Can you run a quantized model om GPU?

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Deep Learning Tensorrt Pytorch Nvidia neural-network

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  • XNOR-popcount-GEMM-PyTorch-CPU-CUDA

    A PyTorch implemenation of real XNOR-popcount (1-bit op) GEMM Linear PyTorch extension support both CPU and CUDA

  • Binary-Convolutional-Neural-Network-Inference-on-GPU

    GPU implementation of Xnor network on inference level.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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  • SBNN

    Singular Binarized Neural Network based on GPU Bit Operations (see our SC-19 paper)

  • TensorRT

    NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.

    • You might want to try Nvidia's quantization toolkit for pytorch: https://github.com/NVIDIA/TensorRT/tree/main/tools/pytorch-quantization

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