liaohsiaopin / Cambricon_BangC_PracticeLinks
智能计算系统实验 在Cambricon编程平台上实现用BangC实现五个算子
☆31Updated 5 years ago
Alternatives and similar repositories for Cambricon_BangC_Practice
Users that are interested in Cambricon_BangC_Practice are comparing it to the libraries listed below
Sorting:
- 智能计算系统课程(陈云霁)课后作业记录☆55Updated 5 years ago
- 陈云霁 智能计算系统 课后实验 一键运行☆40Updated 4 years ago
- Cambricon-Test for BANG , homework☆5Updated 5 years ago
- ☆44Updated 3 years ago
- ☆36Updated 2 years ago
- ☆60Updated 11 months ago
- ☆45Updated 5 years ago
- Slides with modifications for a course at Tsinghua University.☆59Updated 2 years ago
- Implement custom operators in PyTorch with cuda/c++☆63Updated 2 years ago
- Pytorch implementation of TPAMI 2022 -- 1xN Pattern for Pruning Convolutional Neural Networks☆43Updated 2 years ago
- Deep Learning Accelerate Knowledge Review☆35Updated 5 years ago
- BitSplit Post-trining Quantization☆50Updated 3 years ago
- ☆23Updated 6 months ago
- code for the paper "A Statistical Framework for Low-bitwidth Training of Deep Neural Networks"☆28Updated 4 years ago
- [MLSys 2021] IOS: Inter-Operator Scheduler for CNN Acceleration☆200Updated 3 years ago
- A simple deep learning framework that supports automatic differentiation and GPU acceleration.☆58Updated 2 years ago
- ☆11Updated 5 months ago
- Pytorch implementation of RAPQ, IJCAI 2022☆21Updated last year
- PyTorch implementation of "Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference"☆56Updated 5 years ago
- A pytorch implementation of DoReFa-Net☆133Updated 5 years ago
- [CVPRW 2021] Dynamic-OFA: Runtime DNN Architecture Switching for Performance Scaling on Heterogeneous Embedded Platforms☆29Updated 2 years ago
- ☆46Updated 5 years ago
- 这里收录比较实用的计算机相关技术书籍,可以在短期之内入门的简单实用教程、一些技术网站以及一些写的比较好的博文,欢迎Fork,你也可以通过Pull Request参与编辑。☆24Updated 8 years ago
- hands on model tuning with TVM and profile it on a Mac M1, x86 CPU, and GTX-1080 GPU.☆48Updated 2 years ago
- Collections of model quantization algorithms. Any issues, please contact Peng Chen (blueardour@gmail.com)☆42Updated 3 years ago
- Official implementation for ECCV 2022 paper LIMPQ - "Mixed-Precision Neural Network Quantization via Learned Layer-wise Importance"☆54Updated 2 years ago
- Dynamic Tensor Rematerialization prototype (modified PyTorch) and simulator. Paper: https://arxiv.org/abs/2006.09616☆132Updated last year
- [CVPR 2020] This project is the PyTorch implementation of our accepted CVPR 2020 paper : forward and backward information retention for a…☆179Updated 5 years ago
- Neural Network Quantization & Low-Bit Fixed Point Training For Hardware-Friendly Algorithm Design☆161Updated 4 years ago
- [ICML 2022] "DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks", by Yonggan …☆35Updated 2 years ago