IlyasMoutawwakil's picture
Upload cuda_inference_timm_image-classification_timm/resnet50.a1_in1k/benchmark.json with huggingface_hub
484f8f7 verified
raw
history blame
11.7 kB
{
"config": {
"name": "cuda_inference_timm_image-classification_timm/resnet50.a1_in1k",
"backend": {
"name": "pytorch",
"version": "2.4.0+cu124",
"_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": 66697.261056,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-5.10.223-211.872.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": "0.4.0",
"optimum_benchmark_commit": null,
"transformers_version": "4.44.1",
"transformers_commit": null,
"accelerate_version": "0.33.0",
"accelerate_commit": null,
"diffusers_version": "0.30.0",
"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": 853.061632,
"max_global_vram": 709.361664,
"max_process_vram": 0.0,
"max_reserved": 123.731968,
"max_allocated": 102.475264
},
"latency": {
"unit": "s",
"count": 1,
"total": 7.6895927734375,
"mean": 7.6895927734375,
"stdev": 0.0,
"p50": 7.6895927734375,
"p90": 7.6895927734375,
"p95": 7.6895927734375,
"p99": 7.6895927734375,
"values": [
7.6895927734375
]
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 4.2886425111116e-06,
"ram": 2.3348841637795686e-06,
"gpu": 6.541671900000038e-06,
"total": 1.3165198574891206e-05
},
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 1092.534272,
"max_global_vram": 791.150592,
"max_process_vram": 0.0,
"max_reserved": 148.897792,
"max_allocated": 114.685952
},
"latency": {
"unit": "s",
"count": 136,
"total": 1.001688865184784,
"mean": 0.007365359302829294,
"stdev": 0.00018736291667725412,
"p50": 0.007318016052246094,
"p90": 0.007633919954299927,
"p95": 0.007688656210899353,
"p99": 0.007969279837608338,
"values": [
0.0074670081138610836,
0.007469056129455566,
0.007453695774078369,
0.007444479942321777,
0.0074291200637817386,
0.007401472091674805,
0.007324672222137451,
0.007318528175354004,
0.007290880203247071,
0.007315455913543701,
0.007336959838867187,
0.00732371187210083,
0.007201791763305664,
0.007216063976287842,
0.007279615879058838,
0.007311359882354736,
0.007334911823272705,
0.007351295948028564,
0.0073175039291381834,
0.007360511779785156,
0.007307263851165771,
0.007278592109680176,
0.007360479831695557,
0.007374847888946533,
0.007325695991516113,
0.007326720237731933,
0.007367680072784424,
0.007351295948028564,
0.007316480159759522,
0.0073359360694885255,
0.007349279880523682,
0.007311359882354736,
0.007371776103973389,
0.0073820161819458,
0.00725708818435669,
0.007261184215545655,
0.007250944137573242,
0.007278592109680176,
0.007312384128570557,
0.007310336112976074,
0.007392255783081054,
0.0073994240760803225,
0.0074065918922424315,
0.007296000003814697,
0.0073400321006774905,
0.007302144050598145,
0.007292928218841553,
0.007356416225433349,
0.00736352014541626,
0.0073994240760803225,
0.007686143875122071,
0.007636991977691651,
0.007517183780670166,
0.007571455955505371,
0.007541696071624756,
0.007678976058959961,
0.0075970559120178225,
0.007514111995697022,
0.007591936111450195,
0.007856128215789794,
0.00809881591796875,
0.007566336154937744,
0.00780083179473877,
0.008030207633972167,
0.007693312168121338,
0.007656447887420655,
0.007805952072143555,
0.007687104225158691,
0.007623680114746094,
0.007620607852935791,
0.0076308479309082035,
0.007532544136047363,
0.007640063762664795,
0.007560192108154297,
0.007462944030761719,
0.007485439777374267,
0.0074414081573486324,
0.00755299186706543,
0.007486464023590088,
0.007237631797790528,
0.007228415966033935,
0.007195648193359375,
0.007395328044891358,
0.007506944179534912,
0.0075335679054260255,
0.007556096076965332,
0.007677951812744141,
0.00770963191986084,
0.007375872135162354,
0.007230463981628418,
0.007187456130981445,
0.007192575931549072,
0.007225344181060791,
0.007211008071899414,
0.007259136199951172,
0.007225344181060791,
0.007197696208953858,
0.00719974422454834,
0.0072499198913574215,
0.007238656044006348,
0.007217152118682861,
0.007164927959442138,
0.0072120318412780765,
0.007189504146575928,
0.007185408115386963,
0.007193600177764893,
0.0071413440704345705,
0.007192575931549072,
0.007176256179809571,
0.007181312084197998,
0.007171072006225586,
0.007146495819091797,
0.007186431884765625,
0.007184383869171143,
0.007262207984924316,
0.0071792640686035155,
0.00722431993484497,
0.007174143791198731,
0.0071823358535766605,
0.007208960056304932,
0.007206912040710449,
0.007172095775604248,
0.007292928218841553,
0.007366655826568603,
0.007219200134277344,
0.007228415966033935,
0.007192575931549072,
0.007523327827453613,
0.007201791763305664,
0.0071905279159545895,
0.0071823358535766605,
0.007163904190063477,
0.007150591850280762,
0.0071495680809020995,
0.007170048236846924,
0.007175168037414551
]
},
"throughput": {
"unit": "samples/s",
"value": 135.77070158897268
},
"energy": {
"unit": "kWh",
"cpu": 8.521099916566714e-08,
"ram": 4.658524023251555e-08,
"gpu": 1.8043779423021483e-07,
"total": 3.122340336283975e-07
},
"efficiency": {
"unit": "samples/kWh",
"value": 3202725.8155660923
}
}
}
}