diff --git a/.devcontainer/Dockerfile b/.devcontainer/Dockerfile
index b6675068974..26ce322d691 100644
--- a/.devcontainer/Dockerfile
+++ b/.devcontainer/Dockerfile
@@ -14,6 +14,8 @@ COPY requirements/ /tmp/pip-tmp/requirements/
 RUN \
     pip3 install awscli && \
     aws s3 sync --no-sign-request s3://sphinx-packages/ dist/  && \
+    # trying to resolve pesq installation issue
+    pip3 install -q "numpy<1.24" && \
     pip3 --disable-pip-version-check --no-cache-dir install \
       -r /tmp/pip-tmp/requirements/devel.txt \
       -r /tmp/pip-tmp/requirements/docs.txt \
diff --git a/.github/workflows/docker-build.yml b/.github/workflows/docker-build.yml
index 6716d422f47..a6ff994f985 100644
--- a/.github/workflows/docker-build.yml
+++ b/.github/workflows/docker-build.yml
@@ -27,7 +27,7 @@ jobs:
     strategy:
       fail-fast: false
       matrix:
-        python: ["3.9", "3.10"]
+        python: ["3.9", "3.10", "3.11"]
     steps:
       - name: Checkout
         uses: actions/checkout@v4
@@ -58,12 +58,13 @@ jobs:
       matrix:
         include:
           # These are the base images for PL release docker images,
-          # so include at least all of the combinations in release-dockers.yml.
+          #  so include at least all of the combinations in release-dockers.yml.
           - { python: "3.8", pytorch: "1.8.1", cuda: "11.1.1", ubuntu: "20.04" }
           - { python: "3.9", pytorch: "1.10", cuda: "11.8.0", ubuntu: "22.04" }
           - { python: "3.9", pytorch: "1.11", cuda: "11.8.0", ubuntu: "22.04" }
           - { python: "3.9", pytorch: "1.13", cuda: "11.8.0", ubuntu: "22.04" }
           - { python: "3.10", pytorch: "2.0", cuda: "11.8.0", ubuntu: "22.04" }
+          - { python: "3.11", pytorch: "2.0", cuda: "12.1.0", ubuntu: "22.04" }
     steps:
       - uses: actions/checkout@v4
 
@@ -74,7 +75,7 @@ jobs:
           username: ${{ secrets.DOCKER_USERNAME }}
           password: ${{ secrets.DOCKER_PASSWORD }}
 
-      - name: Build (and Push) Devcontainer
+      - name: Build (and Push) runner
         uses: docker/build-push-action@v5
         with:
           build-args: |
diff --git a/CHANGELOG.md b/CHANGELOG.md
index 7bcf3e90631..50e9482bb51 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -28,6 +28,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 
 ### Fixed
 
+- Fixed numerical stability bug in `LearnedPerceptualImagePatchSimilarity` metric  ([#2144](https://github.com/Lightning-AI/torchmetrics/pull/2144))
 
 
 ## [1.2.0] - 2023-09-22
diff --git a/dockers/ubuntu-cuda/Dockerfile b/dockers/ubuntu-cuda/Dockerfile
index b382279a869..ea8ab92ac45 100644
--- a/dockers/ubuntu-cuda/Dockerfile
+++ b/dockers/ubuntu-cuda/Dockerfile
@@ -82,8 +82,6 @@ RUN \
     done && \
     # trying to resolve pesq installation issue
     pip install -q "numpy<1.24" && \
-    # needed for the gpu multiprocessing
-    pip install "mkl-service==2.4.0" && \
     CUDA_VERSION_MM=${CUDA_VERSION%.*} && \
     CU_VERSION_MM=${CUDA_VERSION_MM//'.'/''} && \
     pip install --no-cache-dir -r requirements/devel.txt \
diff --git a/docs/source/conf.py b/docs/source/conf.py
index 3f116bd77d3..31ba5d1b81a 100644
--- a/docs/source/conf.py
+++ b/docs/source/conf.py
@@ -428,6 +428,9 @@ def _get_version_str():
 # skip false positive linkcheck errors from anchors
 linkcheck_anchors = False
 
+# A timeout value, in seconds, for the linkcheck builder.
+linkcheck_timeout = 10
+
 # ignore all links in any CHANGELOG file
 linkcheck_exclude_documents = [r"^(.*\/)*CHANGELOG.*$"]
 
