コード例 #1
0
ファイル: convolution.cpp プロジェクト: ChengduoZhao/minerva
ImageBatch Convolution::ConvForward(ImageBatch src, Filter filter, NArray bias, ConvInfo info) {
  CHECK_EQ(src.GetNumFeatureMaps(), filter.GetNumInputs()) << "#input channels mismatch";
  CHECK_EQ(bias.Size().NumDims(), 1) << "bias dimension mismatch";
  CHECK_EQ(bias.Size()[0], filter.GetNumOutputs()) << "bias size mismatch";
  //no such limit
  //CHECK_EQ((src.GetHeight() + 2 * info.pad_height - filter.GetHeight()) % info.stride_vertical, 0) << "filter height mismatch";
  //CHECK_EQ((src.GetWidth() + 2 * info.pad_width - filter.GetWidth()) % info.stride_horizontal, 0) << "filter width mismatch";
  Scale new_size {
    (src.GetWidth() + 2 * info.pad_width - filter.GetWidth()) / info.stride_horizontal + 1,
    (src.GetHeight() + 2 * info.pad_height - filter.GetHeight()) / info.stride_vertical + 1,
    filter.GetNumOutputs(),
    src.GetNumImages()
  };
  ConvForwardOp* op = new ConvForwardOp();
  op->closure = {
    info.pad_height,
    info.pad_width,
    info.stride_vertical,
    info.stride_horizontal
  };
  return NArray::ComputeOne({src, filter, bias}, new_size, op);
}
コード例 #2
0
ファイル: convolution.cpp プロジェクト: ChengduoZhao/minerva
ImageBatch Convolution::ConvBackwardData(ImageBatch diff, ImageBatch bottom, Filter filter, ConvInfo info) {
  CHECK_EQ(diff.GetNumFeatureMaps(), filter.GetNumOutputs()) << "#output channels mismatch";
  /*
   * We can't get filter size when (top + 2*pad) % stride != 0
  Scale new_size {
    (diff.GetWidth() - 1) * info.stride_horizontal + filter.GetWidth() - 2 * info.pad_width,
    (diff.GetHeight() - 1) * info.stride_vertical + filter.GetHeight() - 2 * info.pad_height,
    filter.GetNumInputs(),
    diff.GetNumImages()
  };
  */
  ConvBackwardDataOp* op = new ConvBackwardDataOp();
  op->closure = {
    info.pad_height,
    info.pad_width,
    info.stride_vertical,
    info.stride_horizontal
  };
  return NArray::ComputeOne({diff, filter}, bottom.Size(), op);
}