IlyasMoutawwakil
HF staff
Upload cuda_inference_timm_image-classification_timm/resnet50.a1_in1k/benchmark.json with huggingface_hub
35a6e9b
verified
| { | |
| "config": { | |
| "name": "cuda_inference_timm_image-classification_timm/resnet50.a1_in1k", | |
| "backend": { | |
| "name": "pytorch", | |
| "version": "2.3.1+cu121", | |
| "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend", | |
| "task": "image-classification", | |
| "library": "timm", | |
| "model_type": "resnet50", | |
| "model": "timm/resnet50.a1_in1k", | |
| "processor": "timm/resnet50.a1_in1k", | |
| "device": "cuda", | |
| "device_ids": "0", | |
| "seed": 42, | |
| "inter_op_num_threads": null, | |
| "intra_op_num_threads": null, | |
| "model_kwargs": {}, | |
| "processor_kwargs": {}, | |
| "no_weights": false, | |
| "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": true, | |
| "device_isolation_action": "error", | |
| "numactl": false, | |
| "numactl_kwargs": {}, | |
| "start_method": "spawn" | |
| }, | |
| "environment": { | |
| "cpu": " AMD EPYC 7R32", | |
| "cpu_count": 16, | |
| "cpu_ram_mb": 66697.293824, | |
| "system": "Linux", | |
| "machine": "x86_64", | |
| "platform": "Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35", | |
| "processor": "x86_64", | |
| "python_version": "3.10.12", | |
| "gpu": [ | |
| "NVIDIA A10G" | |
| ], | |
| "gpu_count": 1, | |
| "gpu_vram_mb": 24146608128, | |
| "optimum_benchmark_version": "0.3.1", | |
| "optimum_benchmark_commit": null, | |
| "transformers_version": "4.43.3", | |
| "transformers_commit": null, | |
| "accelerate_version": "0.33.0", | |
| "accelerate_commit": null, | |
| "diffusers_version": "0.29.2", | |
| "diffusers_commit": null, | |
| "optimum_version": null, | |
| "optimum_commit": null, | |
| "timm_version": "1.0.8", | |
| "timm_commit": null, | |
| "peft_version": null, | |
| "peft_commit": null | |
| } | |
| }, | |
| "report": { | |
| "load": { | |
| "memory": { | |
| "unit": "MB", | |
| "max_ram": 789.17632, | |
| "max_global_vram": 688.390144, | |
| "max_process_vram": 0.0, | |
| "max_reserved": 123.731968, | |
| "max_allocated": 102.475264 | |
| }, | |
| "latency": { | |
| "unit": "s", | |
| "count": 1, | |
| "total": 7.49177734375, | |
| "mean": 7.49177734375, | |
| "stdev": 0.0, | |
| "p50": 7.49177734375, | |
| "p90": 7.49177734375, | |
| "p95": 7.49177734375, | |
| "p99": 7.49177734375, | |
| "values": [ | |
| 7.49177734375 | |
| ] | |
| }, | |
| "throughput": null, | |
| "energy": { | |
| "unit": "kWh", | |
| "cpu": 4.347433977656894e-06, | |
| "ram": 2.3671110122137406e-06, | |
| "gpu": 6.537227452002581e-06, | |
| "total": 1.3251772441873217e-05 | |
| }, | |
| "efficiency": null | |
| }, | |
| "forward": { | |
| "memory": { | |
| "unit": "MB", | |
| "max_ram": 976.121856, | |
| "max_global_vram": 1049.100288, | |
| "max_process_vram": 0.0, | |
| "max_reserved": 396.361728, | |
| "max_allocated": 245.323264 | |
| }, | |
| "latency": { | |
| "unit": "s", | |
| "count": 142, | |
| "total": 0.9976093745231625, | |
| "mean": 0.007025418130444808, | |
| "stdev": 0.00021858706935046392, | |
| "p50": 0.007105535984039306, | |
| "p90": 0.007277772903442383, | |
| "p95": 0.007315251111984253, | |
| "p99": 0.007443199791908264, | |
| "values": [ | |
| 0.007453695774078369, | |
| 0.007374847888946533, | |
| 0.007428095817565918, | |
| 0.0073994240760803225, | |
| 0.007363584041595459, | |
| 0.007311359882354736, | |
| 0.007336959838867187, | |
| 0.007308288097381592, | |
| 0.007256063938140869, | |
| 0.007207935810089112, | |
| 0.0071996479034423825, | |
| 0.007122943878173828, | |
| 0.007103487968444824, | |
| 0.007155712127685547, | |
| 0.0071833600997924804, | |
| 0.0072499198913574215, | |
| 0.007237631797790528, | |
| 0.007256063938140869, | |
| 0.0072540159225463864, | |
| 0.007144447803497315, | |
