|
{ |
|
"config": { |
|
"name": "pytorch_generate", |
|
"backend": { |
|
"name": "pytorch", |
|
"version": "2.3.0+cu121", |
|
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend", |
|
"task": "text-generation", |
|
"library": "transformers", |
|
"model": "google/gemma-2b", |
|
"processor": "google/gemma-2b", |
|
"device": "cuda", |
|
"device_ids": "0", |
|
"seed": 42, |
|
"inter_op_num_threads": null, |
|
"intra_op_num_threads": null, |
|
"model_kwargs": {}, |
|
"processor_kwargs": {}, |
|
"hub_kwargs": {}, |
|
"no_weights": true, |
|
"device_map": null, |
|
"torch_dtype": "float16", |
|
"eval_mode": true, |
|
"to_bettertransformer": false, |
|
"low_cpu_mem_usage": null, |
|
"attn_implementation": null, |
|
"cache_implementation": "static", |
|
"autocast_enabled": false, |
|
"autocast_dtype": null, |
|
"torch_compile": true, |
|
"torch_compile_target": "forward", |
|
"torch_compile_config": { |
|
"backend": "inductor", |
|
"mode": "reduce-overhead", |
|
"fullgraph": true |
|
}, |
|
"quantization_scheme": null, |
|
"quantization_config": {}, |
|
"deepspeed_inference": false, |
|
"deepspeed_inference_config": {}, |
|
"peft_type": null, |
|
"peft_config": {} |
|
}, |
|
"scenario": { |
|
"name": "inference", |
|
"_target_": "optimum_benchmark.scenarios.inference.scenario.InferenceScenario", |
|
"iterations": 2, |
|
"duration": 0, |
|
"warmup_runs": 10, |
|
"input_shapes": { |
|
"batch_size": 1, |
|
"num_choices": 2, |
|
"sequence_length": 7 |
|
}, |
|
"new_tokens": null, |
|
"latency": true, |
|
"memory": true, |
|
"energy": false, |
|
"forward_kwargs": {}, |
|
"generate_kwargs": { |
|
"max_new_tokens": 128, |
|
"min_new_tokens": 128, |
|
"do_sample": false |
|
}, |
|
"call_kwargs": {} |
|
}, |
|
"launcher": { |
|
"name": "process", |
|
"_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher", |
|
"device_isolation": true, |
|
"device_isolation_action": "warn", |
|
"start_method": "spawn" |
|
}, |
|
"environment": { |
|
"cpu": " AMD EPYC 7R32", |
|
"cpu_count": 16, |
|
"cpu_ram_mb": 66697.29792, |
|
"system": "Linux", |
|
"machine": "x86_64", |
|
"platform": "Linux-5.10.218-208.862.amzn2.x86_64-x86_64-with-glibc2.29", |
|
"processor": "x86_64", |
|
"python_version": "3.8.10", |
|
"gpu": [ |
|
"NVIDIA A10G" |
|
], |
|
"gpu_count": 1, |
|
"gpu_vram_mb": 24146608128, |
|
"optimum_benchmark_version": "0.2.1", |
|
"optimum_benchmark_commit": null, |
|
"transformers_version": "4.42.0.dev0", |
|
"transformers_commit": "1de7dc7403b3b89ec421d43a8c9ee245211a61f6", |
|
"accelerate_version": "0.32.0.dev0", |
|
"accelerate_commit": null, |
|
"diffusers_version": null, |
|
"diffusers_commit": null, |
|
"optimum_version": "1.21.0.dev0", |
|
"optimum_commit": null, |
|
"timm_version": "0.9.16", |
|
"timm_commit": null, |
|
"peft_version": "0.11.2.dev0", |
|
"peft_commit": null |
|
} |
|
}, |
|
"report": { |
|
"prefill": { |
|
"memory": { |
|
"unit": "MB", |
|
"max_ram": 1916.14976, |
|
"max_global_vram": 6094.848, |
|
"max_process_vram": 0.0, |
|
"max_reserved": 5379.19488, |
|
"max_allocated": 5021.251584 |
|
}, |
|
"latency": { |
|
"unit": "s", |
|
"count": 2, |
|
"total": 0.028479583740234377, |
|
"mean": 0.014239791870117188, |
|
"stdev": 0.00024481582641601527, |
|
"p50": 0.014239791870117188, |
|
"p90": 0.01443564453125, |
|
"p95": 0.014460126113891601, |
|
"p99": 0.014479711380004883, |
|
"values": [ |
|
0.014484607696533203, |
|
0.013994976043701172 |
|
] |
|
}, |
|
"throughput": { |
|
"unit": "tokens/s", |
|
"value": 491.5802185767756 |
|
}, |
|
"energy": null, |
|
"efficiency": null |
|
}, |
|
"decode": { |
|
"memory": { |
|
"unit": "MB", |
|
"max_ram": 2259.898368, |
|
"max_global_vram": 8907.128832, |
|
"max_process_vram": 0.0, |
|
"max_reserved": 5379.19488, |
|
"max_allocated": 5027.089408 |
