snapshot...

modules/deeplearning/amv_raob.py

@@ -34,8 +34,6 @@ CACHE_GFS = True
 goes_cache_dir = data_dir + '/goes16'
 CACHE_GOES = True
 COPY_GOES = True
-if not COPY_GOES:
-    CACHE_GOES = False
 
 fmt = '%Y%j%H'
 
@@ -879,11 +877,12 @@ def get_images(lons, lats, timestamp, channel_list, half_width, step, do_norm=Fa
             data_r.append(images_r)
 
         # remove file from local cache
-        if not CACHE_GOES:
-            subprocess.call(['rm', local_path])
-            if TRIPLET or CONV3D:
-                subprocess.call(['rm', local_path_l])
-                subprocess.call(['rm', local_path_r])
+        if COPY_GOES:
+            if not CACHE_GOES:
+                subprocess.call(['rm', local_path])
+                if TRIPLET or CONV3D:
+                    subprocess.call(['rm', local_path_l])
+                    subprocess.call(['rm', local_path_r])
 
     return np.array(data), np.array(data_l), np.array(data_r), np.array(idxs)