From eda5bc26f44ee9a6f83dcf8c91f17296d7fc509d Mon Sep 17 00:00:00 2001
From: Nao Pross <np@0hm.ch>
Date: Mon, 12 Feb 2024 14:52:43 +0100
Subject: Move into version control

---
 .../include/armadillo_bits/op_strans_meat.hpp      | 465 +++++++++++++++++++++
 1 file changed, 465 insertions(+)
 create mode 100644 src/armadillo/include/armadillo_bits/op_strans_meat.hpp

(limited to 'src/armadillo/include/armadillo_bits/op_strans_meat.hpp')

diff --git a/src/armadillo/include/armadillo_bits/op_strans_meat.hpp b/src/armadillo/include/armadillo_bits/op_strans_meat.hpp
new file mode 100644
index 0000000..ed02d3b
--- /dev/null
+++ b/src/armadillo/include/armadillo_bits/op_strans_meat.hpp
@@ -0,0 +1,465 @@
+// 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_strans
+//! @{
+
+
+
+//! for tiny square matrices (size <= 4x4)
+template<typename eT, typename TA>
+inline
+void
+op_strans::apply_mat_noalias_tinysq(Mat<eT>& out, const TA& A)
+  {
+  const eT*   Am =   A.memptr();
+        eT* outm = out.memptr();
+  
+  switch(A.n_rows)
+    {
+    case 1:
+      {
+      outm[0] = Am[0];
+      }
+      break;
+      
+    case 2:
+      {
+      outm[pos<false,0,0>::n2] = Am[pos<true,0,0>::n2];
+      outm[pos<false,1,0>::n2] = Am[pos<true,1,0>::n2];
+      
+      outm[pos<false,0,1>::n2] = Am[pos<true,0,1>::n2];
+      outm[pos<false,1,1>::n2] = Am[pos<true,1,1>::n2];
+      }
+      break;
+    
+    case 3:
+      {
+      outm[pos<false,0,0>::n3] = Am[pos<true,0,0>::n3];
+      outm[pos<false,1,0>::n3] = Am[pos<true,1,0>::n3];
+      outm[pos<false,2,0>::n3] = Am[pos<true,2,0>::n3];
+      
+      outm[pos<false,0,1>::n3] = Am[pos<true,0,1>::n3];
+      outm[pos<false,1,1>::n3] = Am[pos<true,1,1>::n3];
+      outm[pos<false,2,1>::n3] = Am[pos<true,2,1>::n3];
+      
+      outm[pos<false,0,2>::n3] = Am[pos<true,0,2>::n3];
+      outm[pos<false,1,2>::n3] = Am[pos<true,1,2>::n3];
+      outm[pos<false,2,2>::n3] = Am[pos<true,2,2>::n3];
+      }
+      break;
+    
+    case 4:
+      {
+      outm[pos<false,0,0>::n4] = Am[pos<true,0,0>::n4];
+      outm[pos<false,1,0>::n4] = Am[pos<true,1,0>::n4];
+      outm[pos<false,2,0>::n4] = Am[pos<true,2,0>::n4];
+      outm[pos<false,3,0>::n4] = Am[pos<true,3,0>::n4];
+      
+      outm[pos<false,0,1>::n4] = Am[pos<true,0,1>::n4];
+      outm[pos<false,1,1>::n4] = Am[pos<true,1,1>::n4];
+      outm[pos<false,2,1>::n4] = Am[pos<true,2,1>::n4];
+      outm[pos<false,3,1>::n4] = Am[pos<true,3,1>::n4];
+      
+      outm[pos<false,0,2>::n4] = Am[pos<true,0,2>::n4];
+      outm[pos<false,1,2>::n4] = Am[pos<true,1,2>::n4];
+      outm[pos<false,2,2>::n4] = Am[pos<true,2,2>::n4];
+      outm[pos<false,3,2>::n4] = Am[pos<true,3,2>::n4];
+      
+      outm[pos<false,0,3>::n4] = Am[pos<true,0,3>::n4];
+      outm[pos<false,1,3>::n4] = Am[pos<true,1,3>::n4];
+      outm[pos<false,2,3>::n4] = Am[pos<true,2,3>::n4];
+      outm[pos<false,3,3>::n4] = Am[pos<true,3,3>::n4];
+      }
+      break;
+    
+    default:
+      ;
+    }
+  
+  }
+
+
+
+template<typename eT>
+inline
+void
+op_strans::block_worker(eT* Y, const eT* X, const uword X_n_rows, const uword Y_n_rows, const uword n_rows, const uword n_cols)
+  {
+  for(uword row = 0; row < n_rows; ++row)
+    {
+    const uword Y_offset = row * Y_n_rows;
+    
+    for(uword col = 0; col < n_cols; ++col)
+      {
+      const uword X_offset = col * X_n_rows;
+      
+      Y[col + Y_offset] = X[row + X_offset];
+      }
+    }
+  }
+
+
+
+template<typename eT>
+inline
+void
+op_strans::apply_mat_noalias_large(Mat<eT>& out, const Mat<eT>& A)
+  {
+  arma_extra_debug_sigprint();
+  
+  const uword n_rows = A.n_rows;
+  const uword n_cols = A.n_cols;
