LukasHedegaard / pytorch-benchmark
Easily benchmark PyTorch model FLOPs, latency, throughput, allocated gpu memory and energy consumption
☆98Updated last year
Alternatives and similar repositories for pytorch-benchmark:
Users that are interested in pytorch-benchmark are comparing it to the libraries listed below
- A simple program to calculate and visualize the FLOPs and Parameters of Pytorch models, with handy CLI and easy-to-use Python API.☆129Updated 4 months ago
- A library that contains a rich collection of performant PyTorch model metrics, a simple interface to create new metrics, a toolkit to fac…☆229Updated 2 months ago
- Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.☆107Updated this week
- A performant, memory-efficient checkpointing library for PyTorch applications, designed with large, complex distributed workloads in mind…☆155Updated 3 months ago
- A code generator from ONNX to PyTorch code☆135Updated 2 years ago
- Context Manager to profile the forward and backward times of PyTorch's nn.Module☆84Updated last year
- ☆202Updated 3 years ago
- This repository contains the experimental PyTorch native float8 training UX☆222Updated 8 months ago
- Timm model explorer☆37Updated 11 months ago
- Example code for profiler workshop☆34Updated 3 years ago
- Memory Optimizations for Deep Learning (ICML 2023)☆62Updated last year
- A library to analyze PyTorch traces.☆354Updated this week
- ☆157Updated last year
- TorchFix - a linter for PyTorch-using code with autofix support☆137Updated last month
- Code repo for the paper BiT Robustly Binarized Multi-distilled Transformer☆104Updated last year
- Dynamic Neural Architecture Search Toolkit☆29Updated 3 months ago
- DeltaCNN End-to-End CNN Inference of Sparse Frame Differences in Videos☆60Updated 2 years ago
- The Triton backend for the PyTorch TorchScript models.☆144Updated 3 weeks ago
- A research library for pytorch-based neural network pruning, compression, and more.☆160Updated 2 years ago
- Torch Distributed Experimental☆115Updated 7 months ago
- 🚀 Collection of components for development, training, tuning, and inference of foundation models leveraging PyTorch native components.☆189Updated this week
- Fast Hadamard transform in CUDA, with a PyTorch interface☆154Updated 10 months ago
- Memory-Efficient CUDA kernels for training ConvNets with PyTorch.☆39Updated last month
- Examples of using PyTorch hooks, as covered in my YouTube tutorial video.☆33Updated last year
- Code for the NeurIPS 2022 paper "Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning".☆113Updated last year
- Model compression for ONNX☆88Updated 4 months ago
- Demystify RAM Usage in Multi-Process Data Loaders☆191Updated last year
- A minimal implementation of vllm.☆37Updated 8 months ago
- MLPerf™ logging library☆33Updated 3 weeks ago
- PyTorch extension for emulating FP8 data formats on standard FP32 Xeon/GPU hardware.☆107Updated 3 months ago