triton-inference-server / pytorch_backend
The Triton backend for the PyTorch TorchScript models.
☆144Updated this week
Alternatives and similar repositories for pytorch_backend:
Users that are interested in pytorch_backend are comparing it to the libraries listed below
- The Triton backend for the ONNX Runtime.☆140Updated this week
- The Triton backend for TensorRT.☆70Updated last month
- Triton Model Navigator is an inference toolkit designed for optimizing and deploying Deep Learning models with a focus on NVIDIA GPUs.☆199Updated 3 months 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
- Triton CLI is an open source command line interface that enables users to create, deploy, and profile models served by the Triton Inferen…☆61Updated 3 weeks ago
- Common source, scripts and utilities for creating Triton backends.☆315Updated this week
- Home for OctoML PyTorch Profiler☆112Updated last year
- Torch Distributed Experimental☆115Updated 8 months ago
- Triton Model Analyzer is a CLI tool to help with better understanding of the compute and memory requirements of the Triton Inference Serv…☆470Updated last month
- A performant, memory-efficient checkpointing library for PyTorch applications, designed with large, complex distributed workloads in mind…☆156Updated 4 months ago
- PyTorch RFCs (experimental)☆131Updated 7 months ago
- TorchX is a universal job launcher for PyTorch applications. TorchX is designed to have fast iteration time for training/research and sup…☆358Updated last week
- ☆117Updated last year
- Common source, scripts and utilities shared across all Triton repositories.☆69Updated this week
- Implementation of a Transformer, but completely in Triton☆263Updated 3 years ago
- Accelerate PyTorch models with ONNX Runtime☆358Updated last month
- ☆241Updated this week
- A Fusion Code Generator for NVIDIA GPUs (commonly known as "nvFuser")☆314Updated this week
- The Triton backend for TensorFlow.☆51Updated last month
- Provide Python access to the NVML library for GPU diagnostics☆231Updated 4 months ago
- A Python library transfers PyTorch tensors between CPU and NVMe☆113Updated 4 months ago
- Triton backend that enables pre-process, post-processing and other logic to be implemented in Python.☆600Updated this week
- Fast low-bit matmul kernels in Triton☆285Updated this week
- A library to analyze PyTorch traces.☆366Updated last week
- ☆68Updated 3 weeks 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
- ☆411Updated last year
- ☆249Updated 8 months ago
- Context Manager to profile the forward and backward times of PyTorch's nn.Module☆84Updated last year
- A tensor-aware point-to-point communication primitive for machine learning☆256Updated 2 years ago