uwsampl / tutorial
A self-contained version of the tutorial which can be easily cloned and viewed by others.
☆24Updated 5 years ago
Alternatives and similar repositories for tutorial:
Users that are interested in tutorial are comparing it to the libraries listed below
- Chameleon: Adaptive Code Optimization for Expedited Deep Neural Network Compilation☆27Updated 5 years ago
- System for automated integration of deep learning backends.☆48Updated 2 years ago
- Benchmark scripts for TVM☆73Updated 2 years ago
- This is the implementation for paper: AdaTune: Adaptive Tensor Program CompilationMade Efficient (NeurIPS 2020).☆13Updated 3 years ago
- The quantitative performance comparison among DL compilers on CNN models.☆75Updated 4 years ago
- tophub autotvm log collections☆70Updated 2 years ago
- TVM stack: exploring the incredible explosion of deep-learning frameworks and how to bring them together☆64Updated 6 years ago
- A home for the final text of all TVM RFCs.☆102Updated 4 months ago
- DietCode Code Release☆61Updated 2 years ago
- Benchmark PyTorch Custom Operators☆13Updated last year
- Automatic Schedule Exploration and Optimization Framework for Tensor Computations☆176Updated 2 years ago
- ☆87Updated 10 months ago
- [MLSys 2021] IOS: Inter-Operator Scheduler for CNN Acceleration☆197Updated 2 years ago
- ☆92Updated 2 years ago
- ☆36Updated 2 years ago
- PyTorch extension for emulating FP8 data formats on standard FP32 Xeon/GPU hardware.☆105Updated 2 months ago
- Automatic Mapping Generation, Verification, and Exploration for ISA-based Spatial Accelerators☆107Updated 2 years ago
- ☆42Updated 4 years ago
- An extention of TVMScript to write simple and high performance GPU kernels with tensorcore.☆51Updated 6 months ago
- ☆69Updated last year
- Artifact repository for paper Automatic Generation of High-Performance Quantized Machine Learning Kernels☆17Updated 4 years ago
- ☆15Updated 3 years ago
- SparseTIR: Sparse Tensor Compiler for Deep Learning☆134Updated last year
- Benchmark for matrix multiplications between dense and block sparse (BSR) matrix in TVM, blocksparse (Gray et al.) and cuSparse.☆24Updated 4 years ago
- ☆141Updated 3 weeks ago
- ☆23Updated 2 months ago
- ParaDnn: A systematic performance analysis methodology for deep learning.☆39Updated 4 years ago
- Benchmark code for the "Online normalizer calculation for softmax" paper☆66Updated 6 years ago
- Official implementation of "Searching for Winograd-aware Quantized Networks" (MLSys'20)☆27Updated last year
- PET: Optimizing Tensor Programs with Partially Equivalent Transformations and Automated Corrections☆117Updated 2 years ago