
IlyasMoutawwakil
HF staff
Upload cuda_inference_transformers_fill-mask_google-bert/bert-base-uncased/benchmark.json with huggingface_hub
ea38f57
verified
{ | |
"config": { | |
"name": "cuda_inference_transformers_fill-mask_google-bert/bert-base-uncased", | |
"backend": { | |
"name": "pytorch", | |
"version": "2.3.0+cu121", | |
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend", | |
"task": "fill-mask", | |
"library": "transformers", | |
"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": {}, | |
"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": true, | |
"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 7R32", | |
"cpu_count": 16, | |
"cpu_ram_mb": 66697.29792, | |
"system": "Linux", | |
"machine": "x86_64", | |
"platform": "Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35", | |
"processor": "x86_64", | |
"python_version": "3.10.12", | |
"gpu": [ | |
"NVIDIA A10G" | |
], | |
"gpu_count": 1, | |
"gpu_vram_mb": 24146608128, | |
"optimum_benchmark_version": "0.2.0", | |
"optimum_benchmark_commit": null, | |
"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": 878.043136, | |
"max_global_vram": 1231.552512, | |
"max_process_vram": 0.0, | |
"max_reserved": 591.396864, | |
"max_allocated": 449.269248 | |
}, | |
"latency": { | |
"unit": "s", | |
"count": 149, | |
"total": 1.000355903148651, | |
"mean": 0.006713798007709068, | |
"stdev": 0.0002075072015509409, | |
"p50": 0.006647808074951172, | |
"p90": 0.006985113620758057, | |
"p95": 0.007069695949554443, | |
"p99": 0.007171399688720703, | |
"values": [ | |
0.007374847888946533, | |
0.007003136157989502, | |
0.0071792640686035155, | |
0.007073791980743408, | |
0.007162879943847656, | |
0.007063551902770996, | |
0.007111680030822754, | |
0.007003136157989502, | |
0.007087103843688965, | |
0.006958079814910889, | |
0.006870016098022461, | |
0.0068853759765625, | |
0.006933504104614257, | |
0.006951935768127441, | |
0.006822912216186523, | |
0.006793216228485107, | |
0.006872064113616944, | |
0.007104512214660645, | |
0.007037951946258545, | |
0.006933504104614257, | |
0.007073791980743408, | |
0.0068618240356445315, | |
0.006980607986450196, | |
0.0068915200233459475, | |
0.006940671920776367, | |
0.006931456089019775, | |
0.006598656177520752, | |
0.0066447358131408694, | |
0.006646783828735352, | |
0.006498303890228272, | |
0.006555647850036621, | |
0.006583295822143555, | |
0.006631423950195312, | |
0.0068853759765625, | |
0.0069621758460998535, | |
0.006843391895294189, | |
0.006814720153808594, | |
0.006872064113616944, | |
0.006873087882995605, | |
0.00682700777053833, | |
0.006837247848510742, | |
0.006870016098022461, | |
0.006873087882995605, | |
0.006930431842803955, | |
0.007007232189178467, | |
0.006972415924072266, | |
0.006642687797546387, | |
0.006684671878814697, | |
0.006662144184112549, | |
0.006505472183227539, | |
0.006765567779541016, | |
0.006975488185882568, | |
0.006947840213775635, | |
0.007037951946258545, | |
0.0069550080299377445, | |
0.006860799789428711, | |
0.006721536159515381, | |
0.006838272094726563, | |
0.006903808116912841, | |
0.006810624122619629, | |
0.0070256638526916505, | |
0.006871039867401123, | |
0.006819839954376221, | |
0.006830080032348633, | |
0.006895616054534912, | |
0.006860799789428711, | |
0.006936575889587402, | |
0.0066744318008422855, | |
0.0068689918518066405, | |
0.00688640022277832, | |
0.006647808074951172, | |
0.0066109437942504885, | |
0.00658841609954834, | |
0.0066109437942504885, | |
0.006627327919006347, | |
0.006589439868927002, | |
0.006586368083953857, | |
0.006615039825439453, | |
0.006561791896820069, | |
0.0065136637687683106, | |
0.006814720153808594, | |
0.006731840133666992, | |
0.006623231887817383, | |
0.0067420158386230465, | |
0.006793216228485107, | |
0.006703104019165039, | |
0.006562816143035889, | |
0.006503424167633057, | |
0.00667852783203125, | |
0.0067717118263244626, | |
0.006699007987976074, | |
0.006673408031463623, | |
0.006806528091430664, | |
0.006825984001159668, | |
0.006939648151397705, | |
0.006860799789428711, | |
0.006632448196411133, | |
0.006574079990386963, | |
0.006502399921417237, | |
0.0065146880149841305, | |
0.006479872226715088, | |
0.00653004789352417, | |
0.006499328136444092, | |
0.006533120155334473, | |
0.006561791896820069, | |
0.0064440321922302245, | |
0.006515711784362793, | |
0.006559743881225586, | |
0.006527999877929688, | |
0.006509568214416504, | |
0.006520832061767578, | |
0.006486015796661377, | |
0.0065669121742248536, | |
0.00652288007736206, | |
0.0065372161865234375, | |
0.006393856048583985, | |
0.006460415840148926, | |
0.00652288007736206, | |
0.006510591983795166, | |
0.006470655918121338, | |
0.006526976108551025, | |
0.00653107213973999, | |
0.006502399921417237, | |
0.0065136637687683106, | |
0.006504447937011719, | |
0.006486015796661377, | |
0.006440959930419922, | |
0.006564864158630371, | |
0.006573056221008301, | |
0.0064880638122558594, | |
0.006532095909118653, | |
0.006479872226715088, | |
0.006474751949310303, | |
0.0064849920272827145, | |
0.006503424167633057, | |
0.006481919765472412, | |
0.0064767999649047855, | |
0.006627327919006347, | |
0.006505472183227539, | |
0.006495232105255127, | |
0.0064778242111206055, | |
0.00652288007736206, | |
0.006459392070770263, | |
0.006519807815551758, | |
0.00653107213973999, | |
0.006494207859039307, | |
0.006529024124145508, | |
0.006458367824554443, | |
0.006500351905822754 | |
] | |
}, | |
"throughput": { | |
"unit": "samples/s", | |
"value": 148.9469892975269 | |
}, | |
"energy": { | |
"unit": "kWh", | |
"cpu": 7.566834542233304e-08, | |
"ram": 4.1366643949189724e-08, | |
"gpu": 1.4480018661146243e-07, | |
"total": 2.618351759829852e-07 | |
}, | |
"efficiency": { | |
"unit": "samples/kWh", | |
"value": 3819196.5470101037 | |
} | |
} | |
} | |
} |