IlyasMoutawwakil's picture
Upload cpu_inference_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json with huggingface_hub
d4d3ff7 verified
raw
history blame
6.62 kB
{
"config": {
"name": "cpu_inference_transformers_multiple-choice_FacebookAI/roberta-base",
"backend": {
"name": "pytorch",
"version": "2.4.1+cpu",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "multiple-choice",
"library": "transformers",
"model_type": "roberta",
"model": "FacebookAI/roberta-base",
"processor": "FacebookAI/roberta-base",
"device": "cpu",
"device_ids": null,
"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": true,
"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": false,
"device_isolation_action": null,
"numactl": false,
"numactl_kwargs": {},
"start_method": "spawn"
},
"environment": {
"cpu": " AMD EPYC 7763 64-Core Processor",
"cpu_count": 4,
"cpu_ram_mb": 16766.7712,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-6.8.0-1014-azure-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.15",
"optimum_benchmark_version": "0.5.0",
"optimum_benchmark_commit": "1d52d2c35074aaaacac2a8342653779fa0d40c86",
"transformers_version": "4.45.1",
"transformers_commit": null,
"accelerate_version": "0.34.2",
"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": null,
"peft_commit": null
}
},
"report": {
"load": {
"memory": {
"unit": "MB",
"max_ram": 946.962432,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
1.2280992309999874
],
"count": 1,
"total": 1.2280992309999874,
"mean": 1.2280992309999874,
"p50": 1.2280992309999874,
"p90": 1.2280992309999874,
"p95": 1.2280992309999874,
"p99": 1.2280992309999874,
"stdev": 0,
"stdev_": 0
},
"throughput": null,
"energy": null,
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 958.623744,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
0.04607624499999474,
0.04702626499999951,
0.04533179699996026,
0.045458303000032174,
0.045950520000019424,
0.04527365799998506,
0.045123308999961864,
0.045500630999981695,
0.0455951769999956,
0.04551481099997545,
0.0446602210000151,
0.04502046200002496,
0.045427100000040355,
0.04648133399996368,
0.04529361099997686,
0.04518399699998099,
0.04553904799996644,
0.04502089599998271,
0.04067614699999922,
0.04370037199998933,
0.04887052700001959,
0.048508371999957944
],
"count": 22,
"total": 1.001232802999823,
"mean": 0.04551058195453741,
"p50": 0.045442701500036264,
"p90": 0.04697177189999593,
"p95": 0.04843426664996002,
"p99": 0.04879447445000665,
"stdev": 0.001541700552855504,
"stdev_": 3.3875650159683275
},
"throughput": {
"unit": "samples/s",
"value": 21.97291172850625
},
"energy": {
"unit": "kWh",
"cpu": 1.5664007784444924e-06,
"ram": 6.549945776430798e-08,
"gpu": 0.0,
"total": 1.6319002362088004e-06
},
"efficiency": {
"unit": "samples/kWh",
"value": 612782.5572984663
}
}
}
}