forward
==============

.. js:function:: ConvolutionalLayer.forward() 

    順伝播

ソース
^^^^^^

.. code-block:: js

            forward() {
                var lap = new Lap(this.forwardTime);
    
                this.gpuForward();
    
                lap.Time();
    
                if(miniBatchIdx == 0 || Math_random() < 0.01){
    
                    var z_gpu_dt          = new Float32Array(this.z_.dt);
                    var y_gpu_dt = new Float32Array(this.y_.dt);
    
                    this.cpuForward();
    
                    var max_diff = 0;
    
                    // 出力先
                    var output_idx = 0;
                    for (var batch_idx = 0; batch_idx < miniBatchSize; batch_idx++) {
                        for (var channel_idx = 0; channel_idx < this.numChannels; channel_idx++) {
                            for (var r1 = 0; r1 < this.numRows; r1++) {
                                for (var c1 = 0; c1 < this.numCols; c1++) {
                                    var diff = Math.max(Math.abs(z_gpu_dt[output_idx] - this.z_.dt[output_idx]), Math.abs(y_gpu_dt[output_idx] - this.y_.dt[output_idx]));
                                    if (max_diff < diff) {
                                        if(0.001 < diff){
                                            console.log("CNN forward : %dx%d %d %d %d %d %f", this.numRows, this.numCols, batch_idx, channel_idx, r1, c1, diff)
                                        }
                                        max_diff = diff;
                                    }
                                    output_idx++;
                                }
                            }
                        }
                    }
                }
                lap.Time();
            }