chore: import upstream snapshot with attribution

ci/scripts/package/README.md

@@ -0,0 +1,31 @@
+<!--- Licensed to the Apache Software Foundation (ASF) under one -->
+<!--- or more contributor license agreements.  See the NOTICE file -->
+<!--- distributed with this work for additional information -->
+<!--- regarding copyright ownership.  The ASF licenses this file -->
+<!--- to you under the Apache License, Version 2.0 (the -->
+<!--- "License"); you may not use this file except in compliance -->
+<!--- with the License.  You may obtain a copy of the License at -->
+
+<!---   http://www.apache.org/licenses/LICENSE-2.0 -->
+
+<!--- Unless required by applicable law or agreed to in writing, -->
+<!--- software distributed under the License is distributed on an -->
+<!--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY -->
+<!--- KIND, either express or implied.  See the License for the -->
+<!--- specific language governing permissions and limitations -->
+<!--- under the License. -->
+
+# TVM wheel packaging
+
+The wheels are built by a standard `cibuildwheel` flow, configured in
+`.github/workflows/publish_wheel.yml` and `pyproject.toml` (`[tool.cibuildwheel]`
+and `[tool.scikit-build]`). This directory holds the few helper scripts that flow
+invokes:
+
+- `manylinux_build_libtvm_runtime_cuda.sh` — run by the `build_cuda_runtime` CI
+  stage; builds the `libtvm_runtime_cuda.so` sidecar inside the prebuilt
+  `quay.io/manylinux_cuda` image (CUDA toolkit preinstalled).
+- `windows_build_libtvm_runtime_cuda.bat` — the Windows equivalent (run with
+  `shell: cmd`); installs the CUDA toolkit via conda and builds
+  `tvm_runtime_cuda.dll`.
+- `build-environment.yaml` — conda environment for building the wheel.