car-line-detect/configs/slim/quant/yolov3_mobilenet_v3_qat.yml
2021-06-23 08:58:10 +08:00

25 lines
674 B
YAML

# Weights of yolov3_mobilenet_v3_coco
pretrain_weights: https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v3_large_270e_coco.pdparams
slim: QAT
QAT:
quant_config: {
'weight_preprocess_type': 'PACT',
'weight_quantize_type': 'channel_wise_abs_max', 'activation_quantize_type': 'moving_average_abs_max',
'weight_bits': 8, 'activation_bits': 8, 'dtype': 'int8', 'window_size': 10000, 'moving_rate': 0.9,
'quantizable_layer_type': ['Conv2D', 'Linear']}
print_model: True
epoch: 30
LearningRate:
base_lr: 0.0001
schedulers:
- !PiecewiseDecay
gamma: 0.1
milestones:
- 25
- 28
- !LinearWarmup
start_factor: 0.
steps: 2000