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conv2d.cu
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////////////////////////////////////////////////////////////////////////////////
// BSD 3-Clause License
//
// Copyright (c) 2021, NVIDIA Corporation
// All rights reserved.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are met:
//
// 1. Redistributions of source code must retain the above copyright notice, this
// list of conditions and the following disclaimer.
//
// 2. Redistributions in binary form must reproduce the above copyright notice,
// this list of conditions and the following disclaimer in the documentation
// and/or other materials provided with the distribution.
//
// 3. Neither the name of the copyright holder nor the names of its
// contributors may be used to endorse or promote products derived from
// this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
// AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
// IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
// DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
// FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
// DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
// SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
// CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
// OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
// OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
/////////////////////////////////////////////////////////////////////////////////
#include "matx.h"
#include <cassert>
#include <cstdio>
using namespace matx;
int main([[maybe_unused]] int argc, [[maybe_unused]] char **argv)
{
MATX_ENTER_HANDLER();
index_t iN = 4;
index_t iM = 6;
index_t fN = 4;
index_t fM = 2;
auto in = make_tensor<int>({iN,iM});
auto filter = make_tensor<int>({fN,fM});
in.SetVals({ {1,2,3,4,5,6},
{5,4,3,2,1,0},
{3,4,5,6,7,8},
{1,2,3,4,5,6},
});
filter.SetVals({ {1,2},
{3,4},
{5,6},
{7,8}});
#if 1
index_t oN = iN + fN -1;
index_t oM = iM + fM -1;
auto mode = MATX_C_MODE_FULL;
#elif 0
index_t oN = iN;
index_t oM = iM;
auto mode = MATX_C_MODE_SAME;
#else
index_t oN = iN - fN + 1;
index_t oM = iM - fM + 1;
auto mode = MATX_C_MODE_VALID;
#endif
auto out = make_tensor<int>({oN,oM});
(out = conv2d(in, filter, mode)).run();
printf("in:\n");
print(in);
printf("filter:\n");
print(filter);
printf("out:\n");
print(out);
MATX_CUDA_CHECK_LAST_ERROR();
MATX_EXIT_HANDLER();
}