8.182274617299663,0.03665982580145618,8.180775010499929,8.224108223999064,8.23759191599911,8.248378869599145,"[8.151513246000832, 8.12987049000003, 8.129500327999267, 8.177928581999367, 8.205390242999783, 8.179163675000382, 8.251075607999155, 8.194805806999284, 8.221111847999055, 8.182386345999475]",tokens/s,7.699570467459015,kWh,9.674973843319308e-05,5.273238056033515e-05,0.0,0.00014948211899352824,tokens/kWh,421455.0905766031,,s,630,81.81856641899867,0.12987074034761695,0.0022911200549274205,0.12948964099996374,0.1329902128010872,0.13397532615081217,0.1369667184401624,"[0.13219707800089964, 0.1294600069995795, 0.1295117699992261, 0.1281607740002073, 0.13102802600042196, 0.12746862700078054, 0.12699771899860934, 0.12968346300112898, 0.1279192879992479, 0.12827947400000994, 0.13017008799943142, 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+float32-sdpa,pytorch,2.4.1+cpu,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neo,EleutherAI/gpt-neo-2.7B,EleutherAI/gpt-neo-2.7B,cpu,,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,False,,False,spawn, Intel(R) Xeon(R) Platinum 8488C,32,66326.188032,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,,,"Traceback (most recent call last):
+  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
+    benchmark_report = Benchmark.launch(benchmark_config)
+  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
+    report = launcher.launch(worker=cls.run, worker_args=[config])
+  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
+    raise ChildProcessError(response[""traceback""])
+ChildProcessError: Traceback (most recent call last):
+  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
+    report = worker(*worker_args)
+  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
+    report = scenario.run(backend)
+  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
+    self.run_model_loading_tracking(backend)
+  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
+    backend.load()
+  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
+    self.load_transformers_model()
+  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
+    self.load_transformers_model_with_no_weights()
+  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 126, 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: GPTNeoForCausalLM 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,2.4.1+cpu,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gptj,EleutherAI/gpt-j-6b,EleutherAI/gpt-j-6b,cpu,,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,False,,False,spawn, Intel(R) Xeon(R) Platinum 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+float32-sdpa,pytorch,2.4.1+cpu,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neo,EleutherAI/gpt-neo-1.3B,EleutherAI/gpt-neo-1.3B,cpu,,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,False,,False,spawn, Intel(R) Xeon(R) Platinum 8488C,32,66326.188032,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,,,"Traceback (most recent call last):
+  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
+    benchmark_report = Benchmark.launch(benchmark_config)
+  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
+    report = launcher.launch(worker=cls.run, worker_args=[config])
+  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
+    raise ChildProcessError(response[""traceback""])
+ChildProcessError: Traceback (most recent call last):
+  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
+    report = worker(*worker_args)
+  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
+    report = scenario.run(backend)
+  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
+    self.run_model_loading_tracking(backend)
+  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
+    backend.load()
+  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
+    self.load_transformers_model()
+  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
+    self.load_transformers_model_with_no_weights()
+  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 126, 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: GPTNeoForCausalLM 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,2.4.1+cpu,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neo,EleutherAI/gpt-neo-1.3B,EleutherAI/gpt-neo-1.3B,cpu,,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,False,,False,spawn, Intel(R) Xeon(R) Platinum 8488C,32,66326.188032,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,,,,MB,6213.902336,,,,,s,1,16.82828445300038,16.82828445300038,0.0,16.82828445300038,16.82828445300038,16.82828445300038,16.82828445300038,[16.82828445300038],,kWh,0.000163032265474313,8.885757816504003e-05,0,0.000251889843639353,,MB,6334.312448,,,,,s,10,3.714737233998676,0.3714737233998676,0.007708497202829009,0.3687407044990323,0.37846695830048704,0.3842126676501721,0.3888092351299201,"[0.3665656239991222, 0.37282725800105254, 0.36448245300016424, 0.3631408780001948, 0.36830376199941384, 0.377190134000557, 0.3770356740005809, 0.36605542699908256, 0.36917764699865074, 0.38995837699985714]",tokens/s,689.146994454928,kWh,4.359083559325965e-06,2.3758070505436826e-06,0.0,6.734890609869648e-06,tokens/kWh,38011010.843271114,MB,6339.305472,,,,,s,10,28.279212945000836,2.827921294500084,0.02247434674107151,2.826415186000304,2.8522092179009633,2.865909620450111,2.8768699424894293,"[2.8244233060013357, 2.837737545998607, 2.801933495000412, 2.828407065999272, 2.879610022999259, 2.8068749949998164, 2.8299959569994826, 2.8037580190011795, 2.8491646840011526, 2.817307854000319]",tokens/s,22.2778477330774,kWh,3.368288653400898e-05,1.8358372070625973e-05,0.0,5.2041258604634965e-05,tokens/kWh,1210577.9469828005,,s,630,28.274672424999153,0.044880432420633574,0.0011727571334431803,0.044669613499536354,0.04645259969965991,0.04720746805087401,0.048416777320253464,"[0.047616452000511345, 0.04500083600032667, 0.04357341499962786, 0.043362002999856486, 0.04322311299983994, 0.042846592999921995, 0.04392330500013486, 0.04348152100101288, 0.044620249998843065, 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+float32-sdpa,pytorch,2.4.1+cpu,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gptj,EleutherAI/gpt-j-6b,EleutherAI/gpt-j-6b,cpu,,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,False,,False,spawn, Intel(R) Xeon(R) Platinum 8488C,32,66326.188032,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,,,"Traceback (most recent call last):
+  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
+    benchmark_report = Benchmark.launch(benchmark_config)
+  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
+    report = launcher.launch(worker=cls.run, worker_args=[config])
+  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
+    raise ChildProcessError(response[""traceback""])
+ChildProcessError: Traceback (most recent call last):
+  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
+    report = worker(*worker_args)
+  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
+    report = scenario.run(backend)
+  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
+    self.run_model_loading_tracking(backend)
+  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
+    backend.load()
+  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
+    self.load_transformers_model()
+  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
+    self.load_transformers_model_with_no_weights()
