IlyasMoutawwakil's picture
Upload cuda_inference_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json with huggingface_hub
b539fb9 verified
raw
history blame
12 kB
{
"config": {
"name": "cuda_inference_transformers_multiple-choice_FacebookAI/roberta-base",
"backend": {
"name": "pytorch",
"version": "2.3.1+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": "6",
"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": "warn",
"numactl": false,
"numactl_kwargs": {},
"start_method": "spawn"
},
"environment": {
"cpu": " AMD EPYC 7763 64-Core Processor",
"cpu_count": 128,
"cpu_ram_mb": 1082014.482432,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-5.15.0-122-generic-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.12",
"gpu": [
"Advanced Micro Devices, Inc. [AMD/ATI]",
"Advanced Micro Devices, Inc. [AMD/ATI]",
"Advanced Micro Devices, Inc. [AMD/ATI]",
"Advanced Micro Devices, Inc. [AMD/ATI]",
"Advanced Micro Devices, Inc. [AMD/ATI]",
"Advanced Micro Devices, Inc. [AMD/ATI]",
"Advanced Micro Devices, Inc. [AMD/ATI]",
"Advanced Micro Devices, Inc. [AMD/ATI]"
],
"gpu_count": 8,
"gpu_vram_mb": 549621596160,
"optimum_benchmark_version": "0.5.0",
"optimum_benchmark_commit": null,
"transformers_version": "4.45.2",
"transformers_commit": null,
"accelerate_version": "1.0.0",
"accelerate_commit": null,
"diffusers_version": "0.30.3",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.9",
"timm_commit": null,
"peft_version": "0.13.0",
"peft_commit": null
},
"print_report": true,
"log_report": true
},
"report": {
"load": {
"memory": {
"unit": "MB",
"max_ram": 1104.850944,
"max_global_vram": 68702.69952,
"max_process_vram": 3982.319616,
"max_reserved": 555.74528,
"max_allocated": 499.37152
},
"latency": {
"unit": "s",
"values": [
0.06753099060058594
],
"count": 1,
"total": 0.06753099060058594,
"mean": 0.06753099060058594,
"p50": 0.06753099060058594,
"p90": 0.06753099060058594,
"p95": 0.06753099060058594,
"p99": 0.06753099060058594,
"stdev": 0,
"stdev_": 0
},
"throughput": null,
"energy": null,
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 1222.73792,
"max_global_vram": 68702.69952,
"max_process_vram": 252050.49344,
"max_reserved": 555.74528,
"max_allocated": 499.506688
},
"latency": {
"unit": "s",
"values": [
0.00763121223449707,
0.0070456118583679195,
0.0070184111595153805,
0.00700897216796875,
0.006979371070861816,
0.006948811054229736,
0.006952012062072754,
0.007012650966644287,
0.006941290855407714,
0.006997451782226562,
0.00700753116607666,
0.006963051795959472,
0.006978090763092041,
0.006973771095275879,
0.006949451923370362,
0.006971850872039795,
0.006941610813140869,
0.007002892017364502,
0.006974250793457031,
0.006992812156677246,
0.006951051235198975,
0.0069712109565734865,
0.007003052234649658,
0.007002571105957031,
0.0069846510887146,
0.006991850852966309,
0.00698689079284668,
0.0069624118804931644,
0.007027370929718018,
0.007026251792907715,
0.006952810764312744,
0.007074091911315918,
0.006999210834503174,
0.006990890979766845,
0.007029612064361573,
0.00703105115890503,
0.007019052028656006,
0.007016651153564453,
0.006958571910858155,
0.0070372910499572755,
0.0070160112380981444,
0.00720081090927124,
0.007015212059020996,
0.00704033088684082,
0.006994411945343017,
0.007030090808868408,
0.007010731220245361,
0.0070110511779785155,
0.007018731117248535,
0.007170732021331787,
0.00714113187789917,
0.007046730995178223,
0.0070139322280883785,
0.006992970943450928,
0.00696881103515625,
0.006990732192993164,
0.006984170913696289,
0.007003851890563965,
0.006986731052398681,
0.0069852910041809085,
0.006982892036437988,
0.007015690803527832,
0.006982091903686523,
0.007023850917816162,
0.00701889181137085,
0.0071345710754394534,
0.007937613010406495,
0.00794001293182373,
0.007944172859191894,
0.007921292781829833,
0.007965932846069336,
0.007582891941070557,
0.00739281177520752,
0.007411212921142578,
0.007440651893615723,
0.007437131881713867,
0.007477612018585205,
0.007441611766815186,
0.007755373001098633,
0.007403851985931397,
0.007733451843261719,
0.007990892887115478,
0.007940331935882568,
0.007951372146606446,
0.007956491947174073,
0.007964491844177246,
0.007724973201751709,
0.00711057186126709,
0.007186730861663818,
0.007042731761932373,
0.007031210899353027,
0.007015212059020996,
0.006986411094665528,
0.007193451881408692,
0.007133932113647461,
0.007002410888671875,
0.007238091945648194,
0.007019371032714844,
0.0070596919059753415,
0.0070164909362792965,
0.007059371948242187,
0.007194091796875,
0.006981451034545899,
0.007037771224975586,
0.007005451202392578,
0.007026250839233398,
0.0070328121185302735,
0.007023850917816162,
0.0071019320487976075,
0.007051530838012695,
0.007011531829833984,
0.007019371032714844,
0.007034731864929199,
0.007021131038665772,
0.006998571872711181,
0.007019371032714844,
0.00722625207901001,
0.007298731803894043,
0.007231691837310791,
0.007023691177368164,
0.007068171977996827,
0.007036170959472656,
0.007041612148284912,
0.007005130767822266,
0.006986570835113525,
0.007042572021484375,
0.007051210880279541,
0.0070377721786499025,
0.006991051197052002,
0.006975212097167969,
0.007026570796966553,
0.007067852020263672,
0.007035211086273193,
0.007012172222137451,
0.0070158510208129885,
0.0070276899337768555,
0.007027370929718018,
0.00701521110534668,
0.007026412010192871,
0.007018731117248535
],
"count": 140,
"total": 0.9993467369079592,
"mean": 0.007138190977913993,
"p50": 0.007022411108016968,
"p90": 0.007587723970413208,
"p95": 0.007940028882026672,
"p99": 0.007965370855331421,
"stdev": 0.000275822278233018,
"stdev_": 3.8640361274506283
},
"throughput": {
"unit": "samples/s",
"value": 140.09151661731414
},
"energy": null,
"efficiency": null
}
}
}