mindspore-ai / akg
AKG (Auto Kernel Generator) is an optimizer for operators in Deep Learning Networks, which provides the ability to automatically fuse ops with specific patterns.
☆218Updated 10 months ago
Alternatives and similar repositories for akg:
Users that are interested in akg are comparing it to the libraries listed below
- A connecting link module between frontends and Ascend processors.☆85Updated 9 months ago
- A visual dashboard for model tuning.☆102Updated 3 months ago
- MindSpore community☆69Updated 9 months ago
- A lightweight and high-performance service module that helps MindSpore developers efficiently deploy online inference services in the pro…☆41Updated 10 months ago
- The codes that boot up the mindspore community☆44Updated 6 months ago
- MindSpore on Kubernetes☆62Updated 2 years ago
- MindSpore document☆161Updated 7 months ago
- The mail templates for community mail server☆37Updated 4 years ago
- The code repository stores the complete practice code in 'Introduction DeepLearning with MindSpore'.☆43Updated 2 years ago
- MindSpore hub☆29Updated last year
- MindSpore 21 days tutorials.☆78Updated 3 years ago
- MindSpore course☆61Updated 2 years ago
- Automatic Schedule Exploration and Optimization Framework for Tensor Computations☆175Updated 2 years ago
- A benchmark suited especially for deep learning operators☆42Updated last year
- [MLSys 2021] IOS: Inter-Operator Scheduler for CNN Acceleration☆196Updated 2 years ago
- ☆196Updated last year
- PET: Optimizing Tensor Programs with Partially Equivalent Transformations and Automated Corrections☆117Updated 2 years ago
- Development repository for the Triton-Linalg conversion☆168Updated last month
- DietCode Code Release☆61Updated 2 years ago
- An unofficial cuda assembler, for all generations of SASS, hopefully :)☆79Updated last year
- Compiler Infrastructure for Neural Networks☆145Updated last year
- examples for tvm schedule API☆98Updated last year
- play gemm with tvm☆85Updated last year
- heterogeneity-aware-lowering-and-optimization☆254Updated last year
- SparseTIR: Sparse Tensor Compiler for Deep Learning☆133Updated last year
- Automatic Mapping Generation, Verification, and Exploration for ISA-based Spatial Accelerators☆106Updated 2 years ago
- The quantitative performance comparison among DL compilers on CNN models.☆75Updated 4 years ago
- Efficient operation implementation based on the Cambricon Machine Learning Unit (MLU) .☆108Updated last week
- Assembler for NVIDIA Volta and Turing GPUs☆204Updated 3 years ago
- A home for the final text of all TVM RFCs.☆101Updated 4 months ago