config.name,config.backend.name,config.backend.version,config.backend._target_,config.backend.task,config.backend.library,config.backend.model_type,config.backend.model,config.backend.processor,config.backend.device,config.backend.device_ids,config.backend.seed,config.backend.inter_op_num_threads,config.backend.intra_op_num_threads,config.backend.model_kwargs.trust_remote_code,config.backend.no_weights,config.backend.device_map,config.backend.torch_dtype,config.backend.eval_mode,config.backend.to_bettertransformer,config.backend.low_cpu_mem_usage,config.backend.attn_implementation,config.backend.cache_implementation,config.backend.autocast_enabled,config.backend.autocast_dtype,config.backend.torch_compile,config.backend.torch_compile_target,config.backend.quantization_scheme,config.backend.quantization_config.quant_type,config.backend.quantization_config.group_size,config.backend.deepspeed_inference,config.backend.peft_type,config.scenario.name,config.scenario._target_,config.scenario.iterations,config.scenario.duration,config.scenario.warmup_runs,config.scenario.input_shapes.batch_size,config.scenario.input_shapes.sequence_length,config.scenario.new_tokens,config.scenario.memory,config.scenario.latency,config.scenario.energy,config.scenario.generate_kwargs.max_new_tokens,config.scenario.generate_kwargs.min_new_tokens,config.launcher.name,config.launcher._target_,config.launcher.device_isolation,config.launcher.device_isolation_action,config.launcher.numactl,config.launcher.start_method,config.environment.cpu,config.environment.cpu_count,config.environment.cpu_ram_mb,config.environment.system,config.environment.machine,config.environment.platform,config.environment.processor,config.environment.python_version,config.environment.gpu,config.environment.gpu_count,config.environment.gpu_vram_mb,config.environment.optimum_benchmark_version,config.environment.optimum_benchmark_commit,config.environment.transformers_version,config.environment.transformers_commit,config.environment.accelerate_version,config.environment.accelerate_commit,config.environment.diffusers_version,config.environment.diffusers_commit,config.environment.optimum_version,config.environment.optimum_commit,config.environment.timm_version,config.environment.timm_commit,config.environment.peft_version,config.environment.peft_commit,config.print_report,config.log_report,report.traceback,report.load_model.memory.unit,report.load_model.memory.max_ram,report.load_model.memory.max_global_vram,report.load_model.memory.max_process_vram,report.load_model.memory.max_reserved,report.load_model.memory.max_allocated,report.load_model.latency.unit,report.load_model.latency.values,report.load_model.latency.count,report.load_model.latency.total,report.load_model.latency.mean,report.load_model.latency.p50,report.load_model.latency.p90,report.load_model.latency.p95,report.load_model.latency.p99,report.load_model.latency.stdev,report.load_model.latency.stdev_,report.load_model.throughput,report.load_model.energy.unit,report.load_model.energy.cpu,report.load_model.energy.ram,report.load_model.energy.gpu,report.load_model.energy.total,report.load_model.efficiency,report.prefill.memory.unit,report.prefill.memory.max_ram,report.prefill.memory.max_global_vram,report.prefill.memory.max_process_vram,report.prefill.memory.max_reserved,report.prefill.memory.max_allocated,report.prefill.latency.unit,report.prefill.latency.values,report.prefill.latency.count,report.prefill.latency.total,report.prefill.latency.mean,report.prefill.latency.p50,report.prefill.latency.p90,report.prefill.latency.p95,report.prefill.latency.p99,report.prefill.latency.stdev,report.prefill.latency.stdev_,report.prefill.throughput.unit,report.prefill.throughput.value,report.prefill.energy.unit,report.prefill.energy.cpu,report.prefill.energy.ram,report.prefill.energy.gpu,report.prefill.energy.total,report.prefill.efficiency.unit,report.prefill.efficiency.value,report.decode.memory.unit,report.decode.memory.max_ram,report.decode.memory.max_global_vram,report.decode.memory.max_process_vram,report.decode.memory.max_reserved,report.decode.memory.max_allocated,report.decode.latency.unit,report.decode.latency.values,report.decode.latency.count,report.decode.latency.total,report.decode.latency.mean,report.decode.latency.p50,report.decode.latency.p90,report.decode.latency.p95,report.decode.latency.p99,report.decode.latency.stdev,report.decode.latency.stdev_,report.decode.throughput.unit,report.decode.throughput.value,report.decode.energy.unit,report.decode.energy.cpu,report.decode.energy.ram,report.decode.energy.gpu,report.decode.energy.total,report.decode.efficiency.unit,report.decode.efficiency.value,report.per_token.memory,report.per_token.latency.unit,report.per_token.latency.values,report.per_token.latency.count,report.per_token.latency.total,report.per_token.latency.mean,report.per_token.latency.p50,report.per_token.latency.p90,report.per_token.latency.p95,report.per_token.latency.p99,report.per_token.latency.stdev,report.per_token.latency.stdev_,report.per_token.throughput,report.per_token.energy,report.per_token.efficiency torchao-int4wo-128-eager,pytorch,2.5.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Llama-3.1-8B-Instruct,meta-llama/Llama-3.1-8B-Instruct,cuda,0,42,,,True,True,,bfloat16,True,False,,eager,,False,,False,forward,torchao,int4_weight_only,128,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.747328,Linux,x86_64,Linux-5.10.228-219.884.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0.dev0,,4.47.0,,1.2.0,,,,1.23.3,,,,0.14.0,,False,True,"Traceback (most recent call last): File ""/workspace/llm_perf/common/benchmark_runner.py"", line 148, in execute_and_log_benchmark benchmark_report = Benchmark.launch(benchmark_config) File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 51, in launch report = launcher.launch(worker=Benchmark.run, worker_args=[config]) File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch raise ChildProcessError(response[""traceback""]) ChildProcessError: Traceback (most recent call last): File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/launchers/process/launcher.py"", line 103, in target report = worker(*worker_args) File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 78, in run report = scenario.run(backend) File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/scenarios/inference/scenario.py"", line 129, in run self.run_model_loading_tracking() File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/scenarios/inference/scenario.py"", line 184, in run_model_loading_tracking self.backend.load() File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 72, in load self.load_transformers_model() File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 152, in load_transformers_model self.load_transformers_model_with_no_weights() File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 134, in load_transformers_model_with_no_weights self.load_transformers_model_from_pretrained() File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 86, in load_transformers_model_from_pretrained self.pretrained_model = self.automodel_loader.from_pretrained( File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained return model_class.from_pretrained( File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4342, in from_pretrained dispatch_model(model, **device_map_kwargs) File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 498, in dispatch_model model.to(device) File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3164, in to return super().to(*args, **kwargs) File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1340, in to return self._apply(convert) File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 900, in _apply module._apply(fn) File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 927, in _apply param_applied = fn(param) File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1326, in convert return t.to( torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1002.00 MiB. GPU 0 has a total capacity of 14.74 GiB of which 548.12 MiB is free. Process 60634 has 14.20 GiB memory in use. Of the allocated memory 13.98 GiB is allocated by PyTorch, and 129.48 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, torchao-int4wo-128-sdpa,pytorch,2.5.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Llama-3.1-8B-Instruct,meta-llama/Llama-3.1-8B-Instruct,cuda,0,42,,,True,True,,bfloat16,True,False,,sdpa,,False,,False,forward,torchao,int4_weight_only,128,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.747328,Linux,x86_64,Linux-5.10.228-219.884.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0.dev0,,4.47.0,,1.2.0,,,,1.23.3,,,,0.14.0,,False,True,"Traceback (most recent call last): File ""/workspace/llm_perf/common/benchmark_runner.py"", line 148, in execute_and_log_benchmark benchmark_report = Benchmark.launch(benchmark_config) File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 51, in launch report = launcher.launch(worker=Benchmark.run, worker_args=[config]) File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch raise ChildProcessError(response[""traceback""]) ChildProcessError: Traceback (most recent call last): File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/launchers/process/launcher.py"", line 103, in target report = worker(*worker_args) File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 78, in run report = scenario.run(backend) File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/scenarios/inference/scenario.py"", line 129, in run self.run_model_loading_tracking() File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/scenarios/inference/scenario.py"", line 184, in run_model_loading_tracking self.backend.load() File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 72, in load self.load_transformers_model() File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 152, in load_transformers_model self.load_transformers_model_with_no_weights() File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 134, in load_transformers_model_with_no_weights self.load_transformers_model_from_pretrained() File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 86, in load_transformers_model_from_pretrained self.pretrained_model = self.automodel_loader.from_pretrained( File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained return model_class.from_pretrained( File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4342, in from_pretrained dispatch_model(model, **device_map_kwargs) File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 498, in dispatch_model