code: def _read_tensor_tsv_file(fpath):
      with tf.io.gfile.GFile(fpath, "r") as f:
          tensor = []
          for line in f:
              line = line.rstrip("\n")
              if line:
                  tensor.append(list(map(float, line.split("\t"))))
      return np.array(tensor, dtype="float32")
  
imports: import collections
  import functools
  import imghdr
  import mimetypes
  import os
  import threading
  import numpy
  from werkzeug import wrappers
  from google.protobuf import json_format
  from google.protobuf import text_format
  from tensorboard import context
  from tensorboard.backend.event_processing import plugin_asset_util
  from tensorboard.backend.http_util import Respond
  from tensorboard.compat import tf
  from tensorboard.plugins import base_plugin
  from tensorboard.plugins.projector import metadata
  from tensorboard.plugins.projector.projector_config_pb2 import ProjectorConfig
  from tensorboard.util import tb_logging
label_desc: Use image node_id 1 for calling a global function with example usage: _read_tensor_tsv_file(fpath) and returns: np