IlyasMoutawwakil's picture
Upload cpu_inference_transformers_text-generation_openai-community/gpt2/benchmark.json with huggingface_hub
3473a47 verified
raw
history blame
10.5 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": 16766.779392,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-6.8.0-1017-azure-x86_64-with-glibc2.39",
"processor": "x86_64",
"python_version": "3.10.15",
"optimum_benchmark_version": "0.5.0.dev0",
"optimum_benchmark_commit": "cd2f6181934acf2424f1183f5fce924d249303d4",
"transformers_version": "4.47.0",
"transformers_commit": null,
"accelerate_version": "1.2.0",
"accelerate_commit": null,
"diffusers_version": "0.31.0",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.12",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
},
"print_report": true,
"log_report": true
},
"report": {
"load_model": {
"memory": {
"unit": "MB",
"max_ram": 1127.395328,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
1.7190139310000063
],
"count": 1,
"total": 1.7190139310000063,
"mean": 1.7190139310000063,
"p50": 1.7190139310000063,
"p90": 1.7190139310000063,
"p95": 1.7190139310000063,
"p99": 1.7190139310000063,
"stdev": 0,
"stdev_": 0
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 0.00019066668036111137,
"ram": 7.97444607513562e-06,
"gpu": 0,
"total": 0.000198641126436247
},
"efficiency": null
},
"prefill": {
"memory": {
"unit": "MB",
"max_ram": 1013.972992,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
0.1448013800000183,
0.14604853100001947,
0.10746430600002554,
0.09936349199998062,
0.098739275000014,
0.0986507700000061,
0.10013696800001526
],
"count": 7,
"total": 0.7952047220000793,
"mean": 0.1136006745714399,
"p50": 0.10013696800001526,
"p90": 0.14530024040001877,
"p95": 0.14567438570001912,
"p99": 0.1459737019400194,
"stdev": 0.020327082678134177,
"stdev_": 17.89345244191408
},
"throughput": {
"unit": "samples/s",
"value": 17.605529258915297
},
"energy": {
"unit": "kWh",
"cpu": 4.166347293888876e-06,
"ram": 1.7420848075177296e-07,
"gpu": 0.0,
"total": 4.340555774640645e-06
},
"efficiency": {
"unit": "samples/kWh",
"value": 460770.48743039824
}
},
"decode": {
"memory": {
"unit": "MB",
"max_ram": 1013.972992,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
0.04626632599999425,
0.04674808699999744,
0.041216456999990214,
0.04131517199999735,
0.041623877999995784,
0.041398265999987416,
0.041643383999996786
],
"count": 7,
"total": 0.30021156999995924,
"mean": 0.04288736714285132,
"p50": 0.041623877999995784,
"p90": 0.04645903039999553,
"p95": 0.04660355869999648,
"p99": 0.04671918133999725,
"stdev": 0.002297438950964294,
"stdev_": 5.356913011964277
},
"throughput": {
"unit": "tokens/s",
"value": 46.63377897128316
},
"energy": {
"unit": "kWh",
"cpu": 1.3423189811111417e-06,
"ram": 5.6139261830103635e-08,
"gpu": 0.0,
"total": 1.3984582429412503e-06
},
"efficiency": {
"unit": "tokens/kWh",
"value": 1430146.3844880927
}
},
"per_token": {
"memory": null,
"latency": {
"unit": "s",
"values": [
0.04577660100000003,
0.04577660100000003,
0.14656051800000114,
0.046280021999990595,
0.04577660100000003,
0.14656051800000114,
0.046280021999990595,
0.10795366100001047,
0.04087220399998159,
0.04577660100000003,
0.14656051800000114,
0.046280021999990595,
0.10795366100001047,
0.04087220399998159,
0.09975174699999911,
0.04096703100000809,
0.04577660100000003,
0.14656051800000114,
0.046280021999990595,
0.10795366100001047,
0.04087220399998159,
0.09975174699999911,
0.04096703100000809,
0.09910659100000885,
0.041258785999986,
0.04577660100000003,
0.14656051800000114,
0.046280021999990595,
0.10795366100001047,
0.04087220399998159,
0.09975174699999911,
0.04096703100000809,
0.09910659100000885,
0.041258785999986,
0.09903540900000962,
0.04103152100000784,
0.04577660100000003,
0.14656051800000114,
0.046280021999990595,
0.10795366100001047,
0.04087220399998159,
0.09975174699999911,
0.04096703100000809,
0.09910659100000885,
0.041258785999986,
0.09903540900000962,
0.04103152100000784,
0.10052451199999268,
0.04129808899998011
],
"count": 49,
"total": 3.627536475999932,
"mean": 0.07403135665305983,
"p50": 0.046280021999990595,
"p90": 0.14656051800000114,
"p95": 0.14656051800000114,
"p99": 0.14656051800000114,
"stdev": 0.03789151822848584,
"stdev_": 51.183066124345736
},
"throughput": null,
"energy": null,
"efficiency": null
}
}
}