olive-recipes/intel-bert-base-uncased-mrpc/oci/gpu/cuda/inc_quant.json at main · microsoft/olive-recipes · GitHub

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{
    "input_model": { "type": "HfModel", "model_path": "Intel/bert-base-uncased-mrpc", "task": "text-classification" },
    "systems": {
        "local_system": {
            "type": "LocalSystem",
            "accelerators": [ { "execution_providers": [ "CUDAExecutionProvider" ] } ]
        }
    },
    "data_configs": [
        {
            "name": "glue_mrpc",
            "type": "HuggingfaceContainer",
            "load_dataset_config": { "data_name": "glue", "split": "validation", "subset": "mrpc" },
            "pre_process_data_config": { "input_cols": [ "sentence1", "sentence2" ] },
            "dataloader_config": { "batch_size": 1 }
        }
    ],
    "evaluators": {
        "common_evaluator": {
            "metrics": [
                {
                    "name": "accuracy",
                    "type": "accuracy",
                    "sub_types": [
                        {
                            "name": "accuracy_score",
                            "priority": 1,
                            "goal": { "type": "max-degradation", "value": 0.01 }
                        },
                        { "name": "f1_score" },
                        { "name": "auroc" }
                    ],
                    "data_config": "glue_mrpc"
                },
                {
                    "name": "latency",
                    "type": "latency",
                    "sub_types": [
                        { "name": "avg", "priority": 2, "goal": { "type": "percent-min-improvement", "value": 20 } },
                        { "name": "max" },
                        { "name": "min" }
                    ],
                    "data_config": "glue_mrpc",
                    "user_config": { "io_bind": true }
                }
            ]
        }
    },
    "passes": {
        "conversion": { "type": "OnnxConversion" },
        "transformers_optimization": {
            "type": "IncStaticQuantization",
            "device": "gpu",
            "approach": "weight_only",
            "weight_only_config": {
                "bits": 4,
                "algorithm": "gptq"
            },
            "data_config":"glue_mrpc"
        }
    },
    "search_strategy": { "execution_order": "joint", "sampler": "tpe", "max_samples": 3, "seed": 0 },
    "host": "local_system",
    "target": "local_system",
    "evaluator": "common_evaluator",
    "cache_dir": "cache",
    "output_dir": "models/bert_cuda"
}