pytorch / kineto
A CPU+GPU Profiling library that provides access to timeline traces and hardware performance counters.
☆767Updated this week
Alternatives and similar repositories for kineto:
Users that are interested in kineto are comparing it to the libraries listed below
- A Python-level JIT compiler designed to make unmodified PyTorch programs faster.☆1,029Updated 10 months ago
- Pipeline Parallelism for PyTorch☆749Updated 5 months ago
- A library to analyze PyTorch traces.☆332Updated this week
- A GPU performance profiling tool for PyTorch models☆501Updated 3 years ago
- TorchX is a universal job launcher for PyTorch applications. TorchX is designed to have fast iteration time for training/research and sup…☆345Updated this week
- NCCL Tests☆996Updated 2 weeks ago
- A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper and Ada GPUs…☆2,182Updated this week
- TorchBench is a collection of open source benchmarks used to evaluate PyTorch performance.☆904Updated this week
- Tutel MoE: An Optimized Mixture-of-Experts Implementation☆765Updated last week
- A GPipe implementation in PyTorch☆828Updated 6 months ago
- A tensor-aware point-to-point communication primitive for machine learning☆253Updated 2 years ago
- An open-source efficient deep learning framework/compiler, written in python.☆681Updated last week
- common in-memory tensor structure☆942Updated 2 weeks ago
- A performant, memory-efficient checkpointing library for PyTorch applications, designed with large, complex distributed workloads in mind…☆154Updated 2 months ago
- Slicing a PyTorch Tensor Into Parallel Shards☆298Updated 3 years ago
- FB (Facebook) + GEMM (General Matrix-Matrix Multiplication) - https://code.fb.com/ml-applications/fbgemm/☆1,260Updated this week
- Microsoft Automatic Mixed Precision Library☆566Updated 4 months ago
- Accelerate PyTorch models with ONNX Runtime☆358Updated 5 months ago
- Zero Bubble Pipeline Parallelism☆336Updated last week
- Triton Model Analyzer is a CLI tool to help with better understanding of the compute and memory requirements of the Triton Inference Serv…☆453Updated this week
- Microsoft Collective Communication Library☆332Updated last year
- The Tensor Algebra SuperOptimizer for Deep Learning☆696Updated 2 years ago
- A flexible and efficient deep neural network (DNN) compiler that generates high-performance executable from a DNN model description.☆974Updated 5 months ago
- functorch is JAX-like composable function transforms for PyTorch.☆1,410Updated this week
- ☆387Updated 2 years ago
- Library for 8-bit optimizers and quantization routines.☆717Updated 2 years ago
- Provide Python access to the NVML library for GPU diagnostics☆226Updated 2 months ago
- depyf is a tool to help you understand and adapt to PyTorch compiler torch.compile.☆581Updated 2 months ago
- Bagua Speeds up PyTorch☆879Updated 6 months ago
- Implementation of a Transformer, but completely in Triton☆257Updated 2 years ago