From: François Fleuret <francois@fleuret.org>
Date: Sun, 3 Mar 2024 11:17:56 +0000 (+0100)
Subject: Update.
X-Git-Url: https://fleuret.org/cgi-bin/gitweb/gitweb.cgi?a=commitdiff_plain;h=dacb655fd1541d0e08e53ba4c3f15f47baab99cc;p=pytorch.git

Update.
---

diff --git a/tiny_vae.py b/tiny_vae.py
index b81df9a..cba42e1 100755
--- a/tiny_vae.py
+++ b/tiny_vae.py
@@ -141,7 +141,7 @@ class ImageGivenLatentNet(nn.Module):
     def forward(self, z):
         output = self.model(z.view(z.size(0), -1, 1, 1))
         mu, log_var = output[:, 0:1], output[:, 1:2]
-        # log_var.flatten(1)[...]=log_var.flatten(1)[:,:1]
+        log_var.flatten(1)[...] = log_var.flatten(1)[:, :1]
         return mu, log_var
 
 
@@ -234,14 +234,16 @@ z = sample_gaussian(param_q_Z_given_x)
 param_p_X_given_z = model_p_X_given_z(z)
 x = sample_gaussian(param_p_X_given_z)
 save_image(x, "output.png")
+save_image(param_p_X_given_z[0], "output_mean.png")
 
 # Generate a bunch of images
 
 z = sample_gaussian(
-    param_p_Z[0].expand(x.size(0), -1), param_p_Z[1].expand(x.size(0), -1)
+    (param_p_Z[0].expand(x.size(0), -1), param_p_Z[1].expand(x.size(0), -1))
 )
 param_p_X_given_z = model_p_X_given_z(z)
 x = sample_gaussian(param_p_X_given_z)
 save_image(x, "synth.png")
+save_image(param_p_X_given_z[0], "synth_mean.png")
 
 ######################################################################