[Documentation] Show faster build command first in docs/development.md (#3355)

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Xida Ren (Cedar) 2024-05-17 14:59:51 -04:00 committed by GitHub
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@ -53,6 +53,42 @@ Two setups are possible to build: in-tree and out-of-tree. The in-tree setup is
The following command generates configuration files to build the project *in-tree*, that is, using llvm/llvm-project as the main build. This will build LLVM as well as torch-mlir and its subprojects. On Windows, use the "Developer PowerShell for Visual Studio" to ensure that the compiler and linker binaries are in the `PATH` variable. The following command generates configuration files to build the project *in-tree*, that is, using llvm/llvm-project as the main build. This will build LLVM as well as torch-mlir and its subprojects. On Windows, use the "Developer PowerShell for Visual Studio" to ensure that the compiler and linker binaries are in the `PATH` variable.
This requires `lld`, `clang`, `ccache`, and other dependencies for building `libtorch` / `PyTorch` wheels from source. If you run into issues because of these, try the [simplified build command](#simplified-build).
```shell
cmake -GNinja -Bbuild \
externals/llvm-project/llvm \
-DCMAKE_BUILD_TYPE=Release \
-DLLVM_ENABLE_ASSERTIONS=ON \
-DPython3_FIND_VIRTUALENV=ONLY \
-DLLVM_ENABLE_PROJECTS=mlir \
-DLLVM_EXTERNAL_PROJECTS="torch-mlir" \
-DLLVM_EXTERNAL_TORCH_MLIR_SOURCE_DIR="$PWD" \
-DMLIR_ENABLE_BINDINGS_PYTHON=ON \
-DLLVM_TARGETS_TO_BUILD=host \
`# use clang`\
-DCMAKE_C_COMPILER=clang -DCMAKE_CXX_COMPILER=clang++ \
`# use ccache to cache build results` \
-DCMAKE_C_COMPILER_LAUNCHER=ccache -DCMAKE_CXX_COMPILER_LAUNCHER=ccache \
`# use LLD to link in seconds, rather than minutes` \
`# if using clang <= 13, replace --ld-path=lld with -fuse-ld=lld` \
-DCMAKE_EXE_LINKER_FLAGS_INIT="--ld-path=lld" \
-DCMAKE_MODULE_LINKER_FLAGS_INIT="--ld-path=lld" \
-DCMAKE_SHARED_LINKER_FLAGS_INIT="--ld-path=lld" \
`# Enabling libtorch binary cache instead of downloading the latest libtorch everytime.` \
`# Testing against a mismatched version of libtorch may cause failures` \
-DLIBTORCH_CACHE=ON \
`# Enable an experimental path to build libtorch (and PyTorch wheels) from source,` \
`# instead of downloading them` \
-DLIBTORCH_SRC_BUILD=ON \
`# Set the variant of libtorch to build / link against. (shared|static and optionally cxxabi11)` \
-DLIBTORCH_VARIANT=shared
```
# Simplified build
If you're running into issues with the above build command, consider using the following:
```shell ```shell
cmake -GNinja -Bbuild \ cmake -GNinja -Bbuild \
-DCMAKE_BUILD_TYPE=Release \ -DCMAKE_BUILD_TYPE=Release \
@ -64,32 +100,6 @@ cmake -GNinja -Bbuild \
-DLLVM_TARGETS_TO_BUILD=host \ -DLLVM_TARGETS_TO_BUILD=host \
externals/llvm-project/llvm externals/llvm-project/llvm
``` ```
#### Flags that can reduce build time:
* Enabling clang on Linux
```shell
-DCMAKE_C_COMPILER=clang -DCMAKE_CXX_COMPILER=clang++
```
* Enabling ccache
```shell
-DCMAKE_C_COMPILER_LAUNCHER=ccache -DCMAKE_CXX_COMPILER_LAUNCHER=ccache
```
* Enabling LLD (links in seconds compared to minutes)
```shell
-DCMAKE_EXE_LINKER_FLAGS_INIT="-fuse-ld=lld" -DCMAKE_MODULE_LINKER_FLAGS_INIT="-fuse-ld=lld" -DCMAKE_SHARED_LINKER_FLAGS_INIT="-fuse-ld=lld"
# Use --ld-path= instead of -fuse-ld=lld for clang > 13
```
* Enabling libtorch binary cache
By default we download the latest version of libtorch everytime you build so we are always on the latest version. Set `-DLIBTORCH_CACHE=ON` to
not download the latest version everytime. If libtorch gets out of date and you test against a newer PyTorch you may notice failures.
```shell
-DLIBTORCH_CACHE=ON
```
* Enabling building libtorch as part of your build
By default we download the latest version of libtorch. We have an experimental path to build libtorch (and PyTorch wheels) from source.
```shell
-DLIBTORCH_SRC_BUILD=ON # Build Libtorch from source
-DLIBTORCH_VARIANT=shared # Set the variant of libtorch to build / link against. (`shared`|`static` and optionally `cxxabi11`)
```
#### Flags to enable MLIR debugging: #### Flags to enable MLIR debugging: