IlyasMoutawwakil
HF staff
Upload cuda_inference_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json with huggingface_hub
f59f5c5
verified
| { | |
| "config": { | |
| "name": "cuda_inference_transformers_multiple-choice_FacebookAI/roberta-base", | |
| "backend": { | |
| "name": "pytorch", | |
| "version": "2.2.2+rocm5.7", | |
| "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend", | |
| "task": "multiple-choice", | |
| "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", | |
| "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": "0.2.0", | |
| "optimum_benchmark_commit": "a84403909b6e036e6ac3ccba23f1df81c197a364", | |
| "transformers_version": "4.40.2", | |
| "transformers_commit": null, | |
| "accelerate_version": "0.30.1", | |
| "accelerate_commit": null, | |
| "diffusers_version": "0.27.2", | |
| "diffusers_commit": null, | |
| "optimum_version": null, | |
| "optimum_commit": null, | |
| "timm_version": "1.0.3", | |
| "timm_commit": null, | |
| "peft_version": null, | |
| "peft_commit": null | |
| } | |
| }, | |
| "report": { | |
| "forward": { | |
| "memory": { | |
| "unit": "MB", | |
| "max_ram": 1003.425792, | |
| "max_global_vram": 1878.843392, | |
| "max_process_vram": 206768.119808, | |
| "max_reserved": 555.74528, | |
| "max_allocated": 499.507712 | |
| }, | |
| "latency": { | |
| "unit": "s", | |
| "count": 133, | |
| "total": 1.0004524488449102, | |
| "mean": 0.0075221988634955606, | |
| "stdev": 0.0003529573298637755, | |
| "p50": 0.007391374111175537, | |
| "p90": 0.008042510986328124, | |
| "p95": 0.008129519844055175, | |
| "p99": 0.008220085792541505, | |
| "values": [ | |
| 0.008164976119995117, | |
| 0.007945294857025147, | |
| 0.007964015007019043, | |
| 0.008045934677124023, | |
| 0.008135855674743652, | |
| 0.008132015228271484, | |
| 0.008127856254577636, | |
| 0.008082414627075195, | |
| 0.008064814567565918, | |
| 0.008028816223144532, | |
| 0.007988814830780028, | |
| 0.00793473482131958, | |
| 0.007907855033874511, | |
| 0.00788993501663208, | |
| 0.007901134967803956, | |
| 0.007895695209503175, | |
| 0.007895054817199708, | |
| 0.007779853820800781, | |
| 0.0076152138710021975, | |
| 0.007455373764038086, | |
| 0.007291694164276123, | |
| 0.007305133819580078, | |
| 0.007212654113769531, | |
| 0.007362092971801758, | |
| 0.009235857009887695, | |
| 0.0080504150390625, | |
| 0.007766894817352295, | |
| 0.007765134811401367, | |
| 0.007860654830932618, | |
| 0.007850735187530518, | |
| 0.007631053924560547, | |
| 0.008113615989685059, | |
| 0.007972495079040527, | |
| 0.007824174880981445, | |
| 0.007418734073638916, | |
| 0.007492973804473877, | |
| 0.007606733798980713, | |
| 0.007570573806762695, | |
| 0.0073798542022705076, | |
| 0.00771521520614624, | |
| 0.007506574153900146, | |
| 0.007810255050659179, | |
| 0.007474413871765137, | |
| 0.007787215232849121, | |
| 0.007716814994812012, | |
| 0.007919054985046386, | |
| 0.0075155339241027835, | |
| 0.007622893810272217, | |
| 0.007515854835510254, | |
| 0.007443533897399902, | |
| 0.0076550540924072265, | |
| 0.00788673496246338, | |
| 0.007551215171813965, | |
| 0.007176972866058349, | |
| 0.0071480140686035155, | |
| 0.007156332969665527, | |
| 0.007172332763671875, | |
| 0.007152493953704834, | |
| 0.007195853233337403, | |
| 0.007158254146575928, | |
| 0.0071907339096069335, | |
| 0.007172173023223877, | |
| 0.007187213897705078, | |
| 0.007187213897705078, | |
| 0.0071451330184936525, | |
| 0.007196653842926026, | |
| 0.007207532882690429, | |
| 0.007258573055267334, | |
| 0.007192014217376709, | |
| 0.007191534042358398, | |
| 0.007204973220825196, | |
| 0.007158894062042237, | |
| 0.007191854000091553, | |
| 0.0071952128410339355, | |
| 0.007200334072113037, | |
| 0.00716705322265625, | |
| 0.007157612800598145, | |
| 0.007160654067993164, | |
| 0.00721953296661377, | |
| 0.00720993423461914, | |
| 0.007174734115600586, | |
| 0.007203213214874268, | |
| 0.0072451338768005375, | |
| 0.0072169737815856935, | |
| 0.0072169737815856935, | |
| 0.007182733058929443, | |
| 0.007294894218444824, | |
| 0.0073142538070678715, | |
| 0.0072830538749694826, | |
| 0.0072500939369201664, | |
| 0.007279053211212159, | |
| 0.007281773090362549, | |
| 0.007496335029602051, | |
| 0.0072472128868103025, | |
| 0.007313293933868408, | |
| 0.007278093814849854, | |
| 0.007298093795776367, | |
| 0.007427854061126709, | |
| 0.007294734001159668, | |
| 0.0072875342369079586, | |
| 0.007269293785095215, | |
| 0.007270732879638672, | |
| 0.007290894031524658, | |
| 0.008089136123657227, | |
| 0.008164335250854492, | |
| 0.008200176239013672, | |
| 0.00822945499420166, | |
| 0.007660813808441162, | |
| 0.007647214889526367, | |
| 0.007709613800048828, | |
| 0.00785393476486206, | |
| 0.007583215236663819, | |
| 0.007657614231109619, | |
| 0.007723535060882568, | |
| 0.007694573879241944, | |
| 0.007562253952026367, | |
| 0.007391374111175537, | |
| 0.007434733867645264, | |
| 0.007407534122467041, | |
| 0.007344654083251953, | |
| 0.007281134128570557, | |
| 0.007246734142303467, | |
| 0.007243853092193603, | |
| 0.007295534133911132, | |
| 0.007556175231933594, | |
| 0.007302893161773682, | |
| 0.0073176131248474125, | |
| 0.007264974117279052, | |
| 0.007303053855895996, | |
| 0.007253613948822022, | |
| 0.007283854007720947, | |
| 0.00728721284866333, | |
| 0.007302093029022217 | |
| ] | |
| }, | |
| "throughput": { | |
| "unit": "samples/s", | |
| "value": 132.93985151773836 | |
| }, | |
| "energy": null, | |
| "efficiency": null | |
| } | |
| } | |
| } |