IlyasMoutawwakil's picture
Upload cpu_inference_transformers_text-generation_openai-community/gpt2/benchmark.json with huggingface_hub
78b4369 verified
raw
history blame
8.62 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": "30d59f77b3a4baa0f318abd9cdf0d949062137ca",
"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": 1139.523584,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
1.7314716399999952
],
"count": 1,
"total": 1.7314716399999952,
"mean": 1.7314716399999952,
"p50": 1.7314716399999952,
"p90": 1.7314716399999952,
"p95": 1.7314716399999952,
"p99": 1.7314716399999952,
"stdev": 0,
"stdev_": 0
},
"throughput": null,
"energy": null,
"efficiency": null
},
"prefill": {
"memory": {
"unit": "MB",
"max_ram": 1026.29376,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
0.10497549600000866,
0.10531619500000033,
0.10812076100000922,
0.10596555500001159,
0.10530701799999065,
0.10334926199999472,
0.09877722900000663
],
"count": 7,
"total": 0.7318115160000218,
"mean": 0.1045445022857174,
"p50": 0.10530701799999065,
"p90": 0.10682763740001064,
"p95": 0.10747419920000993,
"p99": 0.10799144864000937,
"stdev": 0.0026955453501389033,
"stdev_": 2.5783712114980926
},
"throughput": {
"unit": "tokens/s",
"value": 306.0897445620319
},
"energy": {
"unit": "kWh",
"cpu": 3.917944212777782e-06,
"ram": 1.637375273390398e-07,
"gpu": 0.0,
"total": 4.081681740116822e-06
},
"efficiency": {
"unit": "tokens/kWh",
"value": 7839905.714717515
}
},
"decode": {
"memory": {
"unit": "MB",
"max_ram": 1026.371584,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
0.04224208100001192,
0.045039424000009376,
0.0427991579999798,
0.04220509199998901,
0.04259433300001092,
0.041592571999984784,
0.04100522799998885
],
"count": 7,
"total": 0.29747788799997466,
"mean": 0.04249684114285352,
"p50": 0.04224208100001192,
"p90": 0.04369526439999163,
"p95": 0.0443673442000005,
"p99": 0.0449050080400076,
"stdev": 0.0011806935294424918,
"stdev_": 2.7783089229469544
},
"throughput": {
"unit": "tokens/s",
"value": 47.062321485895424
},
"energy": {
"unit": "kWh",
"cpu": 1.5316857587500277e-06,
"ram": 6.402364059602202e-08,
"gpu": 0.0,
"total": 1.59570939934605e-06
},
"efficiency": {
"unit": "tokens/kWh",
"value": 1253361.0448240987
}
},
"per_token": {
"memory": null,
"latency": {
"unit": "s",
"values": [
0.041837331000010636,
0.04455237900000952,
0.042385260999992624,
0.04179825800000003,
0.042201064000011,
0.04123598300000708,
0.04065107399998169
],
"count": 7,
"total": 0.2946613500000126,
"mean": 0.04209447857143037,
"p50": 0.041837331000010636,
"p90": 0.04325210819999938,
"p95": 0.04390224360000445,
"p99": 0.044422351920008506,
"stdev": 0.0011408951557322867,
"stdev_": 2.7103201998245328
},
"throughput": {
"unit": "tokens/s",
"value": 47.51216947862148
},
"energy": null,
"efficiency": null
}
}
}