Oneflow-Inc / oneflow-documentationLinks
oneflow documentation
☆69Updated last year
Alternatives and similar repositories for oneflow-documentation
Users that are interested in oneflow-documentation are comparing it to the libraries listed below
Sorting:
- DeepLearning Framework Performance Profiling Toolkit☆294Updated 3 years ago
- OneFlow models for benchmarking.☆104Updated last year
- ☆23Updated 2 years ago
- Simple Dynamic Batching Inference☆145Updated 3 years ago
- ☆130Updated last year
- ☆141Updated last year
- Easy Parallel Library (EPL) is a general and efficient deep learning framework for distributed model training.☆271Updated 2 years ago
- Models and examples built with OneFlow☆101Updated last year
- OneFlow->ONNX☆43Updated 2 years ago
- Compiler Infrastructure for Neural Networks☆147Updated 2 years ago
- ☆219Updated 2 years ago
- optimized BERT transformer inference on NVIDIA GPU. https://arxiv.org/abs/2210.03052☆476Updated last year
- Place for meetup slides☆140Updated 5 years ago
- ☆152Updated last year
- An unofficial cuda assembler, for all generations of SASS, hopefully :)☆84Updated 2 years ago
- Transformer related optimization, including BERT, GPT☆59Updated 2 years ago
- LiBai(李白): A Toolbox for Large-Scale Distributed Parallel Training☆405Updated 5 months ago
- TePDist (TEnsor Program DISTributed) is an HLO-level automatic distributed system for DL models.☆99Updated 2 years ago
- Performance of the C++ interface of flash attention and flash attention v2 in large language model (LLM) inference scenarios.☆44Updated 10 months ago
- ☆104Updated last year
- [MLSys 2021] IOS: Inter-Operator Scheduler for CNN Acceleration☆200Updated 3 years ago
- heterogeneity-aware-lowering-and-optimization☆257Updated last year
- InsNet Runs Instance-dependent Neural Networks with Padding-free Dynamic Batching.☆67Updated 4 years ago
- ☆192Updated 2 years ago
- ☆98Updated 4 years ago
- A standalone GEMM kernel for fp16 activation and quantized weight, extracted from FasterTransformer☆96Updated 3 months ago
- My learning notes about AI, including Machine Learning and Deep Learning.☆18Updated 6 years ago
- ☆60Updated last year
- AI Accelerator Benchmark focuses on evaluating AI Accelerators from a practical production perspective, including the ease of use and ver…☆289Updated 4 months ago
- Efficient operation implementation based on the Cambricon Machine Learning Unit (MLU) .☆147Updated 2 weeks ago