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
351985d
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": "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": "0.2.1", | |
| "optimum_benchmark_commit": "8320ce6f24eaa5099bd3b49d8d44c0c1368af14b", | |
| "transformers_version": "4.42.3", | |
| "transformers_commit": null, | |
| "accelerate_version": "0.31.0", | |
| "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": 1061.6832, | |
| "max_global_vram": 777.732096, | |
| "max_process_vram": 153465.380864, | |
| "max_reserved": 406.847488, | |
| "max_allocated": 355.30752 | |
| }, | |
| "latency": { | |
| "unit": "s", | |
| "count": 141, | |
| "total": 0.9938536343574528, | |
| "mean": 0.007048607335868457, | |
| "stdev": 0.00037689869472029954, | |
| "p50": 0.006834561824798584, | |
| "p90": 0.007513922214508056, | |
| "p95": 0.007527040958404541, | |
| "p99": 0.007857856750488279, | |
| "values": [ | |
| 0.008031360626220703, | |
| 0.006692001819610596, | |
| 0.0066179208755493164, | |
| 0.0066580810546875, | |
| 0.006622560977935791, | |
| 0.006629281997680664, | |
| 0.006601921081542969, | |
| 0.006609601020812988, | |
| 0.006675042152404785, | |
| 0.006640800952911377, | |
| 0.006675840854644776, | |
| 0.006984002113342285, | |
| 0.006693921089172363, | |
| 0.006736320972442627, | |
| 0.006721921920776367, | |
| 0.0067646408081054685, | |
| 0.006722560882568359, | |
| 0.006729762077331543, | |
| 0.006722560882568359, | |
| 0.006718561172485351, | |
| 0.006772800922393799, | |
| 0.00672496223449707, | |
| 0.006789121150970459, | |
| 0.006750561237335205, | |
| 0.007129921913146973, | |
| 0.007100640773773193, | |
| 0.0070966420173645016, | |
| 0.007133281230926514, | |
| 0.007129601001739502, | |
| 0.007001121997833252, | |
| 0.007000640869140625, | |
| 0.007244962215423584, | |
| 0.007211201190948487, | |
| 0.007161760807037353, | |
| 0.007021602153778076, | |
| 0.0070393610000610354, | |
| 0.006976322174072265, | |
| 0.006809441089630127, | |
| 0.007018401145935059, | |
| 0.006814241886138916, | |
| 0.006793440818786621, | |
| 0.006880640983581543, | |
| 0.006834561824798584, | |
| 0.006806241035461426, | |
| 0.006804000854492187, | |
| 0.006807201862335205, | |
| 0.006774880886077881, | |
| 0.006763521194458008, | |
| 0.006747841835021973, | |
| 0.006764481067657471, | |
| 0.0067427210807800295, | |
| 0.006742881774902344, | |
| 0.0067427210807800295, | |
| 0.006745601177215576, | |
| 0.006725602149963379, | |
| 0.006735361099243164, | |
| 0.006731680870056152, | |
| 0.00667040205001831, | |
| 0.006683361053466797, | |
| 0.006650560855865478, | |
| 0.006628800868988037, | |
| 0.0066563220024108884, | |
| 0.006825601100921631, | |
| 0.006946721076965332, | |
| 0.006706881999969483, | |
| 0.006648800849914551, | |
| 0.006680321216583252, | |
| 0.006685922145843506, | |
| 0.00668864107131958, | |
| 0.0066723208427429195, | |
| 0.006657601833343506, | |
| 0.006697121143341064, | |
| 0.006690560817718506, | |
| 0.00666384220123291, | |
| 0.006706561088562012, | |
| 0.006678240776062012, | |
| 0.006737922191619873, | |
| 0.006784481048583984, | |
| 0.006892321109771729, | |
| 0.0068195219039916995, | |
| 0.00679024076461792, | |
| 0.006754721164703369, | |
| 0.006772481918334961, | |
| 0.006731360912322998, | |
| 0.00672960090637207, | |
| 0.006743041038513184, | |
| 0.006703522205352783, | |
| 0.006728960990905762, | |
| 0.006782721042633057, | |
| 0.006762082099914551, | |
| 0.007373120784759522, | |
| 0.007508001804351807, | |
| 0.007549281120300293, | |
| 0.0075304021835327145, | |
| 0.007597600936889649, | |
| 0.006997282028198242, | |
| 0.007251521110534668, | |
| 0.00752000093460083, | |
| 0.007203201770782471, | |
| 0.007558880805969238, | |
| 0.0075156822204589845, | |
| 0.007522720813751221, | |
| 0.007469282150268554, | |
| 0.0074889612197875976, | |
| 0.00742160177230835, | |
| 0.007493121147155762, | |
| 0.008518402099609374, | |
| 0.007527040958404541, | |
| 0.007498561859130859, | |
| 0.007517120838165283, | |
| 0.007513922214508056, | |
| 0.007509921073913574, | |
| 0.007490081787109375, | |
| 0.007507521152496338, | |
| 0.007524322032928467, | |
| 0.007523040771484375, | |
| 0.007493762016296387, | |
| 0.007547521114349366, | |
| 0.007458240985870362, | |
| 0.007442401885986328, | |
| 0.007474400997161865, | |
| 0.007472641944885254, | |
| 0.007456161022186279, | |
| 0.007454401969909668, | |
| 0.007481921195983887, | |
| 0.007450242042541504, | |
| 0.007427041053771973, | |
| 0.007448001861572266, | |
| 0.00746432113647461, | |
| 0.007447202205657959, | |
| 0.007424641132354737, | |
| 0.007418080806732178, | |
| 0.0074406418800354, | |
| 0.007462080955505371, | |
| 0.007449601173400879, | |
| 0.00744032096862793, | |
| 0.0074660820960998535, | |
| 0.0074472007751464845, | |
| 0.007488481998443604, | |
| 0.007404961109161377, | |
| 0.007472482204437256 | |
| ] | |
| }, | |
| "throughput": { | |
| "unit": "samples/s", | |
| "value": 141.8719971690394 | |
| }, | |
| "energy": null, | |
| "efficiency": null | |
| } | |
| } | |
| } |