96e4af6e86e93da021c29a4273dcdfaeab8fdfcf,tensorflow_transform/analyzers.py,Analyzer,__init__,#Analyzer#Any#Any#Any#,55

Before Change

      if not isinstance(tensor, tf.Tensor):
        raise ValueError("Analyzers can only accept `Tensor`s as inputs")
    self._inputs = inputs
    self._outputs = [tf.placeholder(dtype, shape)
                     for dtype, shape in output_dtypes_and_shapes]
    self._spec = spec
    tf.add_to_collection(ANALYZER_COLLECTION, self)

After Change

        raise ValueError("Analyzers can only accept `Tensor`s as inputs")
    self._inputs = inputs
    for output_tensor, is_asset in output_tensors_and_is_asset:
      if is_asset and output_tensor.dtype != tf.string:
        raise ValueError(("Tensor {} cannot represent an asset, because it is "
                          "not a string.").format(output_tensor.name))
    self._outputs = [output_tensor
                     for output_tensor, _ in output_tensors_and_is_asset]
    self._output_is_asset_map = dict(output_tensors_and_is_asset)
    self._spec = spec
    tf.add_to_collection(ANALYZER_COLLECTION, self)

Instances