ema ckpt script

scripts/slimify.py

@@ -0,0 +1,20 @@
+import torch
+import argparse
+
+# orig_path = "logs/2022-09-02T06-46-25_pokemon_pokemon/checkpoints/epoch=000142.ckpt"
+# out_name = "pokemon-ema-only.ckpt"
+if __name__ == "__main__":
+    parser = argparse.ArgumentParser()
+    parser.add_argument("--original_ckpt", help="full size checkpoint file")
+    parser.add_argument("--output_path", help="filename for ema only checkpoint")
+    args = parser.parse_args()
+
+    print(f"loading from {args.original_ckpt}")
+    d = torch.load(args.original_ckpt, map_location="cpu")
+
+    new_d = {"state_dict": {}}
+    ema_state = {k: v for k, v in d["state_dict"].items() if not k.startswith("model.diffusion_model")}
+    new_d["state_dict"] = ema_state
+
+    print(f"saving to {args.output_path}")
+    torch.save(new_d, args.output_path)