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diff --git a/extern/draco/draco/src/draco/compression/attributes/prediction_schemes/prediction_scheme_encoding_transform.h b/extern/draco/draco/src/draco/compression/attributes/prediction_schemes/prediction_scheme_encoding_transform.h
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+++ b/extern/draco/draco/src/draco/compression/attributes/prediction_schemes/prediction_scheme_encoding_transform.h
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+// Copyright 2016 The Draco Authors.
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//      http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+//
+#ifndef DRACO_COMPRESSION_ATTRIBUTES_PREDICTION_SCHEMES_PREDICTION_SCHEME_ENCODING_TRANSFORM_H_
+#define DRACO_COMPRESSION_ATTRIBUTES_PREDICTION_SCHEMES_PREDICTION_SCHEME_ENCODING_TRANSFORM_H_
+
+#include "draco/compression/config/compression_shared.h"
+#include "draco/core/encoder_buffer.h"
+
+namespace draco {
+
+// PredictionSchemeEncodingTransform is used to transform predicted values into
+// correction values.
+// CorrTypeT is the data type used for storing corrected values. It allows
+// transforms to store corrections into a different type or format compared to
+// the predicted data.
+template <typename DataTypeT, typename CorrTypeT>
+class PredictionSchemeEncodingTransform {
+ public:
+  typedef CorrTypeT CorrType;
+  PredictionSchemeEncodingTransform() : num_components_(0) {}
+
+  PredictionSchemeTransformType GetType() const {
+    return PREDICTION_TRANSFORM_DELTA;
+  }
+
+  // Performs any custom initialization of the transform for the encoder.
+  // |size| = total number of values in |orig_data| (i.e., number of entries *
+  // number of components).
+  void Init(const DataTypeT * /* orig_data */, int /* size */,
+            int num_components) {
+    num_components_ = num_components;
+  }
+
+  // Computes the corrections based on the input original values and the
+  // predicted values. The correction is always computed for all components
+  // of the input element. |val_id| is the id of the input value
+  // (i.e., element_id * num_components). The default implementation is equal to
+  // std::minus.
+  inline void ComputeCorrection(const DataTypeT *original_vals,
+                                const DataTypeT *predicted_vals,
+                                CorrTypeT *out_corr_vals) {
+    static_assert(std::is_same<DataTypeT, CorrTypeT>::value,
+                  "For the default prediction transform, correction and input "
+                  "data must be of the same type.");
+    for (int i = 0; i < num_components_; ++i) {
+      out_corr_vals[i] = original_vals[i] - predicted_vals[i];
+    }
+  }
+
+  // Encode any transform specific data.
+  bool EncodeTransformData(EncoderBuffer * /* buffer */) { return true; }
+
+  // Should return true if all corrected values are guaranteed to be positive.
+  bool AreCorrectionsPositive() const { return false; }
+
+ protected:
+  int num_components() const { return num_components_; }
+
+ private:
+  int num_components_;
+};
+
+}  // namespace draco
+
+#endif  // DRACO_COMPRESSION_ATTRIBUTES_PREDICTION_SCHEMES_PREDICTION_SCHEME_ENCODING_TRANSFORM_H_