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updates for tifffile, vigra, pytorch #2800

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updates for tifffile, vigra, pytorch #2800

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6 changes: 3 additions & 3 deletions conda-recipe/meta.yaml
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Expand Up @@ -53,10 +53,10 @@ outputs:
- python-elf >=0.4.8
- scikit-image
- scikit-learn
- tifffile
- tifffile >=2023
# build 1.11.1=*_1028 on cf is the first to be compatible with numpy>1.19
# need to bump this manually until there is a true version bump in vigra
- vigra
- vigra 1.11.2*
- xarray !=2023.8.0,!=2023.9.0,!=2023.10.0
- z5py
run_constrained:
Expand Down Expand Up @@ -152,7 +152,7 @@ outputs:
run:
- python 3.9.*
- ilastik-core {{ setup_py_data.version }}
- pytorch >=1.6
- pytorch >=2
- tiktorch 23.11.0*
- inferno
- torchvision
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6 changes: 3 additions & 3 deletions dev/environment-dev.yml
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Expand Up @@ -36,18 +36,18 @@ dependencies:
- scikit-learn
# for python 3.7 compatible environment use
# tiffile >2020.9.22,<=2021.11.2
- tifffile
- tifffile 2023*
# build 1.11.1=*_1028 on cf is the first to be compatible with numpy>1.19
# need to bump this manually until there is a true version bump in vigra
- vigra 1.11.1=*_1033
- vigra 1.11.2*
# xarray versions not compatible with numpy 1.21, 2023.08.0 might be, but lost trust
# 2023.10.1 correctly pins numpy to 1.22 and up
- xarray !=2023.8.0,!=2023.9.0,!=2023.10.0
- z5py

# Neural Network Workflow dependencies
# can be changed to request gpu versions
- pytorch 1.13.*
- pytorch 2*
- cpuonly # comment out for pytorch with cuda
# mamba does not "respect" track_features, which is the idea behind cpuonly,
# with ilastik-pytorch-version-helper-cpu we help mamba on linux and windows
Expand Down