title: File system scheme '[local]' not implemented in Google Colab TPU
body: <p>I am using TPU runtime in Google Colab, but having problems in reading files (not sure). I initialized TPU using:</p>
  <pre><code>import tensorflow as tf
  import os
  import tensorflow_datasets as tfds
  
  resolver = tf.distribute.cluster_resolver.TPUClusterResolver(tpu='grpc://' + os.environ['COLAB_TPU_ADDR'])
  tf.config.experimental_connect_to_cluster(resolver)
  # This is the TPU initialization code that has to be at the beginning.
  tf.tpu.experimental.initialize_tpu_system(resolver)
  print(&quot;All devices: &quot;, tf.config.list_logical_devices('TPU'))
  </code></pre>
  <p>I have many images in a folder in Google Colab storage ( e.g. <code>'/content/train2017/000000000009.jpg'</code>). I run the following code:</p>
  <pre><code>import tensorflow as tf
  def load_image(image_path):
      img = tf.io.read_file(image_path)
      img = tf.image.decode_jpeg(img, channels=3)
      img = tf.image.resize(img, (299, 299))
      img = tf.keras.applications.inception_v3.preprocess_input(img)
      return img, image_path
  load_image('/content/train2017/000000000009.jpg')
  </code></pre>
  <p>But, I am getting the following error:</p>
  <pre><code>---------------------------------------------------------------------------
  UnimplementedError                        Traceback (most recent call last)
  &lt;ipython-input-33-a7fbb45f3b76&gt; in &lt;module&gt;()
  ----&gt; 1 load_image('/content/train2017/000000000009.jpg')
  
  5 frames
  &lt;ipython-input-7-862c73d29b96&gt; in load_image(image_path)
        2     img = tf.io.read_file(image_path)
        3     img = tf.image.decode_jpeg(img, channels=3)
  ----&gt; 4     img = tf.image.resize(img, (299, 299))
        5     img = tf.keras.applications.inception_v3.preprocess_input(img)
        6     return img, image_path
  
  /usr/local/lib/python3.6/dist-packages/tensorflow/python/ops/image_ops_impl.py in resize_images_v2(images, size, method, preserve_aspect_ratio, antialias, name)
     1515       preserve_aspect_ratio=preserve_aspect_ratio,
     1516       name=name,
  -&gt; 1517       skip_resize_if_same=False)
     1518 
     1519 
  
  /usr/local/lib/python3.6/dist-packages/tensorflow/python/ops/image_ops_impl.py in _resize_images_common(images, resizer_fn, size, preserve_aspect_ratio, name, skip_resize_if_same)
     1183   with ops.name_scope(name, 'resize', [images, size]):
     1184     images = ops.convert_to_tensor(images, name='images')
  -&gt; 1185     if images.get_shape().ndims is None:
     1186       raise ValueError('\'images\' contains no shape.')
     1187     # TODO(shlens): Migrate this functionality to the underlying Op's.
  
  /usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/ops.py in get_shape(self)
     1071   def get_shape(self):
     1072     &quot;&quot;&quot;Alias of Tensor.shape.&quot;&quot;&quot;
  -&gt; 1073     return self.shape
     1074 
     1075   def _shape_as_list(self):
  
  /usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/ops.py in shape(self)
     1065         self._tensor_shape = tensor_shape.TensorShape(self._shape_tuple())
     1066       except core._NotOkStatusException as e:
  -&gt; 1067         six.raise_from(core._status_to_exception(e.code, e.message), None)
     1068 
     1069     return self._tensor_shape
  
  /usr/local/lib/python3.6/dist-packages/six.py in raise_from(value, from_value)
  
  UnimplementedError: File system scheme '[local]' not implemented (file: '/content/train2017/000000000009.jpg')
  </code></pre>
  <p>How should I solve it? I found something like a gs bucket, but it is paid. Is there any other way to solve this?</p>