PaddlePaddle / PaddleSOTLinks
A Bytecode level Implementation of Symbolic OpCode Translator For PaddlePaddle
☆16Updated 2 years ago
Alternatives and similar repositories for PaddleSOT
Users that are interested in PaddleSOT are comparing it to the libraries listed below
Sorting:
- An experimental project for paddle python IR.☆15Updated 2 years ago
- Compiler Infrastructure for Neural Networks☆147Updated 2 years ago
- Ascend TileLang adapter☆187Updated this week
- ☆119Updated 9 months ago
- ☆192Updated 2 years ago
- A Triton JIT runtime and ffi provider in C++☆30Updated 3 weeks ago
- FlagTree is a unified compiler supporting multiple AI chip backends for custom Deep Learning operations, which is forked from triton-lang…☆196Updated this week
- Efficient operation implementation based on the Cambricon Machine Learning Unit (MLU) .☆149Updated 3 weeks ago
- play gemm with tvm☆93Updated 2 years ago
- NART = NART is not A RunTime, a deep learning inference framework.☆37Updated 2 years ago
- ☆118Updated last year
- examples for tvm schedule API☆101Updated 2 years ago
- ☆69Updated 2 years ago
- ☆284Updated this week
- A model compilation solution for various hardware☆461Updated 5 months ago
- code reading for tvm☆76Updated 4 years ago
- MegCC是一个运行时超轻量,高效,移植简单的深度学习模型编译器☆489Updated last year
- A benchmark suited especially for deep learning operators☆42Updated 2 years ago
- We invite you to visit and follow our new repository at https://github.com/microsoft/TileFusion. TiledCUDA is a highly efficient kernel …☆191Updated 11 months ago
- ☆33Updated 2 years ago
- ☆152Updated last year
- An unofficial cuda assembler, for all generations of SASS, hopefully :)☆84Updated 2 years ago
- PET: Optimizing Tensor Programs with Partially Equivalent Transformations and Automated Corrections☆122Updated 3 years ago
- ☆144Updated last year
- ☆141Updated last year
- Development repository for the Triton-Linalg conversion☆212Updated 11 months ago
- A simple high performance CUDA GEMM implementation.☆424Updated 2 years ago
- hands on model tuning with TVM and profile it on a Mac M1, x86 CPU, and GTX-1080 GPU.☆49Updated 2 years ago
- A Easy-to-understand TensorOp Matmul Tutorial☆404Updated last week
- ☆98Updated 4 years ago