model_resblock {torchaudio} | R Documentation |
ResBlock
Description
ResNet block based on "Deep Residual Learning for Image Recognition". Pass the input through the ResBlock layer. The paper link is https://arxiv.org/pdf/1512.03385.pdf.
Usage
model_resblock(n_freq = 128)
Arguments
n_freq |
the number of bins in a spectrogram. (Default: |
Details
forward param: specgram (Tensor): the input sequence to the ResBlock layer (n_batch, n_freq, n_time).
Value
Tensor shape: (n_batch, n_freq, n_time)
Examples
if(torch::torch_is_installed()) {
resblock = model_resblock()
input = torch::torch_rand(10, 128, 512) # a random spectrogram
output = resblock(input) # shape: (10, 128, 512)
}
[Package torchaudio version 0.3.1 Index]