dind-port-forward.sh -> invalid resource name ? about ffdl HOT 5 OPEN

Downloading Docker images and test training data. This may take a while.
Context "dind" modified.
error: there is no need to specify a resource type as a separate argument when passing arguments in resource/name form (e.g. 'kubectl get resource/<resource_name>' instead of 'kubectl get resource resource/<resource_name>'
Submitting example training job (tf-model)
S3 URL: http://:30381 REST URL: http://localhost:31961
Executing in etc/examples/tf-model: DLAAS_URL=http://localhost:31961 DLAAS_USERNAME=test-user DLAAS_PASSWORD=test /home/chris/FfDL/cli/bin/ffdl-linux train manifest.yml .
sed: can't read : No such file or directory
name: tf_convolutional_network_tutorial
description: Convolutional network model using tensorflow
version: "1.0"
gpus: 0
cpus: 0.5
memory: 1Gb
learners: 1

# Object stores that allow the system to retrieve training data.
data_stores:
  - id: sl-internal-os
    type: mount_cos
    training_data:
      container: tf_training_data
    training_results:
      container: tf_trained_model
    connection:
      auth_url: http://10.192.0.3:30417
      user_name: test
      password: test

framework:
  name: tensorflow
  version: "1.5.0-py3"
  command: >
    python3 convolutional_network.py --trainImagesFile ${DATA_DIR}/train-images-idx3-ubyte.gz
      --trainLabelsFile ${DATA_DIR}/train-labels-idx1-ubyte.gz --testImagesFile ${DATA_DIR}/t10k-images-idx3-ubyte.gz
      --testLabelsFile ${DATA_DIR}/t10k-labels-idx1-ubyte.gz --learningRate 0.001
      --trainingIters 2000
  # Change trainingIters to 20000 if you want your model to have over 80% Accuracy rate.

evaluation_metrics:
  type: tensorboard
  in: "$JOB_STATE_DIR/logs/tb"
  # (Eventual) Available event types: 'images', 'distributions', 'histograms', 'images'
  # 'audio', 'scalars', 'tensors', 'graph', 'meta_graph', 'run_metadata'
  #  event_types: [scalars]
/home/chris/FfDL/etc/examples/tf-model
Deploying model with manifest 'manifest_testrun.yml' and model files in '.'...
Handling connection for 31961
Handling connection for 31961
FAILED
Error 200: OK

Test job submitted. Track the status via "DLAAS_URL=http://localhost:31961 DLAAS_USERNAME=test-user DLAAS_PASSWORD=test /home/chris/FfDL/cli/bin/ffdl-linux list".