# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: Apache-2.0
--- /usr/local/lib/python3.12/dist-packages/cosmos_predict2/tokenizers/tokenizer.py
+++ /usr/local/lib/python3.12/dist-packages/cosmos_predict2/tokenizers/tokenizer.py
@@ -705,7 +705,6 @@
     def count_param(self):
         return sum(p.numel() for p in self.model.parameters())
 
-    @torch.no_grad()
     def encode(self, videos):
         """
         videos: A list of videos each with shape [C, T, H, W].
@@ -718,7 +717,6 @@
         latent = latent.to(in_dtype)
         return latent
 
-    @torch.no_grad()
     def decode(self, zs):
         in_dtype = zs.dtype
         with self.context:
@@ -926,7 +924,6 @@
         )
         return num_chunks
 
-    @torch.no_grad()
     def encode(self, state: torch.Tensor) -> torch.Tensor:
         if not self.squeeze_for_image:
             assert state.shape[2] == 1, f"Expect the number of frames {state.shape[2]} to be 1"
@@ -945,7 +942,6 @@
         latent = latent.to(in_dtype)
         return latent
 
-    @torch.no_grad()
     def decode(self, state: torch.Tensor) -> torch.Tensor:
         assert state.shape[2] == 1, f"Expect the number of frames {state.shape[2]} to be 1"
         in_dtype = state.dtype