Use python to invoke docker commands indirectly

.github/workflows/build.py

@@ -0,0 +1,26 @@
+import subprocess, sys, os
+
+path = os.getcwd()
+with subprocess.Popen(
+        [
+            "docker",
+            "run",
+            "-e",
+            "TF_PYTHON_VERSION=3.9",
+            "-v",
+            f"{path}:/v",
+            "-w",
+            "/v",
+            "--net=host",
+            "--entrypoint=/bin/bash",
+            "gcr.io/tensorflow-testing/nosla-cuda12.0.1-cudnn8.8-ubuntu20.04-manylinux2014-multipython",
+            "-x",
+            "-e",
+            ".github/workflows/build.bazel.sh",
+            "python3.9",
+        ],
+        stdout=subprocess.PIPE,
+        stderr=subprocess.STDOUT,
+    ) as process:
+        for line in process.stdout:
+            print(line.decode().strip())

.github/workflows/build.yml

@@ -308,7 +308,8 @@ jobs:
             export BAZEL_OPTIMIZATION="$BAZEL_OPTIMIZATION --remote_upload_local_results=true --google_credentials=service_account_creds.json"
           fi
           #docker run -e TF_PYTHON_VERSION=3.9 -v $PWD:/v -w /v --net=host quay.io/pypa/manylinux2014_x86_64 bash -x .github/workflows/build.bazel.sh python3.9
-          docker run -e TF_PYTHON_VERSION=3.9 -v $PWD:/v -w /v --net=host --entrypoint=/bin/bash gcr.io/tensorflow-testing/nosla-cuda12.0.1-cudnn8.8-ubuntu20.04-manylinux2014-multipython -x -e .github/workflows/build.bazel.sh python3.9
+          #docker run -e TF_PYTHON_VERSION=3.9 -v $PWD:/v -w /v --net=host --entrypoint=/bin/bash gcr.io/tensorflow-testing/nosla-cuda12.0.1-cudnn8.8-ubuntu20.04-manylinux2014-multipython -x -e .github/workflows/build.bazel.sh python3.9
+          python3 .github/workflows/build.py
           sudo cp .bazelrc build/tensorflow_io/
           sudo chown -R $(id -nu):$(id -ng) .
       - uses: actions/upload-artifact@a8a3f3ad30e3422c9c7b888a15615d19a852ae32 # v3.1.3