[Split Build] Add split build to binary build generation

.github/workflows/generate_binary_build_matrix.yml

@@ -43,6 +43,14 @@ on:
         description: "Generate binary build matrix for a python only package (i.e. only one python version)"
         default: "disable"
         type: string
+      use_split_build:
+        description: |
+          [Experimental] Build a libtorch only wheel and build pytorch such that
+          are built from the libtorch wheel.
+        required: false
+        type: boolean
+        default: false
+
     outputs:
       matrix:
         description: "Generated build matrix"
@@ -79,6 +87,7 @@ jobs:
           # In cases when pipy binaries are not published yet.
           USE_ONLY_DL_PYTORCH_ORG: ${{ inputs.use-only-dl-pytorch-org }}
           BUILD_PYTHON_ONLY: ${{ inputs.build-python-only }}
+          USE_SPLIT_BUILD: ${{ inputs.use_split_build }}
         run: |
           set -eou pipefail
           MATRIX_BLOB="$(python3 tools/scripts/generate_binary_build_matrix.py)"

tools/scripts/generate_binary_build_matrix.py

@@ -287,8 +287,13 @@ def get_wheel_install_command(
     desired_cuda: str,
     python_version: str,
     use_only_dl_pytorch_org: bool,
+    use_split_build: bool = False,
 ) -> str:
-
+    if use_split_build:
+        if (gpu_arch_version in ["11.8", "12.1", "12.4"]) and (os == LINUX) and (channel == "nightly"):
+            return f"{WHL_INSTALL_BASE} {PACKAGES_TO_INSTALL_WHL} --index-url {get_base_download_url_for_repo('whl', channel, gpu_arch_type, desired_cuda)}_pypi_pkg"
+        else:
+            raise ValueError("Split build is not supported for this configuration. It is only supported for CUDA 11.8, 12.1, 12.4 on Linux nightly builds.")
     if  channel == RELEASE and (not use_only_dl_pytorch_org) and (
         (gpu_arch_version == "12.1" and os == LINUX)
         or (
@@ -315,6 +320,7 @@ def generate_conda_matrix(
     with_cpu: str,
     limit_pr_builds: bool,
     use_only_dl_pytorch_org: bool,
+    use_split_build: bool = False,
 ) -> List[Dict[str, str]]:
     ret: List[Dict[str, str]] = []
     python_versions = list(PYTHON_ARCHES)
@@ -370,6 +376,7 @@ def generate_libtorch_matrix(
     with_cpu: str,
     limit_pr_builds: bool,
     use_only_dl_pytorch_org: bool,
+    use_split_build: bool = False,
     abi_versions: Optional[List[str]] = None,
     arches: Optional[List[str]] = None,
     libtorch_variants: Optional[List[str]] = None,
@@ -458,6 +465,7 @@ def generate_wheels_matrix(
     with_cpu: str,
     limit_pr_builds: bool,
     use_only_dl_pytorch_org: bool,
+    use_split_build: bool = False,
     arches: Optional[List[str]] = None,
     python_versions: Optional[List[str]] = None,
 ) -> List[Dict[str, str]]:
@@ -511,8 +519,7 @@ def generate_wheels_matrix(
             )
 
             desired_cuda = translate_desired_cuda(gpu_arch_type, gpu_arch_version)
-            ret.append(
-                {
+            entry = {
                     "python_version": python_version,
                     "gpu_arch_type": gpu_arch_type,
                     "gpu_arch_version": gpu_arch_version,
@@ -535,8 +542,17 @@ def generate_wheels_matrix(
                     "channel": channel,
                     "upload_to_base_bucket": upload_to_base_bucket,
                     "stable_version": CURRENT_VERSION,
+                    "use_split_build": False,
                 }
-            )
+            ret.append(entry)
+            if use_split_build:
+                entry = entry.copy()
+                entry["build_name"] = f"{package_type}-py{python_version}-{gpu_arch_type}{gpu_arch_version}-split".replace(
+                    ".", "_"
+                )
+                entry["use_split_build"] = True
+                ret.append(entry)
+
     return ret
 
 
@@ -557,6 +573,7 @@ def generate_build_matrix(
     limit_pr_builds: str,
     use_only_dl_pytorch_org: str,
     build_python_only: str,
+    use_split_build: str,
 ) -> Dict[str, List[Dict[str, str]]]:
     includes = []
 
@@ -578,6 +595,7 @@ def generate_build_matrix(
                     with_cpu,
                     limit_pr_builds == "true",
                     use_only_dl_pytorch_org == "true",
+                    use_split_build == "true",
                 )
             )
 
@@ -657,6 +675,14 @@ def main(args: List[str]) -> None:
         default=os.getenv("BUILD_PYTHON_ONLY", ENABLE),
     )
 
+    parser.add_argument(
+        "--use-split-build",
+        help="Use split build for wheel",
+        type=str,
+        choices=["true", "false"],
+        default=os.getenv("USE_SPLIT_BUILD", DISABLE),
+    )
+
     options = parser.parse_args(args)
 
     assert (
@@ -673,6 +699,7 @@ def main(args: List[str]) -> None:
         options.limit_pr_builds,
         options.use_only_dl_pytorch_org,
         options.build_python_only,
+        options.use_split_build,
     )
 
     print(json.dumps(build_matrix))