Spaces:
Sleeping
Sleeping
spacing
Browse files
app.py
CHANGED
|
@@ -168,11 +168,11 @@ generate_imgs_from_dataset_partial = partial(generate_imgs_from_dataset, model=r
|
|
| 168 |
generate_random_imgs_from_dataset_partial = partial(generate_random_imgs_from_dataset, model=ram_model, metrics=psnr)
|
| 169 |
|
| 170 |
|
|
|
|
|
|
|
| 171 |
print(f"[Init] CUDA max allocated: {torch.cuda.max_memory_allocated() / 1024**2:.2f} MB")
|
| 172 |
print(f"[Init] CUDA max reserved: {torch.cuda.max_memory_reserved() / 1024**2:.2f} MB")
|
| 173 |
|
| 174 |
-
### Gradio Blocks interface
|
| 175 |
-
|
| 176 |
title = "Inverse problem playground" # displayed on gradio tab and in the gradio page
|
| 177 |
with gr.Blocks(title=title, theme=gr.themes.Glass()) as interface:
|
| 178 |
gr.Markdown("## " + title)
|
|
@@ -188,6 +188,7 @@ with gr.Blocks(title=title, theme=gr.themes.Glass()) as interface:
|
|
| 188 |
|
| 189 |
print(f"[Render] CUDA max allocated: {torch.cuda.max_memory_allocated() / 1024**2:.2f} MB")
|
| 190 |
print(f"[Render] CUDA max reserved: {torch.cuda.max_memory_reserved() / 1024**2:.2f} MB")
|
|
|
|
| 191 |
@gr.render(inputs=[dataset_placeholder, physics_placeholder, available_physics_placeholder])
|
| 192 |
def dynamic_layout(dataset, physics, available_physics):
|
| 193 |
### LAYOUT
|
|
|
|
| 168 |
generate_random_imgs_from_dataset_partial = partial(generate_random_imgs_from_dataset, model=ram_model, metrics=psnr)
|
| 169 |
|
| 170 |
|
| 171 |
+
### Gradio Blocks interface
|
| 172 |
+
|
| 173 |
print(f"[Init] CUDA max allocated: {torch.cuda.max_memory_allocated() / 1024**2:.2f} MB")
|
| 174 |
print(f"[Init] CUDA max reserved: {torch.cuda.max_memory_reserved() / 1024**2:.2f} MB")
|
| 175 |
|
|
|
|
|
|
|
| 176 |
title = "Inverse problem playground" # displayed on gradio tab and in the gradio page
|
| 177 |
with gr.Blocks(title=title, theme=gr.themes.Glass()) as interface:
|
| 178 |
gr.Markdown("## " + title)
|
|
|
|
| 188 |
|
| 189 |
print(f"[Render] CUDA max allocated: {torch.cuda.max_memory_allocated() / 1024**2:.2f} MB")
|
| 190 |
print(f"[Render] CUDA max reserved: {torch.cuda.max_memory_reserved() / 1024**2:.2f} MB")
|
| 191 |
+
|
| 192 |
@gr.render(inputs=[dataset_placeholder, physics_placeholder, available_physics_placeholder])
|
| 193 |
def dynamic_layout(dataset, physics, available_physics):
|
| 194 |
### LAYOUT
|