tensorflow/models · error · TypeError

Got unsupported tensor type for feature {feature_name}. The

Error message

Got unsupported tensor type for feature {feature_name}. The feature tensor must be one of `tf.Tensor`, `tf.SparseTensor` or `tf.RaggedTensor`, but got {feature} instead.

What it means

Error "Got unsupported tensor type for feature {feature_name}. The feature tensor must be one of `tf.Tensor`, `tf.SparseTensor` or `tf.RaggedTensor`, but got {feature} instead." thrown in tensorflow/models.

Source

Thrown at official/recommendation/uplift/layers/encoders/concat_features.py:102

            " same shape except for the last dimension, but got features with"
            f" incompatible shapes {feature_shapes}"
        )

    super().build(input_shapes)

  def call(self, inputs: types.DictOfTensors) -> tf.Tensor:
    features = []

    for feature_name, feature in inputs.items():
      if feature_name in self._feature_names:
        if isinstance(feature, tf.Tensor):
          features.append(feature)
        elif isinstance(feature, tf.SparseTensor):
          features.append(tf.sparse.to_dense(feature))
        elif isinstance(feature, tf.RaggedTensor):
          features.append(feature.to_tensor())
        else:
          raise TypeError(
              f"Got unsupported tensor type for feature {feature_name}. The"
              " feature tensor must be one of `tf.Tensor`, `tf.SparseTensor` or"
              f" `tf.RaggedTensor`, but got {feature} instead."
          )

    return tf.concat(features, axis=-1)

  def get_config(self):
    config = super().get_config()
    config.update({"feature_names": self._feature_names})
    return config

View on GitHub (pinned to e006f5f0d5)

When it happens

Trigger: Thrown at official/recommendation/uplift/layers/encoders/concat_features.py:102 when the library encounters an invalid state.

Common situations: See trigger scenarios.

AI-assisted analysis of tensorflow/models@e006f5f0d5 (2026-08-24). Data as JSON: /api/errors/5e09200ac015bd69. Report an issue: GitHub.