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- /*
- * MIT License
- *
- * Copyright (c) 2019 Alexey Edelev <semlanik@gmail.com>
- *
- * This file is part of NeuralNetwork project https://git.semlanik.org/semlanik/NeuralNetwork
- *
- * 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.
- */
- package remotecontrol
- import (
- "log"
- neuralnetworkbase "../neuralnetworkbase"
- "gonum.org/v1/gonum/mat"
- )
- type RemoteControl struct {
- }
- func (rw *RemoteControl) Init(nn *neuralnetworkbase.NeuralNetwork) {
- }
- func (rw *RemoteControl) UpdateActivations(l int, a *mat.Dense) {
- // matrix := NewLayerMatrix(l, a, LayerMatrix_Activations)
- }
- func (rw *RemoteControl) UpdateBiases(l int, biases *mat.Dense) {
- // matrix := NewLayerMatrix(l, biases, LayerMatrix_Biases)
- }
- func (rw *RemoteControl) UpdateWeights(l int, weights *mat.Dense) {
- // matrix := NewLayerMatrix(l, weights, LayerMatrix_Weights)
- }
- func NewLayerMatrix(l int, dense *mat.Dense, contentType LayerMatrix_ContentType) (matrix *LayerMatrix) {
- buffer, err := dense.MarshalBinary()
- if err != nil {
- log.Fatalln("Invalid dense is provided for remote control")
- }
- matrix = &LayerMatrix{
- Matrix: &Matrix{
- Matrix: buffer,
- },
- Layer: int32(l),
- ContentType: contentType,
- }
- return
- }
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