model.to(device) File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3164, in to return super().to(*args, **kwargs) File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1340, in to return self._apply(convert) File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 900, in _apply module._apply(fn) File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 927, in _apply param_applied = fn(param) File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1326, in convert return t.to( torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1002.00 MiB. GPU 0 has a total capacity of 14.74 GiB of which 548.12 MiB is free. Process 61104 has 14.20 GiB memory in use. Of the allocated memory 13.98 GiB is allocated by PyTorch, and 129.48 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, torchao-int4wo-128-flash_attention_2,pytorch,2.5.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Llama-3.1-8B-Instruct,meta-llama/Llama-3.1-8B-Instruct,cuda,0,42,,,True,True,,bfloat16,True,False,,flash_attention_2,,False,,False,forward,torchao,int4_weight_only,128,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.747328,Linux,x86_64,Linux-5.10.228-219.884.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0.dev0,,4.47.0,,1.2.0,,,,1.23.3,,,,0.14.0,,False,True,"Traceback (most recent call last): File ""/workspace/llm_perf/common/benchmark_runner.py"", line 148, in execute_and_log_benchmark benchmark_report = Benchmark.launch(benchmark_config) File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 51, in launch report = launcher.launch(worker=Benchmark.run, worker_args=[config]) File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch raise ChildProcessError(response[""traceback""]) ChildProcessError: Traceback (most recent call last): File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/launchers/process/launcher.py"", line 103, in target report = worker(*worker_args) File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 78, in run report = scenario.run(backend) File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/scenarios/inference/scenario.py"", line 129, in run self.run_model_loading_tracking() File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/scenarios/inference/scenario.py"", line 184, in run_model_loading_tracking self.backend.load() File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 72, in load self.load_transformers_model() File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 152, in load_transformers_model self.load_transformers_model_with_no_weights() File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 134, in load_transformers_model_with_no_weights self.load_transformers_model_from_pretrained() File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 86, in load_transformers_model_from_pretrained self.pretrained_model = self.automodel_loader.from_pretrained( File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained return model_class.from_pretrained( File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4342, in from_pretrained dispatch_model(model, **device_map_kwargs) File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 498, in dispatch_model model.to(device) File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3164, in to return super().to(*args, **kwargs) File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1340, in to return self._apply(convert) File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 900, in _apply module._apply(fn) File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 927, in _apply param_applied = fn(param) File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1326, in convert return t.to( torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1002.00 MiB. GPU 0 has a total capacity of 14.74 GiB of which 548.12 MiB is free. Process 61616 has 14.20 GiB memory in use. Of the allocated memory 13.98 GiB is allocated by PyTorch, and 129.48 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, torchao-int4wo-128-sdpa,pytorch,2.5.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,bloom,bigscience/bloomz-560m,bigscience/bloomz-560m,cuda,0,42,,,True,True,,bfloat16,True,False,,sdpa,,False,,False,forward,torchao,int4_weight_only,128,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.747328,Linux,x86_64,Linux-5.10.228-219.884.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0.dev0,,4.47.0,,1.2.0,,,,1.23.3,,,,0.14.0,,False,True,"Traceback (most recent call last): File ""/workspace/llm_perf/common/benchmark_runner.py"", line 148, in execute_and_log_benchmark benchmark_report = Benchmark.launch(benchmark_config) File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 51, in launch report = launcher.launch(worker=Benchmark.run, worker_args=[config]) File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch raise ChildProcessError(response[""traceback""]) ChildProcessError: Traceback (most recent call last): File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/launchers/process/launcher.py"", line 103, in target report = worker(*worker_args) File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 78, in run report = scenario.run(backend) File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/scenarios/inference/scenario.py"", line 129, in run self.run_model_loading_tracking() File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/scenarios/inference/scenario.py"", line 