ezyang / stride-visualizer
Stride visualizations
☆36Updated 6 years ago
Related projects ⓘ
Alternatives and complementary repositories for stride-visualizer
- Codebase associated with the PyTorch compiler tutorial☆44Updated 5 years ago
- Customized matrix multiplication kernels☆53Updated 2 years ago
- DLPack for Tensorflow☆36Updated 4 years ago
- Training neural networks in TensorFlow 2.0 with 5x less memory☆128Updated 2 years ago
- A library for syntactically rewriting Python programs, pronounced (sinner).☆70Updated 2 years ago
- ☆23Updated 2 months ago
- Profile the GPU memory usage of every line in a Pytorch code☆82Updated 6 years ago
- PyTorch RFCs (experimental)☆127Updated 2 months ago
- Personal collection of references for high performance mixed precision training.☆41Updated 5 years ago
- benchmarking some transformer deployments☆26Updated last year
- PyProf2: PyTorch Profiling tool☆83Updated 4 years ago
- a lightweight transformer library for PyTorch☆72Updated 3 years ago
- This repository contains the results and code for the MLPerf™ Training v1.0 benchmark.☆37Updated 8 months ago
- Fairring (FAIR + Herring) is a plug-in for PyTorch that provides a process group for distributed training that outperforms NCCL at large …☆63Updated 2 years ago
- Torch Distributed Experimental☆116Updated 3 months ago
- Automatically insert nvtx ranges to PyTorch models☆17Updated 3 years ago
- ONNX Command-Line Toolbox☆35Updated 3 weeks ago
- Nod.ai 🦈 version of 👻 . You probably want to start at https://github.com/nod-ai/shark for the product and the upstream IREE repository …☆107Updated this week
- Benchmarks to capture important workloads.☆28Updated 5 months ago
- This repository contains the results and code for the MLPerf™ Training v0.7 benchmark.☆56Updated last year
- CUDA templates for tile-sparse matrix multiplication based on CUTLASS.☆49Updated 6 years ago
- Example python package with pybind11 cpp extension☆57Updated 3 years ago
- Implementation of a Tensorflow XLA rematerialization pass☆15Updated 4 years ago
- Tensors and Dynamic neural networks in Python with strong GPU acceleration☆20Updated last year
- A Ray-based data loader with per-epoch shuffling and configurable pipelining, for shuffling and loading training data for distributed tra…☆18Updated last year
- Implementation of a Transformer, but completely in Triton☆248Updated 2 years ago
- Test winograd convolution written in TVM for CUDA and AMDGPU☆40Updated 6 years ago
- A performant, memory-efficient checkpointing library for PyTorch applications, designed with large, complex distributed workloads in mind…☆146Updated this week