ezyang / stride-visualizer
Stride visualizations
☆37Updated 7 years ago
Alternatives and similar repositories for stride-visualizer:
Users that are interested in stride-visualizer are comparing it to the libraries listed below
- A library for syntactically rewriting Python programs, pronounced (sinner).☆69Updated 3 years ago
- Training neural networks in TensorFlow 2.0 with 5x less memory☆130Updated 3 years ago
- Codebase associated with the PyTorch compiler tutorial☆45Updated 5 years ago
- Torch Distributed Experimental☆115Updated 8 months ago
- Customized matrix multiplication kernels☆54Updated 3 years ago
- A Ray-based data loader with per-epoch shuffling and configurable pipelining, for shuffling and loading training data for distributed tra…☆18Updated 2 years ago
- Personal collection of references for high performance mixed precision training.☆41Updated 5 years ago
- This repository contains the results and code for the MLPerf™ Training v0.7 benchmark.☆56Updated last year
- Fast sparse deep learning on CPUs☆53Updated 2 years ago
- Implementation of a Tensorflow XLA rematerialization pass☆15Updated 5 years ago
- Distributed ML Optimizer☆31Updated 3 years ago
- PyTorch RFCs (experimental)☆131Updated 7 months ago
- PyTorch implementation of L2L execution algorithm☆107Updated 2 years 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
- PyProf2: PyTorch Profiling tool☆82Updated 4 years ago
- DLPack for Tensorflow☆35Updated 5 years ago
- This is a Tensor Train based compression library to compress sparse embedding tables used in large-scale machine learning models such as …☆194Updated 2 years ago
- This repository contains the results and code for the MLPerf™ Training v1.0 benchmark.☆38Updated last year
- benchmarking some transformer deployments☆26Updated 2 years ago
- A performant, memory-efficient checkpointing library for PyTorch applications, designed with large, complex distributed workloads in mind…☆156Updated 4 months ago
- MLPerf™ logging library☆34Updated last week
- a lightweight transformer library for PyTorch☆71Updated 3 years ago
- Implementing Google's DistBelief paper☆109Updated 2 years ago
- CUDA templates for tile-sparse matrix multiplication based on CUTLASS.☆51Updated 7 years ago
- Research and development for optimizing transformers☆125Updated 4 years ago
- ☆26Updated 2 years ago
- torch::deploy (multipy for non-torch uses) is a system that lets you get around the GIL problem by running multiple Python interpreters i…☆180Updated 4 months ago
- Automatically insert nvtx ranges to PyTorch models☆17Updated 3 years ago
- Block-sparse primitives for PyTorch☆154Updated 4 years ago
- Implementation of a Transformer, but completely in Triton☆263Updated 3 years ago