refactor: Upgrade bazel and move to MODULE.bazel

Signed-off-by: Naren Dasan <[email protected]>
Signed-off-by: Naren Dasan <[email protected]>

Author: Naren Dasan

.bazelrc

@@ -20,10 +20,11 @@
 # +------------------------------------------------------------+
 # | Build Configurations                                       |
 # +------------------------------------------------------------+
-# Enable colorful output of GCC
-build:default --cxxopt="-fdiagnostics-color=always"
-build:default --cxxopt='-std=c++17'
-#build:default --linkopt="-Wl,--no-as-needed"
+
+common --enable_platform_specific_config
+
+build:linux --cxxopt="-std=c++17"
+build:linux --cxxopt="-fdiagnostics-color=always"
 
 build:windows --cxxopt="/GS-" --cxxopt="/std:c++17" --cxxopt="/permissive-"
 build:windows --cxxopt="/wd4244" --cxxopt="/wd4267" --cxxopt="/wd4819"

.bazelversion

@@ -1 +1 @@
-6.3.2
+7.2.1

WORKSPACE renamed to MODULE.bazel

@@ -1,44 +1,25 @@
-workspace(name = "Torch-TensorRT")
-
-load("@bazel_tools//tools/build_defs/repo:http.bzl", "http_archive")
-
-http_archive(
-    name = "rules_python",
-    sha256 = "863ba0fa944319f7e3d695711427d9ad80ba92c6edd0b7c7443b84e904689539",
-    strip_prefix = "rules_python-0.22.0",
-    url = "https://github.com/bazelbuild/rules_python/releases/download/0.22.0/rules_python-0.22.0.tar.gz",
-)
-
-load("@rules_python//python:repositories.bzl", "py_repositories")
-
-py_repositories()
-
-http_archive(
-    name = "rules_pkg",
-    sha256 = "8f9ee2dc10c1ae514ee599a8b42ed99fa262b757058f65ad3c384289ff70c4b8",
-    urls = [
-        "https://mirror.bazel.build/github.com/bazelbuild/rules_pkg/releases/download/0.9.1/rules_pkg-0.9.1.tar.gz",
-        "https://github.com/bazelbuild/rules_pkg/releases/download/0.9.1/rules_pkg-0.9.1.tar.gz",
-    ],
+module(
+    name = "torch_tensorrt",
+    version = "2.5.0a0",
+    repo_name = "org_pytorch_tensorrt",
 )
 
-load("@rules_pkg//:deps.bzl", "rules_pkg_dependencies")
+bazel_dep(name = "googletest", version = "1.14.0")
+bazel_dep(name = "platforms", version = "0.0.10")
+bazel_dep(name = "rules_cc", version = "0.0.9")
+bazel_dep(name = "rules_python", version = "0.34.0")
+bazel_dep(name = "rules_pkg", version = "1.0.1")
 
-rules_pkg_dependencies()
-
-http_archive(
-    name = "googletest",
-    sha256 = "755f9a39bc7205f5a0c428e920ddad092c33c8a1b46997def3f1d4a82aded6e1",
-    strip_prefix = "googletest-5ab508a01f9eb089207ee87fd547d290da39d015",
-    urls = ["https://github.com/google/googletest/archive/5ab508a01f9eb089207ee87fd547d290da39d015.zip"],
-)
+local_repository = use_repo_rule("@bazel_tools//tools/build_defs/repo:local.bzl", "local_repository")
 
 # External dependency for torch_tensorrt if you already have precompiled binaries.
 local_repository(
     name = "torch_tensorrt",
     path = "/opt/conda/lib/python3.8/site-packages/torch_tensorrt",
 )
 
+new_local_repository = use_repo_rule("@bazel_tools//tools/build_defs/repo:local.bzl", "new_local_repository")
+
 # CUDA should be installed on the system locally
 new_local_repository(
     name = "cuda",
@@ -52,6 +33,8 @@ new_local_repository(
     path = "C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v12.4/",
 )
 
