* Try Google Colab to use TensorFlow.
         * The easiest way to use TF will be to switch to [google colab](https://colab.sandbox.google.com/notebooks/welcome.ipynb#recent=true). You get pre-installed latest stable TF version. Also you can use ```pip install```  to install any other preferred TF version.

-		     : __builtin_strcspn (s, reject))))))		      \
-      : __builtin_strcspn (s, reject)); })
-#  else
-#   define strcspn(s, reject) \
-  __extension__								      \
-  ({ char __r0, __r1, __r2;						      \
-     (__builtin_constant_p (reject) && __string2_1bptr_p (reject)	      \
-      ? ((__r0 = ((const char *) (reject))[0], __r0 == '\0')		      \
-	 ? strlen (s)							      \

# limitations under the License.
# ==============================================================================


# This Workflow updates tensorflow/tools/toolchains/remote_config/configs.bzl
# to reference the most recent versions of the SIG Build Docker images.
name: Update RBE Configs
on:
  workflow_dispatch:

permissions:
  contents: read

jobs:
  rbe:
    name: Update RBE Configs
    runs-on: ubuntu-latest