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tvm_mlir_learn's Introduction

tvm_mlir_learn

preoject introduction

  • scheduler TVM 中 scheduler 详细举例，这里将 https://zhuanlan.zhihu.com/p/94846767 这篇文章的例子用TVM 0.8.0.dev 重写。
  • dataflow_controlflow 数据流和控制流的区别示例，这里是Pytorch为例子。
  • paper_reading 编译器方面的一些论文阅读，如 PET / Ansor/ MLIR 等。
  • relay TVM 中一些 Relay 相关的示例，比如如何自定义 Pass，如何在 Jetson Nano 中运行DarkNet的YOLO模型等。
  • codegen TVM 中 Codegen 相关示例，基于张量表达式和Relay IR。
  • torchscript Pytorch的TorchScript的用法。
  • compile_tvm_in_docker.md 。在Docker中编译TVM。
  • tvm_pytorch_resnet18_inference.py 使用 TVM 在 X86 CPU 上运行 Pytorch 的 ResNet18 模型。
  • tvm_onnx_resnet18_inference.py TVM 加载 ResNet18 的 ONNX 模型进行推理。
  • pytorch_resnet18_export_onnx.py Pytorch 导出 ResNet18 的 ONNX 模型示例。
  • optimize_gemm 让深度学习编译器来指导我们写代码，以GEMM为例。

video collection

LLVM 系列视频对应的源码在：https://github.com/lac-dcc/llvm-course

learning note

其它博客精选（TVM&MLIR 相关）

TVM 自底向上专题-来自知乎Kord

系统性的专栏

工具介绍

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