IlyasMoutawwakil's picture
Upload cuda_inference_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json with huggingface_hub
c859346 verified
raw
history blame
10.3 kB
{
"config": {
"name": "cuda_inference_transformers_multiple-choice_FacebookAI/roberta-base",
"backend": {
"name": "pytorch",
"version": "2.2.2+rocm5.7",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "multiple-choice",
"library": "transformers",
"model_type": "roberta",
"model": "FacebookAI/roberta-base",
"processor": "FacebookAI/roberta-base",
"device": "cuda",
"device_ids": "0",
"seed": 42,
"inter_op_num_threads": null,
"intra_op_num_threads": null,
"model_kwargs": {},
"processor_kwargs": {},
"no_weights": true,
"device_map": null,
"torch_dtype": null,
"eval_mode": true,
"to_bettertransformer": false,
"low_cpu_mem_usage": null,
"attn_implementation": null,
"cache_implementation": null,
"autocast_enabled": false,
"autocast_dtype": null,
"torch_compile": false,
"torch_compile_target": "forward",
"torch_compile_config": {},
"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": 1,
"duration": 1,
"warmup_runs": 1,
"input_shapes": {
"batch_size": 1,
"num_choices": 2,
"sequence_length": 2
},
"new_tokens": null,
"memory": true,
"latency": true,
"energy": false,
"forward_kwargs": {},
"generate_kwargs": {
"max_new_tokens": 2,
"min_new_tokens": 2
},
"call_kwargs": {
"num_inference_steps": 2
}
},
"launcher": {
"name": "process",
"_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
"device_isolation": true,
"device_isolation_action": "error",
"numactl": false,
"numactl_kwargs": {},
"start_method": "spawn"
},
"environment": {
"cpu": " AMD EPYC 7763 64-Core Processor",
"cpu_count": 128,
"cpu_ram_mb": 1082015.236096,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-5.15.0-84-generic-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.12",
"gpu": [
"Advanced Micro Devices, Inc. [AMD/ATI]"
],
"gpu_count": 1,
"gpu_vram_mb": 68702699520,
"optimum_benchmark_version": "0.3.1",
"optimum_benchmark_commit": "9337b863a5d9e4991ca83847e6c2f66a543b52d9",
"transformers_version": "4.42.4",
"transformers_commit": null,
"accelerate_version": "0.32.1",
"accelerate_commit": null,
"diffusers_version": "0.29.2",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.7",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
}
},
"report": {
"load": {
"memory": {
"unit": "MB",
"max_ram": 902.344704,
"max_global_vram": 841.76896,
"max_process_vram": 50038.874112,
"max_reserved": 555.74528,
"max_allocated": 499.37152
},
"latency": {
"unit": "s",
"count": 1,
"total": 7.96819091796875,
"mean": 7.96819091796875,
"stdev": 0.0,
"p50": 7.96819091796875,
"p90": 7.96819091796875,
"p95": 7.96819091796875,
"p99": 7.96819091796875,
"values": [
7.96819091796875
]
},
"throughput": null,
"energy": null,
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 1011.716096,
"max_global_vram": 898.27328,
"max_process_vram": 241489.24416,
"max_reserved": 555.74528,
"max_allocated": 499.5072
},
"latency": {
"unit": "s",
"count": 114,
"total": 0.9940255174636843,
"mean": 0.008719522083014773,
"stdev": 0.00015940407541259184,
"p50": 0.008700615882873537,
"p90": 0.008912630844116212,
"p95": 0.009003142261505127,
"p99": 0.009116591386795044,
"values": [
0.00866861629486084,
0.008649575233459472,
0.009037734985351563,
0.009077895164489745,
0.0089254150390625,
0.008848455429077149,
0.008991974830627442,
0.00898349380493164,
0.008674375534057617,
0.008631654739379883,
0.008600456237792969,
0.008676135063171386,
0.009008134841918945,
0.008713415145874023,
0.008439656257629394,
0.008462535858154296,
0.008432777404785156,
0.008410057067871094,
0.008414216041564941,
0.008409095764160155,
0.008420616149902345,
0.008431336402893067,
0.008413416862487793,
0.00842669677734375,
0.008440296173095703,
0.008421256065368652,
0.008544615745544434,
0.00858973503112793,
0.008597415924072266,
0.008639495849609375,
0.008680775642395019,
0.008641414642333985,
0.008836455345153808,
0.008806694984436035,
0.00870029640197754,
0.008761095046997071,
0.008833575248718261,
0.008733895301818848,
0.008767814636230468,
0.00871357536315918,
0.008669734954833985,
0.008691816329956055,
0.008652774810791016,
0.008637255668640136,
0.008632615089416503,
0.008745736122131347,
0.008669095993041992,
0.008654694557189941,
0.00859389591217041,
0.008606375694274903,
0.008774214744567872,
0.008652774810791016,
0.008718536376953126,
0.008776776313781738,
0.008746535301208495,
0.008675015449523926,
0.008601736068725586,
0.00865261459350586,
0.0087145357131958,
0.008803495407104492,
0.00900045394897461,
0.008767174720764161,
0.008683815956115722,
0.008696934700012208,
0.008681896209716797,
0.008652615547180175,
0.008607175827026367,
0.008639016151428223,
0.008646535873413085,
0.008601896286010742,
0.008716614723205566,
0.008666376113891601,
0.008937094688415527,
0.008716135978698731,
0.00871357536315918,
0.008691176414489746,
0.008679176330566406,
0.008832454681396484,
0.009057574272155762,
0.009122373580932618,
0.008847655296325684,
0.008851655006408691,
0.008893574714660644,
0.008830374717712402,
0.00870589542388916,
0.008737415313720702,
0.008749575614929199,
0.00885133457183838,
0.008902694702148438,
0.00876381492614746,
0.008730055809020996,
0.008690376281738282,
0.00867485523223877,
0.008684776306152343,
0.008700935363769532,
0.008618696212768555,
0.008638694763183593,
0.008640456199645995,
0.008869094848632813,
0.00887741470336914,
0.008692296028137207,
0.008755655288696288,
0.008717894554138184,
0.009247174263000488,
0.008672934532165527,
0.008907814979553223,
0.008914694786071778,
0.00883261489868164,
0.008907814979553223,
0.008708935737609863,
0.00874477481842041,
0.008795655250549317,
0.008801254272460937,
0.008830215454101563
]
},
"throughput": {
"unit": "samples/s",
"value": 114.68518463276261
},
"energy": null,
"efficiency": null
}
}
}