cleanup imports for dev branch

patches/external_pr/ui.py

@@ -5,10 +5,9 @@ import os
 import random
 
 from modules import shared, sd_hijack, devices
-from modules.call_queue import wrap_gradio_call
+from modules.call_queue import wrap_gradio_call, wrap_gradio_gpu_call
 from modules.paths import script_path
 from modules.ui import create_refresh_button, gr_show
-from webui import wrap_gradio_gpu_call
 from .textual_inversion import train_embedding as train_embedding_external
 from .hypernetwork import train_hypernetwork as train_hypernetwork_external, train_hypernetwork_tuning
 import gradio as gr

scripts/hypernetwork-extensions.py

@@ -3,17 +3,15 @@ import os
 from modules.call_queue import wrap_gradio_call
 from modules.hypernetworks.ui import keys
 import modules.scripts as scripts
-from modules import script_callbacks, shared, sd_hijack
+from modules import script_callbacks, shared
 import gradio as gr
 
-from modules.paths import script_path
-from modules.ui import create_refresh_button, gr_show
+from modules.ui import  gr_show
 import patches.clip_hijack as clip_hijack
 import patches.textual_inversion as textual_inversion
 import patches.ui as ui
 import patches.shared as shared_patch
 import patches.external_pr.ui as external_patch_ui
-from webui import wrap_gradio_gpu_call
 
 setattr(shared.opts,'pin_memory', False)
 
@@ -125,6 +123,24 @@ def create_extension_tab2(params=None):
                     ],
                     outputs=[]
                 )
+            with gr.Row():
+                def track_vram_usage(*args):
+                    import torch
+                    import gc
+                    torch.cuda.empty_cache()
+                    gc.collect()
+                    for obj in gc.get_objects():
+                        try:
+                            if torch.is_tensor(obj) or (hasattr(obj, 'data') and torch.is_tensor(obj.data)):
+                                if obj.is_cuda:
+                                    print(type(obj), obj.size())
+                        except: pass
+                track_vram_usage_button = gr.Button(value="Track VRAM usage")
+                track_vram_usage_button.click(
+                    fn = track_vram_usage,
+                    inputs=[],
+                    outputs=[]
+                )
     return [(CLIP_test_interface, "CLIP_test", "clip_test")]
 
 def on_ui_settings():