ssd_mobilenet_v1_qat.yml 432 B

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  1. pretrain_weights: https://paddlemodels.bj.bcebos.com/object_detection/dygraph/ssd_mobilenet_v1_300_120e_voc.pdparams
  2. slim: QAT
  3. QAT:
  4. quant_config: {
  5. 'weight_quantize_type': 'channel_wise_abs_max', 'activation_quantize_type': 'moving_average_abs_max',
  6. 'weight_bits': 8, 'activation_bits': 8, 'dtype': 'int8', 'window_size': 10000, 'moving_rate': 0.9,
  7. 'quantizable_layer_type': ['Conv2D', 'Linear']}
  8. print_model: True