//  noutputs - number of elements in `outputs` array
//  outputs - array of TF_Outputs that specify the outputs of the function.
//            If `noutputs` is zero (the function returns no outputs), `outputs`
//            can be null. `outputs` can contain the same tensor more than once.
//  output_names - The names of the function's outputs. `output_names` array

  output_tensors->reserve(noutputs);
  for (int i = 0; i < noutputs; ++i) {
    Node* node = outputs[i].oper ? &outputs[i].oper->node : nullptr;
    int idx = outputs[i].index;
    TF_RETURN_WITH_CONTEXT_IF_ERROR(
        fn_body->graph.IsValidOutputTensor(node, idx),
        "Encountered while processing output ", i, " from function '", fn_name,
        "'");
    TF_RETURN_WITH_CONTEXT_IF_ERROR(ValidateNonRefOutput(node, idx),

                // input related parameters
                /*inputs*/ nullptr, /*input_values*/ nullptr, /*ninputs*/ 0,
                // output related parameters
                /*outputs*/ &output, /*output_values*/ &ret,
                /*noutputs*/ 1,
                /*targets*/ nullptr, /*ntargets*/ 0,
                /*run_metadata*/ nullptr, status);
  if (VLOG_IS_ON(1) && status->status.ok()) {
    tensorflow::Tensor tensor;

        type: string
        required: false
        default: ""

env:
  UV_SYSTEM_PYTHON: 1

jobs:
  langs:
    runs-on: ubuntu-latest
    outputs:
      langs: ${{ steps.show-langs.outputs.langs }}
      commands: ${{ steps.show-langs.outputs.commands }}
    steps:
      - uses: actions/checkout@v6
      - name: Set up Python
        uses: actions/setup-python@v6
        with:

        this.id = id;
        this.inputs = inputs;
        this.outputs = outputs;

        if (id == 0) {
            // create
            newInputs = inputs;
            newOutputs = outputs;
        }
    }

    /**
     * Gets the new input words.
     * Returns a defensive copy to prevent external modification.
     *

        committer: TensorFlow Release Automation <******@****.***>
        token: ${{ secrets.JENKINS_TOKEN }}
        base: ${{ github.event.inputs.release_branch }}
        branch: ${{ github.event.inputs.release_branch }}-${{ steps.cherrypick.outputs.SHORTSHA }}
        reviewers: learning-to-play
        body: |

env:
  UV_SYSTEM_PYTHON: 1

jobs:
  changes:
    runs-on: ubuntu-latest
    # Required permissions
    permissions:
      pull-requests: read
    # Set job outputs to values from filter step
    outputs:
      docs: ${{ steps.filter.outputs.docs }}
    steps:
    - uses: actions/checkout@v6
    # For pull requests it's not necessary to checkout the code but for the main branch it is
    - uses: dorny/paths-filter@v3

	if [[ $? -eq 0 ]]; then
		echo "Outputs are consistent."
		break
	fi

	remaining_attempts=$((max_wait_attempts - attempt))
	if ((attempt >= max_wait_attempts)); then
		echo "Outputs remain inconsistent after $max_wait_attempts attempts. Exiting with error."
		exit 1
	else
		echo "Outputs are inconsistent. Waiting for $wait_interval seconds (attempt $attempt/$max_wait_attempts)."

                                    <label for="outputs" class="col-sm-3 text-sm-right col-form-label"><la:message
                                            key="labels.dict_synonym_target"/></label>
                                    <div class="col-sm-9">
                                        <la:errors property="outputs"/>
                                        <la:textarea styleId="outputs" property="outputs" rows="5"

      with:
        output: ' '
    - name: Report list of changed files
      run: |
        echo Changed files: ${{ steps.get_file_changes.outputs.files }}
    - name: Set up Python 3.9
      uses: actions/setup-python@83679a892e2d95755f2dac6acb0bfd1e9ac5d548 # v6.1.0
      with:
        python-version: "3.9"
    - name: Install Python dependencies
      run: |