+  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 126, 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: GPTJForCausalLM 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-eager,pytorch,2.4.1+cpu,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neo,EleutherAI/gpt-neo-125m,EleutherAI/gpt-neo-125m,cpu,,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,False,,False,spawn, Intel(R) Xeon(R) Platinum 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 float32-sdpa,pytorch,2.4.1+cpu,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen,Qwen/Qwen-7B,Qwen/Qwen-7B,cpu,,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,False,,False,spawn, Intel(R) Xeon(R) Platinum 8488C,32,66326.188032,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,,,"Traceback (most recent call last):
   File ""/workspace/llm_perf/common/benchmark_runner.py"", line 106, in execute_and_log_benchmark
     benchmark_report = Benchmark.launch(benchmark_config)
@@ -9727,113 +10144,461 @@ ChildProcessError: Traceback (most recent call last):
 AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'
 
 ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
-float16-eager-pytorch,pytorch,2.4.1+cpu,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,stablelm,stabilityai/stablelm-2-12b,stabilityai/stablelm-2-12b,cpu,,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,False,,False,spawn, Intel(R) Xeon(R) Platinum 8488C,32,66326.188032,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,,,"Traceback (most recent call last):
-  File ""/workspace/llm_perf/update_llm_perf_cpu_pytorch.py"", line 114, in benchmark_cpu_pytorch
+float16-eager-pytorch,pytorch,2.4.1+cpu,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,stablelm,stabilityai/stablelm-2-12b,stabilityai/stablelm-2-12b,cpu,,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,False,,False,spawn, Intel(R) Xeon(R) Platinum 8488C,32,66326.188032,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,,,"Traceback (most recent call last):
+  File ""/workspace/llm_perf/update_llm_perf_cpu_pytorch.py"", line 114, in benchmark_cpu_pytorch
+    benchmark_report = Benchmark.launch(benchmark_config)
+  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
+    report = launcher.launch(worker=cls.run, worker_args=[config])
+  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
+    raise ChildProcessError(response[""traceback""])
+ChildProcessError: Traceback (most recent call last):
+  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
+    report = worker(*worker_args)
+  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
+    report = scenario.run(backend)
+  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
+    self.run_model_loading_tracking(backend)
+  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
+    context_stack.enter_context(energy_tracker.track())
+  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
+    result = _cm_type.__enter__(cm)
+  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
+    return next(self.gen)
+  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 174, in track
+    self.emission_tracker.start_task()
+  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
+    if self._scheduler:
+AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'
+
+",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
+float16-eager-pytorch,pytorch,2.4.1+cpu,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/polyglot-ko-12.8b,EleutherAI/polyglot-ko-12.8b,cpu,,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,False,,False,spawn, Intel(R) Xeon(R) Platinum 8488C,32,66326.188032,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,,,,MB,26443.382784,,,,,s,1,416.0725446910001,416.0725446910001,0.0,416.0725446910001,416.0725446910001,416.0725446910001,416.0725446910001,[416.0725446910001],,kWh,0.004881660385143748,0.002660693515757511,0,0.007542353900901259,,MB,27043.291136,,,,,s,10,35.84458376100338,3.5844583761003377,0.007329127151613124,3.581920324500061,3.5933664820999183,3.59342874005024,3.593478546410497,"[3.5934909980005614, 3.5806673650004086, 3.578081989000566, 3.570503140001165, 3.5930893710010423, 3.582125721999546, 3.5900059239993425, 3.593352646999847, 3.5817149270005757, 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+float16-eager-pytorch,pytorch,2.4.1+cpu,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt2,openai-community/gpt2,openai-community/gpt2,cpu,,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,False,,False,spawn, Intel(R) Xeon(R) Platinum 8488C,32,66326.188032,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,,,"Traceback (most recent call last):
+  File ""/workspace/llm_perf/update_llm_perf_cpu_pytorch.py"", line 114, in benchmark_cpu_pytorch
+    benchmark_report = Benchmark.launch(benchmark_config)
+  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
+    report = launcher.launch(worker=cls.run, worker_args=[config])
+  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
+    raise ChildProcessError(response[""traceback""])
+ChildProcessError: Traceback (most recent call last):
+  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
+    report = worker(*worker_args)
+  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
+    report = scenario.run(backend)
+  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
+    self.run_model_loading_tracking(backend)
+  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
+    context_stack.enter_context(energy_tracker.track())
+  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
+    result = _cm_type.__enter__(cm)
+  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
+    return next(self.gen)
+  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 174, in track
+    self.emission_tracker.start_task()
+  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
+    if self._scheduler:
+AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'
+
+",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
+float16-eager-pytorch,pytorch,2.4.1+cpu,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,codegen,Salesforce/codegen-6B-nl,Salesforce/codegen-6B-nl,cpu,,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,False,,False,spawn, Intel(R) Xeon(R) Platinum 8488C,32,66326.188032,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,,,"Traceback (most recent call last):
+  File ""/workspace/llm_perf/update_llm_perf_cpu_pytorch.py"", line 114, in benchmark_cpu_pytorch
+    benchmark_report = Benchmark.launch(benchmark_config)
+  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
+    report = launcher.launch(worker=cls.run, worker_args=[config])
+  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
+    raise ChildProcessError(response[""traceback""])
+ChildProcessError: Traceback (most recent call last):
+  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
+    report = worker(*worker_args)
+  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
+    report = scenario.run(backend)
+  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
+    self.run_model_loading_tracking(backend)
+  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
+    context_stack.enter_context(energy_tracker.track())
+  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
+    result = _cm_type.__enter__(cm)
+  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
+    return next(self.gen)
+  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 174, in track
+    self.emission_tracker.start_task()
+  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
+    if self._scheduler:
+AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'
+
+",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
+float16-eager-pytorch,pytorch,2.4.1+cpu,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-410m,EleutherAI/pythia-410m,cpu,,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,False,,False,spawn, Intel(R) Xeon(R) Platinum 8488C,32,66326.188032,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,,,"Traceback (most recent call last):
+  File ""/workspace/llm_perf/update_llm_perf_cpu_pytorch.py"", line 114, in benchmark_cpu_pytorch
+    benchmark_report = Benchmark.launch(benchmark_config)
+  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
+    report = launcher.launch(worker=cls.run, worker_args=[config])
+  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
+    raise ChildProcessError(response[""traceback""])
+ChildProcessError: Traceback (most recent call last):
+  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
+    report = worker(*worker_args)
+  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
+    report = scenario.run(backend)
+  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
+    self.run_model_loading_tracking(backend)
+  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
+    context_stack.enter_context(energy_tracker.track())
+  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
+    result = _cm_type.__enter__(cm)
+  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
+    return next(self.gen)
+  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 174, in track
+    self.emission_tracker.start_task()
+  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
+    if self._scheduler:
+AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'
+
+",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
+float32-eager,pytorch,2.4.1+cpu,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,deci,Deci/DeciLM-7B,Deci/DeciLM-7B,cpu,,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,False,,False,spawn, Intel(R) Xeon(R) Platinum 8488C,32,66326.188032,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,,,,MB,28892.696576,,,,,s,1,70.74499230299989,70.74499230299989,0.0,70.74499230299989,70.74499230299989,70.74499230299989,70.74499230299989,[70.74499230299989],,kWh,0.0008070688300270844,0.0004398825798870292,0,0.0012469514099141136,,MB,29343.924224,,,,,s,10,17.60650355799953,1.760650355799953,0.012717061771106623,1.7565232184997512,1.7740552504003062,1.7817817926998942,1.7879630265395645,"[1.7467989820015646, 1.7543419970006653, 1.7723382410003978, 1.789508334999482, 1.7686037460007356, 1.7507506499987358, 1.7464263879992359, 1.7646887819992116, 1.75758004599993, 1.7554663909995725]",tokens/s,145.40081689512178,kWh,2.0775009377361663e-05,1.1323023498067578e-05,0.0,3.209803287542924e-05,tokens/kWh,7975566.6334296055,MB,29358.768128,,,,,s,10,118.04324531600105,11.804324531600106,0.08261022840095958,11.808232546500221,11.877726705600072,11.92205097479964,11.957510390159296,"[11.844335371999478, 11.854265794998355, 11.96637524399921, 11.828923614000814, 11.754196735999358, 11.65284812200116, 11.736662926001372, 11.750219160001507, 11.867876868000167, 11.787541478999628]",tokens/s,5.3370271065785575,kWh,0.00013957839608749964,7.607565571913965e-05,0.0,0.0002156540518066393,tokens/kWh,292134.55287400464,,s,630,118.039158890002,0.18736374426984445,0.003763427079279641,0.18688544199994794,0.19202031139957398,0.19396479465031008,0.2000851361601963,"[0.19178188499972748, 0.18689998499939975, 0.191624729999603, 0.18677885500073899, 0.18637572599982377, 0.18863128699922527, 0.19270476100064116, 0.18695323999963875, 0.1865806480000174, 0.18645300200114434, 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0.19221285599996918, 0.18778405400007614, 0.1883607750005467, 0.19425444300031813, 0.19115789699935704, 0.18893311899955734, 0.19080352200035122, 0.18585772599908523, 0.18532202599999437, 0.19143090400029905, 0.19031846899997618, 0.19484653000108665, 0.19257719999950496, 0.18893913799911388, 0.18664264300059585, 0.19108367000080761, 0.1984676819993183, 0.19262186199921416, 0.18658534000132931, 0.18914934699932928, 0.18261620500015852, 0.18781557900001644, 0.19172807600079977, 0.18625272399913229, 0.18647009400046954, 0.1876346419994661, 0.19183231500028342, 0.1946162860003824, 0.19103996000012557, 0.1933681959999376, 0.18817074000071443, 0.18676761599999736, 0.1869912429992837, 0.19158187399989401, 0.18777442499958852, 0.1893200850008725, 0.18730827900071745, 0.18473020099918358, 0.18654187900028774, 0.18319747500027006, 0.18495188999986567, 0.1839124649995938, 0.18440752199967392, 0.18645484100125032, 0.18434979099947668, 0.18567597400033264, 0.18395878999945126, 0.20252909699956945, 0.1886116990008304, 0.18412950899983116, 0.183423866999874, 0.18533793799906562, 0.1871947440013173, 0.18437967199861305, 0.18754398400051286, 0.1844256040003529, 0.19394371700036572, 0.18235447400002158, 0.18652554499931284, 0.18547575199954736, 0.1876326670007984, 0.18733329200040316, 0.18418798499988043, 0.18444716799967864, 0.18682006000017282, 0.18439626100007445, 0.1869537719994696, 0.1857993659996282, 0.18408860100134916, 0.18290657399847987, 0.18482342900097137, 0.18729083099970012, 0.18791317700015497, 0.19039741400047205, 0.18265625899948645, 0.18508776899943769, 0.18776128600075026, 0.18658335299915052, 0.18638874700081942, 0.18774282699996547, 0.18368308099888964, 0.1880490430012287, 0.19140858999890042, 0.18980554600057076, 0.18688938100058294, 0.19359212400013348, 0.1877189869992435, 0.19035294599962072, 0.1890135100002226, 0.18998163300057058, 0.19055255300008866, 0.18953942999905848]",tokens/s,5.337211870402115,,
+float32-sdpa,pytorch,2.4.1+cpu,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,deci,Deci/DeciLM-7B,Deci/DeciLM-7B,cpu,,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,False,,False,spawn, Intel(R) Xeon(R) Platinum 8488C,32,66326.188032,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,,,"Traceback (most recent call last):
+  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
+    benchmark_report = Benchmark.launch(benchmark_config)
+  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
+    report = launcher.launch(worker=cls.run, worker_args=[config])
+  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
+    raise ChildProcessError(response[""traceback""])
+ChildProcessError: Traceback (most recent call last):
+  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
+    report = worker(*worker_args)
+  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
+    report = scenario.run(backend)
+  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
+    self.run_model_loading_tracking(backend)
+  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
+    backend.load()
+  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
+    self.load_transformers_model()
+  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
+    self.load_transformers_model_with_no_weights()
+  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 126, 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 559, 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: 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"")`
+
+",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
+float16-sdpa,pytorch,2.4.1+cpu,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,deci,Deci/DeciLM-7B,Deci/DeciLM-7B,cpu,,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,False,,False,spawn, Intel(R) Xeon(R) Platinum 8488C,32,66326.188032,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,,,"Traceback (most recent call last):
