IlyasMoutawwakil
HF staff
Upload cuda_inference_transformers_text-classification_FacebookAI/roberta-base/benchmark.json with huggingface_hub
eab91ad
verified
| { | |
| "config": { | |
| "name": "cuda_inference_transformers_text-classification_FacebookAI/roberta-base", | |
| "backend": { | |
| "name": "pytorch", | |
| "version": "2.2.2+rocm5.7", | |
| "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend", | |
| "task": "text-classification", | |
| "library": "transformers", | |
| "model": "FacebookAI/roberta-base", | |
| "processor": "FacebookAI/roberta-base", | |
| "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": "dd02f26cb819965cbf86e16d9ce013cddc3b86af", | |
| "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": 1010.118656, | |
| "max_global_vram": 897.150976, | |
| "max_process_vram": 178329.726976, | |
| "max_reserved": 555.74528, | |
| "max_allocated": 499.443712 | |
| }, | |
| "latency": { | |
| "unit": "s", | |
| "count": 135, | |
| "total": 0.9989598951339719, | |
| "mean": 0.007399702926918312, | |
| "stdev": 0.00041655773679716496, | |
| "p50": 0.007324312210083008, | |
| "p90": 0.007802520847320556, | |
| "p95": 0.007813289022445678, | |
| "p99": 0.007865096940994262, | |
| "values": [ | |
| 0.007301912784576416, | |
| 0.006994393825531006, | |
| 0.007037593841552735, | |
| 0.007069272994995117, | |
| 0.007035513877868652, | |
| 0.007098873138427734, | |
| 0.007038074016571045, | |
| 0.007054234027862549, | |
| 0.007015192985534668, | |
| 0.007029273986816406, | |
| 0.007004794120788574, | |
| 0.007084633827209473, | |
| 0.007027833938598633, | |
| 0.007109113216400146, | |
| 0.007115193843841553, | |
| 0.007133273124694825, | |
| 0.00715519380569458, | |
| 0.007179032802581787, | |
| 0.0070878338813781736, | |
| 0.007009432792663574, | |
| 0.006974234104156494, | |
| 0.007129434108734131, | |
| 0.006993432998657226, | |
| 0.007220314025878906, | |
| 0.007027352809906006, | |
| 0.007039993762969971, | |
| 0.0070067138671875, | |
| 0.006999353885650635, | |
| 0.0070518341064453125, | |
| 0.00703359317779541, | |
| 0.006984953880310059, | |
| 0.006976953983306885, | |
| 0.006967992782592774, | |
| 0.006999993801116943, | |
| 0.006978874206542969, | |
| 0.010242230415344238, | |
| 0.00730527400970459, | |
| 0.006959193229675293, | |
| 0.006946874141693115, | |
| 0.0071582341194152835, | |
| 0.007176154136657715, | |
| 0.0072433528900146486, | |
| 0.007045753955841064, | |
| 0.007417273044586181, | |
| 0.00762431287765503, | |
| 0.0073227138519287105, | |
| 0.00745279312133789, | |
| 0.0075399928092956545, | |
| 0.007662073135375976, | |
| 0.007434553146362305, | |
| 0.007328154087066651, | |
| 0.007467672824859619, | |
| 0.007358073234558105, | |
| 0.007534553050994873, | |
| 0.007803352832794189, | |
| 0.007640472888946533, | |
| 0.007488953113555908, | |
| 0.007636952877044678, | |
| 0.007526073932647705, | |
| 0.0075915131568908695, | |
| 0.007645913124084473, | |
| 0.007478872776031494, | |
| 0.0069166340827941895, | |
| 0.006914553165435791, | |
| 0.0069881539344787596, | |
| 0.006931513786315918, | |
| 0.00705167293548584, | |
| 0.007275993824005127, | |
| 0.006941432952880859, | |
| 0.006930553913116455, | |
| 0.006943833827972412, | |
| 0.007829273223876953, | |
| 0.007773433208465576, | |
| 0.0077694330215454105, | |
| 0.007780473232269287, | |
| 0.007801272869110107, | |
| 0.007745593070983887, | |
| 0.007774073123931885, | |
| 0.007758392810821533, | |
| 0.007779353141784668, | |
| 0.0077596731185913086, | |
| 0.007768952846527099, | |
| 0.00778959321975708, | |
| 0.00780767297744751, | |
| 0.0077646331787109375, | |
| 0.007763513088226318, | |
| 0.007739192962646484, | |
| 0.007784313201904297, | |
| 0.007782073020935059, | |
| 0.007808312892913818, | |
| 0.007770233154296875, | |
| 0.007772472858428955, | |
| 0.00778223180770874, | |
| 0.007764153003692627, | |
| 0.007811673164367676, | |
| 0.007799353122711182, | |
| 0.007770873069763183, | |
| 0.007811832904815674, | |
| 0.007827672958374023, | |
| 0.007797112941741943, | |
| 0.007785593032836914, | |
| 0.007865912914276123, | |
| 0.007809272766113281, | |
| 0.0077700729370117185, | |
| 0.007753433227539063, | |
| 0.007754552841186524, | |
| 0.007798552989959717, | |
| 0.007812952995300293, | |
| 0.007751352787017822, | |
| 0.007785752773284912, | |
| 0.007814073085784912, | |
| 0.00696959400177002, | |
| 0.006952473163604736, | |
| 0.006968634128570557, | |
| 0.006919194221496582, | |
| 0.006936633110046387, | |
| 0.006945754051208496, | |
| 0.006943833827972412, | |
| 0.007364152908325195, | |
| 0.007816792964935303, | |
| 0.007781912803649902, | |
| 0.007863512992858887, | |
| 0.007656952857971191, | |
| 0.007318552970886231, | |
| 0.007356472969055176, | |
| 0.007307034015655517, | |
| 0.007208152770996094, | |
| 0.007233754158020019, | |
| 0.007301113128662109, | |
| 0.007314713001251221, | |
| 0.007344473838806152, | |
| 0.007332313060760498, | |
| 0.007235672950744629, | |
| 0.007284153938293457, | |
| 0.007324312210083008 | |
| ] | |
| }, | |
| "throughput": { | |
| "unit": "samples/s", | |
| "value": 135.14056035442238 | |
| }, | |
| "energy": null, | |
| "efficiency": null | |
| } | |
| } | |
| } |