message: Fix issue that prevents using both dense and sparse features in a single model with TPUEstimator.
diff: @@ -1044,7 +1044,7 @@ class TPUEmbedding(object):
  sample_indices = (
  enqueue_data.sample_indices
  if enqueue_data.sample_indices is not None else array_ops.zeros(
  - (0,), dtype=dtypes.int32))
  + (0,), dtype=dtypes.int64))
  sample_indices_list.append(sample_indices)
  aggregation_weights = (
  