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Search results for pytorch post training quantization

post-training-quantization x

4 search results found

Micronet ⭐ 2,177

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/in

Tinyneuralnetwork ⭐ 681

TinyNeuralNetwork is an efficient and easy-to-use deep learning model compression framework.

[IJCAI 2022] FQ-ViT: Post-Training Quantization for Fully Quantized Vision Transformer

Q Diffusion ⭐ 125

[ICCV 2023] Q-Diffusion: Quantizing Diffusion Models.

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