I am looking at using a generator to generate time series data.
Example code I am looking at is the
CausalConvGenerator in (pytorch-GAN-timeseries/convolutional_models.py at 8e7d62fed6f4061d13ec9dfd84e07520d4257ed2 · proceduralia/pytorch-GAN-timeseries · GitHub)
The generator currently takes
Input: (batch_size, seq_len, input_size) Output: (batch_size, seq_len, outputsize)
I am looking to modify this to instead take
Input: (batch_size, noise_dim) Output: (batch_size, seq_len, outputsize)
Would someone mind pointing me in the right direction on how to modify the architecture?