releasing 1.2.1

Lightning-AI · Dec 1, 2023 · 3514d71 · 3514d71
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commit 3514d71
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diff --git a/.azure/gpu-unittests.yml b/.azure/gpu-unittests.yml
@@ -20,7 +20,6 @@ jobs:
  "PyTorch | old":
  # Torch does not have build wheels with old Torch versions for newer CUDA
  docker-image: "pytorchlightning/torchmetrics:ubuntu20.04-cuda11.1.1-py3.8-torch1.8.1"
- agent-pool: "lit-rtx-3090"
  torch-ver: "1.8.1"
  "PyTorch | 1.X":
  docker-image: "pytorchlightning/torchmetrics:ubuntu22.04-cuda11.8.0-py3.9-torch1.13"
@@ -76,6 +75,11 @@ jobs:
  pip list
  displayName: "Image info & NVIDIA"
 
+ - bash: |
+ python .github/assistant.py set-oldest-versions
+ condition: eq(variables['torch-ver'], '1.8.1')
+ displayName: "Setting oldest versions"
+
  - bash: |
  pip install -q packaging
  wget https://raw.githubusercontent.com/Lightning-AI/utilities/main/scripts/adjust-torch-versions.py

diff --git a/.github/workflows/ci-tests.yml b/.github/workflows/ci-tests.yml
@@ -32,7 +32,7 @@ jobs:
  matrix:
  os: ["ubuntu-20.04"]
  python-version: ["3.9"]
- pytorch-version: ["1.9.1", "1.10.2", "1.11.0", "1.12.1", "1.13.1", "2.0.1", "2.1.0"]
+ pytorch-version: ["1.10.2", "1.11.0", "1.12.1", "1.13.1", "2.0.1", "2.1.0"]
  include:
  - { os: "ubuntu-22.04", python-version: "3.8", pytorch-version: "1.13.1" }
  - { os: "ubuntu-22.04", python-version: "3.10", pytorch-version: "1.13.1" }
@@ -49,6 +49,7 @@ jobs:
  - { os: "windows-2022", python-version: "3.11", pytorch-version: "2.1.0" }
  # the oldest configurations
  - { os: "ubuntu-20.04", python-version: "3.8", pytorch-version: "1.8.1", requires: "oldest" }
+ - { os: "ubuntu-20.04", python-version: "3.8", pytorch-version: "1.9.1", requires: "oldest" }
  - { os: "macOS-11", python-version: "3.8", pytorch-version: "1.8.1", requires: "oldest" }
  - { os: "windows-2019", python-version: "3.8", pytorch-version: "1.8.1", requires: "oldest" }
  env:

diff --git a/CHANGELOG.md b/CHANGELOG.md
@@ -7,53 +7,31 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 **Note: we move fast, but still we preserve 0.1 version (one feature release) back compatibility.**
 
 
-## [UnReleased] - 2023-MM-DD
+## [1.2.1] - 2023-11-30
 
 ### Added
 
--
-
 - Added error if `NoTrainInceptionV3` is being initialized without `torch-fidelity` not being installed ([#2143](https://github.com/Lightning-AI/torchmetrics/pull/2143))
-
-
 - Added support for Pytorch v2.1 ([#2142](https://github.com/Lightning-AI/torchmetrics/pull/2142))
 
 ### Changed
 
 - Change default state of `SpectralAngleMapper` and `UniversalImageQualityIndex` to be tensors ([#2089](https://github.com/Lightning-AI/torchmetrics/pull/2089))
-
-
-- Use arange and repeat for deterministic bincount ([#2184](https://github.com/Lightning-AI/torchmetrics/pull/2184))
-
+- Use `arange` and repeat for deterministic bincount ([#2184](https://github.com/Lightning-AI/torchmetrics/pull/2184))
 
 ### Removed
 
-- Removed `lpips` third-party package as dependency of `LearnedPerceptualImagePatchSimilarity` metric ([#2230](https://github.com/Lightning-AI/torchmetrics/pull/2230))
-
+- Removed unused `lpips` third-party package as dependency of `LearnedPerceptualImagePatchSimilarity` metric ([#2230](https://github.com/Lightning-AI/torchmetrics/pull/2230))
 
 ### Fixed
 
 - Fixed numerical stability bug in `LearnedPerceptualImagePatchSimilarity` metric ([#2144](https://github.com/Lightning-AI/torchmetrics/pull/2144))
-
-
 - Fixed numerical stability issue in `UniversalImageQualityIndex` metric ([#2222](https://github.com/Lightning-AI/torchmetrics/pull/2222))
-
-
 - Fixed incompatibility for `MeanAveragePrecision` with `pycocotools` backend when too little `max_detection_thresholds` are provided ([#2219](https://github.com/Lightning-AI/torchmetrics/pull/2219))
-
-
 - Fixed support for half precision in Perplexity metric ([#2235](https://github.com/Lightning-AI/torchmetrics/pull/2235))
-
-
 - Fixed device and dtype for `LearnedPerceptualImagePatchSimilarity` functional metric ([#2234](https://github.com/Lightning-AI/torchmetrics/pull/2234))
-
-
 - Fixed bug in `Metric._reduce_states(...)` when using `dist_sync_fn="cat"` ([#2226](https://github.com/Lightning-AI/torchmetrics/pull/2226))
-
-
 - Fixed bug in `CosineSimilarity` where 2d is expected but 1d input was given ([#2241](https://github.com/Lightning-AI/torchmetrics/pull/2241))
-
-
 - Fixed bug in `MetricCollection` when using compute groups and `compute` is called more than once ([#2211](https://github.com/Lightning-AI/torchmetrics/pull/2211))
 
 

diff --git a/src/torchmetrics/__about__.py b/src/torchmetrics/__about__.py
@@ -1,4 +1,4 @@
-__version__ = "1.3.0dev"
+__version__ = "1.2.1"
 __author__ = "Lightning-AI et al."
 __author_email__ = "name@pytorchlightning.ai"
 __license__ = "Apache-2.0"

diff --git a/tests/unittests/image/test_perceptual_path_length.py b/tests/unittests/image/test_perceptual_path_length.py
@@ -204,5 +204,5 @@ def test_compare():
  )
  result = result[-1].cpu()
 
- assert 0.94 * result.mean() <= compare.mean() <= 1.06 * result.mean()
- assert 0.94 * result.std() <= compare.std() <= 1.06 * result.std()
+ assert 0.92 * result.mean() <= compare.mean() <= 1.08 * result.mean()
+ assert 0.92 * result.std() <= compare.std() <= 1.08 * result.std()