IlyasMoutawwakil
HF staff
Upload cuda_inference_transformers_text-classification_FacebookAI/roberta-base/benchmark.json with huggingface_hub
17575b8
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", | |
| "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": "2516ce57a5b64eefeb78dc75a171e0cdff88823e", | |
| "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": 1009.00864, | |
| "max_global_vram": 1877.528576, | |
| "max_process_vram": 222345.404416, | |
| "max_reserved": 555.74528, | |
| "max_allocated": 499.443712 | |
| }, | |
| "latency": { | |
| "unit": "s", | |
| "count": 132, | |
| "total": 1.000527513504028, | |
| "mean": 0.007579753890182033, | |
| "stdev": 0.0004245242669204911, | |
| "p50": 0.007688728332519532, | |
| "p90": 0.007763704872131347, | |
| "p95": 0.007870545053482055, | |
| "p99": 0.008343991012573241, | |
| "values": [ | |
| 0.007955688953399659, | |
| 0.00775216817855835, | |
| 0.0077526488304138184, | |
| 0.007820808887481689, | |
| 0.007896328926086426, | |
| 0.008017128944396972, | |
| 0.0080921688079834, | |
| 0.007758088111877441, | |
| 0.007687209129333496, | |
| 0.007783528804779053, | |
| 0.007711688041687012, | |
| 0.007218089103698731, | |
| 0.007568967819213867, | |
| 0.007321767807006836, | |
| 0.007552649021148682, | |
| 0.007841608047485352, | |
| 0.007438248157501221, | |
| 0.006845128059387207, | |
| 0.006939846992492676, | |
| 0.007076007843017578, | |
| 0.006936808109283447, | |
| 0.006936168193817139, | |
| 0.006774406909942627, | |
| 0.006796487808227539, | |
| 0.006785607814788818, | |
| 0.006986886978149414, | |
| 0.006776968002319336, | |
| 0.007060167789459229, | |
| 0.00729312801361084, | |
| 0.007473127841949463, | |
| 0.007631527900695801, | |
| 0.007414087772369384, | |
| 0.01066305160522461, | |
| 0.007849449157714844, | |
| 0.007689448833465576, | |
| 0.007665768146514893, | |
| 0.007651689052581787, | |
| 0.007662407875061035, | |
| 0.007656009197235108, | |
| 0.007693929195404053, | |
| 0.0076691279411315915, | |
| 0.007668808937072754, | |
| 0.007687368869781494, | |
| 0.007668168067932129, | |
| 0.007661609172821045, | |
| 0.007667208194732666, | |
| 0.007708488941192627, | |
| 0.007663848876953125, | |
| 0.0076665678024291995, | |
| 0.0076928091049194335, | |
| 0.0077168078422546384, | |
| 0.0077331290245056155, | |
| 0.007690568923950195, | |
| 0.007723368167877197, | |
| 0.007694408893585205, | |
| 0.00796912908554077, | |
| 0.0077064080238342285, | |
| 0.007663047790527343, | |
| 0.007650249004364014, | |
| 0.007741447925567627, | |
| 0.007702569007873535, | |
| 0.007721609115600586, | |
| 0.007682888031005859, | |
| 0.0076945691108703616, | |
| 0.007700168132781983, | |
| 0.007682249069213867, | |
| 0.007685608863830566, | |
| 0.008457128524780273, | |
| 0.007730888843536377, | |
| 0.007722727775573731, | |
| 0.007691527843475342, | |
| 0.007723208904266358, | |
| 0.007708968162536621, | |
| 0.007734249114990235, | |
| 0.0077452888488769535, | |
| 0.0076942481994628905, | |
| 0.007702408790588379, | |
| 0.0077132887840271, | |
| 0.007736807823181153, | |
| 0.007728488922119141, | |
| 0.007692008972167969, | |
| 0.00775440788269043, | |
| 0.007731849193572998, | |
| 0.0077643289566040035, | |
| 0.007700007915496826, | |
| 0.007696649074554443, | |
| 0.007669609069824218, | |
| 0.007719687938690186, | |
| 0.007734569072723388, | |
| 0.007786249160766602, | |
| 0.007710087776184082, | |
| 0.007712008953094482, | |
| 0.0076694488525390625, | |
| 0.0076739277839660645, | |
| 0.007685129165649414, | |
| 0.00770416784286499, | |
| 0.007705928802490235, | |
| 0.007683369159698486, | |
| 0.0076880078315734865, | |
| 0.007707048892974853, | |
| 0.007690248966217041, | |
| 0.007682248115539551, | |
| 0.007680169105529785, | |
| 0.007721928119659424, | |
| 0.00767744779586792, | |
| 0.0077710490226745605, | |
| 0.00772192907333374, | |
| 0.0076953678131103515, | |
| 0.007669128894805908, | |
| 0.00770416784286499, | |
| 0.007705129146575927, | |
| 0.007718248844146729, | |
| 0.007730728149414063, | |
| 0.007722249031066894, | |
| 0.007602569103240967, | |
| 0.007430727958679199, | |
| 0.00738864803314209, | |
| 0.007309127807617188, | |
| 0.007132328033447265, | |
| 0.007307528972625732, | |
| 0.00697232723236084, | |
| 0.006788968086242676, | |
| 0.006782408237457275, | |
| 0.007139048099517822, | |
| 0.0076851282119750975, | |
| 0.007446248054504395, | |
| 0.006942087173461914, | |
| 0.006806888103485107, | |
| 0.00678928804397583, | |
| 0.006829607009887695, | |
| 0.00681328821182251, | |
| 0.006854407787322998 | |
| ] | |
| }, | |
| "throughput": { | |
| "unit": "samples/s", | |
| "value": 131.9304049298076 | |
| }, | |
| "energy": null, | |
| "efficiency": null | |
| } | |
| } | |
| } |