Files
FastDeploy/tools/common_tools/auto_compression/configs/detection/yolov6s_quant.yaml
yunyaoXYY 29f034cf93 [Quantization] Update auto compression configs files. (#846)
* Fix links in readme

* Fix links in readme

* Update PPOCRv2/v3 examples

* Update auto compression configs
2022-12-11 14:16:13 +08:00

40 lines
918 B
YAML

Global:
model_dir: ./yolov6s.onnx
format: 'onnx'
model_filename: model.pdmodel
params_filename: model.pdiparams
qat_image_path: ./COCO_train_320
ptq_image_path: ./COCO_val_320
input_list: ['x2paddle_image_arrays']
qat_preprocess: yolo_image_preprocess
ptq_preprocess: yolo_image_preprocess
qat_batch_size: 1
Distillation:
alpha: 1.0
loss: soft_label
QuantAware:
onnx_format: true
activation_quantize_type: 'moving_average_abs_max'
quantize_op_types:
- conv2d
- depthwise_conv2d
- conv2d_transpose
PTQ:
calibration_method: 'avg' # option: avg, abs_max, hist, KL, mse
skip_tensor_list: ['conv2d_2.w_0', 'conv2d_15.w_0', 'conv2d_46.w_0', 'conv2d_11.w_0', 'conv2d_49.w_0']
TrainConfig:
train_iter: 8000
learning_rate:
type: CosineAnnealingDecay
learning_rate: 0.00003
T_max: 8000
optimizer_builder:
optimizer:
type: SGD
weight_decay: 0.00004