Merge branch 'dev' into generate_heatmap_transforms

Author: eclipse0922

CHANGELOG.md

@@ -5,6 +5,38 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 
 ## [Unreleased]
 
+## [1.5.1] - 2025-09-22
+
+## What's Changed
+### Added
+* PyTorch 2.7 and 2.8 support (#8429, #8530)
+* Create SECURITY.md (#8546)
+* Add kwargs in array and functional file (#8508)
+* Add .coderabbit.yaml File (#8513)
+* Add input validation to ImageStats class (#8501)
+* Add support for optional conditioning in PatchInferer, SliceInferer, and SlidingWindowInferer (#8400)
+* Add classifier free guidance unconditioned value (#8562)
+* Improved `DiffusionModelEncoder` to support output linear layers of different dimensions (#8578, #8580)
+
+### Fixed
+* Fix for insecure zip file extraction to address [GHSA-x6ww-pf9m-m73m](https://github.com/Project-MONAI/MONAI/security/advisories/GHSA-x6ww-pf9m-m73m) (#8568)
+* Fix for insecure use of `torch.load` and `pickle` to address [GHSA-6vm5-6jv9-rjpj](https://github.com/Project-MONAI/MONAI/security/advisories/GHSA-6vm5-6jv9-rjpj) and [GHSA-p8cm-mm2v-gwjm](https://github.com/Project-MONAI/MONAI/security/advisories/GHSA-p8cm-mm2v-gwjm) (#8566)
+* Torchvision fix for loading pretrained weights using current syntax (#8563)
+* Fix bug in MAISI vae (#8517)
+* Throw exception on invalid images in retinanet detector (#8515)
+* Fix: HistogramNormalized doc (#8543)
+* Fix build failure by pinning pyamg to versions below 5.3.0 (#8548)
+* Fix hardcoded input dim in DiffusionModelEncoder (#8514)
+* Fix for gdown downloading fails (#8576)
+
+### Changed
+* Update README badges to add research paper citations number (#8494)
+* CI: Add custom timeout to ci job in order to save resources (#8504)
+* Improve documentation on the datalist format (#8539)
+* Tests Cleanup and refactor (#8405, #8535)
+* Improve Orientation transform to use the "space" (LPS vs RAS) of a metatensor by default (#8473)
+* Updated supported version of Huggingface Transformers (#8574)
+
 ## [1.5.0] - 2025-06-13
 
 ## What's Changed
@@ -1229,7 +1261,8 @@ the postprocessing steps should be used before calling the metrics methods
 
 [highlights]: https://github.com/Project-MONAI/MONAI/blob/master/docs/source/highlights.md
 
-[Unreleased]: https://github.com/Project-MONAI/MONAI/compare/1.5.0...HEAD
+[Unreleased]: https://github.com/Project-MONAI/MONAI/compare/1.5.1...HEAD
+[1.5.1]: https://github.com/Project-MONAI/MONAI/compare/1.5.0...1.5.1
 [1.5.0]: https://github.com/Project-MONAI/MONAI/compare/1.4.0...1.5.0
 [1.4.0]: https://github.com/Project-MONAI/MONAI/compare/1.3.2...1.4.0
 [1.3.2]: https://github.com/Project-MONAI/MONAI/compare/1.3.1...1.3.2

CITATION.cff

@@ -6,8 +6,8 @@ title: "MONAI: Medical Open Network for AI"
 abstract: "AI Toolkit for Healthcare Imaging"
 authors:
   - name: "MONAI Consortium"
-date-released: 2025-06-13
-version: "1.5.0"
+date-released: 2025-09-22
+version: "1.5.1"
 identifiers:
   - description: "This DOI represents all versions of MONAI, and will always resolve to the latest one."
     type: doi

docs/source/whatsnew.rst

@@ -6,6 +6,7 @@ What's New
 .. toctree::
    :maxdepth: 1
 
+   whatsnew_1_5_1.md
    whatsnew_1_5.md
    whatsnew_1_4.md
    whatsnew_1_3.md

docs/source/whatsnew_1_5.md

@@ -1,5 +1,5 @@
 
-# What's new in 1.5 🎉🎉
+# What's new in 1.5
 
 - Support numpy 2.x and Pytorch 2.6
 - MAISI inference accelerate

docs/source/whatsnew_1_5_1.md

@@ -0,0 +1,12 @@
+
+# What's new in 1.5.1 🎉🎉
+
+This is a minor update for MONAI to address security concerns and improve compatibility with the newest PyTorch release.
+
+With the upgrade support for PyTorch 2.8, MONAI now directly support NVIDIA GeForce RTX 50 series GPUs and other Blackwell-based GPUs!
+
+- Support up to PyTorch 2.8.
+- Security fixes to address advisories [GHSA-x6ww-pf9m-m73m](https://github.com/Project-MONAI/MONAI/security/advisories/GHSA-x6ww-pf9m-m73m), [GHSA-6vm5-6jv9-rjpj](https://github.com/Project-MONAI/MONAI/security/advisories/GHSA-6vm5-6jv9-rjpj), and [GHSA-p8cm-mm2v-gwjm](https://github.com/Project-MONAI/MONAI/security/advisories/GHSA-p8cm-mm2v-gwjm),
+- Updated version of supported Huggingface Transformers library to address security advisories raised for it.
+- Updated Torchvision pretrained network loading to use current arguments.
+- Many minor fixes to identified issues, see release notes for details on merged PRs.

monai/networks/nets/diffusion_model_unet.py

@@ -34,7 +34,6 @@
 import math
 from collections.abc import Sequence
 from functools import reduce
-from typing import Optional
 
 import numpy as np
 import torch
@@ -2016,7 +2015,7 @@ def __init__(
 
         last_dim_flattened = int(reduce(lambda x, y: x * y, input_shape) * channels[-1])
 
-        self.out: Optional[nn.Module] = nn.Sequential(
+        self.out: nn.Module = nn.Sequential(
             nn.Linear(last_dim_flattened, 512), nn.ReLU(), nn.Dropout(0.1), nn.Linear(512, self.out_channels)
         )
 
@@ -2063,9 +2062,6 @@ def forward(
         h = h.reshape(h.shape[0], -1)
 
         # 5. out
-        self.out = nn.Sequential(
-            nn.Linear(h.shape[1], 512), nn.ReLU(), nn.Dropout(0.1), nn.Linear(512, self.out_channels)
-        )
         output: torch.Tensor = self.out(h)
 
         return output