Global: input_name: x model_dir: EfficientNetB0_infer model_filename: inference.pdmodel params_filename: inference.pdiparams batch_size: 32 data_dir: /ILSVRC2012 Distillation: alpha: 1.0 loss: l2 node: - softmax_1.tmp_0 Quantization: use_pact: true activation_bits: 8 is_full_quantize: false activation_quantize_type: range_abs_max weight_quantize_type: channel_wise_abs_max not_quant_pattern: - skip_quant quantize_op_types: - conv2d - depthwise_conv2d weight_bits: 8 TrainConfig: epochs: 1 eval_iter: 500 learning_rate: type: CosineAnnealingDecay learning_rate: 0.015 optimizer_builder: optimizer: type: Momentum weight_decay: 0.00002 origin_metric: 0.7738
