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5fc6cf30df
* Fix links in readme * Fix links in readme * Update PPOCRv2/v3 examples * Update auto compression configs * Add neww quantization support for paddleclas model * Update quantized Yolov6s model download link
51 lines
1.0 KiB
YAML
51 lines
1.0 KiB
YAML
Global:
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model_dir: ./EfficientNetB0_small_infer/
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format: 'paddle'
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model_filename: inference.pdmodel
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params_filename: inference.pdiparams
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qat_image_path: ./ImageNet_val_640
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ptq_image_path: ./ImageNet_val_640
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input_list: ['inputs']
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qat_preprocess: cls_image_preprocess
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ptq_preprocess: cls_image_preprocess
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qat_batch_size: 32
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Distillation:
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alpha: 1.0
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loss: l2
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node:
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- softmax_0.tmp_0
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QuantAware:
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use_pact: true
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activation_bits: 8
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is_full_quantize: false
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onnx_format: True
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activation_quantize_type: moving_average_abs_max
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weight_quantize_type: channel_wise_abs_max
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not_quant_pattern:
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- skip_quant
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quantize_op_types:
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- conv2d
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- depthwise_conv2d
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- matmul
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- matmul_v2
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weight_bits: 8
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TrainConfig:
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epochs: 1
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eval_iter: 500
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learning_rate:
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type: CosineAnnealingDecay
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learning_rate: 0.015
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T_max: 8000
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optimizer_builder:
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optimizer:
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type: Momentum
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weight_decay: 0.00002
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origin_metric: 0.7738
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PTQ:
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calibration_method: 'avg' # option: avg, abs_max, hist, KL, mse
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skip_tensor_list: None
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