/// Create a Shape Inference pass. std::unique_ptr<mlir::Pass> mlir::toy::createShapeInferencePass() { return std::make_unique<ShapeInferencePass>(); } ShapeInferencePass继承了FunctionPass,重写其runOnFunction()接口,实现
在MLIR中是基于表达式匹配和重写来完成MLIR表达式变形的。这个教程中分别介绍使用C++模板匹配和重写以及基于DRR框架(https://mlir.llvm.org/docs/DeclarativeRewrites/)来定义表达式重写规则,然后使用ODS框架来自动生成代码。 使用C++模式匹配和重写的方法优化转置(Transpose)操作 这里的目标是要消除两个具有相互抵消效果的转...
std::unique_ptr<mlir::Pass> createConvOptONNXToONNXPass( std::unique_ptr<mlir::Pass> onnx_mlir::createConvOptONNXToONNXPass( bool enableSimdDataLayoutOpt) { return std::make_unique<ConvOptONNXToONNXPass>(enableSimdDataLayoutOpt); } } // namespace onnx_mlir 15 changes: 15 additions & ...
但要入门MLIR掌握这些Pass实现的技巧是有必要的。我在从零开始学习深度学习编译器的过程中维护了一个project:https:///BBuf/tvm_mlir_learn ,主要是记录学习笔记以及一些实验性代码,目前已经获得了150+ star,对深度学习编译器感兴趣的小伙伴可以看一下,能点个star就更受宠若惊了。 前言 在【从零开始学...
Aside: The MLIR docs more formally describe what is required of an OperationPass, and in particular it limits the “anchoring” to specific operations like functions and modules, the insides of which are isolated from modifying the semantics of the program outside of the operation’s scope. Tha...
IntrusiveRefCntPtr<llvm::vfs::FileSystem>, std::unique_ptr<llvm::raw_pwrite_stream, std::default_delete<llvm::raw_pwrite_stream>>, clang::BackendConsumer*) (/usr/bin/../lib/libclang-cpp.so.20.0git+0x1521db2) #14 0x0000724923b1f1f1 clang::BackendConsumer::HandleTranslationUnit(clang::...
std::unique_ptr<mlir::Pass> createConvOptONNXToONNXPass( std::unique_ptr<mlir::Pass> onnx_mlir::createConvOptONNXToONNXPass( bool enableSimdDataLayoutOpt) { return std::make_unique<ConvOptONNXToONNXPass>(enableSimdDataLayoutOpt); } } // namespace onnx_mlir 15 changes: 15 additions & ...
Diversity 2019, 11, 47 8 of 11 Theoretical detection distances could also be calculated based on the measurement of sound pressures of call emissions, spreading loss, and atmospheric transmission functions [32]; however, this approach needs the microphone to be highly precisely calibrated, so it ...