184, in run_model_loading_tracking self.backend.load() File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 72, in load self.load_transformers_model() File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 152, in load_transformers_model self.load_transformers_model_with_no_weights() File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 134, in load_transformers_model_with_no_weights self.load_transformers_model_from_pretrained() File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 86, in load_transformers_model_from_pretrained self.pretrained_model = self.automodel_loader.from_pretrained( File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained return model_class.from_pretrained( File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4124, in from_pretrained config = cls._autoset_attn_implementation( File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1597, in _autoset_attn_implementation config = cls._check_and_enable_sdpa( File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1795, in _check_and_enable_sdpa raise ValueError( ValueError: BloomForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")` ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, torchao-int4wo-128-eager,pytorch,2.5.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,bloom,bigscience/bloomz-560m,bigscience/bloomz-560m,cuda,0,42,,,True,True,,bfloat16,True,False,,eager,,False,,False,forward,torchao,int4_weight_only,128,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.747328,Linux,x86_64,Linux-5.10.228-219.884.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla 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0.017013023376464844, 0.0177388801574707, 0.017547712326049805, 0.017160736083984374, 0.017129215240478515, 0.017133600234985353, 0.01705308723449707, 0.017035871505737304, 0.01707948875427246, 0.016986047744750977]",3510,64.0541930789949,0.018249057857263464,0.017167200088500978,0.017566015243530273,0.017745533180236812,0.09511526489257813,0.008892866629657811,48.73055200555619,,, torchao-int4wo-128-flash_attention_2,pytorch,2.5.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,bloom,bigscience/bloomz-560m,bigscience/bloomz-560m,cuda,0,42,,,True,True,,bfloat16,True,False,,flash_attention_2,,False,,False,forward,torchao,int4_weight_only,128,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.747328,Linux,x86_64,Linux-5.10.228-219.884.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0.dev0,,4.47.0,,1.2.0,,,,1.23.3,,,,0.14.0,,False,True,"Traceback (most recent call last): File ""/workspace/llm_perf/common/benchmark_runner.py"", line 148, in execute_and_log_benchmark benchmark_report = Benchmark.launch(benchmark_config) File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 51, in launch report = launcher.launch(worker=Benchmark.run, worker_args=[config]) File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch raise ChildProcessError(response[""traceback""]) ChildProcessError: Traceback (most recent call last): File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/launchers/process/launcher.py"", line 103, in target report = worker(*worker_args) File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 78, in run report = scenario.run(backend) File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/scenarios/inference/scenario.py"", line 129, in run self.run_model_loading_tracking() File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/scenarios/inference/scenario.py"", line 184, in run_model_loading_tracking self.backend.load() File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 72, in load self.load_transformers_model() File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 152, in load_transformers_model self.load_transformers_model_with_no_weights() File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 134, in load_transformers_model_with_no_weights self.load_transformers_model_from_pretrained() File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 86, in load_transformers_model_from_pretrained self.pretrained_model = self.automodel_loader.from_pretrained( File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained return model_class.from_pretrained( File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4124, in from_pretrained config = cls._autoset_attn_implementation( File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1586, in _autoset_attn_implementation cls._check_and_enable_flash_attn_2( File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1707, in _check_and_enable_flash_attn_2 raise ValueError( ValueError: BloomForCausalLM does not support Flash Attention 2.0 yet. Please request to add support where the model is hosted, on its model hub page: https://huggingface.co//tmp/tmpuqshomqm/no_weights_model/discussions/new or in the Transformers GitHub repo: https://github.com/huggingface/transformers/issues/new ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, torchao-int4wo-128-sdpa,pytorch,2.5.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-125m,facebook/opt-125m,cuda,0,42,,,True,True,,bfloat16,True,False,,sdpa,,False,,False,forward,torchao,int4_weight_only,128,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.747328,Linux,x86_64,Linux-5.10.228-219.884.