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author | David Beck <david.beck@arm.com> | 2018-09-19 12:03:20 +0100 |
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committer | Matthew Bentham <matthew.bentham@arm.com> | 2018-10-10 16:16:56 +0100 |
commit | 10b4dfd8e9ccd7a03df7bb053ee1c644cb37f8ab (patch) | |
tree | 1ac5b4f415531e2ef759439ab8e113f177bea7c5 /src/armnn/backends/RefWorkloads/FullyConnected.cpp | |
parent | a3f165624b2cdfbced674af5a6e11856b1e746d9 (diff) | |
download | armnn-10b4dfd8e9ccd7a03df7bb053ee1c644cb37f8ab.tar.gz |
IVGCVSW-1897 : build infrastructure for the src/backends folder
Change-Id: I7ebafb675ccc77ad54d1deb01412a8379a5356bb
Diffstat (limited to 'src/armnn/backends/RefWorkloads/FullyConnected.cpp')
-rw-r--r-- | src/armnn/backends/RefWorkloads/FullyConnected.cpp | 62 |
1 files changed, 0 insertions, 62 deletions
diff --git a/src/armnn/backends/RefWorkloads/FullyConnected.cpp b/src/armnn/backends/RefWorkloads/FullyConnected.cpp deleted file mode 100644 index bf5814d2ad..0000000000 --- a/src/armnn/backends/RefWorkloads/FullyConnected.cpp +++ /dev/null @@ -1,62 +0,0 @@ -// -// 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 |