IlyasMoutawwakil
HF staff
Upload cpu_inference_transformers_text-generation_openai-community/gpt2/benchmark.json with huggingface_hub
026f257
verified
| { | |
| "config": { | |
| "name": "cpu_inference_transformers_text-generation_openai-community/gpt2", | |
| "backend": { | |
| "name": "pytorch", | |
| "version": "2.3.0+cpu", | |
| "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend", | |
| "task": "text-generation", | |
| "library": "transformers", | |
| "model": "openai-community/gpt2", | |
| "processor": "openai-community/gpt2", | |
| "device": "cpu", | |
| "device_ids": null, | |
| "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": false, | |
| "device_isolation_action": "error", | |
| "start_method": "spawn" | |
| }, | |
| "environment": { | |
| "cpu": " AMD EPYC 7763 64-Core Processor", | |
| "cpu_count": 4, | |
| "cpu_ram_mb": 16757.346304, | |
| "system": "Linux", | |
| "machine": "x86_64", | |
| "platform": "Linux-6.5.0-1021-azure-x86_64-with-glibc2.35", | |
| "processor": "x86_64", | |
| "python_version": "3.10.14", | |
| "optimum_benchmark_version": "0.2.0", | |
| "optimum_benchmark_commit": "77e62a3eef699bce70248c56d35c703369938b85", | |
| "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": { | |
| "prefill": { | |
| "memory": { | |
| "unit": "MB", | |
| "max_ram": 955.932672, | |
| "max_global_vram": null, | |
| "max_process_vram": null, | |
| "max_reserved": null, | |
| "max_allocated": null | |
| }, | |
| "latency": { | |
| "unit": "s", | |
| "count": 13, | |
| "total": 0.6447852839999939, | |
| "mean": 0.04959886799999953, | |
| "stdev": 0.0023060367797334298, | |
| "p50": 0.05031191700001614, | |
| "p90": 0.0515503924000086, | |
| "p95": 0.05193769340000926, | |
| "p99": 0.05232336908000889, | |
| "values": [ | |
| 0.05120103699999845, | |
| 0.05241978800000879, | |
| 0.05031191700001614, | |
| 0.0512867740000047, | |
| 0.05060635399999569, | |
| 0.04948061599998255, | |
| 0.04911590899999396, | |
| 0.04940139800001475, | |
| 0.05043698899999072, | |
| 0.04962640699997678, | |
| 0.05161629700000958, | |
| 0.044718613000014784, | |
| 0.044563184999987016 | |
| ] | |
| }, | |
| "throughput": { | |
| "unit": "tokens/s", | |
| "value": 40.32350093151358 | |
| }, | |
| "energy": { | |
| "unit": "kWh", | |
| "cpu": 1.7728900668596984e-06, | |
| "ram": 7.409080954627539e-08, | |
| "gpu": 0.0, | |
| "total": 1.8469808764059735e-06 | |
| }, | |
| "efficiency": { | |
| "unit": "tokens/kWh", | |
| "value": 1082848.2446942197 | |
| } | |
| }, | |
| "decode": { | |
| "memory": { | |
| "unit": "MB", | |
| "max_ram": 955.932672, | |
| "max_global_vram": null, | |
| "max_process_vram": null, | |
| "max_reserved": null, | |
| "max_allocated": null | |
| }, | |
| "latency": { | |
| "unit": "s", | |
| "count": 13, | |
| "total": 0.40089242200005515, | |
| "mean": 0.030837878615388857, | |
| "stdev": 0.001730690383259156, | |
| "p50": 0.031182327000010446, | |
| "p90": 0.032513429600010114, | |
| "p95": 0.032709844200007866, | |
| "p99": 0.032861763240002805, | |
| "values": [ | |
| 0.03223416800000223, | |
| 0.032583245000012084, | |
| 0.032899743000001536, | |
| 0.03214335900000265, | |
| 0.0310044370000071, | |
| 0.0312940430000026, | |
| 0.031182327000010446, | |
| 0.03209933799999476, | |
| 0.03086203300000534, | |
| 0.03064155300000948, | |
| 0.028993237000008776, | |
| 0.02739090399998645, | |
| 0.0275640350000117 | |
| ] | |
| }, | |
| "throughput": { | |
| "unit": "tokens/s", | |
| "value": 32.42765212458472 | |
| }, | |
| "energy": { | |
| "unit": "kWh", | |
| "cpu": 1.0994034584122476e-06, | |
| "ram": 4.594782642322249e-08, | |
| "gpu": 0.0, | |
| "total": 1.1453512848354705e-06 | |
| }, | |
| "efficiency": { | |
| "unit": "tokens/kWh", | |
| "value": 873094.5808854179 | |
| } | |
| }, | |
| "per_token": { | |
| "memory": null, | |
| "latency": { | |
| "unit": "s", | |
| "count": 12, | |
| "total": 0.9626528439999902, | |
| "mean": 0.08022107033333252, | |
| "stdev": 0.0038544450784341582, | |
| "p50": 0.08107095449999235, | |
| "p90": 0.08343117430000006, | |
| "p95": 0.0841802451000035, | |
| "p99": 0.08488168342000563, | |
| "values": [ | |
| 0.08505704300000616, | |
| 0.0831459579999887, | |
| 0.08346286500000133, | |
| 0.08166317800001366, | |
| 0.08076521199998865, | |
| 0.08030879500000765, | |
| 0.0815365130000032, | |
| 0.08134447699998759, | |
| 0.0802612070000066, | |
| 0.08079743199999712, | |
| 0.07214805899999988, | |
| 0.07216210499998965 | |
| ] | |
| }, | |
| "throughput": { | |
| "unit": "tokens/s", | |
| "value": 12.465552950675251 | |
| }, | |
| "energy": null, | |
| "efficiency": null | |
| } | |
| } | |
| } |