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla 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torchao-int4wo-128-flash_attention_2,pytorch,2.5.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-125m,facebook/opt-125m,cuda,0,42,,,True,True,,bfloat16,True,False,,flash_attention_2,,False,,False,forward,torchao,int4_weight_only,128,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.747328,Linux,x86_64,Linux-5.10.228-219.884.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0.dev0,,4.47.0,,1.2.0,,,,1.23.3,,,,0.14.0,,False,True,"Traceback (most recent call last): File ""/workspace/llm_perf/common/benchmark_runner.py"", line 148, in execute_and_log_benchmark benchmark_report = Benchmark.launch(benchmark_config) File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 51, in launch report = launcher.launch(worker=Benchmark.run, worker_args=[config]) File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch raise ChildProcessError(response[""traceback""]) ChildProcessError: Traceback (most recent call last): File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/launchers/process/launcher.py"", line 103, in target report = worker(*worker_args) File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 78, in run report = scenario.run(backend) File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/scenarios/inference/scenario.py"", line 136, in run self.warmup_text_generation() File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/scenarios/inference/scenario.py"", line 196, in warmup_text_generation self.backend.generate(self.inputs, self.config.generate_kwargs) File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context return func(*args, **kwargs) File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 446, in generate return self.pretrained_model.generate(**inputs, **kwargs) File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context return func(*args, **kwargs) File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2252, in generate result = self._sample( File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3251, in _sample outputs = self(**model_inputs, return_dict=True) File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1736, in _wrapped_call_impl return self._call_impl(*args, **kwargs) File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1747, in _call_impl return forward_call(*args, **kwargs) File ""/usr/local/lib/python3.10/dist-packages/transformers/models/opt/modeling_opt.py"", line 1176, in forward outputs = self.model.decoder( File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1736, in _wrapped_call_impl return self._call_impl(*args, **kwargs) File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1747, in _call_impl return forward_call(*args, **kwargs) File ""/usr/local/lib/python3.10/dist-packages/transformers/models/opt/modeling_opt.py"", line 933, in forward layer_outputs = decoder_layer( File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1736, in _wrapped_call_impl return self._call_impl(*args, **kwargs) File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1747, in _call_impl return forward_call(*args, **kwargs) File ""/usr/local/lib/python3.10/dist-packages/transformers/models/opt/modeling_opt.py"", line 530, in forward hidden_states, self_attn_weights, present_key_value = self.self_attn( File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1736, in _wrapped_call_impl return self._call_impl(*args, **kwargs) File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1747, in _call_impl return forward_call(*args, **kwargs) File ""/usr/local/lib/python3.10/dist-packages/transformers/models/opt/modeling_opt.py"", line 353, in forward attn_output = _flash_attention_forward( File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 363, in _flash_attention_forward attn_output = flash_attn_func( File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 1168, in flash_attn_func return FlashAttnFunc.apply( File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 575, in apply return super().apply(*args, **kwargs) # type: ignore[misc] File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 815, in forward out_padded, softmax_lse, S_dmask, rng_state = _wrapped_flash_attn_forward( File ""/usr/local/lib/python3.10/dist-packages/torch/_ops.py"", line 1116, in __call__ return self._op(*args, **(kwargs or {})) File ""/usr/local/lib/python3.10/dist-packages/torch/_library/custom_ops.py"", line 324, in backend_impl result = self._backend_fns[device_type](*args, **kwargs) File ""/usr/local/lib/python3.10/dist-packages/torch/_compile.py"", line 32, in inner return disable_fn(*args, **kwargs) File ""/usr/local/lib/python3.10/dist-packages/torch/_dynamo/eval_frame.py"", line 632, in _fn return fn(*args, **kwargs) File ""/usr/local/lib/python3.10/dist-packages/torch/_library/custom_ops.py"", line 367, in wrapped_fn return fn(*args, **kwargs) File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 96, in _flash_attn_forward out, softmax_lse, S_dmask, rng_state = flash_attn_gpu.fwd( RuntimeError: FlashAttention only supports Ampere GPUs or newer. ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, torchao-int4wo-128-eager,pytorch,2.5.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-125m,facebook/opt-125m,cuda,0,42,,,True,True,,bfloat16,True,False,,eager,,False,,False,forward,torchao,int4_weight_only,128,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.747328,Linux,x86_64,Linux-5.10.228-219.884.