LukasHedegaard / pytorch-benchmarkLinks
Easily benchmark PyTorch model FLOPs, latency, throughput, allocated gpu memory and energy consumption
☆103Updated last year
Alternatives and similar repositories for pytorch-benchmark
Users that are interested in pytorch-benchmark are comparing it to the libraries listed below
Sorting:
- A performant, memory-efficient checkpointing library for PyTorch applications, designed with large, complex distributed workloads in mind…☆157Updated this week
- This repository contains the experimental PyTorch native float8 training UX☆224Updated 10 months ago
- Demystify RAM Usage in Multi-Process Data Loaders☆194Updated 2 years ago
- [ICML 2022] "Coarsening the Granularity: Towards Structurally Sparse Lottery Tickets" by Tianlong Chen, Xuxi Chen, Xiaolong Ma, Yanzhi Wa…☆33Updated 2 years ago
- ☆205Updated 3 years ago
- Dynamic Neural Architecture Search Toolkit☆30Updated 6 months ago
- Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.☆167Updated this week
- Context Manager to profile the forward and backward times of PyTorch's nn.Module☆83Updated last year
- A library that contains a rich collection of performant PyTorch model metrics, a simple interface to create new metrics, a toolkit to fac…☆233Updated 5 months ago
- PyTorch extension for emulating FP8 data formats on standard FP32 Xeon/GPU hardware.☆110Updated 6 months ago
- ☆157Updated last year
- A simple program to calculate and visualize the FLOPs and Parameters of Pytorch models, with handy CLI and easy-to-use Python API.☆129Updated 7 months ago
- Recent Advances on Efficient Vision Transformers☆51Updated 2 years ago
- Torch Distributed Experimental☆116Updated 10 months ago
- Collection of kernels written in Triton language☆132Updated 2 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 2 weeks ago
- Code for the NeurIPS 2022 paper "Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning".☆122Updated last year
- [ICML 2022] "DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks", by Yonggan …☆71Updated 2 years ago
- Code repo for the paper BiT Robustly Binarized Multi-distilled Transformer☆108Updated 2 years ago
- TorchFix - a linter for PyTorch-using code with autofix support☆143Updated 4 months ago
- QUICK: Quantization-aware Interleaving and Conflict-free Kernel for efficient LLM inference☆118Updated last year
- MLPerf™ logging library☆36Updated 2 months ago
- pytorch-profiler☆51Updated 2 years ago
- Fast Hadamard transform in CUDA, with a PyTorch interface☆201Updated last year
- Example code for profiler workshop☆33Updated 3 years ago
- Implementation of a Transformer, but completely in Triton☆268Updated 3 years ago
- A research library for pytorch-based neural network pruning, compression, and more.☆162Updated 2 years ago
- ☆38Updated this week
- A library to analyze PyTorch traces.☆391Updated last week
- Memory-Efficient CUDA kernels for training ConvNets with PyTorch.☆41Updated 4 months ago