IlyasMoutawwakil
HF staff
Upload cpu_inference_transformers_text-generation_openai-community/gpt2/benchmark.json with huggingface_hub
e76cff5
verified
| { | |
| "config": { | |
| "name": "cpu_inference_transformers_text-generation_openai-community/gpt2", | |
| "backend": { | |
| "name": "pytorch", | |
| "version": "2.3.1+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", | |
| "numactl": false, | |
| "numactl_kwargs": {}, | |
| "start_method": "spawn" | |
| }, | |
| "environment": { | |
| "cpu": " AMD EPYC 7763 64-Core Processor", | |
| "cpu_count": 4, | |
| "cpu_ram_mb": 16757.342208, | |
| "system": "Linux", | |
| "machine": "x86_64", | |
| "platform": "Linux-6.5.0-1023-azure-x86_64-with-glibc2.35", | |
| "processor": "x86_64", | |
| "python_version": "3.10.14", | |
| "optimum_benchmark_version": "0.3.1", | |
| "optimum_benchmark_commit": "bf00581ca84403c7aba5a4a8f646e796f7b72599", | |
| "transformers_version": "4.42.3", | |
| "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": { | |
| "prefill": { | |
| "memory": { | |
| "unit": "MB", | |
| "max_ram": 962.048, | |
| "max_global_vram": null, | |
| "max_process_vram": null, | |
| "max_reserved": null, | |
| "max_allocated": null | |
| }, | |
| "latency": { | |
| "unit": "s", | |
| "count": 14, | |
| "total": 0.6365873449998389, | |
| "mean": 0.045470524642845636, | |
| "stdev": 0.002563014198834841, | |
| "p50": 0.04655033499997785, | |
| "p90": 0.047761842700009535, | |
| "p95": 0.04795784630002231, | |
| "p99": 0.04809651886002371, | |
| "values": [ | |
| 0.04786450900002137, | |
| 0.04751678799999581, | |
| 0.04592823799998769, | |
| 0.048131187000024056, | |
| 0.04752228799998193, | |
| 0.04712417399997548, | |
| 0.04635588599995799, | |
| 0.04626427599998806, | |
| 0.04701781599999322, | |
| 0.04674478399999771, | |
| 0.04172550699996691, | |
| 0.04161751499998445, | |
| 0.04167481100000714, | |
| 0.04109956599995712 | |
| ] | |
| }, | |
| "throughput": { | |
| "unit": "tokens/s", | |
| "value": 43.984537581417186 | |
| }, | |
| "energy": { | |
| "unit": "kWh", | |
| "cpu": 1.606097804175483e-06, | |
| "ram": 6.712110951034447e-08, | |
| "gpu": 0.0, | |
| "total": 1.6732189136858274e-06 | |
| }, | |
| "efficiency": { | |
| "unit": "tokens/kWh", | |
| "value": 1195300.856117104 | |
| } | |
| }, | |
| "decode": { | |
| "memory": { | |
| "unit": "MB", | |
| "max_ram": 962.048, | |
| "max_global_vram": null, | |
| "max_process_vram": null, | |
| "max_reserved": null, | |
| "max_allocated": null | |
| }, | |
| "latency": { | |
| "unit": "s", | |
| "count": 14, | |
| "total": 0.3936966590001134, | |
| "mean": 0.02812118992857953, | |
| "stdev": 0.0017452619961330588, | |
| "p50": 0.02884964049997052, | |
| "p90": 0.029497711600026833, | |
| "p95": 0.029891198600029156, | |
| "p99": 0.03047370052002293, | |
| "values": [ | |
| 0.029069496999966304, | |
| 0.029189061000010952, | |
| 0.029499130000033347, | |
| 0.028629783999974734, | |
| 0.029494402000011632, | |
| 0.030619326000021374, | |
| 0.029092160000004696, | |
| 0.028553692000002684, | |
| 0.02924239000003581, | |
| 0.028308092999964174, | |
| 0.025472690000015064, | |
| 0.025248892000035994, | |
| 0.025246077000019795, | |
| 0.02603146500001685 | |
| ] | |
| }, | |
| "throughput": { | |
| "unit": "tokens/s", | |
| "value": 35.56037289103834 | |
| }, | |
| "energy": { | |
| "unit": "kWh", | |
| "cpu": 9.982922695301194e-07, | |
| "ram": 4.171832787837956e-08, | |
| "gpu": 0.0, | |
| "total": 1.0400105974085e-06 | |
| }, | |
| "efficiency": { | |
| "unit": "tokens/kWh", | |
| "value": 961528.6637384287 | |
| } | |
| }, | |
| "per_token": { | |
| "memory": null, | |
| "latency": { | |
| "unit": "s", | |
| "count": 14, | |
| "total": 0.3872701830000551, | |
| "mean": 0.027662155928575367, | |
| "stdev": 0.0016662209608155868, | |
| "p50": 0.028340829499995834, | |
| "p90": 0.028956401000027655, | |
| "p95": 0.029356640250017562, | |
| "p99": 0.029941970450014423, | |
| "values": [ | |
| 0.028581664999990153, | |
| 0.028696420000017042, | |
| 0.02894177800004627, | |
| 0.028118377999987842, | |
| 0.028962668000019676, | |
| 0.03008830300001364, | |
| 0.028563281000003826, | |
| 0.028057924999984607, | |
| 0.02875592000003735, | |
| 0.02783537899995281, | |
| 0.025136701999997513, | |
| 0.024909067000010054, | |
| 0.024908354999979565, | |
| 0.025714342000014767 | |
| ] | |
| }, | |
| "throughput": { | |
| "unit": "tokens/s", | |
| "value": 36.150472240198276 | |
| }, | |
| "energy": null, | |
| "efficiency": null | |
| } | |
| } | |
| } |