IlyasMoutawwakil
HF staff
Upload cuda_inference_transformers_fill-mask_google-bert/bert-base-uncased/benchmark.json with huggingface_hub
9c2a42c
verified
| { | |
| "config": { | |
| "name": "cuda_inference_transformers_fill-mask_google-bert/bert-base-uncased", | |
| "backend": { | |
| "name": "pytorch", | |
| "version": "2.2.2+rocm5.7", | |
| "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend", | |
| "task": "fill-mask", | |
| "library": "transformers", | |
| "model_type": "bert", | |
| "model": "google-bert/bert-base-uncased", | |
| "processor": "google-bert/bert-base-uncased", | |
| "device": "cuda", | |
| "device_ids": "0", | |
| "seed": 42, | |
| "inter_op_num_threads": null, | |
| "intra_op_num_threads": null, | |
| "model_kwargs": {}, | |
| "processor_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, | |
| "memory": true, | |
| "latency": 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": "9337b863a5d9e4991ca83847e6c2f66a543b52d9", | |
| "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": { | |
| "load": { | |
| "memory": { | |
| "unit": "MB", | |
| "max_ram": 898.224128, | |
| "max_global_vram": 875.339776, | |
| "max_process_vram": 40946.692096, | |
| "max_reserved": 589.299712, | |
| "max_allocated": 533.571072 | |
| }, | |
| "latency": { | |
| "unit": "s", | |
| "count": 1, | |
| "total": 7.06197802734375, | |
| "mean": 7.06197802734375, | |
| "stdev": 0.0, | |
| "p50": 7.06197802734375, | |
| "p90": 7.06197802734375, | |
| "p95": 7.06197802734375, | |
| "p99": 7.06197802734375, | |
| "values": [ | |
| 7.06197802734375 | |
| ] | |
| }, | |
| "throughput": null, | |
| "energy": null, | |
| "efficiency": null | |
| }, | |
| "forward": { | |
| "memory": { | |
| "unit": "MB", | |
| "max_ram": 1017.864192, | |
| "max_global_vram": 938.881024, | |
| "max_process_vram": 213864.792064, | |
| "max_reserved": 589.299712, | |
| "max_allocated": 439.456768 | |
| }, | |
| "latency": { | |
| "unit": "s", | |
| "count": 136, | |
| "total": 1.0002100071907045, | |
| "mean": 0.007354485346990473, | |
| "stdev": 0.0005281262987507506, | |
| "p50": 0.007271020174026489, | |
| "p90": 0.00779749846458435, | |
| "p95": 0.007948457837104798, | |
| "p99": 0.009123198509216316, | |
| "values": [ | |
| 0.00830877685546875, | |
| 0.008129897117614747, | |
| 0.007917418003082275, | |
| 0.007966217994689941, | |
| 0.008008618354797364, | |
| 0.007930697917938233, | |
| 0.007942537784576416, | |
| 0.007886218070983888, | |
| 0.007535179138183593, | |
| 0.007459339141845703, | |
| 0.007844458103179932, | |
| 0.007470058917999268, | |
| 0.007332940101623536, | |
| 0.007403499126434327, | |
| 0.007262219905853271, | |
| 0.0072927789688110355, | |
| 0.0072154998779296875, | |
| 0.007227819919586181, | |
| 0.007239180088043213, | |
| 0.00736941909790039, | |
| 0.0072670202255249025, | |
| 0.007230379104614258, | |
| 0.007295340061187744, | |
| 0.007180459976196289, | |
| 0.009561733245849609, | |
| 0.010885729789733886, | |
| 0.007896297931671143, | |
| 0.007139979839324951, | |
| 0.006895340919494629, | |
| 0.0071372599601745605, | |
| 0.0070278201103210446, | |
| 0.007323019981384278, | |
| 0.007712138175964355, | |
| 0.007761258125305176, | |
| 0.0077074990272521975, | |
| 0.007722057819366455, | |
| 0.007697258949279785, | |
| 0.007758058071136474, | |
| 0.007719178199768067, | |
| 0.007711019039154053, | |
| 0.0076759781837463376, | |
| 0.0078095788955688476, | |
| 0.007710698127746582, | |
| 0.007757577896118164, | |
| 0.007761579036712646, | |
| 0.007736298084259033, | |
| 0.007749258041381836, | |
| 0.00775101900100708, | |
| 0.007734538078308106, | |
| 0.0077086181640625, | |
| 0.0074076600074768064, | |
| 0.007091340065002442, | |
| 0.006909101009368896, | |
| 0.007116460800170898, | |
| 0.006932139873504639, | |
| 0.006905100822448731, | |
| 0.006856300830841064, | |
| 0.006948140144348145, | |
| 0.006896941184997558, | |
| 0.0069455809593200685, | |
| 0.006914859771728516, | |
| 0.006906540870666504, | |
| 0.006919981002807617, | |
| 0.006832459926605225, | |
| 0.006885100841522216, | |
| 0.006919021129608154, | |
| 0.006913899898529053, | |
| 0.006897100925445557, | |
| 0.006936301231384277, | |
| 0.00692110013961792, | |
| 0.006933580875396728, | |
| 0.006898701190948486, | |
| 0.006922220230102539, | |
| 0.006887660980224609, | |
| 0.006855340957641601, | |
| 0.006895660877227783, | |
| 0.006867980003356934, | |
| 0.0069150209426879885, | |
| 0.007147019863128662, | |
| 0.007353740215301514, | |
| 0.007339019775390625, | |
| 0.0068886208534240725, | |
| 0.007116940021514893, | |
| 0.007435179233551025, | |
| 0.007757418155670166, | |
| 0.007685419082641602, | |
| 0.00772333812713623, | |
| 0.007736618995666504, | |
| 0.007691818237304688, | |
| 0.007739818096160889, | |
| 0.007275020122528076, | |
| 0.007450698852539062, | |
| 0.0076775789260864254, | |
| 0.007684298038482666, | |
| 0.0077854180335998535, | |
| 0.00729118013381958, | |
| 0.007130380153656006, | |
| 0.0073356590270996095, | |
| 0.007175819873809814, | |
| 0.007141900062561035, | |
| 0.006948781013488769, | |
| 0.006866701126098633, | |
| 0.007105100154876709, | |
| 0.007670537948608398, | |
| 0.007695979118347168, | |
| 0.0077185378074646, | |
| 0.008224937438964844, | |
| 0.007516458988189697, | |
| 0.007610058784484864, | |
| 0.007639179229736328, | |
| 0.007739337921142578, | |
| 0.007436938762664795, | |
| 0.007473739147186279, | |
| 0.007381899833679199, | |
| 0.007112460136413574, | |
| 0.007374538898468018, | |
| 0.007229420185089111, | |
| 0.007242219924926758, | |
| 0.007060299873352051, | |
| 0.006808141231536865, | |
| 0.006785420894622802, | |
| 0.006819820880889892, | |
| 0.006790060997009278, | |
| 0.006969099998474121, | |
| 0.006796620845794678, | |
| 0.007107339859008789, | |
| 0.006893900871276856, | |
| 0.006897581100463867, | |
| 0.006770060062408447, | |
| 0.006763980865478515, | |
| 0.006837901115417481, | |
| 0.006890699863433838, | |
| 0.006882861137390137, | |
| 0.006754540920257569, | |
| 0.006888461112976074, | |
| 0.00694542121887207 | |
| ] | |
| }, | |
| "throughput": { | |
| "unit": "samples/s", | |
| "value": 135.9714450188156 | |
| }, | |
| "energy": null, | |
| "efficiency": null | |
| } | |
| } | |
| } |