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- pretrain_weights: https://paddledet.bj.bcebos.com/models/mask_rcnn_r50_fpn_1x_coco.pdparams
- slim: QAT
- QAT:
- quant_config: {
- '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: 5
- LearningRate:
- base_lr: 0.001
- schedulers:
- - !PiecewiseDecay
- gamma: 0.1
- milestones: [3, 4]
- - !LinearWarmup
- start_factor: 0.001
- steps: 100
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