fix: vae nsamples

Signed-off-by: Avik Basu <[email protected]>
numaproj · Jan 17, 2024 · 03faf8f · 03faf8f
1 parent 16c02f1
commit 03faf8f
Showing 1 changed file with 1 addition and 2 deletions.
diff --git a/numalogic/models/vae/variants/conv.py b/numalogic/models/vae/variants/conv.py
@@ -202,8 +202,7 @@ def forward(self, x: Tensor) -> tuple[MultivariateNormal, Tensor]:
  x = self.configure_shape(x)
  z_mu, z_logvar = self.encoder(x)
  p = MultivariateNormal(loc=z_mu, covariance_matrix=torch.diag_embed(z_logvar.exp()))
- samples = p.rsample(sample_shape=torch.Size([self.nsamples]))
- z = torch.mean(samples, dim=0)
+ z = p.rsample()
  x_recon = self.decoder(z)
  return p, x_recon