|
}, |
|
"latency": { |
|
"unit": "s", |
|
"count": 2, |
|
"total": 3.14495654296875, |
|
"mean": 1.572478271484375, |
|
"stdev": 0.016987304687499982, |
|
"p50": 1.572478271484375, |
|
"p90": 1.586068115234375, |
|
"p95": 1.587766845703125, |
|
"p99": 1.589125830078125, |
|
"values": [ |
|
1.589465576171875, |
|
1.555490966796875 |
|
] |
|
}, |
|
"throughput": { |
|
"unit": "tokens/s", |
|
"value": 80.76423204252966 |
|
}, |
|
"energy": null, |
|
"efficiency": null |
|
}, |
|
"per_token": { |
|
"memory": null, |
|
"latency": { |
|
"unit": "s", |
|
"count": 253, |
|
"total": 3.146045446395877, |
|
"mean": 0.01243496223871887, |
|
"stdev": 0.0009081284315448639, |
|
"p50": 0.012266495704650878, |
|
"p90": 0.012724019241333009, |
|
"p95": 0.01275166721343994, |
|
"p99": 0.012791111679077148, |
|
"values": [ |
|
0.012653568267822265, |
|
0.01277337646484375, |
|
0.012687359809875488, |
|
0.012769280433654785, |
|
0.012736512184143066, |
|
0.012766207695007324, |
|
0.012687359809875488, |
|
0.012736512184143066, |
|
0.012752896308898925, |
|
0.01274060821533203, |
|
0.012731391906738282, |
|
0.012749823570251465, |
|
0.01267404842376709, |
|
0.012729344367980957, |
|
0.012662783622741699, |
|
0.012721152305603027, |
|
0.012692480087280274, |
|
0.012750847816467285, |
|
0.012681216239929198, |
|
0.01276211166381836, |
|
0.012696576118469239, |
|
0.012749823570251465, |
|
0.012696576118469239, |
|
0.012739583969116211, |
|
0.012691455841064453, |
|
0.012774399757385254, |
|
0.012650495529174804, |
|
0.012734463691711426, |
|
0.012692480087280274, |
|
0.012713983535766601, |
|
0.012683263778686523, |
|
0.01275391960144043, |
|
0.012705792427062988, |
|
0.012701696395874023, |
|
0.012786687850952149, |
|
0.012770303726196289, |
|
0.012721152305603027, |
|
0.012734463691711426, |
|
0.01267404842376709, |
|
0.012693504333496093, |
|
0.01262284755706787, |
|
0.012723199844360352, |
|
0.012691455841064453, |
|
0.012766207695007324, |
|
0.012670975685119629, |
|
0.01273855972290039, |
|
0.012696576118469239, |
|
0.012724224090576173, |
|
0.012660736083984376, |
|
0.012700672149658204, |
|
0.012705792427062988, |
|
0.012704768180847169, |
|
0.012668928146362305, |
|
0.012704768180847169, |
|
0.012646400451660156, |
|
0.012715007781982422, |
|
0.012635135650634765, |
|
0.012675071716308594, |
|
0.01295462417602539, |
|
0.012795904159545898, |
|
0.01267302417755127, |
|
0.012706815719604492, |
|
0.012627967834472656, |
|
0.012713983535766601, |
|
0.012554240226745606, |
|
0.012610560417175292, |
|
0.012390399932861328, |
|
0.012684288024902344, |
|
0.012297216415405274, |
|
0.012316672325134278, |
|
0.01238425636291504, |
|
0.01248256015777588, |
|
0.01255731201171875, |
|
0.012637184143066407, |
|
0.012265472412109376, |
|
0.012321791648864745, |
|
0.012327936172485352, |
|
0.012365823745727538, |
|
0.012409855842590332, |
|
0.012292096138000488, |
|
0.012228608131408691, |
|
0.01226035213470459, |
|
0.012233728408813477, |
|
0.012282879829406738, |
|
0.012357631683349609, |
|
0.012290047645568849, |
|
0.01224294376373291, |
|
0.012303359985351562, |
|
0.012231679916381836, |
|
0.012315648078918457, |
|
0.012218367576599122, |
|
0.012283904075622559, |
|
0.01222051239013672, |
|
0.012262304306030274, |
|
0.012215295791625976, |
|
0.012424192428588866, |
|
0.012231679916381836, |
|
0.01226956844329834, |
|
0.012217344284057617, |
|
0.01226956844329834, |
|
0.0122357759475708, |
|
0.012306431770324706, |
|
0.012224512100219726, |
|
0.012267519950866699, |
|
0.012225536346435547, |
|
0.012270591735839843, |
|
0.012244992256164551, |
|
0.012263423919677734, |
|
0.012225536346435547, |
|
0.01226137638092041, |
|
0.012237824440002442, |
|
0.01226854419708252, |
|
0.012212224006652832, |
|
