Vertex AI create pipeline file content error

[anannra]

Have been trying to build a pipeline using several generic examples. Python created the following yaml file, but when I upload it into vertex ai pipeline page, I always get the following error "Invalid File Content".

apiVersion: argoproj.io/v1alpha1
kind: Workflow
metadata:
  generateName: tfrecord-processing-pipeline-
  annotations: {pipelines.kubeflow.org/kfp_sdk_version: 1.8.22, pipelines.kubeflow.org/pipeline_compilation_time: '2023-05-23T21:47:19.096627',
    pipelines.kubeflow.org/pipeline_spec: '{"inputs": [{"default": "gs://aa.bb.cc.dd/data",
      "name": "tfrecord_dir", "optional": true, "type": "String"}], "name": "TFRecord
      Processing Pipeline"}'}
  labels: {pipelines.kubeflow.org/kfp_sdk_version: 1.8.22}
spec:
  entrypoint: tfrecord-processing-pipeline
  templates:
  - name: load-tfrecord-dataset
    container:
      args:
      - "\n            import tensorflow as tf\n            file_pattern = \"{{inputs.parameters.tfrecord_dir}}\"\
        \ + '/*.block'\n            files = tf.io.gfile.glob(file_pattern)\n     \
        \       for file in files:\n                dataset = tf.data.TFRecordDataset(file)\n\
        \            "
      command: [python, -c]
      image: tensorflow/tensorflow:2.6.0
    inputs:
      parameters:
      - {name: tfrecord_dir}
    metadata:
      labels:
        pipelines.kubeflow.org/kfp_sdk_version: 1.8.22
        pipelines.kubeflow.org/pipeline-sdk-type: kfp
        pipelines.kubeflow.org/enable_caching: "true"
  - name: tfrecord-processing-pipeline
    inputs:
      parameters:
      - {name: tfrecord_dir}
    dag:
      tasks:
      - name: load-tfrecord-dataset
        template: load-tfrecord-dataset
        arguments:
          parameters:
          - {name: tfrecord_dir, value: '{{inputs.parameters.tfrecord_dir}}'}
  arguments:
    parameters:
    - {name: tfrecord_dir, value: 'gs://aa.bb.cc.dd/data'}
  serviceAccountName: pipeline-runner

 Any thoughts?