+  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
+    benchmark_report = Benchmark.launch(benchmark_config)
+  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
+    report = launcher.launch(worker=cls.run, worker_args=[config])
+  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
+    raise ChildProcessError(response[""traceback""])
+ChildProcessError: Traceback (most recent call last):
+  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
+    report = worker(*worker_args)
+  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
+    report = scenario.run(backend)
+  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
+    self.run_model_loading_tracking(backend)
+  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
+    backend.load()
+  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
+    self.load_transformers_model()
+  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
+    self.load_transformers_model_with_no_weights()
+  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 126, 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 559, 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: 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"")`
+
+",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
+bfloat16-sdpa,pytorch,2.4.1+cpu,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,Deci/DeciCoder-1b,Deci/DeciCoder-1b,cpu,,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,False,,False,spawn, Intel(R) Xeon(R) Platinum 8488C,32,66326.188032,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,,,"Traceback (most recent call last):
+  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
+    benchmark_report = Benchmark.launch(benchmark_config)
+  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
+    report = launcher.launch(worker=cls.run, worker_args=[config])
+  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
+    raise ChildProcessError(response[""traceback""])
+ChildProcessError: Traceback (most recent call last):
+  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
+    report = worker(*worker_args)
+  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
+    report = scenario.run(backend)
+  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
+    self.run_model_loading_tracking(backend)
+  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
+    backend.load()
+  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
+    self.load_transformers_model()
+  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
+    self.load_transformers_model_with_no_weights()
+  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 126, 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 559, in from_pretrained
+    return model_class.from_pretrained(
+  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3832, in from_pretrained
+    model = cls(config, *model_args, **model_kwargs)
+  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 248, in __init__
+    self.model = DeciCoderModel(config)
+  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 215, in __init__
+    self.layers = nn.ModuleList([DeciCoderDecoderLayer(config) for _ in range(config.num_hidden_layers)])
+  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 215, in <listcomp>
+    self.layers = nn.ModuleList([DeciCoderDecoderLayer(config) for _ in range(config.num_hidden_layers)])
+  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 181, in __init__
+    self.self_attn = DeciCoderAttention(config=config)
+  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 54, in __init__
+    self._init_rope()
+  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1729, in __getattr__
+    raise AttributeError(f""'{type(self).__name__}' object has no attribute '{name}'"")
+AttributeError: 'DeciCoderAttention' object has no attribute '_init_rope'
+
+",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
+bfloat16-sdpa,pytorch,2.4.1+cpu,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,deci,Deci/DeciLM-7B,Deci/DeciLM-7B,cpu,,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,False,,False,spawn, Intel(R) Xeon(R) Platinum 8488C,32,66326.188032,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,,,"Traceback (most recent call last):
+  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
+    benchmark_report = Benchmark.launch(benchmark_config)
+  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
+    report = launcher.launch(worker=cls.run, worker_args=[config])
+  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
+    raise ChildProcessError(response[""traceback""])
+ChildProcessError: Traceback (most recent call last):
+  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
+    report = worker(*worker_args)
+  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
+    report = scenario.run(backend)
+  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
+    self.run_model_loading_tracking(backend)
+  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
+    backend.load()
+  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
+    self.load_transformers_model()
+  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
+    self.load_transformers_model_with_no_weights()
+  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 126, 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 559, 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: 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,2.4.1+cpu,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,Deci/DeciCoder-1b,Deci/DeciCoder-1b,cpu,,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,False,,False,spawn, Intel(R) Xeon(R) Platinum 8488C,32,66326.188032,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,,,"Traceback (most recent call last):
+  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
+    benchmark_report = Benchmark.launch(benchmark_config)
+  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
+    report = launcher.launch(worker=cls.run, worker_args=[config])
+  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
+    raise ChildProcessError(response[""traceback""])
+ChildProcessError: Traceback (most recent call last):
+  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
+    report = worker(*worker_args)
+  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
+    report = scenario.run(backend)
+  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
+    self.run_model_loading_tracking(backend)
+  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
+    backend.load()
+  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
+    self.load_transformers_model()
+  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
+    self.load_transformers_model_with_no_weights()
+  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 126, 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 559, in from_pretrained
+    return model_class.from_pretrained(
+  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3832, in from_pretrained
+    model = cls(config, *model_args, **model_kwargs)
+  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 248, in __init__
+    self.model = DeciCoderModel(config)
+  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 215, in __init__
+    self.layers = nn.ModuleList([DeciCoderDecoderLayer(config) for _ in range(config.num_hidden_layers)])
+  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 215, in <listcomp>
