jack-willturner / pytorch-onnx-tvmLinks
PyTorch -> ONNX -> TVM for autotuning
☆24Updated 5 years ago
Alternatives and similar repositories for pytorch-onnx-tvm
Users that are interested in pytorch-onnx-tvm are comparing it to the libraries listed below
Sorting:
- Benchmark of TVM quantized model on CUDA☆111Updated 5 years ago
- ☆42Updated 5 years ago
- Optimizing Mobile Deep Learning on ARM GPU with TVM☆181Updated 6 years ago
- quantize aware training package for NCNN on pytorch☆69Updated 3 years ago
- ONNX converter and optimizer scirpts for Kneron hardware.☆40Updated last year
- fastercnn modules optimize☆2Updated last year
- Yet another Polyhedra Compiler for DeepLearning☆19Updated 2 years ago
- Caffe Computation Graph Optimization.☆29Updated 5 years ago
- Parallel CUDA implementation of NON maximum Suppression☆79Updated 4 years ago
- Tengine gemm tutorial, step by step☆13Updated 4 years ago
- symmetric int8 gemm☆66Updated 5 years ago
- TVM learning and research☆13Updated 4 years ago
- Additions and patches to Caffe framework for use with Synopsys DesignWare EV Family of Processors☆22Updated 8 months ago
- Count number of parameters / MACs / FLOPS for ONNX models.☆93Updated 8 months ago
- Inference of quantization aware trained networks using TensorRT☆83Updated 2 years ago
- A quick view of high-performance convolution neural networks (CNNs) inference engines on mobile devices.☆150Updated 3 years ago
- Open deep learning compiler stack for cpu, gpu and specialized accelerators☆10Updated 3 years ago
- Simple pruning example using Caffe☆33Updated 7 years ago
- ☆11Updated 5 years ago
- Repository containing pruned models and related information☆37Updated 4 years ago
- convert torch module to tensorrt network or tvm function☆89Updated 5 years ago
- autoTVM神经网络推理代码优化搜索演示,基于tvm编译开源模型centerface,并使用autoTVM搜索最优推理代码, 最终部署编译为c++代码,演示平台是cuda,可以是其他平台,例如树莓派,安卓手机,苹果手机.Thi is a demonstration of …☆27Updated 4 years ago
- ☆69Updated 2 years ago
- Some recent Quantizing techniques on PyTorch☆72Updated 5 years ago
- Simulate quantization and quantization aware training for MXNet-Gluon models.☆46Updated 5 years ago
- Caffe implementation of ICCV 2017 & TPAMI 2018 paper - ThiNet☆46Updated 6 years ago
- Fast NPU-aware Neural Architecture Search☆22Updated 3 years ago
- how to design cpu gemm on x86 with avx256, that can beat openblas.☆70Updated 6 years ago
- An 8bit automated quantization conversion tool for the pytorch (Post-training quantization based on KL divergence)☆33Updated 5 years ago
- An Example of MXNet Models Comilation and Deployment with NNVM in C++☆16Updated 7 years ago