Disable winograd on VAE with rdna2 and fix unet tuning. (#1313)

* Disable winograd on VAE with rdna2 and fix unet tuning.

* Fix batch size 1 downloads and clear_all on windows.

apps/stable_diffusion/src/utils/sd_annotation.py

@@ -233,11 +233,14 @@ def sd_model_annotation(mlir_model, model_name, base_model_id=None):
             winograd_model, lowering_config_dir, model_name, use_winograd
         )
     elif args.annotation_model == "vae" and device == "vulkan":
-        use_winograd = True
-        winograd_config_dir = load_winograd_configs()
-        tuned_model = annotate_with_winograd(
-            mlir_model, winograd_config_dir, model_name
-        )
+        if "rdna2" not in args.iree_vulkan_target_triple.split("-")[0]:
+            use_winograd = True
+            winograd_config_dir = load_winograd_configs()
+            tuned_model = annotate_with_winograd(
+                mlir_model, winograd_config_dir, model_name
+            )
+        else:
+            tuned_model = mlir_model
     else:
         use_winograd = False
         lowering_config_dir = load_lower_configs(base_model_id)

apps/stable_diffusion/src/utils/utils.py

@@ -141,6 +141,8 @@ def compile_through_fx(
     if use_tuned:
         if "vae" in extended_model_name.split("_")[0]:
             args.annotation_model = "vae"
+        if "unet" in model_name.split("_")[0]:
+            args.annotation_model = "unet"
         mlir_module = sd_model_annotation(
             mlir_module, extended_model_name, base_model_id
         )
@@ -663,7 +665,9 @@ def clear_all():
     if os.name == "nt":  # Windows
         appdata = os.getenv("LOCALAPPDATA")
         shutil.rmtree(os.path.join(appdata, "AMD/VkCache"), ignore_errors=True)
-        shutil.rmtree(os.path.join(home, "shark_tank"), ignore_errors=True)
+        shutil.rmtree(
+            os.path.join(home, ".local/shark_tank"), ignore_errors=True
+        )
     elif os.name == "unix":
         shutil.rmtree(os.path.join(home, ".cache/AMD/VkCache"))
         shutil.rmtree(os.path.join(home, ".local/shark_tank"))

shark/shark_downloader.py

@@ -196,7 +196,7 @@ def download_model(
     tank_url=None,
     frontend=None,
     tuned=None,
-    import_args={"batch_size": "1"},
+    import_args=None,
 ):
     model_name = model_name.replace("/", "_")
     dyn_str = "_dynamic" if dynamic else ""