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{ai}[foss/2024a] captum v0.8.0#24828

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smoors merged 1 commit intoeasybuilders:developfrom
JarneRenders:20251211144214_new_pr_captum080
Dec 12, 2025
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{ai}[foss/2024a] captum v0.8.0#24828
smoors merged 1 commit intoeasybuilders:developfrom
JarneRenders:20251211144214_new_pr_captum080

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(created using eb --new-pr)

JarneRenders added a commit to JarneRenders/easybuild-easyconfigs that referenced this pull request Dec 11, 2025
@github-actions github-actions bot added 2024a issues & PRs related to 2024a common toolchains update labels Dec 11, 2025
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Updated software captum-0.8.0-foss-2024a.eb

Diff against captum-0.5.0-foss-2022a.eb

easybuild/easyconfigs/c/captum/captum-0.5.0-foss-2022a.eb

diff --git a/easybuild/easyconfigs/c/captum/captum-0.5.0-foss-2022a.eb b/easybuild/easyconfigs/c/captum/captum-0.8.0-foss-2024a.eb
index 281fab5592..103eda088c 100644
--- a/easybuild/easyconfigs/c/captum/captum-0.5.0-foss-2022a.eb
+++ b/easybuild/easyconfigs/c/captum/captum-0.8.0-foss-2024a.eb
@@ -1,7 +1,7 @@
 easyblock = 'PythonBundle'
 
 name = 'captum'
-version = '0.5.0'
+version = '0.8.0'
 
 homepage = 'https://captum.ai/'
 description = """
@@ -9,19 +9,22 @@ Captum is a model interpretability and understanding library for PyTorch.
 Captum means comprehension in Latin and contains general purpose
 implementations of integrated gradients, saliency maps, smoothgrad, vargrad and
 others for PyTorch models. It has quick integration for models built with
-domain-specific libraries such as torchvision, torchtext, and others."""
+domain-specific libraries such as torchvision, torchtext, and others.
+"""
 
-toolchain = {'name': 'foss', 'version': '2022a'}
+toolchain = {'name': 'foss', 'version': '2024a'}
 
 dependencies = [
-    ('Python', '3.10.4'),
-    ('PyTorch', '1.12.0'),
-    ('matplotlib', '3.5.2'),
+    ('Python', '3.12.3'),
+    ('PyTorch', '2.6.0'),
+    ('matplotlib', '3.9.2'),
+    ('tqdm', '4.66.5'),
+    ('scikit-learn', '1.5.2'),
 ]
 
 exts_list = [
     (name, version, {
-        'checksums': ['84af2c8793d34c440a351793b5ca705b8542745e2dc8bc24afb1d9b86f3bf6ec'],
+        'checksums': ['73f2e5a07ffe6ac6647a6f12cd2f67f0d8f717329f150ddf08ef73cba0858d26'],
     }),
 ]
 
Diff against captum-0.5.0-foss-2022a-CUDA-11.7.0.eb

easybuild/easyconfigs/c/captum/captum-0.5.0-foss-2022a-CUDA-11.7.0.eb

diff --git a/easybuild/easyconfigs/c/captum/captum-0.5.0-foss-2022a-CUDA-11.7.0.eb b/easybuild/easyconfigs/c/captum/captum-0.8.0-foss-2024a.eb
index eda1c5b109..103eda088c 100644
--- a/easybuild/easyconfigs/c/captum/captum-0.5.0-foss-2022a-CUDA-11.7.0.eb
+++ b/easybuild/easyconfigs/c/captum/captum-0.8.0-foss-2024a.eb
@@ -1,8 +1,7 @@
 easyblock = 'PythonBundle'
 
 name = 'captum'
-version = '0.5.0'
-versionsuffix = '-CUDA-%(cudaver)s'
+version = '0.8.0'
 
 homepage = 'https://captum.ai/'
 description = """
@@ -10,20 +9,22 @@ Captum is a model interpretability and understanding library for PyTorch.
 Captum means comprehension in Latin and contains general purpose
 implementations of integrated gradients, saliency maps, smoothgrad, vargrad and
 others for PyTorch models. It has quick integration for models built with
-domain-specific libraries such as torchvision, torchtext, and others."""
+domain-specific libraries such as torchvision, torchtext, and others.
+"""
 
-toolchain = {'name': 'foss', 'version': '2022a'}
+toolchain = {'name': 'foss', 'version': '2024a'}
 
 dependencies = [
-    ('CUDA', '11.7.0', '', SYSTEM),
-    ('Python', '3.10.4'),
-    ('PyTorch', '1.12.0', '-CUDA-%(cudaver)s'),
-    ('matplotlib', '3.5.2'),
+    ('Python', '3.12.3'),
+    ('PyTorch', '2.6.0'),
+    ('matplotlib', '3.9.2'),
+    ('tqdm', '4.66.5'),
+    ('scikit-learn', '1.5.2'),
 ]
 
 exts_list = [
     (name, version, {
-        'checksums': ['84af2c8793d34c440a351793b5ca705b8542745e2dc8bc24afb1d9b86f3bf6ec'],
+        'checksums': ['73f2e5a07ffe6ac6647a6f12cd2f67f0d8f717329f150ddf08ef73cba0858d26'],
     }),
 ]
 

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Test report by @JarneRenders
SUCCESS
Build succeeded for 1 out of 1 (total: 46 secs) (1 easyconfigs in total)
node510.anansi.os - Linux Rocky Linux 9.6 (Blue Onyx), x86_64, AMD EPYC 9335 32-Core Processor, Python 3.9.21
See https://gist.github.com/JarneRenders/42fdde530083b908bbd299ba86e2acbd for a full test report.

@smoors
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smoors commented Dec 12, 2025

@boegelbot please test @ jsc-zen3

@smoors smoors added this to the next release (5.2.0?) milestone Dec 12, 2025
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lgtm

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@smoors: Request for testing this PR well received on jsczen3l1.int.jsc-zen3.fz-juelich.de

PR test command 'if [[ develop != 'develop' ]]; then EB_BRANCH=develop ./easybuild_develop.sh 2> /dev/null 1>&2; EB_PREFIX=/home/boegelbot/easybuild/develop source init_env_easybuild_develop.sh; fi; EB_PR=24828 EB_ARGS= EB_CONTAINER= EB_REPO=easybuild-easyconfigs EB_BRANCH=develop /opt/software/slurm/bin/sbatch --job-name test_PR_24828 --ntasks=8 ~/boegelbot/eb_from_pr_upload_jsc-zen3.sh' executed!

  • exit code: 0
  • output:
Submitted batch job 9103

Test results coming soon (I hope)...

Details

- notification for comment with ID 3645708351 processed

Message to humans: this is just bookkeeping information for me,
it is of no use to you (unless you think I have a bug, which I don't).

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Test report by @boegelbot
SUCCESS
Build succeeded for 1 out of 1 (total: 1 min 5 secs) (1 easyconfigs in total)
jsczen3c1.int.jsc-zen3.fz-juelich.de - Linux Rocky Linux 9.6, x86_64, AMD EPYC-Milan Processor (zen3), Python 3.9.21
See https://gist.github.com/boegelbot/a9cccb37067c26c3ad0924a72cd06404 for a full test report.

@smoors
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smoors commented Dec 12, 2025

Going in, thanks @JarneRenders!

@smoors smoors merged commit 64548ff into easybuilders:develop Dec 12, 2025
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