classdef Layer < handle
    %LAYER Base class for a network layer in a DagNN
    
    properties (Access = {?dagnn.DagNN, ?dagnn.Layer}, Hidden, Transient)
        net
        layerIndex
    end
    
    methods
        function outputs = forward(obj, inputs, params)
            %FORWARD Forward step
            %  OUTPUTS = FORWARD(OBJ, INPUTS, PARAMS) takes the layer object OBJ
            %  and cell arrays of inputs and parameters and produces a cell
            %  array of outputs evaluating the layer forward.
            outputs = {} ;
        end
        
        function [derInputs, derParams] = backward(obj, inputs, params, derOutpus)
            %BACKWARD  Bacwkard step
            %  [DERINPUTS, DERPARAMS] = BACKWARD(OBJ, INPUTS, INPUTS, PARAMS,
            %  DEROUTPUTS) takes the layer object OBJ and cell arrays of
            %  inputs, parameters, and output derivatives and produces cell
            %  arrays of input and parameter derivatives evaluating the layer
            %  backward.
            derInputs = {} ;
            derOutputs = {} ;
        end
        
        function reset(obj)
            %RESET Restore internal state
            %  RESET(OBJ)resets the layer OBJ, clearing any internal state.
        end
        
        function params = initParams(obj)
            %INIT Initialize layer parameters
            %  PARAMS = INIT(OBJ) takes the layer OBJ and returns a cell
            %  array of layer parameters PARAMS with some initial
            %  (e.g. random) values.
            params = {} ;
        end
        
        function move(obj, device)
            %MOVE Move data to CPU or GPU
            %  MOVE(DESTINATION) moves the data associated to the layer object OBJ
            %  to either the 'gpu' or the 'cpu'. Note that variables and
            %  parameters are moved automatically by the DagNN object
            %  containing the layer, so this operation affects only data
            %  internal to the layer (e.g. the mask in dropout).
        end
        
        function forwardAdvanced(obj, layer)
            %FORWARDADVANCED  Advanced driver for forward computation
            %  FORWARDADVANCED(OBJ, LAYER) is the advanced interface to compute
            %  the forward step of the layer.
            %
            %  The advanced interface can be changed in order to extend DagNN
            %  non-trivially, or to optimise certain blocks.
            
            in = layer.inputIndexes ;
            out = layer.outputIndexes ;
            par = layer.paramIndexes ;
            net = obj.net ;
            
            inputs = {net.vars(in).value} ;
            
            % give up if any of the inputs is empty (this allows to run
            % subnetworks by specifying only some of the variables as input --
            % however it is somewhat dangerous as inputs could be legitimaly
            % empty)
            if any(cellfun(@isempty, inputs)), return ; end
            
            % clear inputs if not needed anymore
            for v = in
                net.numPendingVarRefs(v) = net.numPendingVarRefs(v) - 1 ;
                if net.numPendingVarRefs(v) == 0
                    if ~net.vars(v).precious & ~net.computingDerivative & net.conserveMemory
                        net.vars(v).value = [] ;
                    end
                end
            end
            
            %[net.vars(out).value] = deal([]) ;
            
            % call the simplified interface
            outputs = obj.forward(inputs, {net.params(par).value}) ;
            for oi = 1:numel(out)
                net.vars(out(oi)).value = outputs{oi};
            end
        end
        
        function backwardAdvanced(obj, layer)
            %BACKWARDADVANCED Advanced driver for backward computation
            %  BACKWARDADVANCED(OBJ, LAYER) is the advanced interface to compute
            %  the backward step of the layer.
            %
            %  The advanced interface can be changed in order to extend DagNN
            %  non-trivially, or to optimise certain blocks.
            in = layer.inputIndexes ;
            out = layer.outputIndexes ;
            par = layer.paramIndexes ;
            net = obj.net ;
            
            inputs = {net.vars(in).value} ;
            derOutputs = {net.vars(out).der} ;
            for i = 1:numel(derOutputs)
                if isempty(derOutputs{i}), return ; end
            end
            
            if net.conserveMemory
                % clear output variables (value and derivative)
                % unless precious
                for i = out
                    if net.vars(i).precious, continue ; end
                    net.vars(i).der = [] ;
                    net.vars(i).value = [] ;
                end
            end
            
            % compute derivatives of inputs and paramerters
            [derInputs, derParams] = obj.backward ...
                (inputs, {net.params(par).value}, derOutputs) ;
            if ~iscell(derInputs) || numel(derInputs) ~= numel(in)
                error('Invalid derivatives returned by layer "%s".', layer.name);
            end
            
