masahi / tvm-winogradLinks
Test winograd convolution written in TVM for CUDA and AMDGPU
☆41Updated 6 years ago
Alternatives and similar repositories for tvm-winograd
Users that are interested in tvm-winograd are comparing it to the libraries listed below
Sorting:
- ☆24Updated 7 years ago
- Codebase associated with the PyTorch compiler tutorial☆46Updated 5 years ago
- This is a PyTorch implementation of the Scalpel. Node pruning for five benchmark networks and SIMD-aware weight pruning for LeNet-300-100…☆41Updated 6 years ago
- Training Low-bits DNNs with Stochastic Quantization☆74Updated 7 years ago
- Move to https://github.com/apache/incubator-tvm-site☆26Updated 4 years ago
- Training neural networks with 8-bit computations☆28Updated 9 years ago
- Simple Training and Deployment of Fast End-to-End Binary Networks☆157Updated 3 years ago
- Training deep neural networks with low precision multiplications☆63Updated 9 years ago
- ☆53Updated 7 years ago
- Optimized half precision gemm assembly kernels (deprecated due to ROCm)☆47Updated 8 years ago
- Efficient forward propagation for BCNNs☆50Updated 8 years ago
- Benchmark of TVM quantized model on CUDA☆111Updated 5 years ago
- ☆20Updated 7 years ago
- An analytical performance modeling tool for deep neural networks.☆89Updated 4 years ago
- ☆47Updated 5 years ago
- DLPack for Tensorflow☆35Updated 5 years ago
- Accelerating DNN Convolutional Layers with Micro-batches☆63Updated 5 years ago
- DNN Inference with CPU, C++, ONNX support: Instant☆56Updated 6 years ago
- Kernel Fusion and Runtime Compilation Based on NNVM☆70Updated 8 years ago
- LCNN: Lookup-based Convolutional Neural Network☆52Updated 7 years ago
- Static analysis framework for analyzing programs written in TVM's Relay IR.☆28Updated 5 years ago
- ☆69Updated 2 years ago
- This repository represents training examples for the CVPR 2018 paper "SYQ:Learning Symmetric Quantization For Efficient Deep Neural Netwo…☆31Updated 5 years ago
- image to column☆30Updated 11 years ago
- Quantize weights and activations in Recurrent Neural Networks.☆94Updated 6 years ago
- An Example of MXNet Models Comilation and Deployment with NNVM in C++☆16Updated 7 years ago
- Caffe implementation of accurate low-precision neural networks☆117Updated 6 years ago
- SqueezeNet Generator☆31Updated 7 years ago
- Accelerating CNN's convolution operation on GPUs by using memory-efficient data access patterns.☆14Updated 7 years ago
- flexible-gemm conv of deepcore☆17Updated 5 years ago