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olive_config.json
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olive_config.json
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{
"passes": {
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},
"DynamicToFixedShape": {
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},
"ExtractAdapters": {
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},
"ModelBuilder": {
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},
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},
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},
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},
"MoEExpertsDistributor": {
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},
"OnnxBnb4Quantization": {
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},
"OnnxConversion": {
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},
"OnnxDynamicQuantization": {
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},
"OnnxFloatToFloat16": {
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},
"OnnxIOFloat16ToFloat32": {
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},
"OnnxMatMul4Quantizer": {
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},
"OnnxPeepholeOptimizer": {
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},
"OnnxOpVersionConversion": {
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},
"OnnxQuantization": {
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"supported_providers": [ "CPUExecutionProvider" ],
"supported_accelerators": [ "cpu" ],
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},
"OnnxStaticQuantization": {
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"supported_providers": [ "CPUExecutionProvider" ],
"supported_accelerators": [ "cpu" ],
"supported_precisions": [ "int8", "int16", "uint8", "uint16" ]
},
"OptimumConversion": {
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"extra_dependencies": [ "optimum" ]
},
"OptimumMerging": {
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"extra_dependencies": [ "optimum" ]
},
"OrtMixedPrecision": {
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"supported_providers": [ "CUDAExecutionProvider", "DmlExecutionProvider" ],
"supported_accelerators": [ "gpu", "npu" ],
"supported_precisions": [ "fp16" ]
},
"OrtSessionParamsTuning": {
"module_path": "olive.passes.onnx.session_params_tuning.OrtSessionParamsTuning",
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"module_dependencies": [ "psutil" ]
},
"OrtTransformersOptimization": {
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"supported_accelerators": [ "*" ],
"supported_precisions": [ "*" ]
},
"QNNPreprocess": {
"module_path": "olive.passes.onnx.qnn.qnn_preprocess.QNNPreprocess",
"supported_providers": [ "QNNExecutionProvider" ],
"supported_accelerators": [ "npu" ],
"supported_precisions": [ "*" ]
},
"VitisAIQuantization": {
"module_path": "olive.passes.onnx.vitis_ai_quantization.VitisAIQuantization",
"supported_providers": [ "VitisAIExecutionProvider" ],
"supported_accelerators": [ "npu" ],
"supported_precisions": [ "int8" ]
},
"VitisQDQQuantizer": {
"module_path": "olive.passes.onnx.vitis_ai.quantizer.VitisQDQQuantizer",
"supported_providers": [ "VitisAIExecutionProvider" ],
"supported_accelerators": [ "npu" ],
"supported_precisions": [ "int8" ]
},
"VitisQOpQuantizer": {
"module_path": "olive.passes.onnx.vitis_ai.quantizer.VitisQOpQuantizer",
"supported_providers": [ "VitisAIExecutionProvider" ],
"supported_accelerators": [ "npu" ],
"supported_precisions": [ "int8" ]
},
"PowerOfTwoMethod": {
"module_path": "olive.passes.onnx.vitis_ai.quant_utils.PowerOfTwoMethod",
"supported_providers": [ "*" ],
"supported_accelerators": [ "*" ],
"supported_precisions": [ "*" ]
},
"SplitModel": {
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"supported_providers": [ "*" ],
"supported_accelerators": [ "*" ],
"supported_precisions": [ "*" ]
},
"OpenVINOConversion": {
"module_path": "olive.passes.openvino.conversion.OpenVINOConversion",
"supported_providers": [ "OpenVINOExecutionProvider" ],
"supported_accelerators": [ "cpu", "gpu", "npu" ],
"supported_precisions": [ "*" ],
"extra_dependencies": [ "openvino" ]
},
"OpenVINOQuantization": {
"module_path": "olive.passes.openvino.quantization.OpenVINOQuantization",
"supported_providers": [ "OpenVINOExecutionProvider" ],
"supported_accelerators": [ "cpu", "gpu", "npu" ],
"supported_precisions": [ "*" ],
"extra_dependencies": [ "openvino" ]
},
