telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1 | // |
| 2 | // Copyright © 2017 Arm Ltd. All rights reserved. |
David Beck | ecb56cd | 2018-09-05 12:52:57 +0100 | [diff] [blame] | 3 | // SPDX-License-Identifier: MIT |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4 | // |
| 5 | |
| 6 | #include "FullyConnected.hpp" |
| 7 | |
| 8 | #include <boost/assert.hpp> |
| 9 | |
| 10 | namespace armnn |
| 11 | { |
| 12 | |
| 13 | void FullyConnected(const float* inputData, |
| 14 | float* outputData, |
| 15 | const TensorInfo& inputTensorInfo, |
| 16 | const TensorInfo& outputTensorInfo, |
| 17 | const float* weightData, |
| 18 | const float* biasData, |
| 19 | bool transposeWeights) |
| 20 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 21 | unsigned int N = outputTensorInfo.GetShape()[1]; // Outputs Vector Size. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 22 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 23 | BOOST_ASSERT(inputTensorInfo.GetNumDimensions() > 1); // Needs some data. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 24 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 25 | unsigned int K = 1; // Total number of activations in the input. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 26 | for (unsigned int i = 1; i < inputTensorInfo.GetNumDimensions(); i++) |
| 27 | { |
| 28 | K *= inputTensorInfo.GetShape()[i]; |
| 29 | } |
| 30 | |
| 31 | for (unsigned int n = 0; n < inputTensorInfo.GetShape()[0]; n++) |
| 32 | { |
| 33 | for (unsigned int channelOutput = 0; channelOutput < N; channelOutput++) |
| 34 | { |
| 35 | float outval = 0.f; |
| 36 | |
| 37 | for (unsigned int channelInput = 0; channelInput < K; channelInput++) |
| 38 | { |
| 39 | float weight; |
| 40 | if (transposeWeights) |
| 41 | { |
| 42 | weight = weightData[channelOutput * K + channelInput]; |
| 43 | } |
| 44 | else |
| 45 | { |
| 46 | weight = weightData[channelInput * N + channelOutput]; |
| 47 | } |
| 48 | |
| 49 | outval += weight * inputData[n * K + channelInput]; |
| 50 | } |
| 51 | |
| 52 | if (biasData) |
| 53 | { |
| 54 | outval += biasData[channelOutput]; |
| 55 | } |
| 56 | |
| 57 | outputData[n * N + channelOutput] = outval; |
| 58 | } |
| 59 | } |
| 60 | } |
| 61 | |
| 62 | } //namespace armnn |