zhijian-liu / torchprofileLinks
A general and accurate MACs / FLOPs profiler for PyTorch models
☆613Updated last year
Alternatives and similar repositories for torchprofile
Users that are interested in torchprofile are comparing it to the libraries listed below
Sorting:
- Estimate/count FLOPS for a given neural network using pytorch☆304Updated 3 years ago
- PyTorch layer-by-layer model profiler☆607Updated 4 years ago
- Slicing a PyTorch Tensor Into Parallel Shards☆299Updated 3 years ago
- Tutorial for building a custom CUDA function for Pytorch☆515Updated 6 years ago
- PyTorch library to facilitate development and standardized evaluation of neural network pruning methods.☆430Updated last year
- [CVPR'20] ZeroQ: A Novel Zero Shot Quantization Framework☆279Updated last year
- ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training☆200Updated 2 years ago
- Pruning Neural Networks with Taylor criterion in Pytorch☆318Updated 5 years ago
- ☆232Updated 2 years ago
- A GPU performance profiling tool for PyTorch models☆503Updated 3 years ago
- Pytorch implementation of BRECQ, ICLR 2021☆273Updated 3 years ago
- ☆225Updated 3 years ago
- Seamless analysis of your PyTorch models (RAM usage, FLOPs, MACs, receptive field, etc.)☆218Updated 2 months ago
- A GPipe implementation in PyTorch☆842Updated 10 months ago
- Slimmable Networks, AutoSlim, and Beyond, ICLR 2019, and ICCV 2019☆917Updated 2 years ago
- Low Precision Arithmetic Simulation in PyTorch☆277Updated last year
- Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.☆435Updated 2 years ago
- Collection of recent methods on (deep) neural network compression and acceleration.☆949Updated last month
- Knowledge Distillation: CVPR2020 Oral, Revisiting Knowledge Distillation via Label Smoothing Regularization☆585Updated 2 years ago
- Awesome machine learning model compression research papers, quantization, tools, and learning material.☆523Updated 8 months ago
- PyTorch implementation for the APoT quantization (ICLR 2020)☆273Updated 5 months ago
- Demystify RAM Usage in Multi-Process Data Loaders☆194Updated 2 years ago
- Summary, Code for Deep Neural Network Quantization☆548Updated 7 months ago
- Accelerate training by storing parameters in one contiguous chunk of memory.☆291Updated 4 years ago
- PyTorch implementation of Data Free Quantization Through Weight Equalization and Bias Correction.☆262Updated last year
- [ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices☆441Updated last year
- [ACL'20] HAT: Hardware-Aware Transformers for Efficient Natural Language Processing☆334Updated 10 months ago
- My best practice of training large dataset using PyTorch.☆1,098Updated last year
- A LARS implementation in PyTorch☆345Updated 5 years ago
- [CVPR 2019, Oral] HAQ: Hardware-Aware Automated Quantization with Mixed Precision☆384Updated 4 years ago