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666DZY666 / micronet

micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、regular and group convolutional channel pruning; 3、 group convolution structure; 4、batch-normalization fuse for quantization. deploy: tensorrt, fp32/fp16/int8(ptq-calibration)、op-adapt(upsample)、dynamic_shape
MIT License
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二值量化中心化并截断部分发现一处不知是bug还是我没有理解 #30

Open onion-rain opened 4 years ago

onion-rain commented 4 years ago

你好， image quantization/WbWtAb/models/util_wt_bab.py这个文件中的meancenter_clampConvParams(w)函数貌似并没有对输入w进行修改就直接返回w了，不知道是不是bug。 另外，你这里中心化和截断操作都用.data截断梯度流是为何呢，我有点不能理解，是为了反向传播时这部分不进行求导吗？