IlyasMoutawwakil
HF staff
Upload cuda_inference_transformers_fill-mask_google-bert/bert-base-uncased/benchmark.json with huggingface_hub
6bdf72c
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": "86906b8c1093b2f4cd2981b46a0b533238abf100", | |
| "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": 897.96608, | |
| "max_global_vram": 875.33568, | |
| "max_process_vram": 41392.984064, | |
| "max_reserved": 589.299712, | |
| "max_allocated": 533.571072 | |
| }, | |
| "latency": { | |
| "unit": "s", | |
| "count": 1, | |
| "total": 6.98841650390625, | |
| "mean": 6.98841650390625, | |
| "stdev": 0.0, | |
| "p50": 6.98841650390625, | |
| "p90": 6.98841650390625, | |
| "p95": 6.98841650390625, | |
| "p99": 6.98841650390625, | |
| "values": [ | |
| 6.98841650390625 | |
| ] | |
| }, | |
| "throughput": null, | |
| "energy": null, | |
| "efficiency": null | |
| }, | |
| "forward": { | |
| "memory": { | |
| "unit": "MB", | |
| "max_ram": 1017.352192, | |
| "max_global_vram": 938.27072, | |
| "max_process_vram": 218971.508736, | |
| "max_reserved": 589.299712, | |
| "max_allocated": 439.456768 | |
| }, | |
| "latency": { | |
| "unit": "s", | |
| "count": 136, | |
| "total": 0.9975551891326904, | |
| "mean": 0.007334964625975665, | |
| "stdev": 0.0004024901169749144, | |
| "p50": 0.007394074201583862, | |
| "p90": 0.0076264734268188476, | |
| "p95": 0.007677074193954468, | |
| "p99": 0.00804780905246735, | |
| "values": [ | |
| 0.007453114032745361, | |
| 0.0071961541175842286, | |
| 0.007222713947296143, | |
| 0.007375194072723389, | |
| 0.007435513973236084, | |
| 0.007490553855895996, | |
| 0.007429433822631836, | |
| 0.007190393924713135, | |
| 0.007349274158477783, | |
| 0.007290393829345703, | |
| 0.007647994041442871, | |
| 0.007256793975830078, | |
| 0.007279513835906982, | |
| 0.007168474197387695, | |
| 0.007179994106292725, | |
| 0.007121593952178955, | |
| 0.00721775484085083, | |
| 0.007625432968139648, | |
| 0.007541753768920898, | |
| 0.007592954158782959, | |
| 0.007515674114227295, | |
| 0.007569593906402588, | |
| 0.0074878339767456056, | |
| 0.007516473770141602, | |
| 0.007504312992095947, | |
| 0.010338711738586425, | |
| 0.007671994209289551, | |
| 0.007491353988647461, | |
| 0.007488314151763916, | |
| 0.007470073223114014, | |
| 0.007461113929748535, | |
| 0.007518074035644531, | |
| 0.00745759391784668, | |
| 0.007511834144592285, | |
| 0.007430074214935303, | |
| 0.007478074073791504, | |
| 0.007453433990478516, | |
| 0.007487514019012451, | |
| 0.007467033863067627, | |
| 0.007500953197479248, | |
| 0.007440154075622559, | |
| 0.007466874122619629, | |
| 0.007410714149475098, | |
| 0.0074619140625, | |
| 0.007417113780975342, | |
| 0.007045273780822754, | |
| 0.0072087950706481935, | |
| 0.0070764741897583, | |
| 0.007195834159851074, | |
| 0.007147994041442871, | |
| 0.007064154148101806, | |
| 0.007125275135040283, | |
| 0.007353754043579102, | |
| 0.007243353843688965, | |
| 0.006973274230957031, | |
| 0.006958874225616455, | |
| 0.0068105549812316896, | |
| 0.006858873844146729, | |
| 0.006821915149688721, | |
| 0.007235993862152099, | |
| 0.0070518341064453125, | |
| 0.006620794773101807, | |
| 0.006600634098052978, | |
| 0.006670875072479248, | |
| 0.006627034187316894, | |
| 0.006628475189208984, | |
| 0.007589273929595948, | |
| 0.0067844738960266115, | |
| 0.006899835109710694, | |
| 0.006644633769989014, | |
| 0.0066166348457336426, | |
| 0.006854713916778565, | |
| 0.0065996751785278324, | |
| 0.0066215949058532715, | |
| 0.006782393932342529, | |
| 0.007182553768157959, | |
| 0.007015034198760987, | |
| 0.006600794792175293, | |
| 0.0068387150764465336, | |
| 0.006801595211029052, | |
| 0.006605114936828613, | |
| 0.007331833839416504, | |
| 0.007396793842315673, | |
| 0.007391833782196045, | |
| 0.007258234024047852, | |
| 0.007342874050140381, | |
| 0.007339993953704834, | |
| 0.00727855396270752, | |
| 0.007473114013671875, | |
| 0.007378873825073243, | |
| 0.007717752933502197, | |
| 0.007344793796539306, | |
| 0.007219194889068603, | |
| 0.007181273937225342, | |
| 0.007547194004058838, | |
| 0.0076561541557312015, | |
| 0.007566554069519043, | |
| 0.0074047942161560056, | |
| 0.007513274192810058, | |
| 0.007422714233398437, | |
| 0.007361914157867432, | |
| 0.007132954120635986, | |
| 0.007755353927612305, | |
| 0.0077719931602478025, | |
| 0.007466393947601319, | |
| 0.007608473777770996, | |
| 0.008177112579345704, | |
| 0.007501433849334717, | |
| 0.0074291138648986815, | |
| 0.007387033939361572, | |
| 0.0074505538940429685, | |
| 0.00742095422744751, | |
| 0.007380474090576172, | |
| 0.007356473922729492, | |
| 0.007398074150085449, | |
| 0.007364473819732666, | |
| 0.007296954154968262, | |
| 0.007392154216766357, | |
| 0.007468153953552246, | |
| 0.007395994186401367, | |
| 0.007389753818511963, | |
| 0.007384314060211182, | |
| 0.007314074039459229, | |
| 0.0078076739311218266, | |
| 0.0076193537712097165, | |
| 0.007645273208618164, | |
| 0.00762895393371582, | |
| 0.007623834133148193, | |
| 0.007692314147949218, | |
| 0.0076401538848876955, | |
| 0.00760463285446167, | |
| 0.007627513885498047, | |
| 0.007616794109344483, | |
| 0.007610232830047608, | |
| 0.007613274097442627, | |
| 0.0076163139343261715 | |
| ] | |
| }, | |
| "throughput": { | |
| "unit": "samples/s", | |
| "value": 136.33330915580038 | |
| }, | |
| "energy": null, | |
| "efficiency": null | |
| } | |
| } | |
| } |