diff --git a/algorithms/common/metrics/video/base_fid.py b/algorithms/common/metrics/video/base_fid.py
index d297e83..b4cf33b 100644
--- a/algorithms/common/metrics/video/base_fid.py
+++ b/algorithms/common/metrics/video/base_fid.py
@@ -3,7 +3,10 @@
 import torch
 from torch import Tensor
 from torchmetrics import Metric
-from torchmetrics.image import FrechetInceptionDistance as _FrechetInceptionDistance
+try:
+    from torchmetrics.image import FrechetInceptionDistance as _FrechetInceptionDistance
+except ImportError:
+    from torchmetrics.image.fid import FrechetInceptionDistance as _FrechetInceptionDistance
 from .shared_registry import SharedVideoMetricModelRegistry
 
 
diff --git a/algorithms/common/metrics/video/lpips.py b/algorithms/common/metrics/video/lpips.py
index 1b4090b..d5d5352 100644
--- a/algorithms/common/metrics/video/lpips.py
+++ b/algorithms/common/metrics/video/lpips.py
@@ -4,9 +4,18 @@
 from torchmetrics import Metric
 from torchmetrics.image.lpip import (
     LearnedPerceptualImagePatchSimilarity as _LearnedPerceptualImagePatchSimilarity,
-    _valid_img,
 )
-from torchmetrics.utilities.imports import _LPIPS_AVAILABLE
+try:
+    from torchmetrics.image.lpip import _valid_img
+except ImportError:
+    def _valid_img(img, normalize):
+        if normalize:
+            return img.min() >= 0.0 and img.max() <= 1.0 and img.shape[1] == 3
+        return img.min() >= -1.0 and img.max() <= 1.0 and img.shape[1] == 3
+try:
+    from torchmetrics.utilities.imports import _LPIPS_AVAILABLE
+except ImportError:
+    _LPIPS_AVAILABLE = True
 from .shared_registry import SharedVideoMetricModelRegistry
 from .types import VideoMetricModelType
 
diff --git a/algorithms/common/metrics/video/shared_registry.py b/algorithms/common/metrics/video/shared_registry.py
index 79a6525..3489277 100644
--- a/algorithms/common/metrics/video/shared_registry.py
+++ b/algorithms/common/metrics/video/shared_registry.py
@@ -1,7 +1,13 @@
 from typing import Dict, List
 from torch import nn, Tensor
-from torchmetrics.image.lpip import NoTrainLpips
-from torchmetrics.image.fid import NoTrainInceptionV3
+try:
+    from torchmetrics.image.lpip import NoTrainLpips
+except ImportError:
+    from torchmetrics.image.lpip import _NoTrainLpips as NoTrainLpips
+try:
+    from torchmetrics.image.fid import NoTrainInceptionV3
+except ImportError:
+    from torchmetrics.image.fid import _NoTrainInceptionV3 as NoTrainInceptionV3
 from utils.torch_utils import freeze_model
 from utils.print_utils import suppress_warnings
 from .models import I3D, MotionExtractor, CLIP, DINO, LAION, MUSIQ, RAFT, AMT_S
diff --git a/algorithms/dfot/dfot_video.py b/algorithms/dfot/dfot_video.py
index 2d41674..d3b7b43 100644
--- a/algorithms/dfot/dfot_video.py
+++ b/algorithms/dfot/dfot_video.py
@@ -537,7 +537,7 @@ def _predict_videos(
             sliding_context_len=self.cfg.tasks.prediction.sliding_context_len
             or self.max_tokens // 2,
         )
-        xs_pred[:, keyframe_indices] = xs_pred_key
+        xs_pred[:, keyframe_indices] = xs_pred_key.clone()
         # if is_rank_zero: # uncomment to visualize history guidance
         #     history_guidance.log(logger=self.logger)
 
diff --git a/requirements.txt b/requirements.txt
index d201dc6..49e9f71 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -21,13 +21,13 @@ internetarchive
 pytorchvideo
 scipy
 rotary_embedding_torch
-torchmetrics[image]==0.11.4
+torchmetrics[image]>=0.11.4
 # tfrecord[torch]
 # bezier
 timm
 zmq
 openai-clip
-pyiqa==0.1.10
+pyiqa>=0.1.10
 easydict
 zmq
 pytubefix