liaohsiaopin / Cambricon_BangC_Practice
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
☆30Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for Cambricon_BangC_Practice
- Cambricon-Test for BANG , homework☆5Updated 4 years ago
- ☆59Updated 4 months ago
- ☆34Updated 2 years ago
- Pytorch implementation of TPAMI 2022 -- 1xN Pattern for Pruning Convolutional Neural Networks☆44Updated 2 years ago
- ☆44Updated 3 years ago
- [ICML 2023] This project is the official implementation of our accepted ICML 2023 paper BiBench: Benchmarking and Analyzing Network Binar…☆54Updated 8 months ago
- hands on model tuning with TVM and profile it on a Mac M1, x86 CPU, and GTX-1080 GPU.☆39Updated last year
- Code base and slides for ECE408:Applied Parallel Programming On GPU.☆117Updated 3 years ago
- A pytorch implementation of DoReFa-Net☆131Updated 4 years ago
- The official PyTorch implementation of the ICLR2022 paper, QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quan…☆112Updated last year
- [CVPRW 2021] Dynamic-OFA: Runtime DNN Architecture Switching for Performance Scaling on Heterogeneous Embedded Platforms☆29Updated 2 years ago
- code for the paper "A Statistical Framework for Low-bitwidth Training of Deep Neural Networks"☆26Updated 4 years ago
- BitSplit Post-trining Quantization☆47Updated 2 years ago
- PyTorch implementation of "Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference"☆53Updated 5 years ago
- ☆41Updated 2 years ago
- Code associated with the paper **Fine-tuning Language Models over Slow Networks using Activation Compression with Guarantees**.☆25Updated last year
- MobiSys#114☆21Updated last year
- CVPR 2021 : Zero-shot Adversarial Quantization (ZAQ)☆65Updated 3 years ago
- Binary neural networks developed by Huawei Noah's Ark Lab☆28Updated 3 years ago
- Pytorch implementation of our paper accepted by CVPR 2022 -- IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Sh…☆31Updated 2 years ago
- Official implementation for paper LIMPQ, "Mixed-Precision Neural Network Quantization via Learned Layer-wise Importance", ECCV 2022☆47Updated last year
- BitPack is a practical tool to efficiently save ultra-low precision/mixed-precision quantized models.☆49Updated last year
- Collections of model quantization algorithms. Any issues, please contact Peng Chen (blueardour@gmail.com)☆68Updated 3 years ago
- [NeurIPS 2024 Oral🔥] DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs.☆98Updated last month
- Official implementation of the EMNLP23 paper: Outlier Suppression+: Accurate quantization of large language models by equivalent and opti…☆41Updated last year
- [CVPR 2020] This project is the PyTorch implementation of our accepted CVPR 2020 paper : forward and backward information retention for a…☆179Updated 4 years ago
- An official implement of CVPR 2023 paper - NoisyQuant: Noisy Bias-Enhanced Post-Training Activation Quantization for Vision Transformers☆16Updated 7 months ago
- Repository for artifact evaluation of ASPLOS 2023 paper "SparseTIR: Composable Abstractions for Sparse Compilation in Deep Learning"☆23Updated last year
- Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation. In CVPR 2022.☆112Updated 2 years ago