"AutoAWQQuantizer": {
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"supported_providers": [ "CPUExecutionProvider" ],
"supported_accelerators": [ "cpu" ],
"supported_precisions": [ "int4", "int8", "int16", "uint4", "uint8", "uint16" ],
"module_dependencies": [ "autoawq" ]
},
"GptqQuantizer": {
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"supported_providers": [ "CPUExecutionProvider" ],
"supported_accelerators": [ "cpu" ],
"supported_precisions": [ "int4", "int8", "int16", "uint4", "uint8", "uint16" ],
"module_dependencies": [ "auto-gptq", "optimum" ]
},
"CaptureSplitInfo": {
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"supported_accelerators": [ "*" ],
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},
"MergeAdapterWeights": {
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"supported_accelerators": [ "*" ],
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},
"LoftQ": {
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},
"LoRA": {
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"extra_dependencies": [ "lora" ]
},
"PyTorchTensorParallel": {
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"supported_providers": [ "*" ],
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},
"QLoRA": {
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"extra_dependencies": [ "bnb", "lora" ]
},
"QuantizationAwareTraining": {
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"module_dependencies": [ "pytorch-lightning" ]
},
"SparseGPT": {
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},
"SliceGPT": {
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"supported_accelerators": [ "*" ],
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},
"QuaRot": {
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"supported_precisions": [ "int4", "int8", "int16", "uint4", "uint8", "uint16" ],
"extra_dependencies": [ "flash-attn" ]
},
"TorchTRTConversion": {
"module_path": "olive.passes.pytorch.torch_trt_conversion.TorchTRTConversion",
"supported_providers": [ "*" ],
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"supported_precisions": [ "*" ],
"extra_dependencies": [ "torch-tensorrt" ]
},
"QNNConversion": {
"module_path": "olive.passes.qnn.conversion.QNNConversion",
"supported_providers": [ "*" ],
"supported_accelerators": [ "*" ],
"supported_precisions": [ "*" ]
},
"QNNModelLibGenerator": {
"module_path": "olive.passes.qnn.model_lib_generator.QNNModelLibGenerator",
"supported_providers": [ "*" ],
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},
"QNNContextBinaryGenerator": {
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"supported_providers": [ "*" ],
"supported_accelerators": [ "*" ],
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},
"SNPEConversion": {
"module_path": "olive.passes.snpe.conversion.SNPEConversion",
"supported_providers": [ "*" ],
"supported_accelerators": [ "*" ],
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},
"SNPEQuantization": {
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},
"SNPEtoONNXConversion": {
"module_path": "olive.passes.snpe.snpe_to_onnx.SNPEtoONNXConversion",
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},
"NVModelOptQuantization": {
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"supported_providers": [ "CUDAExecutionProvider" ],
"supported_accelerators": [ "gpu" ],
"supported_precisions": [ "int4", "int8", "fp8" ],
"extra_dependencies": [ "nvmo" ]
}
},
"extra_dependencies": {
"auto-opt": [ "optimum" ],
"azureml": [ "azure-ai-ml>=1.11.1", "azure-keyvault-secrets", "azure-identity", "azureml-fsspec" ],
"bnb": [ "bitsandbytes" ],
"capture-onnx-graph": [ "onnxruntime-genai", "optimum" ],
"cpu": [ "onnxruntime" ],
"directml": [ "onnxruntime-directml" ],
"docker": [ "docker" ],
"shared-cache": [ "azure-identity", "azure-storage-blob" ],
"finetune": [ "onnxruntime-genai", "optimum", "accelerate>=0.30.0", "peft", "scipy", "bitsandbytes" ],
"flash-attn": [ "flash_attn" ],
"gpu": [ "onnxruntime-gpu" ],
"inc": [ "neural-compressor" ],
"lora": [ "accelerate>=0.30.0", "peft", "scipy" ],
"nvmo": [ "nvidia-modelopt", "onnx-graphsurgeon", "datasets>=2.14.4", "cppimport==22.8.2" ],
"openvino": [ "openvino==2023.2.0", "nncf==2.7.0", "numpy<2.0" ],
"optimum": [ "optimum" ],
"ort-genai": [ "onnxruntime-genai" ],
"ort": [ "onnxruntime", "onnxruntime-directml", "onnxruntime-gpu", "onnxruntime-openvino", "numpy<2.0" ],
"tf": [ "tensorflow==1.15.0" ],
"torch-tensorrt": [ "torch-tensorrt" ],
"tune-session-params": [ "psutil" ]
}
}