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yolov26n_model/x5_quantization/best_bpu_int8.yaml

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YAML

model_parameters:
onnx_model: "./best_bpu.onnx"
march: "bayes-e"
layer_out_dump: false
working_dir: "mapper_output_bpu"
output_model_file_prefix: "best_bpu_bayese_640x640_nv12"
input_parameters:
input_name: "images"
input_type_rt: "nv12"
input_type_train: "rgb"
input_layout_train: "NCHW"
norm_type: "data_scale"
scale_value: 0.003921568627451
calibration_parameters:
cal_data_dir: "./calibration_data"
cal_data_type: "float32"
calibration_type: "default"
optimization: "set_Softmax_input_int8,set_Softmax_output_int8"
compiler_parameters:
jobs: 8
compile_mode: "latency"
debug: true
optimize_level: "O3"