message: Fixed bug where Tensorflow misreports sizes when sizes are mismatched.
diff: @@ -2285,12 +2285,13 @@ Status ParseContextDenseFeatures(const FeatureProtosMap& context_features,
  context_features.find(c.feature_name)->second;
  TensorShape dense_shape, example_shape;
  DataType dtype = c.dtype;
  - const size_t expected_max_elements = feature.length;
  + const size_t data_max_elements = feature.length;
  if (!c.shape.AsTensorShape(&example_shape) ||
  - expected_max_elements != example_shape.num_elements()) {
  + data_max_elements != example_shape.num_elements()) {
  return errors::InvalidArgument(
  - "Inconsistent number of elements for feature ", c.feature_name, ": ",
  - expected_max_elements, " vs ", dense_shape.num_elements());
  + "Inconsistent max number of elements for feature ", c.feature_name,
  + ": expected ", example_shape.num_elements(), ", but found ",
  + data_max_elements);
  }
  if (is_batch) {
  dense_shape.AddDim(num_examples);
  @@ -2324,7 +2325,7 @@ Status ParseContextDenseFeatures(const FeatureProtosMap& context_features,
  EnableAliasing(&stream);
  num_elements += ParseFeature(dtype, &stream, &out, &out_offset);
  }
  - if (num_elements != expected_max_elements) {
  + if (num_elements != data_max_elements) {
  return errors::InvalidArgument(
  "Unexpected number of elements in example ",
  ExampleName(example_names, e));
  