cpuDeltaWeight¶
-
ConvolutionalLayer.
cpuDeltaWeight
()¶ CPUによるδweightの計算
ソース¶
cpuDeltaWeight() {
var prev_layer = this.prevLayer;
var num_rows_cols = this.numRows * this.numCols;
var prev_num_rows_cols = prev_layer.numRows * prev_layer.numCols;
// 出力のチャネルに対し
var weight_idx = 0;
for (var channel_idx = 0; channel_idx < this.numChannels; channel_idx++) {
// 入力のチャネルに対し
for(var prev_channel_idx = 0; prev_channel_idx < prev_layer.numChannels; prev_channel_idx++){
// フィルターの行に対し
for (var r2 = 0; r2 < this.filterSize; r2++) {
// フィルターの列に対し
for (var c2 = 0; c2 < this.filterSize; c2++) {
var delta_w = 0.0;
// 出力の行に対し
for (var r1 = 0; r1 < this.numRows; r1++) {
// 出力の列に対し
for (var c1 = 0; c1 < this.numCols; c1++) {
var delta_z_idx = channel_idx * num_rows_cols + r1 * (this.numCols | 0) + c1;
var prev_y_idx = prev_channel_idx * prev_num_rows_cols + (r1 + r2) * (prev_layer.numCols | 0) + (c1 + c2);
// バッチ内のデータに対し
for (var batch_idx = 0; batch_idx < miniBatchSize; batch_idx++) {
var delta = this.deltaZ.dt[delta_z_idx];
if (delta != 0) {
delta_w += delta * prev_layer.y_.dt[prev_y_idx];
}
delta_z_idx += this.unitSize;
prev_y_idx += (prev_layer.unitSize | 0);
}
}
}
this.deltaWeight.dt[weight_idx] = delta_w;
weight_idx++;
}
}
}
}
Assert(weight_idx == this.deltaWeight.dt.length);
}