diff --git a/docs/source/links.rst b/docs/source/links.rst
index 8c8dc593fe3..b2ffc6768c7 100644
--- a/docs/source/links.rst
+++ b/docs/source/links.rst
@@ -43,7 +43,7 @@
 .. _Mean-Average-Precision (mAP) and Mean-Average-Recall (mAR): https://jonathan-hui.medium.com/map-mean-average-precision-for-object-detection-45c121a31173
 .. _Tweedie Deviance Score: https://en.wikipedia.org/wiki/Tweedie_distribution#The_Tweedie_deviance
 .. _Permutation Invariant Training of Deep Models: https://ieeexplore.ieee.org/abstract/document/7952154
-.. _Top-label Calibration Error: https://arxiv.org/pdf/1909.10155.pdf
+.. _Top-label Calibration Error: https://arxiv.org/abs/1909.10155
 .. _Gradient Computation of Image: https://en.wikipedia.org/wiki/Image_gradient
 .. _R2 Score_Coefficient Determination: https://en.wikipedia.org/wiki/Coefficient_of_determination
 .. _Rank of element tensor: https://github.com/scipy/scipy/blob/v1.6.2/scipy/stats/stats.py#L4140-L4303
@@ -76,7 +76,7 @@
 .. _Python ROUGE Implementation: https://pypi.org/project/rouge-score/
 .. _Scikit_Learn-Ranking.py: https: //github.com/scikit-learn/scikit-learn/blob/master/sklearn/metrics/_ranking.py
 .. _Verified Uncertainty Calibration: https://arxiv.org/abs/1909.10155
-.. _SQuAD Metric: https://arxiv.org/pdf/1606.05250.pdf
+.. _SQuAD Metric: https://arxiv.org/abs/1606.05250
 .. _chrF score: https://aclanthology.org/W15-3049.pdf
 .. _chrF++ score: https://aclanthology.org/W17-4770.pdf
 .. _TER: https://aclanthology.org/2006.amta-papers.25.pdf
@@ -91,19 +91,19 @@
 .. _WIL: https://www.isca-speech.org/archive/interspeech_2004/morris04_interspeech.html
 .. _WIP: https://infoscience.epfl.ch/record/82766
 .. _TV: https://en.wikipedia.org/wiki/Total_variation_denoising
-.. _InfoLM: https://arxiv.org/pdf/2112.01589.pdf
+.. _InfoLM: https://arxiv.org/abs/2112.01589
 .. _alpha divergence: https://static.renyi.hu/renyi_cikkek/1961_on_measures_of_entropy_and_information.pdf
 .. _beta divergence: https://www.sciencedirect.com/science/article/pii/S0047259X08000456
 .. _AB divergence: https://pdfs.semanticscholar.org/744b/1166de34cb099100f151f3b1459f141ae25b.pdf
 .. _Rényi divergence: https://static.renyi.hu/renyi_cikkek/1961_on_measures_of_entropy_and_information.pdf
-.. _Fisher-Rao distance: https://arxiv.org/pdf/1711.01530.pdf
+.. _Fisher-Rao distance: https://arxiv.org/abs/1711.01530
 .. _Cramer's V: https://en.wikipedia.org/wiki/Cram%C3%A9r%27s_V
 .. _Kendall Rank Correlation Coefficient: https://en.wikipedia.org/wiki/Kendall_rank_correlation_coefficient
 .. _The Treatment of Ties in Ranking Problems: https://www.jstor.org/stable/2332303
-.. _LogCosh Error: https://arxiv.org/pdf/2101.10427.pdf
+.. _LogCosh Error: https://arxiv.org/abs/2101.10427
 .. _Tschuprow's T: https://en.wikipedia.org/wiki/Tschuprow%27s_T
 .. _Pearson's Contingency Coefficient: https://www.itl.nist.gov/div898/software/dataplot/refman2/auxillar/pearcont.htm
-.. _CLIP score: https://arxiv.org/pdf/2104.08718.pdf
+.. _CLIP score: https://arxiv.org/abs/2104.08718
 .. _Huggingface OpenAI: https://huggingface.co/openai
 .. _Theils Uncertainty coefficient: https://en.wikipedia.org/wiki/Uncertainty_coefficient
 .. _Perceptual Evaluation of Speech Quality: https://en.wikipedia.org/wiki/Perceptual_Evaluation_of_Speech_Quality
@@ -146,7 +146,7 @@
 .. _VIF: https://ieeexplore.ieee.org/abstract/document/1576816
 .. _CLIP-IQA: https://arxiv.org/abs/2207.12396
 .. _CLIP: https://arxiv.org/abs/2103.00020
-.. _PPL : https://arxiv.org/pdf/1812.04948
+.. _PPL : https://arxiv.org/abs/1812.04948
 .. _CIOU: https://arxiv.org/abs/2005.03572
 .. _DIOU: https://arxiv.org/abs/1911.08287v1
 .. _GIOU: https://arxiv.org/abs/1902.09630
diff --git a/requirements/typing.txt b/requirements/typing.txt
index 1ae2204f06b..5cf974f592c 100644
--- a/requirements/typing.txt
+++ b/requirements/typing.txt
@@ -1,4 +1,5 @@
-mypy==1.5.1
+mypy ==1.5.1
+torch ==2.0.0
 
 types-PyYAML
 types-emoji
diff --git a/src/torchmetrics/functional/image/lpips.py b/src/torchmetrics/functional/image/lpips.py
index d6480b4eea3..e6fa726f2ec 100644
--- a/src/torchmetrics/functional/image/lpips.py
+++ b/src/torchmetrics/functional/image/lpips.py
@@ -191,10 +191,10 @@ def _upsample(in_tens: Tensor, out_hw: Tuple[int, ...] = (64, 64)) -> Tensor:
     return nn.Upsample(size=out_hw, mode="bilinear", align_corners=False)(in_tens)
 
 
-def _normalize_tensor(in_feat: Tensor, eps: float = 1e-10) -> Tensor:
-    """Normalize tensors."""
-    norm_factor = torch.sqrt(torch.sum(in_feat**2, dim=1, keepdim=True))
-    return in_feat / (norm_factor + eps)
+def _normalize_tensor(in_feat: Tensor, eps: float = 1e-8) -> Tensor:
+    """Normalize input tensor."""
+    norm_factor = torch.sqrt(eps + torch.sum(in_feat**2, dim=1, keepdim=True))
+    return in_feat / norm_factor
 
 
 def _resize_tensor(x: Tensor, size: int = 64) -> Tensor: