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Merge pull request #1086 from trz42/2023.06-a64fx-2023a-eb491-apps-pytorch
{2023.06}[2023a,a64fx] PyTorch 2.1.2 originally built with EB 4.9.0
2 parents f850991 + 6e7676c commit 619777e

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easystacks/software.eessi.io/2023.06/a64fx/eessi-2023.06-eb-4.9.4-2023a.yml

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@@ -170,12 +170,12 @@ easyconfigs:
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# # see https://github.com/easybuilders/easybuild-easyblocks/pull/3036
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# include-easyblocks-from-pr: 3036
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- LAMMPS-2Aug2023_update2-foss-2023a-kokkos.eb
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## PR 19573 was included since EB 4.9.1
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## - PyTorch-2.1.2-foss-2023a.eb:
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## options:
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## # see https://github.com/easybuilders/easybuild-easyconfigs/pull/19573
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## from-pr: 19573
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# - PyTorch-2.1.2-foss-2023a.eb
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# PR 19573 was included since EB 4.9.1
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# - PyTorch-2.1.2-foss-2023a.eb:
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# options:
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# # see https://github.com/easybuilders/easybuild-easyconfigs/pull/19573
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# from-pr: 19573
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- PyTorch-2.1.2-foss-2023a.eb
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- matplotlib-3.7.2-gfbf-2023a.eb
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# PR 19554 was included since EB 4.9.1
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# - PyQt5-5.15.10-GCCcore-12.3.0.eb:

eb_hooks.py

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@@ -1286,6 +1286,9 @@ def set_maximum(parallel, max_value):
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'MBX': {
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'*': (divide_by_factor, 2),
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},
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'PyTorch': {
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CPU_TARGET_A64FX: (divide_by_factor, 4),
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},
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'TensorFlow': {
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'*': (divide_by_factor, 2),
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CPU_TARGET_A64FX: (set_maximum, 8),

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