32 lines
706 B
YAML
32 lines
706 B
YAML
pretrain_weights: https://paddledet.bj.bcebos.com/models/yolov3_darknet53_270e_coco.pdparams
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slim: QAT
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QAT:
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quant_config: {
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'weight_quantize_type': 'channel_wise_abs_max', 'activation_quantize_type': 'moving_average_abs_max',
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'weight_bits': 8, 'activation_bits': 8, 'dtype': 'int8', 'window_size': 10000, 'moving_rate': 0.9,
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'quantizable_layer_type': ['Conv2D', 'Linear']}
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print_model: True
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epoch: 50
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LearningRate:
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base_lr: 0.0001
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schedulers:
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- !PiecewiseDecay
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gamma: 0.1
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milestones:
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- 30
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- 45
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- !LinearWarmup
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start_factor: 0.
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steps: 1000
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OptimizerBuilder:
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optimizer:
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momentum: 0.9
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type: Momentum
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regularizer:
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factor: 0.0005
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type: L2
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