build: update ODS and shape library when updating PyTorch (llvm#1450)

Updating the PyTorch version may break the Torch-MLIR build, as it did
recently, since the PyTorch update caused the shape library to change,
but the shape library was not updated in the commit for updating
PyTorch.

This patch introduces a new default-off environment variable to the
build_linux_packages.sh script called `TM_UPDATE_ODS_AND_SHAPE_LIB`
which instructs the script to run the update_torch_ods.sh and
update_shape_lib.sh scripts.

However, running these scripts requires an in-tree build and the tests
that run for an in-tree build of Torch-MLIR are more comprehensive than
those that run for an out-of-tree build, so this patch also swaps out
the out-of-tree build for an in-tree build.

.github/workflows/RollPyTorch.yml

@@ -44,13 +44,14 @@ jobs:
         echo "PT_RELEASE=${PT_RELEASE}" >> ${GITHUB_ENV}
         echo "PT_HASH_CHANGED=${PT_HASH_CHANGED}" >> ${GITHUB_ENV}
 
-    - name: Build and test
+    - name: Build and test (in-tree), also update ODS and shape library
       if: env.PT_HASH_CHANGED != '0'
       run: |
         cd ${GITHUB_WORKSPACE}
-        TM_PACKAGES="out-of-tree" TM_USE_PYTORCH_BINARY="OFF" \
+        TM_PACKAGES="in-tree" TM_USE_PYTORCH_BINARY="OFF" \
         TORCH_MLIR_SRC_PYTORCH_BRANCH="${{ env.PT_HASH }}" \
         TORCH_MLIR_SRC_PYTORCH_RELEASE="${{ env.PT_RELEASE }}" \
+        TM_UPDATE_ODS_AND_SHAPE_LIB="ON" \
         ./build_tools/python_deploy/build_linux_packages.sh
 
     - name: Push changes to main branch
@@ -61,5 +62,5 @@ jobs:
         git config user.name "Roll PyTorch Action"
         git fetch --recurse-submodules=no
         git checkout main
-        git add pytorch-version.txt pytorch-requirements.txt
+        git add pytorch-version.txt pytorch-requirements.txt lib/Dialect/Torch/Transforms/ShapeLibrary.cpp include/torch-mlir/Dialect/Torch/IR/GeneratedTorchOps.td
         git diff --cached --exit-code || (git commit -m "update PyTorch version to ${{ env.PT_RELEASE }}" && git push --set-upstream origin main)

build_tools/python_deploy/build_linux_packages.sh

@@ -53,6 +53,8 @@ TM_PACKAGES="${TM_PACKAGES:-torch-mlir}"
 TM_USE_PYTORCH_BINARY="${TM_USE_PYTORCH_BINARY:-ON}"
 # Skip running tests if you want quick iteration
 TM_SKIP_TESTS="${TM_SKIP_TESTS:-OFF}"
+# Update ODS and shape library files
+TM_UPDATE_ODS_AND_SHAPE_LIB="${TM_UPDATE_ODS_AND_SHAPE_LIB:-OFF}"
 
 PKG_VER_FILE="${repo_root}"/torch_mlir_package_version ; [ -f "$PKG_VER_FILE" ] && . "$PKG_VER_FILE"
 TORCH_MLIR_PYTHON_PACKAGE_VERSION="${TORCH_MLIR_PYTHON_PACKAGE_VERSION:-0.0.1}"
@@ -109,6 +111,7 @@ function run_on_host() {
     -e "TM_PYTHON_VERSIONS=${TM_PYTHON_VERSIONS}" \
     -e "TM_PACKAGES=${package}" \
     -e "TM_SKIP_TESTS=${TM_SKIP_TESTS}" \
+    -e "TM_UPDATE_ODS_AND_SHAPE_LIB=${TM_UPDATE_ODS_AND_SHAPE_LIB}" \
     -e "TM_USE_PYTORCH_BINARY=${TM_USE_PYTORCH_BINARY}" \
     -e "TORCH_MLIR_SRC_PYTORCH_REPO=${TORCH_MLIR_SRC_PYTORCH_REPO}" \
     -e "TORCH_MLIR_SRC_PYTORCH_BRANCH=${TORCH_MLIR_SRC_PYTORCH_BRANCH}" \
@@ -152,6 +155,10 @@ function run_in_docker() {
         in-tree)
           setup_venv "$python_version"
           build_in_tree "$TM_USE_PYTORCH_BINARY" "$python_version"
+          if [ "${TM_UPDATE_ODS_AND_SHAPE_LIB}" == "ON" ]; then
+            ./build_tools/update_torch_ods.sh
+            ./build_tools/update_shape_lib.sh
+          fi
           if [ "${TM_SKIP_TESTS}" == "OFF" ]; then
             test_in_tree;
           fi