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/*
* Copyright (c) 2024 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 "ScatterLayer.h"
#include "tests/validation/Helpers.h"
namespace arm_compute
{
namespace test
{
namespace validation
{
namespace reference
{
namespace
{
template <typename T>
T reduce_op(const T ¤t,const T &update,const ScatterFunction func)
{
switch(func)
{
case ScatterFunction::Update:
return update;
break;
case ScatterFunction::Add:
return current + update;
break;
case ScatterFunction::Sub:
return current - update;
break;
case ScatterFunction::Max:
return std::max(current, update);
break;
case ScatterFunction::Min:
return std::min(current, update);
break;
default:
ARM_COMPUTE_ERROR("Unsupported Scatter function");
break;
}
}
template float reduce_op(const float ¤t,const float &update,const ScatterFunction func);
}
// Note : This function currently only supports 1D src, 1D updates, 2D indices, 1D output tensors.
template <typename T>
SimpleTensor<T> scatter_layer_internal(const SimpleTensor<T> &src, const SimpleTensor<T> &updates, const SimpleTensor<int32_t> &indices, const TensorShape &out_shape, const ScatterInfo &info)
{
SimpleTensor<T> dst{ out_shape, src.data_type(), 1 };
// 1. If zero initialization variable is true, fill dst with 0 values. Else copy src data to dst.
if(info.zero_initialization)
{
for (int i = 0; i < src.num_elements(); ++i)
{
dst[i] = static_cast<T>(0);
}
}
else
{
std::copy_n(src.data(), src.num_elements(), dst.data());
}
// 2. Get max index of output tensor, then iterate over index tensor.
const int x_bound = static_cast<int>(dst.shape().x());
for(int i = 0; i < indices.num_elements(); ++i)
{
// 3. Check whether index is out of bounds for dst, if not then apply reduce op.
const auto index = indices[i];
if (index < x_bound && index >= 0) // Note : we ignore negative index values.
{
dst[index] = reduce_op(dst[index], updates[i], info.func);
}
}
return dst;
}
template <typename T>
SimpleTensor<T> scatter_layer(const SimpleTensor<T> &src, const SimpleTensor<T> &updates, const SimpleTensor<int32_t> &indices, const TensorShape &out_shape, const ScatterInfo &info)
{
return scatter_layer_internal<T>(src, updates, indices, out_shape, info);
}
template SimpleTensor<float> scatter_layer(const SimpleTensor<float> &src, const SimpleTensor<float> &updates, const SimpleTensor<int32_t> &indices, const TensorShape &out_shape, const ScatterInfo &info);
} // namespace reference
} // namespace validation
} // namespace test
} // namespace arm_compute
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