I’m porting the Wave-U-Net from tensorflow to mxnet and I need to upsample the 3D audio features with bilinear interpolation. However, there’s no bilinear upsampling operator in mxnet for 1D audio data ( 3d feature map of shape
[batch_size, channels, length]).
First, I use
mx.nd.contrib.BilinearResize2D by reshaping the feature from
[B, C, T] to
[B, C, T, 1]. But the question is, the width and height of BilinearResize2D are in
int16_t and my
T is larger than 65535. Also the
mx.init.Bilinear does not support weight less than 3 dimensions.
How to implement BilinearResize1D in mxnet gluon?