jack-willturner / nas-as-program-transformation-explorationLinks
The code for our paper "Neural Architecture Search as Program Transformation Exploration"
☆16Updated 4 years ago
Alternatives and similar repositories for nas-as-program-transformation-exploration
Users that are interested in nas-as-program-transformation-exploration are comparing it to the libraries listed below
Sorting:
- Chameleon: Adaptive Code Optimization for Expedited Deep Neural Network Compilation☆27Updated 6 years ago
- This is the implementation for paper: AdaTune: Adaptive Tensor Program CompilationMade Efficient (NeurIPS 2020).☆14Updated 4 years ago
- Benchmark for matrix multiplications between dense and block sparse (BSR) matrix in TVM, blocksparse (Gray et al.) and cuSparse.☆23Updated 5 years ago
- SparseTIR: Sparse Tensor Compiler for Deep Learning☆140Updated 2 years ago
- An external memory allocator example for PyTorch.☆16Updated 4 months ago
- ☆13Updated 4 years ago
- ☆22Updated 10 months ago
- ☆14Updated 4 years ago
- ☆12Updated 2 years ago
- Training with Block Minifloat number representation☆17Updated 4 years ago
- Benchmark PyTorch Custom Operators☆14Updated 2 years ago
- DietCode Code Release☆64Updated 3 years ago
- Binary Neural Network-based COVID-19 Face-Mask Wear and Positioning Predictor on Edge Devices☆12Updated 4 years ago
- ASPLOS'24: Optimal Kernel Orchestration for Tensor Programs with Korch☆39Updated 8 months ago
- GoldenEye is a functional simulator with fault injection capabilities for common and emerging numerical formats, implemented for the PyTo…☆27Updated last year
- Artifacts of EVT ASPLOS'24☆28Updated last year
- ☆18Updated 5 years ago
- The quantitative performance comparison among DL compilers on CNN models.☆74Updated 5 years ago
- Repository for artifact evaluation of ASPLOS 2023 paper "SparseTIR: Composable Abstractions for Sparse Compilation in Deep Learning"☆26Updated 2 years ago
- Code for ICML 2021 submission☆35Updated 4 years ago
- System for automated integration of deep learning backends.☆47Updated 3 years ago
- [ICML 2021] "Auto-NBA: Efficient and Effective Search Over the Joint Space of Networks, Bitwidths, and Accelerators" by Yonggan Fu, Yonga…☆16Updated 3 years ago
- PyTorch compilation tutorial covering TorchScript, torch.fx, and Slapo☆17Updated 2 years ago
- Official implementation of "Searching for Winograd-aware Quantized Networks" (MLSys'20)☆27Updated 2 years ago
- Benchmark scripts for TVM☆74Updated 3 years ago
- ☆92Updated 3 years ago
- An extention of TVMScript to write simple and high performance GPU kernels with tensorcore.☆51Updated last year
- ☆19Updated 4 years ago
- Autocomp: AI Code Optimizer for Tensor Accelerators☆56Updated this week
- ☆14Updated last year