microsoft / torchy
A tracing JIT for PyTorch
☆17Updated 2 years ago
Alternatives and similar repositories for torchy:
Users that are interested in torchy are comparing it to the libraries listed below
- ☆13Updated 3 years ago
- An experimental ahead of time compiler for Relay.☆50Updated 5 years ago
- TORCH_LOGS parser for PT2☆37Updated 2 weeks ago
- An IR for efficiently simulating distributed ML computation.☆28Updated last year
- Benchmarks to capture important workloads.☆31Updated 3 months ago
- Fairring (FAIR + Herring) is a plug-in for PyTorch that provides a process group for distributed training that outperforms NCCL at large …☆65Updated 3 years ago
- A sandbox for quick iteration and experimentation on projects related to IREE, MLIR, and LLVM☆57Updated last month
- ☆50Updated last year
- Artifacts for SOSP'19 paper Optimizing Deep Learning Computation with Automatic Generation of Graph Substitutions☆21Updated 3 years ago
- Static analysis framework for analyzing programs written in TVM's Relay IR.☆28Updated 5 years ago
- End to End steps for adding custom ops in PyTorch.☆22Updated 4 years ago
- TileFusion is an experimental C++ macro kernel template library that elevates the abstraction level in CUDA C for tile processing.☆84Updated this week
- ☆11Updated 4 years ago
- MLIR-based partitioning system☆82Updated this week
- ☆23Updated last year
- ☆40Updated 4 months ago
- A lightweight, Pythonic, frontend for MLIR☆81Updated last year
- NVIDIA's launch, startup, and logging scripts used by our MLPerf Training and HPC submissions☆26Updated last week
- An experimental CPU backend for Triton (https//github.com/openai/triton)☆40Updated last month
- Codebase associated with the PyTorch compiler tutorial☆45Updated 5 years ago
- npcomp - An aspirational MLIR based numpy compiler☆51Updated 4 years ago
- Open source cross-platform compiler for compute-intensive loops used in AI algorithms, from Microsoft Research☆109Updated last year
- No-GIL Python environment featuring NVIDIA Deep Learning libraries.☆59Updated 3 weeks ago
- Memory Optimizations for Deep Learning (ICML 2023)☆64Updated last year
- Training neural networks in TensorFlow 2.0 with 5x less memory☆131Updated 3 years ago
- ☆69Updated 2 years ago
- Home for OctoML PyTorch Profiler☆113Updated 2 years ago
- extensible collectives library in triton☆85Updated last month
- Code for Large Graph Convolutional Network Training with GPU-Oriented Data Communication Architecture (accepted by PVLDB).The outdated wr…☆9Updated last year
- A memory profiler for NVIDIA GPUs to explore memory inefficiencies in GPU-accelerated applications.☆25Updated 6 months ago