diff --git "a/perf-df-bnb-1xA10.csv" "b/perf-df-bnb-1xA10.csv" --- "a/perf-df-bnb-1xA10.csv" +++ "b/perf-df-bnb-1xA10.csv" @@ -4906,7 +4906,7 @@ ValueError: CodeGenForCausalLM does not support an attention implementation thro ",,,,, 4bit-bnb-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,,EleutherAI/pythia-410m,EleutherAI/pythia-410m,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.29792,Linux,x86_64,Linux-5.10.218-208.862.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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+8bit-bnb-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Llama-3.1-405B,meta-llama/Llama-3.1-405B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.2,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): File ""/workspace/src/common/benchmark_runner.py"", line 118, in execute_and_log_benchmark benchmark_report = Benchmark.launch(benchmark_config) File 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A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,"Traceback (most recent call last): +4bit-bnb-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Llama-3.1-405B,meta-llama/Llama-3.1-405B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.2,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,"Traceback (most recent call last): File ""/workspace/src/common/benchmark_runner.py"", line 118, 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 47, in launch @@ -5376,10 +5376,10 @@ ChildProcessError: Traceback (most recent call last): w_4bit, quant_state = bnb.functional.quantize_4bit( File ""/usr/local/lib/python3.10/dist-packages/bitsandbytes/functional.py"", line 1196, in quantize_4bit out = torch.zeros(((n + 1) // mod, 1), dtype=quant_storage, device=A.device) -torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 416.00 MiB. GPU 0 has a total capacity of 22.18 GiB of which 22.50 MiB is free. Process 24828 has 22.16 GiB memory in use. Of the allocated memory 21.83 GiB is allocated by PyTorch, and 41.40 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) +torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 416.00 MiB. GPU 0 has a total capacity of 22.18 GiB of which 22.50 MiB is free. Process 25169 has 22.16 GiB memory in use. Of the allocated memory 21.83 GiB is allocated by PyTorch, and 41.40 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) ",,,,, -8bit-bnb-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Llama-3.1-405B,meta-llama/Llama-3.1-405B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): +8bit-bnb-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Llama-3.1-405B,meta-llama/Llama-3.1-405B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.2,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): File ""/workspace/src/common/benchmark_runner.py"", line 118, 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 47, in launch @@ -5388,7 +5388,7 @@ torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 416.00 MiB. GPU 0 raise RuntimeError(f""Isolated process exited with non-zero code {isolated_process.exitcode}"") RuntimeError: Isolated process exited with non-zero code -9 ",,,,, -4bit-bnb-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Llama-3.1-405B,meta-llama/Llama-3.1-405B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,"Traceback (most recent call last): +4bit-bnb-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Llama-3.1-405B,meta-llama/Llama-3.1-405B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.2,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,"Traceback (most recent call last): File ""/workspace/src/common/benchmark_runner.py"", line 118, 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 47, in launch @@ -5432,11 +5432,11 @@ ChildProcessError: Traceback (most recent call last): w_4bit, quant_state = bnb.functional.quantize_4bit( File ""/usr/local/lib/python3.10/dist-packages/bitsandbytes/functional.py"", line 1196, in quantize_4bit out = torch.zeros(((n + 1) // mod, 1), dtype=quant_storage, device=A.device) -torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 416.00 MiB. GPU 0 has a total capacity of 22.18 GiB of which 22.50 MiB is free. Process 27024 has 22.16 GiB memory in use. Of the allocated memory 21.83 GiB is allocated by PyTorch, and 41.40 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) +torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 416.00 MiB. GPU 0 has a total capacity of 22.18 GiB of which 22.50 MiB is free. Process 27208 has 22.16 GiB memory in use. Of the allocated memory 21.83 GiB is allocated by PyTorch, and 41.40 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) ",,,,, 4bit-bnb-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Meta-Llama-3-8B,meta-llama/Meta-Llama-3-8B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,MB,884.584448,6712.459264,0.0,6075.449344,6044.13184,s,1,12.6656181640625,12.6656181640625,0.0,12.6656181640625,12.6656181640625,12.6656181640625,12.6656181640625,[12.6656181640625],,kWh,5.2495551483329765e-05,2.8752648029521254e-05,7.95986747900157e-05,0.00016084687430286673,,MB,1561.030656,7240.941568,0.0,6587.154432,6470.128128,s,10,3.390058380126953,0.3390058380126953,0.0001135406385866938,0.3389542388916016,0.33914345703125,0.3392134674072266,0.3392694757080078,"[0.3392834777832031, 0.33898101806640624, 0.33912789916992186, 0.33895346069335935, 0.3389482421875, 0.3389430541992188, 0.33890924072265627, 0.3390588073730469, 0.33889816284179686, 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0.12188569641113281]",tokens/s,8.548725111121685,,,,,,,,, -4bit-bnb-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Llama-3.1-405B,meta-llama/Llama-3.1-405B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,"Traceback (most recent call last): +4bit-bnb-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Llama-3.1-405B,meta-llama/Llama-3.1-405B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.2,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,"Traceback (most recent call last): File ""/workspace/src/common/benchmark_runner.py"", line 118, 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 47, in launch @@ -5494,7 +5494,7 @@ ChildProcessError: Traceback (most recent call last): w_4bit, quant_state = bnb.functional.quantize_4bit( File ""/usr/local/lib/python3.10/dist-packages/bitsandbytes/functional.py"", line 1196, in quantize_4bit out = torch.zeros(((n + 1) // mod, 1), dtype=quant_storage, device=A.device) -torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 416.00 MiB. GPU 0 has a total capacity of 22.18 GiB of which 22.50 MiB is free. Process 22688 has 22.16 GiB memory in use. Of the allocated memory 21.83 GiB is allocated by PyTorch, and 41.40 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) +torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 416.00 MiB. GPU 0 has a total capacity of 22.18 GiB of which 22.50 MiB is free. Process 23122 has 22.16 GiB memory in use. Of the allocated memory 21.83 GiB is allocated by PyTorch, and 41.40 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) ",,,,, 8bit-bnb-flash_attention_2,pytorch,2.4.1+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,,float16,True,False,,flash_attention_2,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA 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0.11890892791748046]",tokens/s,8.482051372971744,,,,,,,,, @@ -5537,7 +5537,7 @@ ChildProcessError: Traceback (most recent call last): ValueError: Phi3ForCausalLM 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"")` ",,,,, -4bit-bnb-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,phi3,microsoft/Phi-3-mini-4k-instruct,microsoft/Phi-3-mini-4k-instruct,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,"Traceback (most recent call last): +4bit-bnb-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,phi3,microsoft/Phi-3-mini-4k-instruct,microsoft/Phi-3-mini-4k-instruct,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.2,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,"Traceback (most recent call last): File ""/workspace/src/common/benchmark_runner.py"", line 118, 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 47, in launch @@ -9218,7 +9218,7 @@ RuntimeError: Isolated process exited with non-zero code -9 raise RuntimeError(f""Isolated process exited with non-zero code {isolated_process.exitcode}"") RuntimeError: Isolated process exited with non-zero code -9 ",,,,, -4bit-bnb-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,bloom,bigscience/bloomz-560m,bigscience/bloomz-560m,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,"Traceback (most recent call last): +4bit-bnb-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,bloom,bigscience/bloomz-560m,bigscience/bloomz-560m,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.2,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,"Traceback (most recent call last): File ""/workspace/src/common/benchmark_runner.py"", line 118, 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 47, in launch @@ -9250,10 +9250,10 @@ ChildProcessError: Traceback (most recent call last): cls._check_and_enable_flash_attn_2( File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1688, 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/tmplclp5l26/no_weights_model/discussions/new or in the Transformers GitHub repo: https://github.com/huggingface/transformers/issues/new +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/tmp5bkk_rnl/no_weights_model/discussions/new or in the Transformers GitHub repo: https://github.com/huggingface/transformers/issues/new ",,,,, -8bit-bnb-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,bloom,bigscience/bloomz-560m,bigscience/bloomz-560m,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): +8bit-bnb-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,bloom,bigscience/bloomz-560m,bigscience/bloomz-560m,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.2,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): File ""/workspace/src/common/benchmark_runner.py"", line 118, 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 47, in launch @@ -9285,12 +9285,12 @@ ChildProcessError: Traceback (most recent call last): cls._check_and_enable_flash_attn_2( File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1688, 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/tmp0ezktujl/no_weights_model/discussions/new or in the Transformers GitHub repo: https://github.com/huggingface/transformers/issues/new +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/tmpjp19ib4p/no_weights_model/discussions/new or in the Transformers GitHub repo: https://github.com/huggingface/transformers/issues/new ",,,,, 4bit-bnb-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,bloom,bigscience/bloomz-560m,bigscience/bloomz-560m,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,MB,975.003648,1352.138752,0.0,715.128832,705.334272,s,1,9.1342294921875,9.1342294921875,0.0,9.1342294921875,9.1342294921875,9.1342294921875,9.1342294921875,[9.1342294921875],,kWh,9.461945094445432e-06,5.138023320692668e-06,1.3764733234000737e-05,2.8364701649138836e-05,,MB,1551.478784,1719.140352,0.0,1065.353216,1002.182656,s,10,0.3755643196105957,0.03755643196105957,0.0006993228208078828,0.037654735565185546,0.0382918228149414,0.03829794425964356,0.03830284141540528,"[0.03657603073120117, 0.03716233444213867, 0.03825814437866211, 0.036969310760498045, 0.036876129150390624, 0.03820403289794922, 0.038290462493896484, 0.038304065704345705, 0.03677667236328125, 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0.05306880187988281, 0.05304422378540039, 0.053212158203125, 0.0531486701965332, 0.05313945770263672, 0.05310873413085938, 0.053152767181396485, 0.05303603363037109, 0.05340364837646484, 0.05329817581176758, 0.05312716674804688, 0.05305855941772461, 0.05382553482055664, 0.05342617416381836]",tokens/s,18.502279510725597,,,,,,,,, -8bit-bnb-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,bloom,bigscience/bloomz-560m,bigscience/bloomz-560m,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): +8bit-bnb-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,bloom,bigscience/bloomz-560m,bigscience/bloomz-560m,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.2,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last): File ""/workspace/src/common/benchmark_runner.py"", line 118, 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 47, in launch @@ -9325,7 +9325,7 @@ ChildProcessError: Traceback (most recent call last): 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"")` ",,,,, -4bit-bnb-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,bloom,bigscience/bloomz-560m,bigscience/bloomz-560m,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,"Traceback (most recent call last): +4bit-bnb-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,bloom,bigscience/bloomz-560m,bigscience/bloomz-560m,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, AMD EPYC 7R32,16,66697.261056,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['NVIDIA A10G'],1,24146608128,0.5.0,,4.45.2,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,True,"Traceback (most recent call last): File ""/workspace/src/common/benchmark_runner.py"", line 118, 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 47, in launch