xrrain
/ tied_linear.py
Created
July 20, 2021 02:37
— forked from InnovArul/tied_linear.py
tied linear layer experiment
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| import torch, torch.nn as nn, torch.nn.functional as F | |
| import numpy as np | |
| import torch.optim as optim | |
| # tied autoencoder using off the shelf nn modules | |
| class TiedAutoEncoderOffTheShelf(nn.Module): | |
| def __init__(self, inp, out, weight): | |
| super().__init__() | |
| self.encoder = nn.Linear(inp, out, bias=False) | |
| self.decoder = nn.Linear(out, inp, bias=False) |