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diff --git a/extern/draco/draco/src/draco/compression/attributes/prediction_schemes/prediction_scheme_wrap_encoding_transform.h b/extern/draco/draco/src/draco/compression/attributes/prediction_schemes/prediction_scheme_wrap_encoding_transform.h
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+++ b/extern/draco/draco/src/draco/compression/attributes/prediction_schemes/prediction_scheme_wrap_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_WRAP_ENCODING_TRANSFORM_H_
+#define DRACO_COMPRESSION_ATTRIBUTES_PREDICTION_SCHEMES_PREDICTION_SCHEME_WRAP_ENCODING_TRANSFORM_H_
+
+#include "draco/compression/attributes/prediction_schemes/prediction_scheme_wrap_transform_base.h"
+#include "draco/core/encoder_buffer.h"
+
+namespace draco {
+
+// PredictionSchemeWrapEncodingTransform wraps input values using the wrapping
+// scheme described in: prediction_scheme_wrap_transform_base.h .
+template <typename DataTypeT, typename CorrTypeT = DataTypeT>
+class PredictionSchemeWrapEncodingTransform
+    : public PredictionSchemeWrapTransformBase<DataTypeT> {
+ public:
+  typedef CorrTypeT CorrType;
+  PredictionSchemeWrapEncodingTransform() {}
+
+  void Init(const DataTypeT *orig_data, int size, int num_components) {
+    PredictionSchemeWrapTransformBase<DataTypeT>::Init(num_components);
+    // Go over the original values and compute the bounds.
+    if (size == 0) {
+      return;
+    }
+    DataTypeT min_value = orig_data[0];
+    DataTypeT max_value = min_value;
+    for (int i = 1; i < size; ++i) {
+      if (orig_data[i] < min_value) {
+        min_value = orig_data[i];
+      } else if (orig_data[i] > max_value) {
+        max_value = orig_data[i];
+      }
+    }
+    this->set_min_value(min_value);
+    this->set_max_value(max_value);
+    this->InitCorrectionBounds();
+  }
+
+  // Computes the corrections based on the input original value and the
+  // predicted value. Out of bound correction values are wrapped around the max
+  // range of input values.
+  inline void ComputeCorrection(const DataTypeT *original_vals,
+                                const DataTypeT *predicted_vals,
+                                CorrTypeT *out_corr_vals) const {
+    for (int i = 0; i < this->num_components(); ++i) {
+      predicted_vals = this->ClampPredictedValue(predicted_vals);
+      out_corr_vals[i] = original_vals[i] - predicted_vals[i];
+      // Wrap around if needed.
+      DataTypeT &corr_val = out_corr_vals[i];
+      if (corr_val < this->min_correction()) {
+        corr_val += this->max_dif();
+      } else if (corr_val > this->max_correction()) {
+        corr_val -= this->max_dif();
+      }
+    }
+  }
+
+  bool EncodeTransformData(EncoderBuffer *buffer) {
+    // Store the input value range as it is needed by the decoder.
+    buffer->Encode(this->min_value());
+    buffer->Encode(this->max_value());
+    return true;
+  }
+};
+
+}  // namespace draco
+
+#endif  // DRACO_COMPRESSION_ATTRIBUTES_PREDICTION_SCHEMES_PREDICTION_SCHEME_WRAP_ENCODING_TRANSFORM_H_