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//
// Copyright © 2017 Arm Ltd. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "FullyConnected.hpp"
#include <boost/assert.hpp>
namespace armnn
{
void FullyConnected(const float* inputData,
float* outputData,
const TensorInfo& inputTensorInfo,
const TensorInfo& outputTensorInfo,
const float* weightData,
const float* biasData,
bool transposeWeights)
{
unsigned int N = outputTensorInfo.GetShape()[1]; // Outputs Vector Size.
BOOST_ASSERT(inputTensorInfo.GetNumDimensions() > 1); // Needs some data.
unsigned int K = 1; // Total number of activations in the input.
for (unsigned int i = 1; i < inputTensorInfo.GetNumDimensions(); i++)
{
K *= inputTensorInfo.GetShape()[i];
}
for (unsigned int n = 0; n < inputTensorInfo.GetShape()[0]; n++)
{
for (unsigned int channelOutput = 0; channelOutput < N; channelOutput++)
{
float outval = 0.f;
for (unsigned int channelInput = 0; channelInput < K; channelInput++)
{
float weight;
if (transposeWeights)
{
weight = weightData[channelOutput * K + channelInput];
}
else
{
weight = weightData[channelInput * N + channelOutput];
}
outval += weight * inputData[n * K + channelInput];
}
if (biasData)
{
outval += biasData[channelOutput];
}
outputData[n * N + channelOutput] = outval;
}
}
}
} //namespace armnn
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