tensorflow/models · error · ValueError

All features from the feature_names set must be tensors with

Error message

All features from the feature_names set must be tensors with the same shape except for the last dimension, but got features with incompatible shapes {feature_shapes}

What it means

Error "All features from the feature_names set must be tensors with the same shape except for the last dimension, but got features with incompatible shapes {feature_shapes}" thrown in tensorflow/models.

Source

Thrown at official/recommendation/uplift/layers/encoders/concat_features.py:82

        if feature_name in self._feature_names
    }

    most_specific_shape = tf.TensorShape(None)
    for feature_name, shape in feature_shapes.items():
      if not isinstance(shape, tf.TensorShape):
        raise TypeError(
            f"Got unsupported tensor shape type for feature {feature_name}. The"
            " feature tensor must be one of `tf.Tensor`, `tf.SparseTensor` or"
            " `tf.RaggedTensor`, with a well defined tensor shape but got shape"
            f" {shape} instead."
        )

      shape = shape[:-1]
      if shape.is_subtype_of(most_specific_shape):
        most_specific_shape = shape

      elif not most_specific_shape.is_subtype_of(shape):
        raise ValueError(
            "All features from the feature_names set must be tensors with the"
            " 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())

View on GitHub (pinned to e006f5f0d5)

When it happens

Trigger: Thrown at official/recommendation/uplift/layers/encoders/concat_features.py:82 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/8f66c9966efd6365. Report an issue: GitHub.