# Text form of tensorflow.tf2xla.Config proto.
feed {
  id { node_name: "x_const" }
  shape {
    dim { size: 1 }
  }
}
feed {
  id { node_name: "y_reshape" }
  shape {
    dim { size: 1 }
  }
}
fetch {
  id { node_name: "x_y_sum" }

          {{- end }}
          - name: NODE_NAME
            valueFrom:
              fieldRef:
                apiVersion: v1
                fieldPath: spec.nodeName
          - name: POD_NAME
            valueFrom:
              fieldRef:
                apiVersion: v1
                fieldPath: metadata.name

// IntPerLayer-DAG: "tf.DumpTensor"(%[[output1_unquantized]]) <{enabled = true, file_name = "unquantized_tensor_data.pb", func_name = "conv", log_dir_path = "/tmp/dumps/composite_conv2d_with_bias_and_relu6_fn_1", node_name = "Conv2D_1"}> : (tensor<*xf32>) -> ()
// IntPerLayer-DAG: return %[[output0]], %[[output1_quantized]]

# Text form of tensorflow.tf2xla.Config proto.
feed {
  id { node_name: "x" }
  shape {
    dim { size: 5 }
  }
}
fetch {
  id { node_name: "values" }
}
fetch {
  id { node_name: "indices" }

# Text form of tensorflow.tf2xla.Config proto.
feed {
  id { node_name: "x_const" }
  shape {
    dim { size: 1 }
  }
}
feed {
  id { node_name: "y_const" }
  shape {
    dim { size: 1 }
  }
}
fetch {
  id { node_name: "x_y_sum" }

# Text form of tensorflow.tf2xla.Config proto.
feed {
  id { node_name: "params" }
  shape {
    dim { size: 4 }
  }
}
feed {
  id { node_name: "indices" }
  shape {
    dim { size: 2 }
  }
}
fetch {
  id { node_name: "gather_output" }

# Text form of tensorflow.tf2xla.Config proto.
fetch {
  id { node_name: "result" }
}

variable {
  node_name: "x"
  shape {
  }
  type: DT_FLOAT
  readonly: true
}

variable {
  node_name: "y"
  shape {
  }
  type: DT_FLOAT
  readonly: true

		// add them to the eligible nodes
		nodeNames := util.GetLocalPersistentVolumeNodeNames(pv)
		if len(nodeNames) != 0 {
			// on the first found list of eligible nodes for the local PersistentVolume,
			// insert to the eligible node set.
			if eligibleNodes == nil {
				eligibleNodes = sets.New(nodeNames...)
			} else {

# Text form of tensorflow.tf2xla.Config proto.
feed {
  id { node_name: "x" }
  shape {
    dim { size: 2 }
  }
}
feed {
  id { node_name: "y" }
  shape {
    dim { size: 3 }
  }
}
fetch {
  id { node_name: "x_y_sum" }

# Text form of tensorflow.tf2xla.Config proto.
feed {
  id { node_name: "x_const" }
  shape {
    dim { size: 1 }
  }
}
feed {
  id { node_name: "y_const" }
  shape {
    dim { size: 1 }
  }
}
fetch {
  id { node_name: "x_y_sum" }