thuml / depyfLinks
depyf is a tool to help you understand and adapt to PyTorch compiler torch.compile.
☆756Updated last month
Alternatives and similar repositories for depyf
Users that are interested in depyf are comparing it to the libraries listed below
Sorting:
- Distributed Compiler based on Triton for Parallel Systems☆1,233Updated this week
- FlagGems is an operator library for large language models implemented in the Triton Language.☆757Updated this week
- Pipeline Parallelism for PyTorch☆781Updated last year
- A Python-embedded DSL that makes it easy to write fast, scalable ML kernels with minimal boilerplate.☆620Updated this week
- A Quirky Assortment of CuTe Kernels☆653Updated 2 weeks ago
- A collection of memory efficient attention operators implemented in the Triton language.☆284Updated last year
- Puzzles for learning Triton, play it with minimal environment configuration!☆561Updated last month
- A subset of PyTorch's neural network modules, written in Python using OpenAI's Triton.☆582Updated 3 months ago
- Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.☆282Updated this week
- A CPU+GPU Profiling library that provides access to timeline traces and hardware performance counters.☆890Updated this week
- flash attention tutorial written in python, triton, cuda, cutlass☆443Updated 6 months ago
- BitBLAS is a library to support mixed-precision matrix multiplications, especially for quantized LLM deployment.☆708Updated 3 months ago
- Mirage Persistent Kernel: Compiling LLMs into a MegaKernel☆1,942Updated this week
- Flash Attention in ~100 lines of CUDA (forward pass only)☆968Updated 10 months ago
- ☆247Updated this week
- A library to analyze PyTorch traces.☆426Updated last week
- A Easy-to-understand TensorOp Matmul Tutorial☆390Updated last month
- Cataloging released Triton kernels.☆265Updated 2 months ago
- An open-source efficient deep learning framework/compiler, written in python.☆735Updated 2 months ago
- Ring attention implementation with flash attention☆906Updated 2 months ago
- Microsoft Automatic Mixed Precision Library☆626Updated last year
- Zero Bubble Pipeline Parallelism☆433Updated 6 months ago
- Applied AI experiments and examples for PyTorch☆303Updated 2 months ago
- ☆181Updated last year
- kernels, of the mega variety☆599Updated last month
- Helpful tools and examples for working with flex-attention☆1,053Updated this week
- Shared Middle-Layer for Triton Compilation☆306Updated 2 weeks ago
- Fast low-bit matmul kernels in Triton☆395Updated 2 weeks ago
- A Python-level JIT compiler designed to make unmodified PyTorch programs faster.☆1,066Updated last year
- KernelBench: Can LLMs Write GPU Kernels? - Benchmark with Torch -> CUDA (+ more DSLs)☆655Updated last week