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/*
* Copyright (c) 2018-2020 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to
* deal in the Software without restriction, including without limitation the
* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
* sell copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#include "GEMMReshapeLHSMatrix.h"
#include "arm_compute/core/Types.h"
#include "tests/validation/Helpers.h"
#include <algorithm>
#include <cmath>
#include <cstring>
namespace arm_compute
{
namespace test
{
namespace validation
{
namespace reference
{
template <typename T>
SimpleTensor<T> gemm_reshape_lhs_matrix(const SimpleTensor<T> &in, const TensorShape &output_shape, const GEMMLHSMatrixInfo &lhs_info)
{
ARM_COMPUTE_ERROR_ON(in.shape().num_dimensions() > 3);
SimpleTensor<T> out{ output_shape, in.data_type() };
// Initialize the output tensor with zero
std::memset(&out[0], 0, out.num_elements() * sizeof(T));
const unsigned int K = in.shape()[0];
const unsigned int M = in.shape()[1];
const unsigned int B = in.shape()[2];
const unsigned int num_tiles_x = std::ceil(K / static_cast<float>(lhs_info.k0));
const unsigned int num_tiles_y = std::ceil(M / static_cast<float>(lhs_info.m0));
const TensorShape tile_dims(lhs_info.k0, lhs_info.m0);
const TensorShape tile_dims_transposed(lhs_info.m0, lhs_info.k0);
// Simple tensor for the input tile
SimpleTensor<T> src_tile{ tile_dims, in.data_type() };
// Simple tensor for the input tile
SimpleTensor<T> src_tile_transposed{ tile_dims_transposed, in.data_type() };
// Simple tensor to use when storing the values
SimpleTensor<T> *tile_to_use = lhs_info.transpose ? &src_tile_transposed : &src_tile;
const unsigned int offset_output_x = lhs_info.interleave ? tile_to_use->shape()[0] : tile_to_use->shape()[0] * tile_to_use->shape()[1];
const unsigned int step_output_x = lhs_info.interleave ? tile_to_use->shape()[0] * lhs_info.v0 : tile_to_use->shape()[0];
for(unsigned int z = 0; z < B; ++z)
{
for(unsigned int y = 0; y < num_tiles_y; ++y)
{
for(unsigned int x = 0; x < num_tiles_x; ++x)
{
// Get the tile from the input tensor
get_tile<T>(in, src_tile, Coordinates(x * lhs_info.k0, y * lhs_info.m0, z, 0));
if(lhs_info.transpose)
{
// Transpose matrix
transpose_matrix<T>(src_tile, src_tile_transposed);
}
// Store
const unsigned int offset_output = (x * lhs_info.k0 * lhs_info.m0 * lhs_info.v0) + ((y % lhs_info.v0) * offset_output_x) + ((y / lhs_info.v0) * out.shape()[0]) + (z * out.shape()[0] * out.shape()[1]);
for(unsigned int i = 0; i < tile_to_use->shape()[1]; ++i)
{
const unsigned int offset_tile = i * tile_to_use->shape()[0];
// Copy per row
std::copy(&(*tile_to_use)[offset_tile], &(*tile_to_use)[offset_tile + tile_to_use->shape()[0]], &out[offset_output + i * step_output_x]);
}
}
}
}
return out;
}
template SimpleTensor<int> gemm_reshape_lhs_matrix(const SimpleTensor<int> &in, const TensorShape &output_shape, const GEMMLHSMatrixInfo &lhs_info);
template SimpleTensor<short> gemm_reshape_lhs_matrix(const SimpleTensor<short> &in, const TensorShape &output_shape, const GEMMLHSMatrixInfo &lhs_info);
template SimpleTensor<char> gemm_reshape_lhs_matrix(const SimpleTensor<char> &in, const TensorShape &output_shape, const GEMMLHSMatrixInfo &lhs_info);
} // namespace reference
} // namespace validation
} // namespace test
} // namespace arm_compute
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