| { |
| "model_type": "ONNX", |
| "npu_mode": "NPU3", |
| "input_shapes": "input:1x3x256x192", |
| "quant": { |
| "input_configs": [ |
| { |
| "tensor_name": "DEFAULT", |
| "calibration_dataset": "./rtmpose_cali.tar", |
| "calibration_size": 100, |
| "calibration_mean": [ |
| 123.675, |
| 116.28, |
| 103.53 |
| ], |
| "calibration_std": [ |
| 58.395, |
| 57.12, |
| 57.375 |
| ] |
| } |
| ], |
| "calibration_method": "MSE", |
| "layer_configs": [ |
| { |
| "layer_names": [ |
| "Conv_0", |
| "Conv_3", |
| "Conv_6", |
| "Conv_9", |
| "Conv_12", |
| "Conv_15", |
| "Conv_18", |
| "Conv_21", |
| "Conv_24", |
| "Conv_28", |
| "Conv_31", |
| "Conv_34", |
| "Conv_46", |
| "Conv_55", |
| "Conv_58", |
| "Conv_65", |
| "Conv_68", |
| "Conv_75", |
| "Conv_78", |
| "Conv_85", |
| "Conv_88", |
| "Conv_103", |
| "Conv_112", |
| "Conv_115", |
| "Conv_122", |
| "Conv_125", |
| "Conv_132", |
| "Conv_135", |
| "Conv_142", |
| "Conv_145", |
| "Conv_160", |
| "Conv_179", |
| "Conv_182", |
| "Conv_188", |
| "Conv_191", |
| "Conv_205", |
| "Conv_40", |
| "Conv_43", |
| "Conv_49", |
| "Conv_52", |
| "Conv_71", |
| "Conv_81", |
| "Conv_91", |
| "Conv_97", |
| "Conv_100", |
| "Conv_106", |
| "Conv_109", |
| "Conv_118", |
| "Conv_128", |
| "Conv_138", |
| "Conv_148", |
| "Conv_154", |
| "Conv_157", |
| "Conv_163", |
| "Conv_170", |
| "Conv_173", |
| "Conv_176", |
| "Conv_185", |
| "Conv_194", |
| "Conv_199", |
| "Conv_202", |
| "GlobalAveragePool_39", |
| "GlobalAveragePool_153", |
| "GlobalAveragePool_198", |
| "Concat_152", |
| "Concat_169", |
| "op_1:onnx.Silu", |
| "op_2:onnx.Silu", |
| "op_5:onnx.Silu", |
| "op_6:onnx.Silu", |
| "op_7:onnx.Silu", |
| "op_8:onnx.Silu", |
| "op_9:onnx.Silu", |
| "op_10:onnx.Silu", |
| "op_11:onnx.Silu", |
| "op_12:onnx.Silu", |
| "op_13:onnx.Silu", |
| "op_15:onnx.Silu", |
| "op_16:onnx.Silu", |
| "op_17:onnx.Silu", |
| "op_18:onnx.Silu", |
| "op_19:onnx.Silu", |
| "op_20:onnx.Silu", |
| "op_21:onnx.Silu", |
| "op_23:onnx.Silu", |
| "op_25:onnx.Silu", |
| "op_26:onnx.Silu", |
| "op_27:onnx.Silu", |
| "op_29:onnx.Silu", |
| "op_30:onnx.Silu", |
| "op_34:onnx.Silu", |
| "op_49:onnx.Silu", |
| "op_50:onnx.Silu", |
| "op_52:onnx.Silu", |
| "op_54:onnx.Silu", |
| "op_56:onnx.Silu", |
| "op_57:onnx.Silu", |
| "op_58:onnx.Silu", |
| "Add_64", |
| "Add_74", |
| "Add_84", |
| "Add_94", |
| "Add_121", |
| "Add_131", |
| "Add_141", |
| "Add_151", |
| "MaxPool_166", |
| "MaxPool_167", |
| "MaxPool_168", |
| "Reshape_212", |
| "Split_233", |
| "Unsqueeze_234", |
| "Split_237", |
| "Squeeze_238", |
| "Squeeze_239", |
| "Transpose_240" |
| ], |
| "data_type": "U16" |
| }, |
| { |
| "layer_names": [ |
| "Conv_61", |
| "op_32:onnx.Silu", |
| "op_43:onnx.Silu", |
| "op_53:onnx.Silu", |
| "op_4:onnx.Silu", |
| "op_14:onnx.Silu", |
| "op_22:onnx.Silu", |
| "op_33:onnx.Silu", |
| "op_35:onnx.Silu", |
| "op_37:onnx.Silu", |
| "op_38:onnx.Silu", |
| "op_39:onnx.Silu", |
| "op_40:onnx.Silu", |
| "hs_replace_1_Mul", |
| "hs_replace_1_Add", |
| "hs_replace_1_Clip", |
| "Mul_42", |
| "Concat_95", |
| "GlobalAveragePool_96", |
| "hs_replace_2_Mul", |
| "hs_replace_2_Add", |
| "hs_replace_2_Clip", |
| "Mul_99", |
| "hs_replace_3_Mul", |
| "hs_replace_3_Add", |
| "hs_replace_3_Clip", |
| "Mul_156", |
| "hs_replace_4_Mul", |
| "hs_replace_4_Add", |
| "hs_replace_4_Clip", |
| "Mul_201", |
| "op_66:onnx.RMSNormalization", |
| "op_61:onnx.FullyConnected", |
| "Mul_249", |
| "op_67:onnx.RMSNormalization", |
| "op_62:onnx.FullyConnected", |
| "op_36:onnx.Silu", |
| "Mul_235", |
| "Add_236", |
| "MatMul_241", |
| "op_68:onnx.Mul", |
| "Relu_244", |
| "Mul_245", |
| "MatMul_246", |
| "Mul_247", |
| "op_63:onnx.FullyConnected", |
| "Add_250", |
| "op_64:onnx.FullyConnected", |
| "op_65:onnx.FullyConnected", |
| "op_48:onnx.Silu", |
| "op_41:onnx.Silu", |
| "op_42:onnx.Silu", |
| "op_44:onnx.Silu", |
| "op_45:onnx.Silu", |
| "op_46:onnx.Silu", |
| "op_47:onnx.Silu", |
| "Add_27", |
| "Add_37", |
| "op_24:onnx.Silu", |
| "Concat_38", |
| "op_28:onnx.Silu", |
| "Concat_197", |
| "op_3:onnx.Silu", |
| "op_55:onnx.Silu", |
| "op_31:onnx.Silu", |
| "op_51:onnx.Silu" |
| ], |
| "data_type": "FP32", |
| "weight_data_type": "FP32", |
| "output_data_type": "FP32" |
| } |
| ], |
| "precision_analysis": true, |
| "precision_analysis_method": "EndToEnd" |
| }, |
| "input_processors": [ |
| { |
| "tensor_name": "DEFAULT", |
| "tensor_format": "RGB", |
| "src_format": "BGR", |
| "src_dtype": "U8", |
| "src_layout": "NHWC" |
| } |
| ], |
| "compiler": { |
| "check": 0 |
| } |
| } |
