thuml / learn_torch.compileLinks
torch.compile artifacts for common deep learning models, can be used as a learning resource for torch.compile
☆17Updated last year
Alternatives and similar repositories for learn_torch.compile
Users that are interested in learn_torch.compile are comparing it to the libraries listed below
Sorting:
- IntLLaMA: A fast and light quantization solution for LLaMA☆18Updated last year
- ☆49Updated 2 weeks ago
- Quantized Attention on GPU☆44Updated 6 months ago
- ☆48Updated this week
- Framework to reduce autotune overhead to zero for well known deployments.☆74Updated 3 weeks ago
- Benchmark tests supporting the TiledCUDA library.☆16Updated 6 months ago
- Accelerate LLM preference tuning via prefix sharing with a single line of code☆41Updated last month
- FastCache: Fast Caching for Diffusion Transformer Through Learnable Linear Approximation [Efficient ML Model]☆21Updated last week
- TensorRT LLM Benchmark Configuration☆13Updated 10 months ago
- ☆20Updated last month
- ☆71Updated 2 weeks ago
- A Suite for Parallel Inference of Diffusion Transformers (DiTs) on multi-GPU Clusters☆45Updated 10 months ago
- Odysseus: Playground of LLM Sequence Parallelism☆70Updated 11 months ago
- Open deep learning compiler stack for cpu, gpu and specialized accelerators☆18Updated last week
- ☆59Updated last month
- APPy (Annotated Parallelism for Python) enables users to annotate loops and tensor expressions in Python with compiler directives akin to…☆23Updated this week
- An auxiliary project analysis of the characteristics of KV in DiT Attention.☆30Updated 6 months ago
- DeeperGEMM: crazy optimized version☆69Updated last month
- ⚡️Write HGEMM from scratch using Tensor Cores with WMMA, MMA and CuTe API, Achieve Peak⚡️ Performance.☆79Updated 3 weeks ago
- ☆26Updated last year
- DeepGEMM: clean and efficient FP8 GEMM kernels with fine-grained scaling☆15Updated 3 weeks ago
- FlexAttention w/ FlashAttention3 Support☆26Updated 8 months ago
- TileFusion is an experimental C++ macro kernel template library that elevates the abstraction level in CUDA C for tile processing.☆88Updated last week
- Implementation of IceFormer: Accelerated Inference with Long-Sequence Transformers on CPUs (ICLR 2024).☆25Updated 11 months ago
- Patch convolution to avoid large GPU memory usage of Conv2D☆87Updated 4 months ago
- GPTQ inference TVM kernel☆40Updated last year
- Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.☆127Updated this week
- ☆19Updated 8 months ago
- ☆73Updated 4 months ago
- Decoding Attention is specially optimized for MHA, MQA, GQA and MLA using CUDA core for the decoding stage of LLM inference.☆36Updated 2 months ago