IlyasMoutawwakil's picture
Upload cuda_inference_transformers_image-classification_google/vit-base-patch16-224/benchmark.json with huggingface_hub
763e07d verified
raw
history blame
12.2 kB
{
"config": {
"name": "cuda_inference_transformers_image-classification_google/vit-base-patch16-224",
"backend": {
"name": "pytorch",
"version": "2.5.1+cu124",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "image-classification",
"library": "transformers",
"model_type": "vit",
"model": "google/vit-base-patch16-224",
"processor": "google/vit-base-patch16-224",
"device": "cuda",
"device_ids": "0",
"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": 2,
"sequence_length": 16,
"num_choices": 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": 66697.248768,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-5.10.227-219.884.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": "0.5.0.dev0",
"optimum_benchmark_commit": null,
"transformers_version": "4.46.3",
"transformers_commit": null,
"accelerate_version": "1.1.1",
"accelerate_commit": null,
"diffusers_version": "0.31.0",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.11",
"timm_commit": null,
"peft_version": "0.13.2",
"peft_commit": null
},
"print_report": true,
"log_report": true
},
"report": {
"load": {
"memory": {
"unit": "MB",
"max_ram": 860.618752,
"max_global_vram": 1037.565952,
"max_process_vram": 0.0,
"max_reserved": 400.556032,
"max_allocated": 346.271744
},
"latency": {
"unit": "s",
"values": [
0.13069718933105468
],
"count": 1,
"total": 0.13069718933105468,
"mean": 0.13069718933105468,
"p50": 0.13069718933105468,
"p90": 0.13069718933105468,
"p95": 0.13069718933105468,
"p99": 0.13069718933105468,
"stdev": 0,
"stdev_": 0
},
"throughput": null,
"energy": null,
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 1050.873856,
"max_global_vram": 1073.217536,
"max_process_vram": 0.0,
"max_reserved": 423.624704,
"max_allocated": 377.056256
},
"latency": {
"unit": "s",
"values": [
0.007415808200836181,
0.006917119979858399,
0.006913023948669434,
0.0069027838706970214,
0.006903808116912841,
0.006910975933074951,
0.006936575889587402,
0.00693452787399292,
0.00694271993637085,
0.007002111911773682,
0.007012351989746094,
0.007008255958557129,
0.007011328220367432,
0.006987775802612305,
0.0069959678649902345,
0.007003136157989502,
0.006994944095611572,
0.007016448020935059,
0.007008255958557129,
0.007001088142395019,
0.007021567821502686,
0.007011328220367432,
0.007007232189178467,
0.007005216121673584,
0.007005184173583984,
0.006998015880584717,
0.006979584217071533,
0.006994944095611572,
0.0069959678649902345,
0.007014400005340577,
0.006998015880584717,
0.007007232189178467,
0.007003136157989502,
0.0069959678649902345,
0.007000063896179199,
0.0069959678649902345,
0.007002111911773682,
0.006989823818206787,
0.006979743957519532,
0.007004159927368164,
0.007008255958557129,
0.0070563840866088865,
0.0070594558715820314,
0.007060480117797851,
0.0070522880554199216,
0.007051328182220459,
0.0070553598403930665,
0.00704204797744751,
0.0070553598403930665,
0.007049215793609619,
0.0070522880554199216,
0.007060480117797851,
0.0070522880554199216,
0.007053311824798584,
0.0070553598403930665,
0.0070522880554199216,
0.007058432102203369,
0.0070563840866088865,
0.007062528133392334,
0.007044095993041993,
0.007036928176879883,
0.007045119762420654,
0.007065599918365479,
0.0070594558715820314,
0.007066624164581299,
0.007069695949554444,
0.007061503887176514,
0.007071743965148926,
0.007047167778015137,
0.00704204797744751,
0.007044095993041993,
0.007035903930664063,
0.007028736114501953,
0.007038976192474365,
0.007044095993041993,
0.007048192024230957,
0.007069695949554444,
0.007057407855987549,
0.007053311824798584,
0.007044095993041993,
0.007048192024230957,
0.007062528133392334,
0.0070594558715820314,
0.007069695949554444,
0.007071743965148926,
0.007062528133392334,
0.00704307222366333,
0.007051263809204102,
0.0070594558715820314,
0.007068672180175781,
0.007070720195770264,
0.007054336071014404,
0.00704204797744751,
0.0070563840866088865,
0.007065599918365479,
0.007072768211364746,
0.007041024208068848,
0.007049215793609619,
0.007051263809204102,
0.007064576148986816,
0.007071743965148926,
0.007066624164581299,
0.0070594558715820314,
0.007045119762420654,
0.007046144008636474,
0.007064576148986816,
0.007062528133392334,
0.007057407855987549,
0.007057407855987549,
0.0070594558715820314,
0.007063551902770996,
0.007071743965148926,
0.007063551902770996,
0.007067647933959961,
0.007067647933959961,
0.007073791980743408,
0.007077888011932373,
0.007058432102203369,
0.007069695949554444,
0.007066624164581299,
0.007069695949554444,
0.007041024208068848,
0.007060480117797851,
0.007062528133392334,
0.007036928176879883,
0.007044095993041993,
0.007057407855987549,
0.007054336071014404,
0.007041024208068848,
0.0070594558715820314,
0.007067647933959961,
0.007066624164581299,
0.007060480117797851,
0.007045119762420654,
0.007032832145690918,
0.007048192024230957,
0.007053311824798584,
0.007066624164581299,
0.007051263809204102,
0.007041024208068848,
0.007054336071014404,
0.007061503887176514,
0.007072768211364746,
0.007039999961853028,
0.007037951946258545,
0.007035903930664063,
0.007038976192474365,
0.0070348801612854
],
"count": 148,
"total": 1.0417687044143673,
"mean": 0.007038977732529512,
"p50": 0.007050239801406861,
"p90": 0.00706897931098938,
"p95": 0.007071743965148926,
"p99": 0.007075962877273559,
"stdev": 4.8335238693519625e-05,
"stdev_": 0.6866798067870855
},
"throughput": {
"unit": "samples/s",
"value": 284.1321674818375
},
"energy": {
"unit": "kWh",
"cpu": 8.530146307713879e-08,
"ram": 4.5699996253472834e-08,
"gpu": 5.492534424054086e-07,
"total": 6.802549017360202e-07
},
"efficiency": {
"unit": "samples/kWh",
"value": 2940074.367558354
}
}
}
}