rocm
/
cuda_inference_transformers_image-classification_google
/vit-base-patch16-224
/benchmark.json
IlyasMoutawwakil
HF staff
Upload cuda_inference_transformers_image-classification_google/vit-base-patch16-224/benchmark.json with huggingface_hub
beb7d4c
verified
| { | |
| "config": { | |
| "name": "cuda_inference_transformers_image-classification_google/vit-base-patch16-224", | |
| "backend": { | |
| "name": "pytorch", | |
| "version": "2.2.2+rocm5.7", | |
| "_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": {}, | |
| "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": "bc46022225a5818a4648ee2abeffdd38c4a9b291", | |
| "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": 1067.024384, | |
| "max_global_vram": 777.732096, | |
| "max_process_vram": 207178.244096, | |
| "max_reserved": 406.847488, | |
| "max_allocated": 355.30752 | |
| }, | |
| "latency": { | |
| "unit": "s", | |
| "count": 147, | |
| "total": 0.9979994640350341, | |
| "mean": 0.006789112000238328, | |
| "stdev": 0.0003987547954986608, | |
| "p50": 0.006848960876464844, | |
| "p90": 0.007274561023712158, | |
| "p95": 0.00749104061126709, | |
| "p99": 0.007754445295333862, | |
| "values": [ | |
| 0.0077715210914611815, | |
| 0.006972640037536621, | |
| 0.006968000888824463, | |
| 0.007060959815979004, | |
| 0.007263041019439697, | |
| 0.0076289610862731935, | |
| 0.007734399795532226, | |
| 0.007657920837402344, | |
| 0.007535040855407715, | |
| 0.00743887996673584, | |
| 0.007650081157684326, | |
| 0.007409121036529541, | |
| 0.0074720001220703125, | |
| 0.0074992008209228515, | |
| 0.00739631986618042, | |
| 0.00729184103012085, | |
| 0.007177600860595703, | |
| 0.007191840171813965, | |
| 0.007149120807647705, | |
| 0.007203999996185303, | |
| 0.007436641216278076, | |
| 0.009035520553588867, | |
| 0.0074345598220825196, | |
| 0.0072124810218811035, | |
| 0.007218561172485352, | |
| 0.0071196799278259275, | |
| 0.006960960865020752, | |
| 0.007019519805908203, | |
| 0.006911840915679932, | |
| 0.007003681182861328, | |
| 0.006984480857849121, | |
| 0.006963679790496826, | |
| 0.006916800975799561, | |
| 0.006900640964508056, | |
| 0.006927361011505127, | |
| 0.006805600166320801, | |
| 0.006862720966339111, | |
| 0.0068681612014770506, | |
| 0.006850241184234619, | |
| 0.007023359775543213, | |
| 0.006883841037750244, | |
| 0.006903841018676758, | |
| 0.006924961090087891, | |
| 0.006848960876464844, | |
| 0.006949920177459717, | |
| 0.0069041609764099125, | |
| 0.0068998408317565915, | |
| 0.007080481052398681, | |
| 0.006990719795227051, | |
| 0.007003681182861328, | |
| 0.006891520977020263, | |
| 0.00686496114730835, | |
| 0.00682480001449585, | |
| 0.006836000919342041, | |
| 0.006839041233062744, | |
| 0.00687808084487915, | |
| 0.0068615999221801754, | |
| 0.006841761112213135, | |
| 0.0068284811973571774, | |
| 0.00683440113067627, | |
| 0.006850560188293457, | |
| 0.006864480972290039, | |
| 0.006876481056213379, | |
| 0.006913121223449707, | |
| 0.0069398398399353025, | |
| 0.00692448091506958, | |
| 0.006899520874023437, | |
| 0.006884160995483398, | |
| 0.006850400924682617, | |
| 0.006868000030517578, | |
| 0.006834721088409424, | |
| 0.006988320827484131, | |
| 0.006868481159210205, | |
| 0.006928639888763428, | |
| 0.0069299211502075195, | |
| 0.006866880893707275, | |
| 0.006884000778198242, | |
| 0.0069606399536132815, | |
| 0.006850080966949463, | |
| 0.0068857607841491695, | |
| 0.006860160827636718, | |
| 0.006915840148925781, | |
| 0.006510400772094726, | |
| 0.006489601135253906, | |
| 0.006447041034698486, | |
| 0.006502240180969238, | |
| 0.006485761165618897, | |
| 0.006484961032867432, | |
| 0.0064934401512145995, | |
| 0.006431681156158447, | |
| 0.006461600780487061, | |
| 0.006471681118011475, | |
| 0.006445759773254394, | |
| 0.006447680950164795, | |
| 0.006441921234130859, | |
| 0.006417119979858398, | |
| 0.006410400867462158, | |
| 0.0063873610496520995, | |
| 0.006428160190582275, | |
| 0.006428801059722901, | |
| 0.006393280982971192, | |
| 0.006464800834655762, | |
| 0.006490560054779053, | |
| 0.006458721160888672, | |
| 0.006454561233520508, | |
| 0.006462240219116211, | |
| 0.006436161041259766, | |
| 0.006423680782318115, | |
| 0.006408960819244385, | |
| 0.006478559970855713, | |
| 0.006426721096038818, | |
| 0.006428481101989746, | |
| 0.006430240154266358, | |
| 0.006410400867462158, | |
| 0.006437601089477539, | |
| 0.00642720079421997, | |
| 0.0063868799209594726, | |
| 0.006464001178741455, | |
| 0.00638624095916748, | |
| 0.0065391998291015625, | |
| 0.006405120849609375, | |
| 0.006441121101379395, | |
| 0.006436161041259766, | |
| 0.006443520069122314, | |
| 0.0063854408264160155, | |
| 0.006410881042480469, | |
| 0.006390079975128173, | |
| 0.0064112010002136234, | |
| 0.006560801029205322, | |
| 0.006561759948730469, | |
| 0.0064228811264038085, | |
| 0.006413441181182861, | |
| 0.006435201168060302, | |
| 0.006445919990539551, | |
| 0.006396000862121582, | |
| 0.006434401035308838, | |
| 0.006490240097045899, | |
| 0.006431520938873291, | |
| 0.006585761070251465, | |
| 0.006395680904388428, | |
| 0.006376480102539063, | |
| 0.0063763208389282225, | |
| 0.006357921123504639, | |
| 0.006391200065612793, | |
| 0.006359681129455567, | |
| 0.006379361152648926, | |
| 0.006402719974517823 | |
| ] | |
| }, | |
| "throughput": { | |
| "unit": "samples/s", | |
| "value": 147.2946682813445 | |
| }, | |
| "energy": null, | |
| "efficiency": null | |
| } | |
| } | |
| } |