+http_archive = use_repo_rule("@bazel_tools//tools/build_defs/repo:http.bzl", "http_archive")
+
 #############################################################################################################
 # Tarballs and fetched dependencies (default - use in cases when building from precompiled bin and tarballs)
 #############################################################################################################
@@ -129,18 +112,3 @@ http_archive(
 #   path = "/usr/",
 #   build_file = "@//third_party/tensorrt/local:BUILD"
 #)
-
-#########################################################################
-# Development Dependencies (optional - comment out on aarch64)
-#########################################################################
-
-load("@rules_python//python:pip.bzl", "pip_parse")
-
-pip_parse(
-    name = "devtools_deps",
-    requirements = "//:requirements-dev.txt",
-)
-
-load("@devtools_deps//:requirements.bzl", "install_deps")
-
-install_deps()

MODULE.bazel.lock

@@ -9,5 +9,5 @@ wget https://github.com/bazelbuild/bazelisk/releases/download/v1.17.0/bazelisk-l
 
 export TORCH_BUILD_NUMBER=$(python -c "import torch, urllib.parse as ul; print(ul.quote_plus(torch.__version__))")
 
-cat toolchains/ci_workspaces/WORKSPACE.x86_64.release.rhel.tmpl | envsubst > WORKSPACE
+cat toolchains/ci_workspaces/MODULE.bazel.tmpl | envsubst > MODULE.bazel
 export CI_BUILD=1

packaging/pre_build_script.sh

@@ -8,11 +8,11 @@ pip install tensorrt==${TRT_VERSION} tensorrt-${CU_VERSION::4}-bindings==${TRT_V
 
 choco install bazelisk -y
 
-curl -Lo TensorRT.zip https://developer.download.nvidia.com/compute/machine-learning/tensorrt/10.0.1/zip/TensorRT-10.0.1.6.Windows10.win10.cuda-12.4.zip
-unzip -o TensorRT.zip -d C:/
+#curl -Lo TensorRT.zip https://developer.download.nvidia.com/compute/machine-learning/tensorrt/10.0.1/zip/TensorRT-10.0.1.6.Windows10.win10.cuda-12.4.zip
+#unzip -o TensorRT.zip -d C:/
 
 export CUDA_HOME="$(echo ${CUDA_PATH} | sed -e 's#\\#\/#g')"
 
-cat toolchains/ci_workspaces/WORKSPACE.win.release.tmpl | envsubst > WORKSPACE
+cat toolchains/ci_workspaces/MODULE.bazel.tmpl | envsubst > MODULE.bazel
 
 echo "RELEASE=1" >> ${GITHUB_ENV}

packaging/pre_build_script_windows.sh

@@ -202,7 +202,7 @@ def build_libtorchtrt_pre_cxx11_abi(
     if IS_WINDOWS:
         cmd.append("--config=windows")
     else:
-        cmd.append("--config=default")
+        cmd.append("--config=linux")
 
     if JETPACK_VERSION == "4.5":
         cmd.append("--platforms=//toolchains:jetpack_4.5")
@@ -482,6 +482,23 @@ def run(self):
 package_data = {}
 
 if not (PY_ONLY or NO_TS):
+    tensorrt_linux_external_dir = (
+        lambda: subprocess.check_output(
+            ["bazel", "query", "@tensorrt//:nvinfer", "--output", "location"]
+        )
+        .decode("ascii")
+        .strip()
+        .split("/BUILD.bazel")[0]
+    )
+    tensorrt_windows_external_dir = (
+        lambda: subprocess.check_output(
+            ["bazel", "query", "@tensorrt_win//:nvinfer", "--output", "location"]
+        )
+        .decode("ascii")
+        .strip()
+        .split("/BUILD.bazel")[0]
+    )
+
     ext_modules += [
         CUDAExtension(
             "torch_tensorrt._C",
@@ -513,13 +530,15 @@ def run(self):
                         + "/../bazel-Torch-TensorRT/external/tensorrt_win/include",
                         dir_path + "/../bazel-TensorRT/external/tensorrt_win/include",
                         dir_path + "/../bazel-tensorrt/external/tensorrt_win/include",
+                        f"{tensorrt_windows_external_dir()}/include",
                     ]
                     if IS_WINDOWS
                     else [
                         dir_path + "/../bazel-TRTorch/external/tensorrt/include",
                         dir_path + "/../bazel-Torch-TensorRT/external/tensorrt/include",
                         dir_path + "/../bazel-TensorRT/external/tensorrt/include",
                         dir_path + "/../bazel-tensorrt/external/tensorrt/include",
+                        f"{tensorrt_linux_external_dir()}/include",
                     ]
                 )
             ),