Used in https://towardsdatascience.com/tensorflow-filesystem-access-tensors-differently-888bce1d68e7

tffs - read tensor.py

# ...

def _eval_tensor_if_needed(self, path):
    """
    Given a path to a tensor file, evaluate the tensor and cache the result in self._tensor_values.
    """
    if self._session is None:
        return None
    if path not in self._tensor_values:
        self._tensor_values[path] = self._session.run(self._graph.get_tensor_by_name(path[1:]))
    return self._tensor_values[path]

def read(self, path, size, offset, fh):
    if path.startswith('/bin/'):
        return self._bin_scripts[path][offset:offset + size]

    val = self._eval_tensor_if_needed(path)
    with printoptions(suppress=True,
                      formatter={'all': _fixed_val_length},
                      threshold=sys.maxint,
                      linewidth=sys.maxint):
        return str(val)[offset:offset + size]

# ...