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diff --git a/src/armadillo/include/armadillo_bits/op_unique_meat.hpp b/src/armadillo/include/armadillo_bits/op_unique_meat.hpp
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@@ -0,0 +1,174 @@
+// SPDX-License-Identifier: Apache-2.0
+// 
+// Copyright 2008-2016 Conrad Sanderson (http://conradsanderson.id.au)
+// Copyright 2008-2016 National ICT Australia (NICTA)
+// 
+// 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.
+// ------------------------------------------------------------------------
+
+
+
+//! \addtogroup op_unique
+//! @{
+
+
+
+template<typename T1>
+inline
+bool
+op_unique::apply_helper(Mat<typename T1::elem_type>& out, const Proxy<T1>& P, const bool P_is_row)
+  {
+  arma_extra_debug_sigprint();
+  
+  typedef typename T1::elem_type eT;
+  
+  const uword n_elem = P.get_n_elem();
+  
+  if(n_elem == 0)
+    {
+    if(P_is_row)
+      {
+      out.set_size(1,0);
+      }
+    else
+      {
+      out.set_size(0,1);
+      }
+    
+    return true;
+    }
+  
+  if(n_elem == 1)
+    {
+    const eT tmp = (Proxy<T1>::use_at) ? P.at(0,0) : P[0];
+    
+    out.set_size(1, 1);
+    
+    out[0] = tmp;
+    
+    return true;
+    }
+  
+  Mat<eT> X(n_elem, 1, arma_nozeros_indicator());
+  
+  eT* X_mem = X.memptr();
+  
+  if(Proxy<T1>::use_at == false)
+    {
+    typename Proxy<T1>::ea_type Pea = P.get_ea();
+    
+    for(uword i=0; i<n_elem; ++i)
+      {
+      const eT val = Pea[i];
+      
+      if(arma_isnan(val))  { out.soft_reset(); return false; }
+      
+      X_mem[i] = val;
+      }
+    }
+  else
+    {
+    const uword n_rows = P.get_n_rows();
+    const uword n_cols = P.get_n_cols();
+    
+    for(uword col=0; col < n_cols; ++col)
+    for(uword row=0; row < n_rows; ++row)
+      {
+      const eT val = P.at(row,col);
+      
+      if(arma_isnan(val))  { out.soft_reset(); return false; }
+      
+      (*X_mem) = val;  X_mem++;
+      }
+    
+    X_mem = X.memptr();
+    }
+  
+  arma_unique_comparator<eT> comparator;
+  
+  std::sort( X.begin(), X.end(), comparator );
+  
+  uword N_unique = 1;
+  
+  for(uword i=1; i < n_elem; ++i)
+    {
+    const eT a = X_mem[i-1];
+    const eT b = X_mem[i  ];
+    
+    const eT diff = a - b;
+    
+    if(diff != eT(0)) { ++N_unique; }
+    }
+  
+  if(P_is_row)
+    {
+    out.set_size(1, N_unique);
+    }
+  else
+    {
+    out.set_size(N_unique, 1);
+    }
+  
+  eT* out_mem = out.memptr();
+  
+  if(n_elem > 0)  { (*out_mem) = X_mem[0];  out_mem++; }
+  
+  for(uword i=1; i < n_elem; ++i)
+    {
+    const eT a = X_mem[i-1];
+    const eT b = X_mem[i  ];
+    
+    const eT diff = a - b;
+    
+    if(diff != eT(0))  { (*out_mem) = b;  out_mem++; }
+    }
+  
+  return true;
+  }
+
+
+
+template<typename T1>
+inline
+void
+op_unique::apply(Mat<typename T1::elem_type>& out, const Op<T1, op_unique>& in)
+  {
+  arma_extra_debug_sigprint();
+  
+  const Proxy<T1> P(in.m);
+  
+  const bool all_non_nan = op_unique::apply_helper(out, P, false);
+  
+  arma_debug_check( (all_non_nan == false), "unique(): detected NaN" );
+  }
+
+
+
+template<typename T1>
+inline
+void
+op_unique_vec::apply(Mat<typename T1::elem_type>& out, const Op<T1, op_unique_vec>& in)
+  {
+  arma_extra_debug_sigprint();
+  
+  const Proxy<T1> P(in.m);
+  
+  const bool P_is_row = (T1::is_xvec) ? bool(P.get_n_rows() == 1) : bool(T1::is_row);
+  
+  const bool all_non_nan = op_unique::apply_helper(out, P, P_is_row);
+  
+  arma_debug_check( (all_non_nan == false), "unique(): detected NaN" );
+  }
+
+
+
+//! @}