+  
+  const uword block_size = 64;
+  
+  const uword n_rows_base = block_size * (n_rows / block_size);
+  const uword n_cols_base = block_size * (n_cols / block_size);
+  
+  const uword n_rows_extra = n_rows - n_rows_base;
+  const uword n_cols_extra = n_cols - n_cols_base;
+  
+  const eT* X =   A.memptr();
+        eT* Y = out.memptr();
+  
+  for(uword row = 0; row < n_rows_base; row += block_size)
+    {
+    const uword Y_offset = row * n_cols;
+    
+    for(uword col = 0; col < n_cols_base; col += block_size)
+      {
+      const uword X_offset = col * n_rows;
+      
+      op_strans::block_worker(&Y[col + Y_offset], &X[row + X_offset], n_rows, n_cols, block_size, block_size);
+      }
+    
+    const uword X_offset = n_cols_base * n_rows;
+    
+    op_strans::block_worker(&Y[n_cols_base + Y_offset], &X[row + X_offset], n_rows, n_cols, block_size, n_cols_extra);
+    }
+
+  if(n_rows_extra == 0)  { return; }
+  
+  const uword Y_offset = n_rows_base * n_cols;
+  
+  for(uword col = 0; col < n_cols_base; col += block_size)
+    {
+    const uword X_offset = col * n_rows;
+    
+    op_strans::block_worker(&Y[col + Y_offset], &X[n_rows_base + X_offset], n_rows, n_cols, n_rows_extra, block_size);
+    }
+  
+  const uword X_offset = n_cols_base * n_rows;
+  
+  op_strans::block_worker(&Y[n_cols_base + Y_offset], &X[n_rows_base + X_offset], n_rows, n_cols, n_rows_extra, n_cols_extra);
+  }
+
+
+
+//! Immediate transpose of a dense matrix
+template<typename eT, typename TA>
+inline
+void
+op_strans::apply_mat_noalias(Mat<eT>& out, const TA& A)
+  {
+  arma_extra_debug_sigprint();
+  
+  const uword A_n_cols = A.n_cols;
+  const uword A_n_rows = A.n_rows;
+  
+  out.set_size(A_n_cols, A_n_rows);
+  
+  if( (TA::is_row) || (TA::is_col) || (A_n_cols == 1) || (A_n_rows == 1) )
+    {
+    arrayops::copy( out.memptr(), A.memptr(), A.n_elem );
+    }
+  else
+    {
+    if( (A_n_rows <= 4) && (A_n_rows == A_n_cols) )
+      {
+      op_strans::apply_mat_noalias_tinysq(out, A);
+      }
+    else
+    if( (A_n_rows >= 512) && (A_n_cols >= 512) )
+      {
+      op_strans::apply_mat_noalias_large(out, A);
+      }
+    else
+      {
+      eT* outptr = out.memptr();
+      
+      for(uword k=0; k < A_n_rows; ++k)
+        {
+        const eT* Aptr = &(A.at(k,0));
+        
+        uword j;
+        for(j=1; j < A_n_cols; j+=2)
+          {
+          const eT tmp_i = (*Aptr);  Aptr += A_n_rows;
+          const eT tmp_j = (*Aptr);  Aptr += A_n_rows;
+          
+          (*outptr) = tmp_i;  outptr++;
+          (*outptr) = tmp_j;  outptr++;
+          }
+        
+        if((j-1) < A_n_cols)
+          {
+          (*outptr) = (*Aptr);  outptr++;;
+          }
+        }
+      }
+    }
+  }
+
+
+
+template<typename eT>
+inline
+void
+op_strans::apply_mat_inplace(Mat<eT>& out)
+  {
+  arma_extra_debug_sigprint();
+  
+  const uword n_rows = out.n_rows;
+  const uword n_cols = out.n_cols;
+  
+  if(n_rows == n_cols)
+    {
+    arma_extra_debug_print("op_strans::apply(): doing in-place transpose of a square matrix");
+    
+    const uword N = n_rows;
+    
+    for(uword k=0; k < N; ++k)
+      {
+      eT* colptr = &(out.at(k,k));
+      eT* rowptr = colptr;
+      
+      colptr++;
+      rowptr += N;
+      
+      uword j;
+      
+      for(j=(k+2); j < N; j+=2)
+        {
+        std::swap( (*rowptr), (*colptr) );  rowptr += N;  colptr++;
+        std::swap( (*rowptr), (*colptr) );  rowptr += N;  colptr++;
+        }
+      
+      if((j-1) < N)
+        {
+        std::swap( (*rowptr), (*colptr) );
+        }
+      }
+    }
+  else
+    {
+    Mat<eT> tmp;
+    
+    op_strans::apply_mat_noalias(tmp, out);