+    self.layers = nn.ModuleList([DeciCoderDecoderLayer(config) for _ in range(config.num_hidden_layers)])
+  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 181, in __init__
+    self.self_attn = DeciCoderAttention(config=config)
+  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 54, in __init__
+    self._init_rope()
+  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1729, in __getattr__
+    raise AttributeError(f""'{type(self).__name__}' object has no attribute '{name}'"")
+AttributeError: 'DeciCoderAttention' object has no attribute '_init_rope'
+
+",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
+bfloat16-eager,pytorch,2.4.1+cpu,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,Deci/DeciCoder-1b,Deci/DeciCoder-1b,cpu,,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,False,,False,spawn, Intel(R) Xeon(R) Platinum 8488C,32,66326.188032,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,,,"Traceback (most recent call last):
+  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
     benchmark_report = Benchmark.launch(benchmark_config)
   File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
     report = launcher.launch(worker=cls.run, worker_args=[config])
-  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
+  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
     raise ChildProcessError(response[""traceback""])
 ChildProcessError: Traceback (most recent call last):
-  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
+  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
     report = worker(*worker_args)
   File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
     report = scenario.run(backend)
   File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
     self.run_model_loading_tracking(backend)
-  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
-    context_stack.enter_context(energy_tracker.track())
-  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
-    result = _cm_type.__enter__(cm)
-  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
-    return next(self.gen)
-  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 174, in track
-    self.emission_tracker.start_task()
-  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
-    if self._scheduler:
-AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'
+  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
+    backend.load()
+  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
+    self.load_transformers_model()
+  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
+    self.load_transformers_model_with_no_weights()
+  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 126, 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 559, in from_pretrained
+    return model_class.from_pretrained(
+  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3832, in from_pretrained
+    model = cls(config, *model_args, **model_kwargs)
+  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 248, in __init__
+    self.model = DeciCoderModel(config)
+  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 215, in __init__
+    self.layers = nn.ModuleList([DeciCoderDecoderLayer(config) for _ in range(config.num_hidden_layers)])
+  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 215, in <listcomp>
+    self.layers = nn.ModuleList([DeciCoderDecoderLayer(config) for _ in range(config.num_hidden_layers)])
+  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 181, in __init__
+    self.self_attn = DeciCoderAttention(config=config)
+  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 54, in __init__
+    self._init_rope()
+  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1729, in __getattr__
+    raise AttributeError(f""'{type(self).__name__}' object has no attribute '{name}'"")
+AttributeError: 'DeciCoderAttention' object has no attribute '_init_rope'
 
 ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
-float16-eager-pytorch,pytorch,2.4.1+cpu,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/polyglot-ko-12.8b,EleutherAI/polyglot-ko-12.8b,cpu,,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,False,,False,spawn, Intel(R) Xeon(R) Platinum 8488C,32,66326.188032,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,,,,MB,26443.382784,,,,,s,1,416.0725446910001,416.0725446910001,0.0,416.0725446910001,416.0725446910001,416.0725446910001,416.0725446910001,[416.0725446910001],,kWh,0.004881660385143748,0.002660693515757511,0,0.007542353900901259,,MB,27043.291136,,,,,s,10,35.84458376100338,3.5844583761003377,0.007329127151613124,3.581920324500061,3.5933664820999183,3.59342874005024,3.593478546410497,"[3.5934909980005614, 3.5806673650004086, 3.578081989000566, 3.570503140001165, 3.5930893710010423, 3.582125721999546, 3.5900059239993425, 3.593352646999847, 3.5817149270005757, 3.5815516780003236]",tokens/s,71.41943723127054,kWh,4.222885850826313e-05,2.3016187507371003e-05,0.0,6.524504601563414e-05,tokens/kWh,3923669.544790524,MB,27315.351552,,,,,s,10,191.71148664899556,19.171148664899555,0.045699471895773496,19.166182255499734,19.235882381699593,19.243812118349616,19.250155907669633,"[19.156944663000104, 19.202089746999263, 19.111819742998705, 19.251741854999636, 19.23412021799959, 19.175419847999365, 19.133905310000046, 19.11193912899944, 19.18669035899984, 19.146815776999574]",tokens/s,3.286188068393975,kWh,0.0002262354940516688,0.00012330715505750746,0.0,0.00034954264910917624,tokens/kWh,180235.51678331124,,s,630,191.70293175499864,0.30429036786507724,0.0018862060580412715,0.30394128000079945,0.30653846689892816,0.3081794959993204,0.3102356020798288,"[0.3071339079997415, 0.3039268569991691, 0.3025128429999313, 0.3030618900011177, 0.3028014229985274, 0.3019031950007047, 0.30257120600072085, 0.30231144499884977, 0.3047235340000043, 0.3035496350003086, 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0.30261192500074685, 0.30164105699986976, 0.3018576579997898, 0.3009523460004857, 0.30081379399962316, 0.30222629200034135, 0.3022622459993727, 0.30430213200088474, 0.3029304659994523, 0.3037095500003488, 0.3037285529990186, 0.3040030840002146, 0.30296583000017563, 0.3032651609992172, 0.30354356700081553, 0.3092657279994455, 0.3046112350002659, 0.304800977000923, 0.30445797799984575, 0.3033229329994356, 0.3023557960004837, 0.30576182900040294, 0.30506530099955853, 0.303907702998913, 0.3042684280007961, 0.30499370799952885, 0.3061601130011695, 0.3047164689996862, 0.30355477999910363, 0.3034126210004615, 0.3035775600001216, 0.3042765699992742, 0.3038325610013999, 0.30556072799845424, 0.3043188170013309]",tokens/s,3.286334717119279,,
-float16-eager-pytorch,pytorch,2.4.1+cpu,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt2,openai-community/gpt2,openai-community/gpt2,cpu,,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,False,,False,spawn, Intel(R) Xeon(R) Platinum 8488C,32,66326.188032,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,,,"Traceback (most recent call last):
-  File ""/workspace/llm_perf/update_llm_perf_cpu_pytorch.py"", line 114, in benchmark_cpu_pytorch
+float32-eager,pytorch,2.4.1+cpu,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,Deci/DeciCoder-1b,Deci/DeciCoder-1b,cpu,,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,False,,False,spawn, Intel(R) Xeon(R) Platinum 8488C,32,66326.188032,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,,,"Traceback (most recent call last):
+  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
     benchmark_report = Benchmark.launch(benchmark_config)
   File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
