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Composable Kernel: /home/docs/checkouts/readthedocs.org/user_builds/advanced-micro-devices-composable-kernel/checkouts/develop/include/ck_tile/host/reference/reference_batched_transpose.hpp Source File

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 // SPDX-License-Identifier: MIT
 // Copyright (c) 2018-2023, Advanced Micro Devices, Inc. All rights reserved.
  
 #pragma once
  
 #include "ck_tile/core.hpp"
 #include "ck_tile/host/host_tensor.hpp"
 #include <thread>
  
 namespace ck_tile {
  
 template <typename Type>
 CK_TILE_HOST void reference_batched_transpose(const HostTensor<Type>& x,
                                               HostTensor<Type>& y,
                                               std::string layout_in  = "NCHW",
                                               std::string layout_out = "NHWC")
 {
     const int N = x.mDesc.get_lengths()[0];
  
     auto f = [&](auto batch) {
         if(layout_in == "NCHW" && layout_out == "NHWC")
         {
             const int C = x.mDesc.get_lengths()[1];
             const int H = x.mDesc.get_lengths()[2];
             const int W = x.mDesc.get_lengths()[3];
             for(int c = 0; c < C; ++c)
             {
                 for(int h = 0; h < H; ++h)
                 {
                     for(int w = 0; w < W; ++w)
                     {
                         Type v_x          = x(batch, c, h, w);
                         y(batch, h, w, c) = v_x;
                     }
                 }
             }
         }
         else if(layout_in == "NHWC" && layout_out == "NCHW")
         {
             const int H = x.mDesc.get_lengths()[1];
             const int W = x.mDesc.get_lengths()[2];
             const int C = x.mDesc.get_lengths()[3];
             for(int h = 0; h < H; ++h)
             {
                 for(int w = 0; w < W; ++w)
                 {
                     for(int c = 0; c < C; ++c)
                     {
                         Type v_x          = x(batch, h, w, c);
                         y(batch, c, h, w) = v_x;
                     }
                 }
             }
         }
     };
  
     make_ParallelTensorFunctor(f, N)(std::thread::hardware_concurrency());
 }
 } // namespace ck_tile