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla 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0.009136223793029785, 0.009300512313842773, 0.009184736251831055, 0.009223008155822754, 0.009163680076599122, 0.009161375999450683, 0.009186752319335937]",9775,92.86596032238081,0.009500353997174431,0.009236479759216308,0.009468895721435548,0.00972156810760498,0.024165311813354493,0.001767745799697487,18.60715716723024,,, torchao-int4wo-128-flash_attention_2,pytorch,2.5.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt2,openai-community/gpt2,openai-community/gpt2,cuda,0,42,,,True,True,,bfloat16,True,False,,flash_attention_2,,False,,False,forward,torchao,int4_weight_only,128,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.747328,Linux,x86_64,Linux-5.10.228-219.884.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0.dev0,,4.47.0,,1.2.0,,,,1.23.3,,,,0.14.0,,False,True,"Traceback (most recent call last): File ""/workspace/llm_perf/common/benchmark_runner.py"", line 148, in execute_and_log_benchmark benchmark_report = Benchmark.launch(benchmark_config) File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 51, in launch report = launcher.launch(worker=Benchmark.run, worker_args=[config]) File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch raise ChildProcessError(response[""traceback""]) ChildProcessError: Traceback (most recent call last): File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/launchers/process/launcher.py"", line 103, in target report = worker(*worker_args) File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 78, in run report = scenario.run(backend) File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/scenarios/inference/scenario.py"", line 136, in run self.warmup_text_generation() File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/scenarios/inference/scenario.py"", line 196, in warmup_text_generation self.backend.generate(self.inputs, self.config.generate_kwargs) File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context return func(*args, **kwargs) File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 446, in generate return self.pretrained_model.generate(**inputs, **kwargs) File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context return func(*args, **kwargs) File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2252, in generate result = self._sample( File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3251, in _sample outputs = self(**model_inputs, return_dict=True) File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1736, in _wrapped_call_impl return self._call_impl(*args, **kwargs) File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1747, in _call_impl return forward_call(*args, **kwargs) File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt2/modeling_gpt2.py"", line 1272, in forward transformer_outputs = self.transformer( File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1736, in _wrapped_call_impl return self._call_impl(*args, **kwargs) File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1747, in _call_impl return forward_call(*args, **kwargs) File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt2/modeling_gpt2.py"", line 1133, in forward outputs = block( File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1736, in _wrapped_call_impl return self._call_impl(*args, **kwargs) File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1747, in _call_impl return forward_call(*args, **kwargs) File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt2/modeling_gpt2.py"", line 615, in forward attn_outputs = self.attn( File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1736, in _wrapped_call_impl return self._call_impl(*args, **kwargs) File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1747, in _call_impl return forward_call(*args, **kwargs) File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt2/modeling_gpt2.py"", line 436, in forward attn_output = _flash_attention_forward( File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 363, in _flash_attention_forward attn_output = flash_attn_func( File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 1168, in flash_attn_func return FlashAttnFunc.apply( File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 575, in apply return super().apply(*args, **kwargs) # type: ignore[misc] File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 815, in forward out_padded, softmax_lse, S_dmask, rng_state = _wrapped_flash_attn_forward( File ""/usr/local/lib/python3.10/dist-packages/torch/_ops.py"", line 1116, in __call__ return self._op(*args, **(kwargs or {})) File ""/usr/local/lib/python3.10/dist-packages/torch/_library/custom_ops.py"", line 324, in backend_impl result = self._backend_fns[device_type](*args, **kwargs) File ""/usr/local/lib/python3.10/dist-packages/torch/_compile.py"", line 32, in inner return disable_fn(*args, **kwargs) File ""/usr/local/lib/python3.10/dist-packages/torch/_dynamo/eval_frame.py"", line 632, in _fn return fn(*args, **kwargs) File ""/usr/local/lib/python3.10/dist-packages/torch/_library/custom_ops.py"", line 367, in wrapped_fn return fn(*args, **kwargs) File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 96, in _flash_attn_forward out, softmax_lse, S_dmask, rng_state = flash_attn_gpu.fwd( RuntimeError: FlashAttention only supports Ampere GPUs or newer. 