blob: 48039432a5ae93c2bba8cf31d03e981e08d95779 [file] [log] [blame]
//
// Copyright © 2017,2022 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "Gather.hpp"
#include <armnn/backends/WorkloadData.hpp>
#include <armnn/utility/NumericCast.hpp>
namespace armnn
{
void Gather(const TensorInfo& paramsInfo,
const TensorInfo& indicesInfo,
const TensorInfo& outputInfo,
Decoder<float>& params,
const int32_t* indices,
Encoder<float>& output,
const int32_t axis_int)
{
IgnoreUnused(outputInfo);
const int paramsRank = static_cast<int>(paramsInfo.GetNumDimensions());
ARMNN_ASSERT(-1 * paramsRank <= axis_int && axis_int < paramsRank);
const unsigned int axis = (axis_int < 0) ? static_cast<unsigned int>(paramsRank + axis_int)
: static_cast<unsigned int>(axis_int);
const TensorShape& paramsShape = paramsInfo.GetShape();
// Product of all dimensions to the left side of the axis
unsigned int paramsOuterProduct = 1;
for (unsigned int i = 0; i < axis; ++i)
{
paramsOuterProduct *= paramsShape[i];
}
// Product of all dimensions to the right side of the axis
unsigned int paramsInnerProduct = 1;
for (unsigned int k = 1 + axis; k < paramsInfo.GetNumDimensions(); ++k)
{
paramsInnerProduct *= paramsShape[k];
}
unsigned int offset = 0;
unsigned int outIndex = 0;
for (unsigned int i = 0; i < paramsOuterProduct; ++i)
{
for (unsigned int j = 0; j < indicesInfo.GetNumElements(); ++j)
{
unsigned int index = armnn::numeric_cast<unsigned int>(indices[j]);
ARMNN_ASSERT(indices[j] >= 0 && index < paramsShape[axis]);
unsigned int startOffset = (paramsInnerProduct * index) + offset;
unsigned int endOffset = startOffset + paramsInnerProduct;
for (unsigned int k = startOffset; k < endOffset; ++k)
{
params[k];
float outputValue = params.Get();
output[outIndex];
output.Set(outputValue);
++outIndex;
}
}
offset += paramsShape[axis] * paramsInnerProduct;
}
ARMNN_ASSERT(outIndex == outputInfo.GetNumElements());
}
} //namespace armnn