IlyasMoutawwakil's picture
Upload cpu_inference_transformers_text-generation_openai-community/gpt2/benchmark.json with huggingface_hub
31afde9 verified
raw
history blame
8.78 kB
{
"config": {
"name": "cpu_inference_transformers_text-generation_openai-community/gpt2",
"backend": {
"name": "pytorch",
"version": "2.5.1+cpu",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "text-generation",
"library": "transformers",
"model_type": "gpt2",
"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": {},
"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": 2,
"sequence_length": 16,
"num_choices": 2
},
"new_tokens": null,
"memory": true,
"latency": 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": null,
"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-6.5.0-1025-azure-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.15",
"optimum_benchmark_version": "0.5.0.dev0",
"optimum_benchmark_commit": "dcb5f2ebfa5a1d3b392d8db4e17c100e900e10f7",
"transformers_version": "4.46.3",
"transformers_commit": null,
"accelerate_version": "1.1.1",
"accelerate_commit": null,
"diffusers_version": "0.31.0",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.11",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
},
"print_report": true,
"log_report": true
},
"report": {
"load_model": {
"memory": {
"unit": "MB",
"max_ram": 1132.335104,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
1.725400731000036
],
"count": 1,
"total": 1.725400731000036,
"mean": 1.725400731000036,
"p50": 1.725400731000036,
"p90": 1.725400731000036,
"p95": 1.725400731000036,
"p99": 1.725400731000036,
"stdev": 0,
"stdev_": 0
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 0.00019815607244999856,
"ram": 8.282966657554161e-06,
"gpu": 0,
"total": 0.00020643903910755272
},
"efficiency": null
},
"prefill": {
"memory": {
"unit": "MB",
"max_ram": 1016.107008,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
0.11103460900000073,
0.11002119800002674,
0.11457271199998331,
0.10989320000004454,
0.11037127100001953,
0.10607595700003003,
0.10002104400001599
],
"count": 7,
"total": 0.7619899910001209,
"mean": 0.10885571300001727,
"p50": 0.11002119800002674,
"p90": 0.11244985019999376,
"p95": 0.11351128109998854,
"p99": 0.11436042581998436,
"stdev": 0.004275206523252897,
"stdev_": 3.9274066610102665
},
"throughput": {
"unit": "samples/s",
"value": 18.372944743834278
},
"energy": {
"unit": "kWh",
"cpu": 4.005293584444492e-06,
"ram": 1.673886898267235e-07,
"gpu": 0.0,
"total": 4.1726822742712155e-06
},
"efficiency": {
"unit": "samples/kWh",
"value": 479308.00107451563
}
},
"decode": {
"memory": {
"unit": "MB",
"max_ram": 1024.417792,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
0.04661776599999712,
0.0487299469999698,
0.047495572999991964,
0.048822137999991355,
0.048169451999967805,
0.04121001199996499,
0.04216588600002069
],
"count": 7,
"total": 0.3232107739999037,
"mean": 0.04617296771427196,
"p50": 0.047495572999991964,
"p90": 0.04876682339997842,
"p95": 0.04879448069998489,
"p99": 0.048816606539990065,
"stdev": 0.0029320144054634048,
"stdev_": 6.350067042706301
},
"throughput": {
"unit": "tokens/s",
"value": 43.31538774757604
},
"energy": {
"unit": "kWh",
"cpu": 1.6004410488886195e-06,
"ram": 6.688322071027094e-08,
"gpu": 0.0,
"total": 1.6673242695988904e-06
},
"efficiency": {
"unit": "tokens/kWh",
"value": 1199526.7126298964
}
},
"per_token": {
"memory": null,
"latency": {
"unit": "s",
"values": [
0.04544221199995491,
0.04760416599998507,
0.04637427000000116,
0.047691086999975596,
0.04712295799998856,
0.04038317899994581,
0.041264212999976735
],
"count": 7,
"total": 0.31588208499982784,
"mean": 0.04512601214283255,
"p50": 0.04637427000000116,
"p90": 0.04763893439998128,
"p95": 0.04766501069997844,
"p99": 0.04768587173997616,
"stdev": 0.002822732647315213,
"stdev_": 6.255222904210367
},
"throughput": null,
"energy": null,
"efficiency": null
}
}
}