test_wheel_install.sh tests installed prebuilt wheels

Author: dbort

build/test_wheel_install.sh

@@ -0,0 +1,60 @@
+#!/bin/bash
+
+set -euxo pipefail
+
+CONDA_ENV=executorch-tmp
+PYTHON_VERSION=3.10.0
+
+# Create a temp dir that we can create files under.
+WORK_DIR="$(mktemp -d /tmp/test-wheel-install-XXXXXXXXXX)"
+readonly WORK_DIR
+# trap 'rm -rf "${WORK_DIR}"' EXIT
+
+# Creates or resets a conda environment named ${CONDA_ENV}
+clean_conda() {
+  eval "$(conda shell.bash hook)"
+  conda activate base
+  conda remove -y --name "${CONDA_ENV}" --all || echo "(ignoring error)"
+  conda create -yn "${CONDA_ENV}" python="${PYTHON_VERSION}"
+  conda activate "${CONDA_ENV}"
+}
+
+test_xnnpack_e2e() {
+  # Create a .pte file that delegates to XNNPACK.
+  python3 -m examples.xnnpack.aot_compiler --model_name="mv2" --delegate
+  local pte="mv2_xnnpack_fp32.pte"
+  test -f "${pte}"
+
+  # Test python script
+  local test_py="${WORK_DIR}/test_xnnpack_e2e.py"
+  cat > "${test_py}" << HERE
+import torch
+from executorch.extension.pybindings import portable_lib
+m = portable_lib._load_for_executorch("${pte}")
+t = torch.randn((1, 3, 224, 224))
+output = m.forward([t])
+print(output)
+print("PASS")
+HERE
+  python "${test_py}"
+}
+
+main() {
+  if [ "$#" -ne 1 ]; then
+    echo "Usage: $(basename "$0") <path-to-whl-file>" >&2
+    exit 1
+  fi
+  local wheel="$1"
+
+#  clean_conda
+#
+#  # Install the deps but not the pip package.
+#  ./install_requirements.sh --deps-only
+#
+#  # Install the provided wheel.
+#  pip install "${wheel}"
+
+  test_xnnpack_e2e
+}
+
+main "$@"