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resnet_ptq_cpu.json
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{
"input_model":{
"type": "PyTorchModel",
"config": {
"model_path": "models/resnet_trained_for_cifar10.pt",
"io_config": {
"input_names": ["input"],
"input_shapes": [[1, 3, 32, 32]],
"output_names": ["output"],
"dynamic_axes": {
"input": {"0": "batch_size"},
"output": {"0": "batch_size"}
}
}
}
},
"evaluators": {
"common_evaluator":{
"metrics":[
{
"name": "accuracy",
"type": "custom",
"sub_types": [
{
"name": "accuracy_custom",
"priority": 1, "higher_is_better": true,
"goal": {"type": "max-degradation", "value": 0.01}
}
],
"user_config":{
"user_script": "user_script.py",
"data_dir": "data",
"evaluate_func": "eval_accuracy",
"batch_size": 16
}
},
{
"name": "latency",
"type": "latency",
"sub_types": [
{
"name": "avg",
"priority": 2,
"goal": {"type": "percent-min-improvement", "value": 20}
}
],
"user_config":{
"user_script": "user_script.py",
"data_dir": "data",
"dataloader_func": "create_dataloader",
"batch_size": 16
}
}
]
}
},
"passes": {
"onnx_conversion": {
"type": "OnnxConversion",
"config": {
"target_opset": 13
}
},
"onnx_quantization": {
"type": "OnnxQuantization",
"config": {
"user_script": "user_script.py",
"data_dir": "data",
"dataloader_func": "resnet_calibration_reader",
"weight_type": "QUInt8",
"activation_type": "QUInt8",
"quant_preprocess": true
}
},
"perf_tuning": {
"type": "OrtPerfTuning",
"config": {
"user_script": "user_script.py",
"dataloader_func": "create_dataloader",
"batch_size": 16,
"data_dir": "data"
}
}
},
"engine": {
"search_strategy": {
"execution_order": "joint",
"search_algorithm": "exhaustive"
},
"evaluator": "common_evaluator",
"execution_providers": ["CPUExecutionProvider"],
"cache_dir": "cache",
"output_dir": "models/resnet_ptq_cpu"
}
}