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torchao-int4wo-128-flash_attention_2,pytorch,2.5.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gemma2,google/gemma-2-2b,google/gemma-2-2b,cuda,0,42,,,True,True,,bfloat16,True,False,,flash_attention_2,,False,,False,forward,torchao,int4_weight_only,128,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.747328,Linux,x86_64,Linux-5.10.228-219.884.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0.dev0,,4.47.0,,1.2.0,,,,1.23.3,,,,0.14.0,,False,True,"Traceback (most recent call last): File ""/workspace/llm_perf/common/benchmark_runner.py"", line 148, in execute_and_log_benchmark benchmark_report = Benchmark.launch(benchmark_config) File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 51, in launch report = launcher.launch(worker=Benchmark.run, worker_args=[config]) File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch raise ChildProcessError(response[""traceback""]) ChildProcessError: Traceback (most recent call last): File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/launchers/process/launcher.py"", line 103, in target report = worker(*worker_args) File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 78, in run report = scenario.run(backend) File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/scenarios/inference/scenario.py"", line 136, in run self.warmup_text_generation() File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/scenarios/inference/scenario.py"", line 196, in warmup_text_generation self.backend.generate(self.inputs, self.config.generate_kwargs) File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context return func(*args, **kwargs) File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 446, in generate return self.pretrained_model.generate(**inputs, **kwargs) File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context return func(*args, **kwargs) File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2252, in generate result = self._sample( File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3251, in _sample outputs = self(**model_inputs, return_dict=True) File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1736, in _wrapped_call_impl return self._call_impl(*args, **kwargs) File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1747, in _call_impl return forward_call(*args, **kwargs) File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gemma2/modeling_gemma2.py"", line 977, in forward outputs = self.model( File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1736, in _wrapped_call_impl return self._call_impl(*args, **kwargs) File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1747, in _call_impl return forward_call(*args, **kwargs) File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gemma2/modeling_gemma2.py"", line 763, in forward layer_outputs = decoder_layer( File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1736, in _wrapped_call_impl return self._call_impl(*args, **kwargs) File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1747, in _call_impl return forward_call(*args, **kwargs) File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gemma2/modeling_gemma2.py"", line 479, in forward hidden_states, self_attn_weights, present_key_value = self.self_attn( File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1736, in _wrapped_call_impl return self._call_impl(*args, **kwargs) File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1747, in _call_impl return forward_call(*args, **kwargs) File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gemma2/modeling_gemma2.py"", line 402, in forward attn_output, attn_weights = GEMMA2_ATTENTION_FUNCTION[attention_type]( File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gemma2/modeling_gemma2.py"", line 239, in flash_attention_forward use_top_left_mask=config._flash_attn_uses_top_left_mask, File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1931, in __getattr__ raise AttributeError( AttributeError: 'Gemma2Attention' object has no attribute '_flash_attn_uses_top_left_mask' ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, torchao-int4wo-128-sdpa,pytorch,2.5.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gemma2,google/gemma-2-2b,google/gemma-2-2b,cuda,0,42,,,True,True,,bfloat16,True,False,,sdpa,,False,,False,forward,torchao,int4_weight_only,128,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.747328,Linux,x86_64,Linux-5.10.228-219.884.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0.dev0,,4.47.0,,1.2.0,,,,1.23.3,,,,0.14.0,,False,True,,MB,915.480576,5821.56288,0.0,5435.817984,5229.745664,s,[2.96945849609375],1,2.96945849609375,2.96945849609375,2.96945849609375,2.96945849609375,2.96945849609375,2.96945849609375,0,0,,kWh,0.00029993726102082595,3.307796830005692e-05,9.811480071400536e-05,0.00043113003003488826,,MB,1408.851968,5934.809088,0.0,5519.704064,5302.260736,s,"[0.3660724182128906, 0.3656097106933594, 0.3658203430175781, 0.365935302734375, 0.36609912109375, 0.36747122192382814, 0.3692146301269531, 0.3675445861816406, 0.36618341064453125, 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