     report = launcher.launch(worker=cls.run, worker_args=[config])
-  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
+  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
     raise ChildProcessError(response[""traceback""])
 ChildProcessError: Traceback (most recent call last):
-  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
+  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
     report = worker(*worker_args)
   File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
     report = scenario.run(backend)
   File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
     self.run_model_loading_tracking(backend)
-  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
-    context_stack.enter_context(energy_tracker.track())
-  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
-    result = _cm_type.__enter__(cm)
-  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
-    return next(self.gen)
-  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 174, in track
-    self.emission_tracker.start_task()
-  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
-    if self._scheduler:
-AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'
+  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
+    backend.load()
+  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
+    self.load_transformers_model()
+  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
+    self.load_transformers_model_with_no_weights()
+  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 126, 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 559, in from_pretrained
+    return model_class.from_pretrained(
+  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3832, in from_pretrained
+    model = cls(config, *model_args, **model_kwargs)
+  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 248, in __init__
+    self.model = DeciCoderModel(config)
+  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 215, in __init__
+    self.layers = nn.ModuleList([DeciCoderDecoderLayer(config) for _ in range(config.num_hidden_layers)])
+  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 215, in <listcomp>
+    self.layers = nn.ModuleList([DeciCoderDecoderLayer(config) for _ in range(config.num_hidden_layers)])
+  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 181, in __init__
+    self.self_attn = DeciCoderAttention(config=config)
+  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 54, in __init__
+    self._init_rope()
+  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1729, in __getattr__
+    raise AttributeError(f""'{type(self).__name__}' object has no attribute '{name}'"")
+AttributeError: 'DeciCoderAttention' object has no attribute '_init_rope'
 
 ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
-float16-eager-pytorch,pytorch,2.4.1+cpu,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,codegen,Salesforce/codegen-6B-nl,Salesforce/codegen-6B-nl,cpu,,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,False,,False,spawn, Intel(R) Xeon(R) Platinum 8488C,32,66326.188032,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,,,"Traceback (most recent call last):
-  File ""/workspace/llm_perf/update_llm_perf_cpu_pytorch.py"", line 114, in benchmark_cpu_pytorch
+float16-sdpa,pytorch,2.4.1+cpu,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,Deci/DeciCoder-1b,Deci/DeciCoder-1b,cpu,,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,False,,False,spawn, Intel(R) Xeon(R) Platinum 8488C,32,66326.188032,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,,,"Traceback (most recent call last):
+  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
     benchmark_report = Benchmark.launch(benchmark_config)
   File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
     report = launcher.launch(worker=cls.run, worker_args=[config])
-  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
+  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
     raise ChildProcessError(response[""traceback""])
 ChildProcessError: Traceback (most recent call last):
-  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
+  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
     report = worker(*worker_args)
   File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
     report = scenario.run(backend)
   File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
     self.run_model_loading_tracking(backend)
-  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
-    context_stack.enter_context(energy_tracker.track())
-  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
-    result = _cm_type.__enter__(cm)
-  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
-    return next(self.gen)
-  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 174, in track
-    self.emission_tracker.start_task()
-  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
-    if self._scheduler:
-AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'
+  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
+    backend.load()
+  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
+    self.load_transformers_model()
+  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
+    self.load_transformers_model_with_no_weights()
+  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 126, 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 559, in from_pretrained
+    return model_class.from_pretrained(
+  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3832, in from_pretrained
+    model = cls(config, *model_args, **model_kwargs)
+  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 248, in __init__
+    self.model = DeciCoderModel(config)
+  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 215, in __init__
+    self.layers = nn.ModuleList([DeciCoderDecoderLayer(config) for _ in range(config.num_hidden_layers)])
+  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 215, in <listcomp>
+    self.layers = nn.ModuleList([DeciCoderDecoderLayer(config) for _ in range(config.num_hidden_layers)])
+  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 181, in __init__
+    self.self_attn = DeciCoderAttention(config=config)
+  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 54, in __init__
+    self._init_rope()
+  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1729, in __getattr__
+    raise AttributeError(f""'{type(self).__name__}' object has no attribute '{name}'"")
+AttributeError: 'DeciCoderAttention' object has no attribute '_init_rope'
 
 ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
-float16-eager-pytorch,pytorch,2.4.1+cpu,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-410m,EleutherAI/pythia-410m,cpu,,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,False,,False,spawn, Intel(R) Xeon(R) Platinum 8488C,32,66326.188032,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,,,"Traceback (most recent call last):
-  File ""/workspace/llm_perf/update_llm_perf_cpu_pytorch.py"", line 114, in benchmark_cpu_pytorch
+float16-eager,pytorch,2.4.1+cpu,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,Deci/DeciCoder-1b,Deci/DeciCoder-1b,cpu,,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,False,,False,spawn, Intel(R) Xeon(R) Platinum 8488C,32,66326.188032,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,,,"Traceback (most recent call last):
+  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
     benchmark_report = Benchmark.launch(benchmark_config)
   File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