+    
+    out.steal_mem(tmp);
+    }
+  }
+
+
+
+template<typename eT, typename TA>
+inline
+void
+op_strans::apply_mat(Mat<eT>& out, const TA& A)
+  {
+  arma_extra_debug_sigprint();
+  
+  if(&out != &A)
+    {
+    op_strans::apply_mat_noalias(out, A);
+    }
+  else
+    {
+    op_strans::apply_mat_inplace(out);
+    }
+  }
+
+
+
+template<typename T1>
+inline
+void
+op_strans::apply_proxy(Mat<typename T1::elem_type>& out, const Proxy<T1>& P)
+  {
+  arma_extra_debug_sigprint();
+  
+  typedef typename T1::elem_type eT;
+  
+  const uword n_rows = P.get_n_rows();
+  const uword n_cols = P.get_n_cols();
+  
+  if( (resolves_to_vector<T1>::yes) && (Proxy<T1>::use_at == false) )
+    {
+    out.set_size(n_cols, n_rows);
+    
+    eT* out_mem = out.memptr();
+    
+    const uword n_elem = P.get_n_elem();
+    
+    typename Proxy<T1>::ea_type Pea = P.get_ea();
+    
+    uword i,j;
+    for(i=0, j=1; j < n_elem; i+=2, j+=2)
+      {
+      const eT tmp_i = Pea[i];
+      const eT tmp_j = Pea[j];
+      
+      out_mem[i] = tmp_i;
+      out_mem[j] = tmp_j;
+      }
+    
+    if(i < n_elem)
+      {
+      out_mem[i] = Pea[i];
+      }
+    }
+  else   // general matrix transpose
+    {
+    out.set_size(n_cols, n_rows);
+    
+    eT* outptr = out.memptr();
+    
+    for(uword k=0; k < n_rows; ++k)
+      {
+      uword j;
+      for(j=1; j < n_cols; j+=2)
+        {
+        const uword i = j-1;
+        
+        const eT tmp_i = P.at(k,i);
+        const eT tmp_j = P.at(k,j);
+        
+        (*outptr) = tmp_i;  outptr++;
+        (*outptr) = tmp_j;  outptr++;
+        }
+      
+      const uword i = j-1;
+      
+      if(i < n_cols)
+        {
+        (*outptr) = P.at(k,i);  outptr++;
+        }
+      }
+    }
+  }
+
+
+
+template<typename T1>
+inline
+void
+op_strans::apply_direct(Mat<typename T1::elem_type>& out, const T1& X)
+  {
+  arma_extra_debug_sigprint();
+  
+  typedef typename T1::elem_type eT;
+  
+  // allow detection of in-place transpose
+  if(is_Mat<T1>::value || (arma_config::openmp && Proxy<T1>::use_mp))
+    {
+    const unwrap<T1> U(X);
+    
+    op_strans::apply_mat(out, U.M);
+    }
+  else
+    {
+    const Proxy<T1> P(X);
+    
+    const bool is_alias = P.is_alias(out);
+    
+    if(is_Mat<typename Proxy<T1>::stored_type>::value)
+      {
+      const quasi_unwrap<typename Proxy<T1>::stored_type> U(P.Q);
+      
+      if(is_alias)
+        {
+        Mat<eT> tmp;
+        
+        op_strans::apply_mat_noalias(tmp, U.M);
+        
+        out.steal_mem(tmp);
+        }
+      else
+        {
+        op_strans::apply_mat_noalias(out, U.M);
+        }
+      }
+    else
+      {
+      if(is_alias)
+        {
+        Mat<eT> tmp;
+        
+        op_strans::apply_proxy(tmp, P);
+        
+        out.steal_mem(tmp);
+        }
+      else
+        {
+        op_strans::apply_proxy(out, P);
+        }
+      }
+    }
+  }
+
+
+
+template<typename T1>
+inline
+void
+op_strans::apply(Mat<typename T1::elem_type>& out, const Op<T1,op_strans>& in)
+  {
+  arma_extra_debug_sigprint();
+  
+  op_strans::apply_direct(out, in.m);
+  }
+
+
+
+//
+//
+//
+
+
+
+template<typename eT>
+inline
+void
+op_strans_cube::apply_noalias(Cube<eT>& out, const Cube<eT>& X)
+  {
+  out.set_size(X.n_cols, X.n_rows, X.n_slices);
+  
+  for(uword s=0; s < X.n_slices; ++s)
+    {
+    Mat<eT> out_slice( out.slice_memptr(s), X.n_cols, X.n_rows, false, true );
+    
+    const Mat<eT> X_slice( const_cast<eT*>(X.slice_memptr(s)), X.n_rows, X.n_cols, false, true );
+    
+    op_strans::apply_mat_noalias(out_slice, X_slice);
+    }
+  }
+
+
+
+//! @}
-- 
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