code: def read(self, index, name=None):
      if isinstance(index, EagerTensor):
          index = ivy.to_scalar(index.ivy_array)
  
      if index < 0:
          raise IndexError(
              f"Reading from negative indices {index} is not allowed."
          )
  
      if index >= len(self._tensor_array):
          raise IndexError(
              f"Tried to read from index {index} but array size is:"
              f" {len(self._tensor_array)} "
          )
  
      tensor = self._tensor_array[index]
      if tensor is None:
          if index in self._previously_read_indices:
              raise ValueError(
                  f"Could not read index {index} twice because it was cleared after a"
                  " previous read (perhaps try setting clear_after_read = false?)"
              )
          else:
              tensor = self._tensor_array[index] = tf_frontend.zeros(
                  shape=self._element_shape, dtype=self._dtype
              )
  
      if self._clear_after_read:
          self._tensor_array[index] = None
          self._previously_read_indices.append(index)
      return tensor
  
imports: import weakref
  import ivy
  import ivy.functional.frontends.tensorflow
  from ivy.functional.frontends.tensorflow import EagerTensor
label_desc: Use image node_id 10 for calling the TensorArray obj's underlying member method code with example usage: obj.read(index, name) and returns: tensor