feat(mm): make hash.py a script for testing

invokeai/backend/model_manager/hash.py

@@ -7,8 +7,12 @@ from invokeai.backend.model_managre.model_hash import FastModelHash
 >>> FastModelHash.hash('/home/models/stable-diffusion-v1.5')
 'a8e693a126ea5b831c96064dc569956f'
 """
+import cProfile
 import os
+import pstats
+import threading
 from pathlib import Path
+from tempfile import TemporaryDirectory
 from typing import Union
 
 from blake3 import blake3
@@ -58,7 +62,7 @@ class FastModelHash(object):
                 # only tally tensor files because diffusers config files change slightly
                 # depending on how the model was downloaded/converted.
                 if file.endswith((".ckpt", ".safetensors", ".bin", ".pt", ".pth")):
-                    components.append((Path(root, file).as_posix()))
+                    components.append((Path(root, file).resolve().as_posix()))
 
         component_hashes: list[str] = []
 
@@ -68,3 +72,20 @@ class FastModelHash(object):
             component_hashes.append(file_hasher.hexdigest())
 
         return blake3(b"".join([bytes.fromhex(h) for h in component_hashes])).hexdigest()
+
+
+if __name__ == "__main__":
+    with TemporaryDirectory() as tempdir:
+        profile_path = Path(tempdir, "profile_results.pstats").as_posix()
+        profiler = cProfile.Profile()
+        profiler.enable()
+        t = threading.Thread(
+            target=FastModelHash.hash, args=("/media/rhino/invokeai/models/sd-1/main/stable-diffusion-v1-5-inpainting",)
+        )
+        t.start()
+        t.join()
+        profiler.disable()
+        stats = pstats.Stats(profiler).sort_stats(pstats.SortKey.TIME)
+        stats.dump_stats(profile_path)
+
+        os.system(f"snakeviz {profile_path}")