IlyasMoutawwakil
HF staff
Upload cuda_inference_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json with huggingface_hub
337d489
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", | |
| "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": 1004.544, | |
| "max_global_vram": 898.473984, | |
| "max_process_vram": 183964.778496, | |
| "max_reserved": 555.74528, | |
| "max_allocated": 499.507712 | |
| }, | |
| "latency": { | |
| "unit": "s", | |
| "count": 128, | |
| "total": 1.00066646194458, | |
| "mean": 0.007817706733942033, | |
| "stdev": 0.0003436574035952411, | |
| "p50": 0.007770474433898926, | |
| "p90": 0.008092649936676025, | |
| "p95": 0.008151354122161865, | |
| "p99": 0.008524281558990479, | |
| "values": [ | |
| 0.007893434047698974, | |
| 0.007874234199523926, | |
| 0.008087034225463868, | |
| 0.008119994163513184, | |
| 0.00809791374206543, | |
| 0.00798543405532837, | |
| 0.007931034088134765, | |
| 0.007888315200805664, | |
| 0.007900474071502685, | |
| 0.00786143398284912, | |
| 0.00783967399597168, | |
| 0.007795194149017334, | |
| 0.007813914775848389, | |
| 0.00783567476272583, | |
| 0.007877433776855469, | |
| 0.007787673950195312, | |
| 0.007762874126434326, | |
| 0.007771194934844971, | |
| 0.00777359390258789, | |
| 0.007779833793640137, | |
| 0.00776271390914917, | |
| 0.00782911491394043, | |
| 0.007743195056915283, | |
| 0.0077686338424682614, | |
| 0.007812314033508301, | |
| 0.0077585549354553226, | |
| 0.007772474765777588, | |
| 0.0078078341484069825, | |
| 0.007814233779907226, | |
| 0.007782393932342529, | |
| 0.007777114868164062, | |
| 0.007719833850860596, | |
| 0.0077387142181396485, | |
| 0.010898072242736817, | |
| 0.007778234004974365, | |
| 0.007602554798126221, | |
| 0.0076182341575622555, | |
| 0.007577754020690918, | |
| 0.0075292749404907225, | |
| 0.0075350341796875, | |
| 0.0075385551452636715, | |
| 0.007540314197540283, | |
| 0.007537754058837891, | |
| 0.007617434978485107, | |
| 0.007745753765106201, | |
| 0.007600793838500977, | |
| 0.007546074867248535, | |
| 0.007723993778228759, | |
| 0.007906874179840089, | |
| 0.007938074111938477, | |
| 0.007836635112762452, | |
| 0.007645594120025635, | |
| 0.0076585540771484375, | |
| 0.007797434806823731, | |
| 0.007769753932952881, | |
| 0.007613594055175781, | |
| 0.007625914096832275, | |
| 0.007604955196380615, | |
| 0.007806873798370361, | |
| 0.0075948739051818846, | |
| 0.007598555088043213, | |
| 0.007581433773040771, | |
| 0.007611674785614014, | |
| 0.007620473861694336, | |
| 0.007541913986206055, | |
| 0.007647194862365723, | |
| 0.007648153781890869, | |
| 0.007588153839111328, | |
| 0.007616475105285645, | |
| 0.007607034206390381, | |
| 0.007572955131530762, | |
| 0.007621913909912109, | |
| 0.007635673999786377, | |
| 0.007610555171966553, | |
| 0.007630074024200439, | |
| 0.007565753936767578, | |
| 0.007626395225524902, | |
| 0.007524154186248779, | |
| 0.0077012739181518556, | |
| 0.007619355201721191, | |
| 0.007702874183654785, | |
| 0.007613433837890625, | |
| 0.007572955131530762, | |
| 0.007810554027557373, | |
| 0.008535513877868653, | |
| 0.008387353897094727, | |
| 0.007969913959503173, | |
| 0.008155834197998047, | |
| 0.00849391269683838, | |
| 0.008319993972778321, | |
| 0.007950074195861816, | |
| 0.007948954105377198, | |
| 0.007888315200805664, | |
| 0.007952313899993896, | |
| 0.00806943416595459, | |
| 0.008143033981323242, | |
| 0.008126073837280274, | |
| 0.008060954093933105, | |
| 0.008000473976135253, | |
| 0.008075674057006836, | |
| 0.00812015438079834, | |
| 0.008211194038391113, | |
| 0.008090394020080566, | |
| 0.008101114273071289, | |
| 0.007983994007110596, | |
| 0.007890714168548583, | |
| 0.008005754470825195, | |
| 0.008040473937988282, | |
| 0.007993914127349854, | |
| 0.00784623384475708, | |
| 0.007913593769073485, | |
| 0.007915034770965576, | |
| 0.00791055393218994, | |
| 0.007950553894042969, | |
| 0.0076278338432312015, | |
| 0.007584634780883789, | |
| 0.0076511940956115725, | |
| 0.007625594139099121, | |
| 0.007608475208282471, | |
| 0.007570074081420898, | |
| 0.007630073070526123, | |
| 0.007614554882049561, | |
| 0.007677274227142334, | |
| 0.007621754169464112, | |
| 0.007629915237426758, | |
| 0.007633753776550293, | |
| 0.007615513801574707, | |
| 0.007702875137329102 | |
| ] | |
| }, | |
| "throughput": { | |
| "unit": "samples/s", | |
| "value": 127.91474968718299 | |
| }, | |
| "energy": null, | |
| "efficiency": null | |
| } | |
| } | |
| } |