batch-normalization-fuse

There are 1 repository under batch-normalization-fuse topic.

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
quantization pruning dorefa twn bnn xnor-net pytorch model-compression group-convolution network-slimming neuromorphic-computing convolutional-networks network-in-network integer-arithmetic-only quantization-aware-training post-training-quantization tensorrt onnx tensorrt-int8-python batch-normalization-fuse
Language:Python 2185

666DZY666 / micronet