IlyasMoutawwakil
HF staff
Upload cuda_inference_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json with huggingface_hub
3c7632a
verified
| { | |
| "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": {}, | |
| "hub_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, | |
| "latency": true, | |
| "memory": 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": "10c9775dced65978a85f54ff6905a3aea7d61cca", | |
| "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": { | |
| "forward": { | |
| "memory": { | |
| "unit": "MB", | |
| "max_ram": 1009.319936, | |
| "max_global_vram": 898.445312, | |
| "max_process_vram": 212080.2304, | |
| "max_reserved": 555.74528, | |
| "max_allocated": 499.507712 | |
| }, | |
| "latency": { | |
| "unit": "s", | |
| "count": 137, | |
| "total": 0.9997739744186404, | |
| "mean": 0.0072976202512309496, | |
| "stdev": 0.0002338643188608137, | |
| "p50": 0.007254055023193359, | |
| "p90": 0.007575782012939454, | |
| "p95": 0.0077710128784179685, | |
| "p99": 0.008112278747558592, | |
| "values": [ | |
| 0.00747837495803833, | |
| 0.007105735778808594, | |
| 0.007141574859619141, | |
| 0.007333893775939942, | |
| 0.007627334117889404, | |
| 0.007456614017486572, | |
| 0.00741197395324707, | |
| 0.007392134189605713, | |
| 0.007381254196166992, | |
| 0.007275175094604492, | |
| 0.007182054996490479, | |
| 0.007135974884033203, | |
| 0.007142055034637451, | |
| 0.007099976062774658, | |
| 0.007080776214599609, | |
| 0.00706733512878418, | |
| 0.007029736042022705, | |
| 0.007001255035400391, | |
| 0.007017576217651368, | |
| 0.006994855880737305, | |
| 0.007038856029510498, | |
| 0.006994696140289307, | |
| 0.007037255764007568, | |
| 0.007015495777130127, | |
| 0.007024455070495606, | |
| 0.006994215965270996, | |
| 0.007002214908599854, | |
| 0.007051976203918457, | |
| 0.007122214794158936, | |
| 0.007069415092468262, | |
| 0.007159975051879883, | |
| 0.00850157070159912, | |
| 0.007307653903961182, | |
| 0.007163495063781738, | |
| 0.007145415782928466, | |
| 0.007165095806121826, | |
| 0.007179175853729248, | |
| 0.00716429615020752, | |
| 0.007151495933532715, | |
| 0.007136775016784668, | |
| 0.007142055034637451, | |
| 0.007165256023406982, | |
| 0.007139175891876221, | |
| 0.007180294990539551, | |
| 0.007521092891693115, | |
| 0.0071492562294006344, | |
| 0.0071934151649475095, | |
| 0.007157415866851807, | |
| 0.007360135078430176, | |
| 0.007327653884887695, | |
| 0.007254055023193359, | |
| 0.007337413787841797, | |
| 0.007391654968261719, | |
| 0.007370053768157959, | |
| 0.007210215091705322, | |
| 0.007204935073852539, | |
| 0.007239974975585937, | |
| 0.007227175235748291, | |
| 0.007210054874420166, | |
| 0.0072153348922729494, | |
| 0.007218854904174805, | |
| 0.007370533943176269, | |
| 0.007460293769836426, | |
| 0.007238854885101318, | |
| 0.00720765495300293, | |
| 0.0073660540580749514, | |
| 0.007277735233306885, | |
| 0.00725293493270874, | |
| 0.007234054088592529, | |
| 0.007227175235748291, | |
| 0.0072434949874877926, | |
| 0.007237575054168701, | |
| 0.0073134140968322756, | |
| 0.007294855117797852, | |
| 0.007269895076751709, | |
| 0.007275975227355957, | |
| 0.0072129349708557125, | |
| 0.007209895133972168, | |
| 0.0072690949440002445, | |
| 0.007236614227294922, | |
| 0.007258534908294678, | |
| 0.007273415088653565, | |
| 0.0072606148719787595, | |
| 0.0072716550827026365, | |
| 0.007211335182189941, | |
| 0.00725341510772705, | |
| 0.007249575138092041, | |
| 0.007235815048217773, | |
| 0.007259815216064453, | |
| 0.007282694816589355, | |
| 0.007246533870697022, | |
| 0.0072625350952148435, | |
| 0.007222054958343506, | |
| 0.007213415145874024, | |
| 0.0072660551071167, | |
| 0.007261254787445068, | |
| 0.007274374961853027, | |
| 0.007249895095825195, | |
| 0.007267173767089844, | |
| 0.0072318148612976075, | |
| 0.007283174991607666, | |
| 0.007260613918304444, | |
| 0.00725069522857666, | |
| 0.007425094127655029, | |
| 0.00808637237548828, | |
| 0.008126851081848144, | |
| 0.008079172134399414, | |
| 0.007546214103698731, | |
| 0.0074657340049743654, | |
| 0.007459333896636963, | |
| 0.007801093101501465, | |
| 0.007923171997070313, | |
| 0.007669252872467041, | |
| 0.007766532897949219, | |
| 0.007620133876800537, | |
| 0.007788932800292968, | |
| 0.007706532955169678, | |
| 0.00775773286819458, | |
| 0.007732293128967285, | |
| 0.007298533916473389, | |
| 0.007287815093994141, | |
| 0.007268135070800781, | |
| 0.007232454776763916, | |
| 0.00728077507019043, | |
| 0.007305415153503418, | |
| 0.007258213996887207, | |
| 0.007263814926147461, | |
| 0.00727309513092041, | |
| 0.007204134941101074, | |
| 0.0072172551155090334, | |
| 0.007270215034484863, | |
| 0.007223175048828125, | |
| 0.007277414798736572, | |
| 0.00727005386352539, | |
| 0.007275014877319336, | |
| 0.007260933876037597, | |
| 0.007310694217681885 | |
| ] | |
| }, | |
| "throughput": { | |
| "unit": "samples/s", | |
| "value": 137.0309725052248 | |
| }, | |
| "energy": null, | |
| "efficiency": null | |
| } | |
| } | |
| } |