ROCm / xformersLinks
Hackable and optimized Transformers building blocks, supporting a composable construction.
☆31Updated this week
Alternatives and similar repositories for xformers
Users that are interested in xformers are comparing it to the libraries listed below
Sorting:
- [WIP] Better (FP8) attention for Hopper☆31Updated 4 months ago
- AMD related optimizations for transformer models☆80Updated 3 weeks ago
- 8-bit CUDA functions for PyTorch☆53Updated 3 weeks ago
- Fast and memory-efficient exact attention☆177Updated this week
- ☆71Updated 6 months ago
- Development repository for the Triton language and compiler☆125Updated this week
- PyTorch half precision gemm lib w/ fused optional bias + optional relu/gelu☆72Updated 7 months ago
- ☆75Updated 7 months ago
- ☆74Updated 3 months ago
- Lightweight Python Wrapper for OpenVINO, enabling LLM inference on NPUs☆21Updated 7 months ago
- A Suite for Parallel Inference of Diffusion Transformers (DiTs) on multi-GPU Clusters☆47Updated 11 months ago
- Unit Scaling demo and experimentation code☆16Updated last year
- Prepare for DeekSeek R1 inference: Benchmark CPU, DRAM, SSD, iGPU, GPU, ... with efficient code.☆72Updated 5 months ago
- a simple Flash Attention v2 implementation with ROCM (RDNA3 GPU, roc wmma), mainly used for stable diffusion(ComfyUI) in Windows ZLUDA en…☆43Updated 10 months ago
- ☆139Updated 3 weeks ago
- An auxiliary project analysis of the characteristics of KV in DiT Attention.☆31Updated 7 months ago
- (WIP) Parallel inference for black-forest-labs' FLUX model.☆19Updated 7 months ago
- ☆35Updated this week
- A high-throughput and memory-efficient inference and serving engine for LLMs☆85Updated this week
- A Python library transfers PyTorch tensors between CPU and NVMe☆116Updated 7 months ago
- Open deep learning compiler stack for cpu, gpu and specialized accelerators☆19Updated last week
- CPM.cu is a lightweight, high-performance CUDA implementation for LLMs, optimized for end-device inference and featuring cutting-edge tec…☆160Updated this week
- llama.cpp to PyTorch Converter☆33Updated last year
- Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more☆24Updated this week
- ☆60Updated 2 months ago
- ☆60Updated last year
- QuIP quantization☆54Updated last year
- Framework to reduce autotune overhead to zero for well known deployments.☆79Updated last week
- APPy (Annotated Parallelism for Python) enables users to annotate loops and tensor expressions in Python with compiler directives akin to…☆24Updated 3 weeks ago
- A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch☆22Updated this week