IlyasMoutawwakil
HF staff
Upload cuda_inference_timm_image-classification_timm/resnet50.a1_in1k/benchmark.json with huggingface_hub
74fc5fa
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": {}, | |
| "hub_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, | |
| "latency": true, | |
| "memory": 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": 66697.285632, | |
| "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": "4.42.4", | |
| "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": 963.989504, | |
| "max_global_vram": 1049.100288, | |
| "max_process_vram": 0.0, | |
| "max_reserved": 396.361728, | |
| "max_allocated": 253.912576 | |
| }, | |
| "latency": { | |
| "unit": "s", | |
| "count": 153, | |
| "total": 1.001695168018341, | |
| "mean": 0.006547027241949941, | |
| "stdev": 0.00015746415198181492, | |
| "p50": 0.006495232105255127, | |
| "p90": 0.006720921707153321, | |
| "p95": 0.006845440101623536, | |
| "p99": 0.007063347339630126, | |
| "values": [ | |
| 0.007358463764190673, | |
| 0.007058432102203369, | |
| 0.007041024208068848, | |
| 0.0069283838272094726, | |
| 0.006953983783721924, | |
| 0.006900735855102539, | |
| 0.006897664070129395, | |
| 0.006650879859924317, | |
| 0.006583295822143555, | |
| 0.006527999877929688, | |
| 0.00658022403717041, | |
| 0.006730751991271973, | |
| 0.006690815925598144, | |
| 0.006626304149627686, | |
| 0.0066007041931152345, | |
| 0.006644703865051269, | |
| 0.0066641921997070315, | |
| 0.006672383785247803, | |
| 0.006591487884521485, | |
| 0.006614016056060791, | |
| 0.006615039825439453, | |
| 0.006492159843444824, | |
| 0.006449151992797852, | |
| 0.006495232105255127, | |
| 0.006562816143035889, | |
| 0.0066375679969787596, | |
| 0.006723584175109864, | |
| 0.006710271835327148, | |
| 0.006631423950195312, | |
| 0.006656000137329102, | |
| 0.006636544227600098, | |
| 0.0066109437942504885, | |
| 0.006586368083953857, | |
| 0.006477888107299805, | |
| 0.006617087841033936, | |
| 0.006625279903411865, | |
| 0.006534143924713135, | |
| 0.0066119680404663084, | |
| 0.006584320068359375, | |
| 0.006593535900115967, | |
| 0.006708223819732666, | |
| 0.0067021121978759765, | |
| 0.006598656177520752, | |
| 0.0066447358131408694, | |
| 0.006615039825439453, | |
| 0.0065669121742248536, | |
| 0.006533120155334473, | |
| 0.006481919765472412, | |
| 0.0062791681289672855, | |
| 0.00648089599609375, | |
| 0.00657919979095459, | |
| 0.006294528007507324, | |
| 0.006237184047698975, | |
| 0.00621670389175415, | |
| 0.006252480030059814, | |
| 0.006199295997619629, | |
| 0.006325247764587402, | |
| 0.006690815925598144, | |
| 0.006631423950195312, | |
| 0.006773759841918945, | |
| 0.007068672180175781, | |
| 0.006557695865631104, | |
| 0.006525951862335205, | |
| 0.006492159843444824, | |
| 0.006464511871337891, | |
| 0.006505472183227539, | |
| 0.006472703933715821, | |
| 0.006437888145446777, | |
| 0.006526976108551025, | |
| 0.006460415840148926, | |
| 0.0065443840026855465, | |
| 0.006552576065063476, | |
| 0.0064737281799316405, | |
| 0.006523903846740723, | |
| 0.006510623931884766, | |
| 0.006463488101959228, | |
| 0.006472703933715821, | |
| 0.006441984176635742, | |
| 0.006456319808959961, | |
| 0.006487040042877197, | |
| 0.006461440086364746, | |
| 0.00648089599609375, | |
| 0.006533120155334473, | |
| 0.006451200008392334, | |
| 0.006463488101959228, | |
| 0.006416384220123291, | |
| 0.006462463855743408, | |
| 0.006810624122619629, | |
| 0.006446080207824707, | |
| 0.006532095909118653, | |
| 0.0064737281799316405, | |
| 0.006416384220123291, | |
| 0.006448128223419189, | |
| 0.006492159843444824, | |
| 0.006456319808959961, | |
| 0.006453248023986816, | |
| 0.006434815883636475, | |
| 0.006472703933715821, | |
| 0.006487040042877197, | |
| 0.006452223777770996, | |
| 0.006464511871337891, | |
| 0.006453248023986816, | |
| 0.006437888145446777, | |
| 0.006456319808959961, | |
| 0.0064430079460144046, | |
| 0.006428607940673828, | |
| 0.00652288007736206, | |
| 0.0064440321922302245, | |
| 0.006490111827850342, | |
| 0.006758399963378906, | |
| 0.00673689603805542, | |
| 0.006509568214416504, | |
| 0.006461440086364746, | |
| 0.006403071880340576, | |
| 0.0064778242111206055, | |
| 0.00643174409866333, | |
| 0.0064778242111206055, | |
| 0.006475776195526123, | |
| 0.00643071985244751, | |
| 0.006470655918121338, | |
| 0.006574079990386963, | |
| 0.006494207859039307, | |
| 0.006489088058471679, | |
| 0.006445024013519287, | |
| 0.006491136074066162, | |
| 0.006603775978088379, | |
| 0.006458367824554443, | |
| 0.006543360233306885, | |
| 0.006495232105255127, | |
| 0.006469632148742676, | |
| 0.0065146880149841305, | |
| 0.006464511871337891, | |
| 0.006766592025756836, | |
| 0.00653004789352417, | |
| 0.006435840129852295, | |
| 0.006490111827850342, | |
| 0.006479872226715088, | |
| 0.006432767868041992, | |
| 0.006451200008392334, | |
| 0.006437888145446777, | |
| 0.006490111827850342, | |
| 0.0064839677810668945, | |
| 0.006437888145446777, | |
| 0.006452223777770996, | |
| 0.006448128223419189, | |
| 0.006449151992797852, | |
| 0.006516736030578613, | |
| 0.006675456047058105, | |
| 0.006725632190704346, | |
| 0.006567935943603515, | |
| 0.006503424167633057, | |
| 0.0065064959526062015, | |
| 0.006533120155334473 | |
| ] | |
| }, | |
| "throughput": { | |
| "unit": "samples/s", | |
| "value": 152.74107820913295 | |
| }, | |
| "energy": { | |
| "unit": "kWh", | |
| "cpu": 7.518576209219867e-08, | |
| "ram": 4.110770250291278e-08, | |
| "gpu": 1.704132868227847e-07, | |
| "total": 2.8670675141789617e-07 | |
| }, | |
| "efficiency": { | |
| "unit": "samples/kWh", | |
| "value": 3487884.3803103417 | |
| } | |
| } | |
| } | |
| } |