     report = launcher.launch(worker=cls.run, worker_args=[config])
-  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
+  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
     raise ChildProcessError(response[""traceback""])
 ChildProcessError: Traceback (most recent call last):
-  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
+  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
     report = worker(*worker_args)
   File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
     report = scenario.run(backend)
   File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
     self.run_model_loading_tracking(backend)
-  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
-    context_stack.enter_context(energy_tracker.track())
-  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
-    result = _cm_type.__enter__(cm)
-  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
-    return next(self.gen)
-  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 174, in track
-    self.emission_tracker.start_task()
-  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
-    if self._scheduler:
-AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'
+  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
+    backend.load()
+  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
+    self.load_transformers_model()
+  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
+    self.load_transformers_model_with_no_weights()
+  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 126, 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 559, in from_pretrained
+    return model_class.from_pretrained(
+  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3832, in from_pretrained
+    model = cls(config, *model_args, **model_kwargs)
+  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 248, in __init__
+    self.model = DeciCoderModel(config)
+  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 215, in __init__
+    self.layers = nn.ModuleList([DeciCoderDecoderLayer(config) for _ in range(config.num_hidden_layers)])
+  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 215, in <listcomp>
+    self.layers = nn.ModuleList([DeciCoderDecoderLayer(config) for _ in range(config.num_hidden_layers)])
+  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 181, in __init__
+    self.self_attn = DeciCoderAttention(config=config)
+  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 54, in __init__
+    self._init_rope()
+  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1729, in __getattr__
+    raise AttributeError(f""'{type(self).__name__}' object has no attribute '{name}'"")
+AttributeError: 'DeciCoderAttention' object has no attribute '_init_rope'
 
 ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
 float16-sdpa-pytorch,pytorch,2.4.1+cpu,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen,Qwen/Qwen-7B,Qwen/Qwen-7B,cpu,,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,False,,False,spawn, Intel(R) Xeon(R) Platinum 8488C,32,66326.188032,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,,,"Traceback (most recent call last):
@@ -11864,8 +12629,67 @@ ChildProcessError: Traceback (most recent call last):
     if self._scheduler:
 AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'
 
+",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
+float32-eager,pytorch,2.4.1+cpu,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,01-ai/Yi-34B,01-ai/Yi-34B,cpu,,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,False,,False,spawn, Intel(R) Xeon(R) Platinum 8488C,32,66326.188032,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,,,"Traceback (most recent call last):
+  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
+    benchmark_report = Benchmark.launch(benchmark_config)
+  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
+    report = launcher.launch(worker=cls.run, worker_args=[config])
+  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 57, in launch
+    raise RuntimeError(f""Isolated process exited with non-zero code {isolated_process.exitcode}"")
+RuntimeError: Isolated process exited with non-zero code -9
+",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
+float16-eager,pytorch,2.4.1+cpu,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,01-ai/Yi-34B,01-ai/Yi-34B,cpu,,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,False,,False,spawn, Intel(R) Xeon(R) Platinum 8488C,32,66326.188032,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,,,"Traceback (most recent call last):
+  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
+    benchmark_report = Benchmark.launch(benchmark_config)
+  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
+    report = launcher.launch(worker=cls.run, worker_args=[config])
+  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 57, in launch
+    raise RuntimeError(f""Isolated process exited with non-zero code {isolated_process.exitcode}"")
+RuntimeError: Isolated process exited with non-zero code -9
 ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
 float32-eager,pytorch,2.4.1+cpu,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,01-ai/Yi-6B,01-ai/Yi-6B,cpu,,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,False,,False,spawn, Intel(R) Xeon(R) Platinum 8488C,32,66326.188032,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,,,,MB,24692.92032,,,,,s,1,61.0899072480006,61.0899072480006,0.0,61.0899072480006,61.0899072480006,61.0899072480006,61.0899072480006,[61.0899072480006],,kWh,0.0006868174514916746,0.0003743408938746743,0,0.0010611583453663488,,MB,25403.76064,,,,,s,10,15.104732252999383,1.5104732252999384,0.006551634276574619,1.509945861000233,1.5190867528990566,1.5213107964495975,1.5230900312900304,"[1.5088509880006313, 1.503296873999716, 1.5010647159997461, 1.5144136610015266, 1.5059537689994613, 1.5235348400001385, 1.5068245349993958, 1.5111596149999968, 1.5185925209989364, 1.5110407339998346]",tokens/s,169.48330874859795,kWh,1.7811766050834118e-05,9.707917005322481e-06,0.0,2.7519683056156597e-05,tokens/kWh,9302432.716161992,MB,25410.277376,,,,,s,10,102.26865267500034,10.226865267500035,0.05118511636110205,10.217199449999498,10.302062812399527,10.30311705619988,10.303960451240163,"[10.227535673999228, 10.260083082001074, 10.304171300000235, 10.159133708999434, 10.301828535999448, 10.172796729000765, 10.18930609400013, 10.177889008999045, 10.206863225999768, 10.269045316001211]",tokens/s,6.160245427326374,kWh,0.00012040841521492996,6.562728329229307e-05,0.0,0.00018603569850722307,tokens/kWh,338644.68220626994,,s,630,102.26462578399878,0.1623248028317441,0.003398559620761968,0.16204792899952736,0.16663295990128973,0.16846189580028295,0.17188225235919163,"[0.1626301689993852, 0.15950255400093738, 0.16004992999842216, 0.1610017910006718, 0.1565360980002879, 0.15939343699938036, 0.16052873500120768, 0.15982096900006582, 0.164525270998638, 0.16164533800110803, 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+float32-sdpa,pytorch,2.4.1+cpu,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,01-ai/Yi-34B,01-ai/Yi-34B,cpu,,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,False,,False,spawn, Intel(R) Xeon(R) Platinum 8488C,32,66326.188032,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,,,"Traceback (most recent call last):
+  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
+    benchmark_report = Benchmark.launch(benchmark_config)
+  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
