ptillet / torch-blocksparse
Block-sparse primitives for PyTorch
☆148Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for torch-blocksparse
- Low Precision Arithmetic Simulation in PyTorch☆265Updated 6 months ago
- ☆194Updated last year
- Training neural networks in TensorFlow 2.0 with 5x less memory☆129Updated 2 years ago
- PyTorch implementation of L2L execution algorithm☆106Updated last year
- Structured matrices for compressing neural networks☆67Updated last year
- Research and development for optimizing transformers☆125Updated 3 years ago
- ☆149Updated 5 months ago
- Customized matrix multiplication kernels☆53Updated 2 years ago
- CUDA templates for tile-sparse matrix multiplication based on CUTLASS.☆49Updated 6 years ago
- Fast Block Sparse Matrices for Pytorch☆545Updated 3 years ago
- Butterfly matrix multiplication in PyTorch☆164Updated last year
- Implementation of a Transformer, but completely in Triton☆248Updated 2 years ago
- Slicing a PyTorch Tensor Into Parallel Shards☆296Updated 3 years ago
- A library of GPU kernels for sparse matrix operations.☆249Updated 3 years ago
- Code for paper "SWALP: Stochastic Weight Averaging forLow-Precision Training".☆62Updated 5 years ago
- Dynamic Tensor Rematerialization prototype (modified PyTorch) and simulator. Paper: https://arxiv.org/abs/2006.09616☆129Updated last year
- [ACL'20] HAT: Hardware-Aware Transformers for Efficient Natural Language Processing☆330Updated 4 months ago
- Easy-to-use AdaHessian optimizer (PyTorch)☆77Updated 4 years ago
- CUDA kernels for generalized matrix-multiplication in PyTorch☆79Updated 3 years ago
- MONeT framework for reducing memory consumption of DNN training☆173Updated 3 years ago
- PyProf2: PyTorch Profiling tool☆83Updated 4 years ago
- [Prototype] Tools for the concurrent manipulation of variably sized Tensors.☆253Updated 2 years ago
- [ICLR 2020] Drawing Early-Bird Tickets: Toward More Efficient Training of Deep Networks☆137Updated 4 years ago
- A GPU performance profiling tool for PyTorch models☆495Updated 3 years ago
- Distributed K-FAC Preconditioner for PyTorch☆80Updated this week
- Simple Training and Deployment of Fast End-to-End Binary Networks☆159Updated 2 years ago
- ☆156Updated last year
- A performant, memory-efficient checkpointing library for PyTorch applications, designed with large, complex distributed workloads in mind…☆146Updated this week
- Torch Distributed Experimental☆116Updated 3 months ago
- A Re-implementation of Fixed-update Initialization☆151Updated 5 years ago