            % accumuate derivatives
            for i = 1:numel(in)
                v = in(i) ;
                if net.numPendingVarRefs(v) == 0 || isempty(net.vars(v).der)
                    net.vars(v).der = derInputs{i} ;
                elseif ~isempty(derInputs{i})
                    net.vars(v).der = net.vars(v).der + derInputs{i} ;
                end
                net.numPendingVarRefs(v) = net.numPendingVarRefs(v) + 1 ;
            end
            
            for i = 1:numel(par)
                p = par(i) ;
                if (net.numPendingParamRefs(p) == 0 && ~net.accumulateParamDers) ...
                        || isempty(net.params(p).der)
                    net.params(p).der = derParams{i} ;
                else
                    net.params(p).der = vl_taccum(...
                        1, net.params(p).der, ...
                        1, derParams{i}) ;
                    %net.params(p).der = net.params(p).der + derParams{i} ;
                end
                net.numPendingParamRefs(p) = net.numPendingParamRefs(p) + 1 ;
                if net.numPendingParamRefs(p) == net.params(p).fanout
                    if ~isempty(net.parameterServer) && ~net.holdOn
                        net.parameterServer.pushWithIndex(p, net.params(p).der) ;
                        net.params(p).der = [] ;
                    end
                end
            end
        end
        
        function rfs = getReceptiveFields(obj)
            %GETRECEPTIVEFIELDS  Get receptive fields.
            %   RFS = GETRECEPTIVEFIELDS(OBJ) gets the receptive fields
            %   of each output varaibles in each input variable.
            %
            %   A *receptive field* is a structure with fields
            %
            %   - size: size of the receptive field
            %   - stride: stride of the receptive field
            %   - offset: offset of the receptive field
            %
            %   It should be interpreted as follows. Given a pixel of
            %   vertical coordinate u in an output variable OUT(y,...) , the first and last
            %   pixels affecting that pixel in an input variable IN(v,...) are:
            %
            %        v_first = stride(1) * (y - 1) + offset(1) - size(1)/2 + 1
            %        v_last  = stride(1) * (y - 1) + offset(1) + size(1)/2 + 1
            %
            %   RFS is a struct array of such structure, with one row for each
            %   input variable and one column for each output variable, expressing
            %   all possible combinations of inputs and outputs.
            rfs = [] ;
        end
        
        function outputSizes = getOutputSizes(obj, inputSizes)
            outputSizes = {} ;
        end
        
        function load(obj, varargin)
            %LOAD Initialize the layer from a paramter structure
            %  LOAD(OBJ, S) initializes the layer object OBJ from the parameter
            %  structure S.  It is the opposite of S = SAVE(OBJ).
            %
            %  LOAD(OBJ, OPT1, VAL1, OPT2, VAL2, ...) uses instead the
            %  option-value pairs to initialize the object properties.
            %
            %  LOAD(OBJ, {OPT1, VAL1, OPT2, VAL2, ...}) is an equivalent form
            %  to the previous call.
            s = dagnn.Layer.argsToStruct(varargin{:}) ;
            for f = fieldnames(s)'
                fc = char(f) ;
                if ~isprop(obj, fc)
                    error('No property `%s` for a layer of type `%s`.', ...
                        fc, class(obj));
                end;
                obj.(fc) = s.(fc) ;
            end
        end
        
        function s = save(obj)
            %SAVE Save the layer configuration to a parameter structure
            %  S = SAVE(OBJ) extracts all the properties of the layer object OBJ
            %  as a structure S. It is the oppostie of LOAD(OBJ, S).
            %
            %  By default, properties that are marked as transient,
            %  dependent, abstract, or private in the layer object are not
            %  saved.
            s = struct ;
            m = metaclass(obj) ;
            for p = m.PropertyList'
                if p.Transient || p.Dependent || p.Abstract, continue ; end
                s.(p.Name) = obj.(p.Name) ;
            end
        end
        
        function attach(obj, net, index)
            %ATTACH  Attach the layer to a DAG.
            %   ATTACH(OBJ, NET, INDEX). Override this function to
            %   configure parameters or variables.
            obj.net = net ;
            obj.layerIndex = index ;
            for input = net.layers(index).inputs
                net.addVar(char(input)) ;
            end
            for output = net.layers(index).outputs
                net.addVar(char(output)) ;
            end
            for param = net.layers(index).params
                net.addParam(char(param)) ;
                p = net.getParamIndex(char(param)) ;
            end
        end
        
    end % methods
    
    methods (Static)
        function s = argsToStruct(varargin)
            %ARGSTOSTRUCT  Convert varadic arguments to structure
            %  S = ARGSTOSTRCUT('opt1', val1, ....) converts the list of options
            %  into a structure.
            %
            %  S = ARGSTOSTRUCT({'opt1', val1, ...}) is equivalent to the
            %  previous call.
            %
            %  S = ARGSTOSTRUCT(S) where S is a structure returns S as is.
            
            if numel(varargin) == 1 && isstruct(varargin{1})
                s = varargin{1} ;
            else
                if numel(varargin) == 1 && iscell(varargin{1})
                    args = varargin{1} ;
                else
                    args = varargin ;
                end
                s = cell2struct(args(2:2:end),args(1:2:end),2) ;
            end
        end
    end
    
end % classdef

aimerykong
github-repos/MATLAB/aimerykong-Recurrent-Pixel-Embedding-for-Instance-Grouping/Recurrent-Pixel-Embedding-for-Instance-Grouping-748ade6b969c7861c2a9009cd0f0ffb27004677c/libs/matconvnet-1.0-beta23_modifiedDagnn/matlab/+dagnn/Layer.m
Recurrent-Pixel-Embedding-for-Instance-Grouping
github-repos/MATLAB/aimerykong-Recurrent-Pixel-Embedding-for-Instance-Grouping
748ade6b969c7861c2a9009cd0f0ffb27004677c