imggen

CA-ES/es.py

 import copy
 import math
 from tqdm import trange
-import multiprocessing as mp
 
 import numpy as np
 import torch
@@ -226,21 +225,4 @@ class ES:
                 self.writer.add_scalar("growth_loss/200", growth_loss[1], iteration)
                 save_image(torch.cat(pics, dim=0), '%s/pic/big%04d.png' % (self.logdir, iteration), nrow=1, padding=0)
                 save_model(self.net, self.logdir + "/models/model_" + str(iteration))
-  
-            # if mean_fit > -0.003: 
-            #     logging.info("Training goal reached, exiting")
-            #     break
-
-    def generate_graphic(self):
-        model = self.net
-        x_eval = tt(np.repeat(self.seed[None, ...], self.batch_size, 0))
-        pics = []
-        pics.append(to_rgb(x_eval).permute(0, 3, 1, 2))
-
-        for eval in range(40):
-            x_eval = model(x_eval)
-            if eval in [10, 20, 30, 39]: # frames to save img of
-                pics.append(to_rgb(x_eval).permute(0, 3, 1, 2))
-
-        save_image(torch.cat(pics, dim=0), '%s/graphic.png' % (self.logdir), nrow=len(pics), padding=0)
-        
\ No newline at end of file
+

interactive_CA/interactive.py

@@ -212,3 +212,22 @@ class Interactive:
                 print('Reached 400 iterations. Shutting down...')
                 pygame.quit()
                 sys.exit()
+
+
+    def generate_graphic(self):
+        model = self.net
+        x_eval = self.seedclone()
+        pics = []
+        pics.append(to_rgb(x_eval).permute(0, 3, 1, 2))
+
+        for eval in range(40):
+            x_eval = model(x_eval)
+            if eval in [4, 9, 20, 39]: # frames to save img of
+                if self.es:
+                    image = to_rgb(x_eval).permute(0, 3, 1, 2)
+                else:
+                    image = to_rgb_ad(x_eval[:, :4].detach().cpu())
+                pics.append(image)
+
+        save_image(torch.cat(pics, dim=0), '%s/graphic.png' % (self.logdir), nrow=len(pics), padding=0)
+        

interactive_CA/main.py

@@ -54,7 +54,7 @@ if __name__ == '__main__':
             "Logging directory '%s' not found in base folder" % args.logdir)
 
     match args.es:
-        case 'True': 
+        case 'True': #heh
             method = 'ES'
             args.es = True
         case 'False': 
@@ -76,3 +76,4 @@ if __name__ == '__main__':
     Interactive = Interactive(args)
 
     Interactive.interactive()
+    # Interactive.generate_graphic_es()

interactive_CA/run_all.py

@@ -33,20 +33,20 @@ models = [adam_nonsample_models, adam_sample_models,
 
 if __name__ == '__main__':
     # Run all models:
-    for i in models:
-        for model in i:
-            load_model = model[0]
-            emoji = model[1]
-            size = model[2]
-            es = model[3]
-            command = "python .\interactive_CA\main.py -i %s -s %i -l %s -e %r" % (emoji, size, load_model, es)
-            subprocess.run(command)
+    # for i in models:
+    #     for model in i:
+    #         load_model = model[0]
+    #         emoji = model[1]
+    #         size = model[2]
+    #         es = model[3]
+    #         command = "python .\interactive_CA\main.py -i %s -s %i -l %s -e %r" % (emoji, size, load_model, es)
+    #         subprocess.run(command)
 
     # # Run single model:
-    # model = models[3][2]
-    # load_model = model[0]
-    # emoji = model[1]
-    # size = model[2]
-    # es = model[3]
-    # command = "python .\interactive_CA\main.py -i %s -s %i -l %s -e %r" % (emoji, size, load_model, es)
-    # subprocess.run(command)
\ No newline at end of file
+    model = models[3][2]
+    load_model = model[0]
+    emoji = model[1]
+    size = model[2]
+    es = model[3]
+    command = "python .\interactive_CA\main.py -i %s -s %i -l %s -e %r" % (emoji, size, load_model, es)
+    subprocess.run(command)
\ No newline at end of file