graph and a small dataset • Finds suitable quantization scale • Produces a quantized graph • Compiling Pre-quantized models – QNN Dialect • TVM ingests a pre-quantized graph in TFLite or MxNet • Use

`exercise` package 3. exercise/ディレクトリに移動し、cargo run でバイナリをビルドして実行： $ cd exercise $ cargo run Compiling exercise v0.1.0 (/home/mgeisler/tmp/exercise) Finished dev [unoptimized + debuginfo] target(s) in は以下のようになります。 fn main() { println!("Edit me!"); } 5. cargo run で更新されたバイナリをビルドして実行： $ cargo run Compiling exercise v0.1.0 (/home/mgeisler/tmp/exercise) Finished dev [unoptimized + debuginfo] target(s) in

guided optimization Profile guided optimization is something else though. It is a special way of compiling and linking, that the compiler and linker use profiling information to know how best to optimize It makes debugging and testing new code in the application itself difficult. What is more, just compiling and running the entire application to check a one-line change in a small class is very time-consuming