| 0.007175168037414551, | |
| 0.007260159969329834, | |
| 0.007201791763305664, | |
| 0.007493631839752197, | |
| 0.007208960056304932, | |
| 0.0072120318412780765, | |
| 0.007222271919250488, | |
| 0.007155712127685547, | |
| 0.007278592109680176, | |
| 0.00719155216217041, | |
| 0.007080959796905518, | |
| 0.0071495680809020995, | |
| 0.007037951946258545, | |
| 0.007090176105499267, | |
| 0.007110655784606934, | |
| 0.00719155216217041, | |
| 0.007171072006225586, | |
| 0.007136256217956543, | |
| 0.007290880203247071, | |
| 0.007184383869171143, | |
| 0.007300096035003662, | |
| 0.0073062400817871095, | |
| 0.007188479900360107, | |
| 0.007081984043121338, | |
| 0.007270400047302246, | |
| 0.0072325119972229, | |
| 0.007177216053009033, | |
| 0.007154687881469727, | |
| 0.007162879943847656, | |
| 0.007117824077606201, | |
| 0.0071485438346862796, | |
| 0.007155712127685547, | |
| 0.007211008071899414, | |
| 0.0072427520751953125, | |
| 0.007126016139984131, | |
| 0.007168000221252442, | |
| 0.007136256217956543, | |
| 0.007092095851898193, | |
| 0.007176191806793213, | |
| 0.007155776023864746, | |
| 0.007315455913543701, | |
| 0.007238592147827148, | |
| 0.007243775844573975, | |
| 0.007258111953735351, | |
| 0.0072499198913574215, | |
| 0.007135231971740722, | |
| 0.00724070405960083, | |
| 0.007186431884765625, | |
| 0.0071188478469848635, | |
| 0.007258111953735351, | |
| 0.0071157760620117185, | |
| 0.007027520179748535, | |
| 0.006952960014343262, | |
| 0.0069027838706970214, | |
| 0.007107583999633789, | |
| 0.0069959678649902345, | |
| 0.006852575778961182, | |
| 0.006791200160980225, | |
| 0.006843391895294189, | |
| 0.0068280320167541505, | |
| 0.006907904148101806, | |
| 0.0071506562232971195, | |
| 0.007300096035003662, | |
| 0.007235712051391602, | |
| 0.007175168037414551, | |
| 0.007270400047302246, | |
| 0.006928319931030273, | |
| 0.006927360057830811, | |
| 0.0068884482383728025, | |
| 0.006830080032348633, | |
| 0.00682700777053833, | |
| 0.006801407814025879, | |
| 0.006748159885406494, | |
| 0.006796288013458252, | |
| 0.006797311782836914, | |
| 0.006792191982269287, | |
| 0.006779903888702392, | |
| 0.006712384223937988, | |
| 0.006774784088134766, | |
| 0.006747231960296631, | |
| 0.006790143966674805, | |
| 0.006754303932189941, | |
| 0.0068351998329162595, | |
| 0.0067983360290527345, | |
| 0.006788095951080322, | |
| 0.0067983360290527345, | |
| 0.006807551860809326, | |
| 0.0066979842185974124, | |
| 0.006738944053649902, | |
| 0.006766592025756836, | |
| 0.006749184131622315, | |
| 0.006699007987976074, | |
| 0.006802432060241699, | |
| 0.006790143966674805, | |
| 0.006804480075836182, | |
| 0.006788095951080322, | |
| 0.006796288013458252, | |
| 0.006795263767242431, | |
| 0.00679423999786377, | |
| 0.006812736034393311, | |
| 0.006724607944488525, | |
| 0.006767615795135498, | |
| 0.006755328178405762, | |
| 0.006796288013458252, | |
| 0.006810624122619629, | |
| 0.006761472225189209, | |
| 0.006711264133453369, | |
| 0.006754303932189941, | |
| 0.006819839954376221, | |
| 0.006820864200592041, | |
| 0.00673689603805542, | |
| 0.006800384044647217, | |
| 0.006825984001159668, | |
| 0.006746111869812011, | |
| 0.006795263767242431, | |
| 0.006780928134918213, | |
| 0.006767615795135498, | |
| 0.006796288013458252, | |
| 0.0068055038452148435, | |
| 0.006804480075836182, | |
| 0.006779903888702392, | |
| 0.006791168212890625 | |
| ] | |
| }, | |
| "throughput": { | |
| "unit": "samples/s", | |
| "value": 142.34028230525917 | |
| }, | |
| "energy": { | |
| "unit": "kWh", | |
| "cpu": 7.819011916368329e-08, | |
| "ram": 4.2750546762734836e-08, | |
| "gpu": 1.6656994319735226e-07, | |
| "total": 2.8751060912377036e-07 | |
| }, | |
| "efficiency": { | |
| "unit": "samples/kWh", | |
| "value": 3478132.5219533388 | |
| } | |
| } | |
| } | |
| } |