+    report = launcher.launch(worker=cls.run, worker_args=[config])
+  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 57, in launch
+    raise RuntimeError(f""Isolated process exited with non-zero code {isolated_process.exitcode}"")
+RuntimeError: Isolated process exited with non-zero code -9
+",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
+bfloat16-eager,pytorch,2.4.1+cpu,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,01-ai/Yi-6B,01-ai/Yi-6B,cpu,,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,False,,False,spawn, Intel(R) Xeon(R) Platinum 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+float16-sdpa,pytorch,2.4.1+cpu,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,01-ai/Yi-34B,01-ai/Yi-34B,cpu,,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,False,,False,spawn, Intel(R) Xeon(R) Platinum 8488C,32,66326.188032,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,,,"Traceback (most recent call last):
+  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
+    benchmark_report = Benchmark.launch(benchmark_config)
+  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
+    report = launcher.launch(worker=cls.run, worker_args=[config])
+  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 57, in launch
+    raise RuntimeError(f""Isolated process exited with non-zero code {isolated_process.exitcode}"")
+RuntimeError: Isolated process exited with non-zero code -9
+",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
+bfloat16-eager,pytorch,2.4.1+cpu,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,01-ai/Yi-34B,01-ai/Yi-34B,cpu,,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,False,,False,spawn, Intel(R) Xeon(R) Platinum 8488C,32,66326.188032,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,,,"Traceback (most recent call last):
+  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
+    benchmark_report = Benchmark.launch(benchmark_config)
+  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
+    report = launcher.launch(worker=cls.run, worker_args=[config])
+  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 57, in launch
+    raise RuntimeError(f""Isolated process exited with non-zero code {isolated_process.exitcode}"")
+RuntimeError: Isolated process exited with non-zero code -9
+",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
+float16-eager,pytorch,2.4.1+cpu,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,01-ai/Yi-6B,01-ai/Yi-6B,cpu,,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,False,,False,spawn, Intel(R) Xeon(R) Platinum 8488C,32,66326.188032,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,,,,MB,12558.036992,,,,,s,1,193.8872097809999,193.8872097809999,0.0,193.8872097809999,193.8872097809999,193.8872097809999,193.8872097809999,[193.8872097809999],,kWh,0.0022609050236562615,0.0012322798463658018,0,0.0034931848700220634,,MB,12691.718144,,,,,s,10,16.738576115998512,1.6738576115998511,0.010800180471687328,1.6720147619998897,1.6916467256998657,1.6929623938495753,1.6940149283693426,"[1.6678740850002214, 1.678766489998452, 1.672741901000336, 1.6736433009991742, 1.6712876229994436, 1.6655557890007913, 1.6627640940005222, 1.6942780619992845, 1.6913543549999304, 1.6603104160003568]",tokens/s,152.94012957011233,kWh,1.9505171417918316e-05,1.0630876048241694e-05,0.0,3.0136047466160008e-05,tokens/kWh,8494810.087071449,MB,12692.533248,,,,,s,10,98.76354555999933,9.876354555999933,0.028002269870754617,9.873164013999485,9.906572571100877,9.913453593551003,9.918958411511102,"[9.896818301000167, 9.920334616001128, 9.843533854998896, 9.865826811999796, 9.852913845999865, 9.902921904000323, 9.87743615799991, 9.90504345500085, 9.829824742999335, 9.86889186999906]",tokens/s,6.378871844138807,kWh,0.00011694550305638724,6.373986501091205e-05,0.0,0.00018068536806729928,tokens/kWh,348672.39485897165,,s,630,98.75912739899832,0.1567605196809497,0.0018994161394678324,0.15647142499983602,0.15934302229961758,0.16020810060072108,0.16220102290959404,"[0.15795900100056315, 0.15518204199906904, 0.15601076200073294, 0.16246675299953495, 0.15492045700011658, 0.15567315999942366, 0.1580178040003375, 0.16222637499959092, 0.15615350300140562, 0.15589747000012721, 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+bfloat16-sdpa,pytorch,2.4.1+cpu,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,01-ai/Yi-34B,01-ai/Yi-34B,cpu,,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,False,,False,spawn, Intel(R) Xeon(R) Platinum 8488C,32,66326.188032,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,,,"Traceback (most recent call last):
+  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
+    benchmark_report = Benchmark.launch(benchmark_config)
+  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
+    report = launcher.launch(worker=cls.run, worker_args=[config])
+  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 57, in launch
+    raise RuntimeError(f""Isolated process exited with non-zero code {isolated_process.exitcode}"")
+RuntimeError: Isolated process exited with non-zero code -9
+",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
+bfloat16-sdpa,pytorch,2.4.1+cpu,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,01-ai/Yi-6B,01-ai/Yi-6B,cpu,,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,False,,False,spawn, Intel(R) Xeon(R) Platinum 8488C,32,66326.188032,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,,,,MB,12557.336576,,,,,s,1,160.62633338100022,160.62633338100022,0.0,160.62633338100022,160.62633338100022,160.62633338100022,160.62633338100022,[160.62633338100022],,kWh,0.0018660494217909687,0.0010170680129037454,0,0.0028831174346947144,,MB,12694.07744,,,,,s,10,20.679765909000707,2.067976590900071,0.012530350348158956,2.064916370500214,2.0832773158992497,2.090563481449499,2.0963924138896983,"[2.0556161110016546, 2.0570776450003905, 2.0648791450003046, 2.056279305001226, 2.0625295429999824, 2.081658167999194, 2.097849646999748, 2.065633540998533, 2.064953596000123, 2.073289207999551]",tokens/s,123.79250380613736,kWh,2.4435538898889413e-05,1.33181122855769e-05,0.0,3.775365118446632e-05,tokens/kWh,6780801.113756404,MB,12695.53152,,,,,s,10,76.14153990500017,7.614153990500017,0.03506812326714269,7.619351832500797,7.649846638900454,7.65383846695031,7.657031929390196,"[7.642027145999236, 7.648959566000485, 7.59521109599882, 7.548814944999322, 7.562598181000794, 7.657830295000167, 7.614479887000925, 7.624223778000669, 7.644094593999398, 7.603300417000355]",tokens/s,8.274064338415466,kWh,9.008497942215174e-05,4.909984729598886e-05,0.0,0.00013918482671814063,tokens/kWh,452635.5457378955,,s,630,76.1376211099996,0.12085336684126921,0.001771900464142561,0.1205072904995177,0.1231182550003723,0.12411805325018577,0.12653798199098673,"[0.1251336169989372, 0.12180716900002153, 0.12246660299933865, 0.12156948200026818, 0.12075947000084852, 0.12197730700063403, 0.123119460999078, 0.12044800900002883, 0.12094718300068052, 0.12045296899850655, 0.11939885400170169, 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 float32-eager,pytorch,2.4.1+cpu,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen,Qwen/Qwen-7B,Qwen/Qwen-7B,cpu,,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,False,,False,spawn, Intel(R) Xeon(R) Platinum 8488C,32,66326.188032,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,,,"Traceback (most recent call last):
   File ""/workspace/llm_perf/common/benchmark_runner.py"", line 106, in execute_and_log_benchmark
     benchmark_report = Benchmark.launch(benchmark_config)