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AXERA-TECH
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centerpoint

Object Detection
ONNX
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ONNX
Axera
NPU
Pulsar2
CenterPoint
3D-Object-Detection
LiDAR
Model card Files
xet
Community
fangmingguo commited on
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Upload config.json

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config.json ADDED
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+ {
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+ "input": "/data/huichiwen/dev/cp/onnx_model/pointpillars.onnx",
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+ "output_dir": "./output",
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+ "output_name": "centerpoint.axmodel",
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+ "model_type": "ONNX",
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+ "target_hardware": "AX650",
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+ "npu_mode": "NPU3",
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+
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+ "input_shapes": "input.1:1x10x30000x20;indices_input:1x30000x2",
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+
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+ "quant": {
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+ "input_configs": [
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+ {
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+ "tensor_name": "input.1",
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+ "calibration_dataset": "/data/huichiwen/dev/cp/quant_data/features.tar.gz",
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+ "calibration_format": "Numpy",
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+ "calibration_size": 32
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+ },
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+ {
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+ "tensor_name": "indices_input",
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+ "calibration_dataset": "/data/huichiwen/dev/cp/quant_data/indices.tar.gz",
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+ "calibration_format": "Numpy",
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+ "calibration_size": 32
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+ }
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+ ],
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+ "calibration_method": "MinMax",
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+ "enable_smooth_quant": false,
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+ "smooth_quant_strength": 0.5,
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+ "layer_configs": [
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+ {
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+ "layer_names": [
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+ "pfe_/pfn_layers.0/linear/MatMul",
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+ "pfe_/pfn_layers.0/norm/BatchNormalization",
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+ "pfe_/pfn_layers.0/Relu",
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+ "pfe_/pfn_layers.0/ReduceMax",
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+ // "pfe_/pfn_layers.0/Tile",
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+ // "pfe_/pfn_layers.0/Concat",
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+ "pfe_/pfn_layers.1/linear/MatMul",
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+ "pfe_/pfn_layers.1/norm/BatchNormalization",
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+ "pfe_/pfn_layers.1/Relu",
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+ "pfe_/pfn_layers.1/ReduceMax",
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+ "ScatterND_1"
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+
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+ ],
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+ "data_type": "FP32",
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+ "output_data_type": "FP32"
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+ },
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+ {
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+ "layer_names": [
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+ "/neck/blocks.0/blocks.0.1/Conv",
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+ "/neck/blocks.0/blocks.0.3/Relu",
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+ "/neck/blocks.0/blocks.0.4/Conv",
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+ "/neck/blocks.0/blocks.0.6/Relu",
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+ "/neck/blocks.0/blocks.0.7/Conv",
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+ "/neck/blocks.0/blocks.0.9/Relu",
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+ "/neck/blocks.0/blocks.0.10/Conv",
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+ "/neck/blocks.0/blocks.0.12/Relu",
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+ "/neck/deblocks.0/deblocks.0.0/Conv",
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+ "/neck/blocks.1/blocks.1.1/Conv",
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+ "/neck/deblocks.0/deblocks.0.2/Relu",
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+ "/neck/blocks.1/blocks.1.3/Relu",
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+ "/neck/blocks.1/blocks.1.4/Conv",
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+ "/neck/blocks.1/blocks.1.6/Relu",
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+ "/neck/blocks.1/blocks.1.7/Conv",
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+ "/neck/blocks.1/blocks.1.9/Relu",
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+ "/neck/blocks.1/blocks.1.10/Conv",
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+ "/neck/blocks.1/blocks.1.12/Relu",
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+ "/neck/blocks.1/blocks.1.13/Conv",
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+ "/neck/blocks.1/blocks.1.15/Relu",
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+ "/neck/blocks.1/blocks.1.16/Conv",
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+ "/neck/blocks.1/blocks.1.18/Relu",
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+ "/neck/deblocks.1/deblocks.1.0/Conv",
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+ "/neck/deblocks.1/deblocks.1.2/Relu",
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+ "/neck/blocks.2/blocks.2.1/Conv",
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+ "/neck/blocks.2/blocks.2.3/Relu",
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+ "/neck/blocks.2/blocks.2.4/Conv",
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+ "/neck/blocks.2/blocks.2.6/Relu",
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+ "/neck/blocks.2/blocks.2.7/Conv",
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+ "/neck/blocks.2/blocks.2.9/Relu",
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+ "/neck/blocks.2/blocks.2.10/Conv",
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+ "/neck/blocks.2/blocks.2.12/Relu",
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+ "/neck/blocks.2/blocks.2.13/Conv",
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+ "/neck/blocks.2/blocks.2.15/Relu",
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+ "/neck/blocks.2/blocks.2.16/Conv",
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+ "/neck/blocks.2/blocks.2.18/Relu"
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+ ],
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+ "data_type": "FP32",
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+ "output_data_type": "FP32"
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+ },
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+ {
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+ "layer_names": [
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+ "/Exp",
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+ "/Sigmoid",
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+ "/Exp_1",
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+ "/Sigmoid_1",
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+ "/Exp_2",
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+ "/Sigmoid_2",
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+ "/Exp_3",
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+ "/Sigmoid_3",
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+ "/Exp_4",
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+ "/Sigmoid_4",
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+ "/Exp_5",
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+ "/Sigmoid_5",
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+ "/ReduceMax",
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+ "/ReduceMax_1",
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+ "/ReduceMax_2",
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+ "/ReduceMax_3",
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+ "/ReduceMax_4",
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+ "/ReduceMax_5"
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+
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+ ],
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+ "data_type": "FP32",
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+ "output_data_type": "FP32"
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+ }
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+ ]
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+ },
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+ "input_processors": [
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+ {
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+ "tensor_name": "input.1",
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+ "src_dtype": "FP32"
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+ },
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+ {
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+ "tensor_name": "indices_input",
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+ "src_dtype": "S32"
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+ }
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+ ],
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+
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+ "compiler": {
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+ "check": 0
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+ }
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+ }