0.01226035213470459, |
|
0.01224396800994873, |
|
0.012254207611083985, |
|
0.012215295791625976, |
|
0.012275712013244629, |
|
0.012230655670166016, |
|
0.01226035213470459, |
|
0.012225536346435547, |
|
0.012266495704650878, |
|
0.012237824440002442, |
|
0.012274687767028808, |
|
0.012240896224975586, |
|
0.01228492832183838, |
|
0.02647555160522461, |
|
0.01222755241394043, |
|
0.012282879829406738, |
|
0.01223475170135498, |
|
0.012264448165893555, |
|
0.012224512100219726, |
|
0.01226137638092041, |
|
0.012229632377624512, |
|
0.012265472412109376, |
|
0.01222758388519287, |
|
0.012273664474487305, |
|
0.012233728408813477, |
|
0.012278783798217773, |
|
0.012236800193786621, |
|
0.012285951614379884, |
|
0.012241920471191407, |
|
0.01226137638092041, |
|
0.012220416069030762, |
|
0.01226035213470459, |
|
0.012229632377624512, |
|
0.012255231857299804, |
|
0.012206080436706544, |
|
0.012257280349731446, |
|
0.012216320037841797, |
|
0.01226137638092041, |
|
0.012255231857299804, |
|
0.012259327888488769, |
|
0.012223487854003906, |
|
0.01225113582611084, |
|
0.012213248252868653, |
|
0.012279808044433594, |
|
0.012247039794921874, |
|
0.012267519950866699, |
|
0.012220416069030762, |
|
0.012267519950866699, |
|
0.012223487854003906, |
|
0.012265472412109376, |
|
0.012229632377624512, |
|
0.012270591735839843, |
|
0.012211199760437011, |
|
0.012271615982055664, |
|
0.012210176467895508, |
|
0.012267519950866699, |
|
0.012214271545410157, |
|
0.012294143676757812, |
|
0.012229632377624512, |
|
0.012288000106811523, |
|
0.012239871978759765, |
|
0.01225216007232666, |
|
0.012229632377624512, |
|
0.012264448165893555, |
|
0.012238847732543945, |
|
0.01227673625946045, |
|
0.012218367576599122, |
|
0.01225830364227295, |
|
0.012212224006652832, |
|
0.012263423919677734, |
|
0.012214271545410157, |
|
0.012249088287353516, |
|
0.012226559638977052, |
|
0.01225011157989502, |
|
0.012221440315246582, |
|
0.012256256103515625, |
|
0.012237824440002442, |
|
0.012282879829406738, |
|
0.012216320037841797, |
|
0.01225830364227295, |
|
0.012221440315246582, |
|
0.01226035213470459, |
|
0.012221440315246582, |
|
0.012262399673461915, |
|
0.012221440315246582, |
|
0.012255231857299804, |
|
0.012223487854003906, |
|
0.01226035213470459, |
|
0.012221440315246582, |
|
0.01225216007232666, |
|
0.012222463607788087, |
|
0.012275712013244629, |
|
0.012256256103515625, |
|
0.012282879829406738, |
|
0.012232704162597656, |
|
0.012262399673461915, |
|
0.01221939182281494, |
|
0.01229312038421631, |
|
0.012237824440002442, |
|
0.012272640228271485, |
|
0.012238847732543945, |
|
0.01226854419708252, |
|
0.012222463607788087, |
|
0.012273664474487305, |
|
0.012217344284057617, |
|
0.012262399673461915, |
|
0.01224294376373291, |
|
0.012274687767028808, |
|
0.012237824440002442, |
|
0.01227673625946045, |
|
0.012216320037841797, |
|
0.012254207611083985, |
|
0.012210176467895508, |
|
0.012267519950866699, |
|
0.012226559638977052, |
|
0.012259327888488769, |
|
0.012205056190490723, |
|
0.012255231857299804, |
|
0.012224512100219726, |
|
0.012263423919677734, |
|
0.012220416069030762, |
|
0.012266495704650878, |
|
0.012215295791625976, |
|
0.012247039794921874, |
|
0.012205056190490723, |
|
0.012267519950866699, |
|
0.012228608131408691, |
|
0.012274687767028808, |
|
0.012238847732543945, |
|
0.012254207611083985, |
|
0.012224512100219726, |
|
0.012271615982055664, |
|
0.012230655670166016, |
|
0.012279808044433594, |
|
0.012239871978759765, |
|
0.012256256103515625, |
|
0.012215295791625976, |
|
0.012272640228271485, |
|
0.012225536346435547, |
|
0.012298239707946777 |
|
] |
|
}, |
|
"throughput": { |
|
"unit": "tokens/s", |
|
"value": 80.41841871351163 |
|
}, |
|
"energy": null, |
|
"efficiency": null |
|
} |
|
} |
|
} |