IlyasMoutawwakil's picture
Upload cpu_inference_transformers_text-generation_openai-community/gpt2/benchmark.json with huggingface_hub
c25da1d verified
raw
history blame
8.49 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
},
"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": "a0fa44f89e357c39216a81807cac957ae2b66da0",
"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": {
"memory": {
"unit": "MB",
"max_ram": 1127.972864,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
1.718475059999946
],
"count": 1,
"total": 1.718475059999946,
"mean": 1.718475059999946,
"p50": 1.718475059999946,
"p90": 1.718475059999946,
"p95": 1.718475059999946,
"p99": 1.718475059999946,
"stdev": 0,
"stdev_": 0
},
"throughput": null,
"energy": null,
"efficiency": null
},
"prefill": {
"memory": {
"unit": "MB",
"max_ram": 1010.487296,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
0.11378130399998554,
0.11429892199998903,
0.11450845299998491,
0.12023620400003665,
0.11574349299996811,
0.1180853010000078
],
"count": 6,
"total": 0.696653676999972,
"mean": 0.11610894616666201,
"p50": 0.11512597299997651,
"p90": 0.11916075250002223,
"p95": 0.11969847825002944,
"p99": 0.12012865885003521,
"stdev": 0.002321259556939538,
"stdev_": 1.999208186428303
},
"throughput": {
"unit": "tokens/s",
"value": 275.6032248718149
},
"energy": {
"unit": "kWh",
"cpu": 4.22077407111118e-06,
"ram": 1.763944485107796e-07,
"gpu": 0.0,
"total": 4.39716851962196e-06
},
"efficiency": {
"unit": "tokens/kWh",
"value": 7277410.419273891
}
},
"decode": {
"memory": {
"unit": "MB",
"max_ram": 1018.568704,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
0.05033313500001668,
0.052910605000022315,
0.053576159999977335,
0.05290791900000613,
0.0526585329999989,
0.047858378999990236
],
"count": 6,
"total": 0.3102447310000116,
"mean": 0.0517074551666686,
"p50": 0.052783226000002514,
"p90": 0.053243382499999825,
"p95": 0.05340977124998858,
"p99": 0.053542882249979586,
"stdev": 0.0019995596595705663,
"stdev_": 3.8670625988561746
},
"throughput": {
"unit": "tokens/s",
"value": 38.67914198355733
},
"energy": {
"unit": "kWh",
"cpu": 1.709584351111208e-06,
"ram": 7.144870619962919e-08,
"gpu": 0.0,
"total": 1.7810330573108377e-06
},
"efficiency": {
"unit": "tokens/kWh",
"value": 1122943.7835476103
}
},
"per_token": {
"memory": null,
"latency": {
"unit": "s",
"values": [
0.04914417200001253,
0.05163774499999363,
0.05229480399998465,
0.05168312899996863,
0.05131125399998382,
0.04667390399998794
],
"count": 6,
"total": 0.3027450079999312,
"mean": 0.050457501333321865,
"p50": 0.051474499499988724,
"p90": 0.05198896649997664,
"p95": 0.052141885249980646,
"p99": 0.05226422024998385,
"stdev": 0.0019595984160566205,
"stdev_": 3.8836612283107885
},
"throughput": {
"unit": "tokens/s",
"value": 39.63731748799877
},
"energy": null,
"efficiency": null
}
}
}