diff --git a/bob/devtools/data/conda_build_config.yaml b/bob/devtools/data/conda_build_config.yaml
index e6a14ab7b5e18d9e4bfdf521d26651fc1790908a..25736e1a1ce8bbf585eacdc9a78b6100f641c01b 100644
--- a/bob/devtools/data/conda_build_config.yaml
+++ b/bob/devtools/data/conda_build_config.yaml
@@ -5,53 +5,62 @@
# will target, not what subdir the compiler package will be itself.
# For example, we need a win-64 vs2008_win-32 package, so that we compile win-32
# code on win-64 miniconda.
-cross_compiler_target_platform: # [win]
- - win-64 # [win]
c_compiler:
- gcc # [linux]
- clang # [osx]
- - vs2017 # [win]
c_compiler_version: # [unix]
- - 11 # [osx]
- - 9 # [linux]
+ - 10 # [linux]
+ - 13 # [osx]
+ - 7 # [os.environ.get("CF_CUDA_ENABLED", "False") == "True" and linux64]
+ - 9 # [os.environ.get("CF_CUDA_ENABLED", "False") == "True" and linux64]
+ - 10 # [os.environ.get("CF_CUDA_ENABLED", "False") == "True" and linux64]
+ - 10 # [os.environ.get("CF_CUDA_ENABLED", "False") == "True" and linux64]
cxx_compiler:
- gxx # [linux]
- clangxx # [osx]
- - vs2017 # [win]
cxx_compiler_version: # [unix]
- - 11 # [osx]
- - 9 # [linux]
+ - 10 # [linux]
+ - 13 # [osx]
+ - 7 # [os.environ.get("CF_CUDA_ENABLED", "False") == "True" and linux64]
+ - 9 # [os.environ.get("CF_CUDA_ENABLED", "False") == "True" and linux64]
+ - 10 # [os.environ.get("CF_CUDA_ENABLED", "False") == "True" and linux64]
+ - 10 # [os.environ.get("CF_CUDA_ENABLED", "False") == "True" and linux64]
llvm_openmp: # [osx]
- - 11 # [osx]
+ - 13 # [osx]
fortran_compiler: # [unix or win64]
- gfortran # [linux64 or (osx and x86_64)]
- gfortran # [aarch64 or ppc64le or armv7l or s390x]
- - flang # [win64]
fortran_compiler_version: # [unix or win64]
+ - 10 # [linux]
- 11 # [osx and arm64]
- 9 # [osx and x86_64]
- - 9 # [linux]
- - 5 # [win64]
-m2w64_c_compiler: # [win]
- - m2w64-toolchain # [win]
-m2w64_cxx_compiler: # [win]
- - m2w64-toolchain # [win]
-m2w64_fortran_compiler: # [win]
- - m2w64-toolchain # [win]
-CMAKE_GENERATOR: # [win]
- - NMake Makefiles # [win]
+ - 7 # [os.environ.get("CF_CUDA_ENABLED", "False") == "True" and linux64]
+ - 9 # [os.environ.get("CF_CUDA_ENABLED", "False") == "True" and linux64]
+ - 10 # [os.environ.get("CF_CUDA_ENABLED", "False") == "True" and linux64]
+ - 10 # [os.environ.get("CF_CUDA_ENABLED", "False") == "True" and linux64]
-cuda_compiler: # [linux64]
- - nvcc # [linux64]
+cuda_compiler: # [linux or win]
+ - nvcc # [linux or win]
cuda_compiler_version:
- None
- - 10.2 # [linux64]
+ - 10.2 # [(linux64 or win) and os.environ.get("CF_CUDA_ENABLED", "False") == "True"]
+ - 11.0 # [(linux64 or win) and os.environ.get("CF_CUDA_ENABLED", "False") == "True"]
+ - 11.1 # [(linux64 or win) and os.environ.get("CF_CUDA_ENABLED", "False") == "True"]
+ - 11.2 # [(linux64 or win) and os.environ.get("CF_CUDA_ENABLED", "False") == "True"]
+cuda_compiler_version_min:
+ - None # [osx]
+ - 10.2 # [linux64 or win]
+ - 11.2 # [linux and (ppc64le or aarch64)]
cudnn:
- undefined
- - 7 # [linux64]
+ - 7 # [(linux64 or win) and os.environ.get("CF_CUDA_ENABLED", "False") == "True"]
+ - 8 # [(linux64 or win) and os.environ.get("CF_CUDA_ENABLED", "False") == "True"]
+ - 8 # [(linux64 or win) and os.environ.get("CF_CUDA_ENABLED", "False") == "True"]
+ - 8 # [(linux64 or win) and os.environ.get("CF_CUDA_ENABLED", "False") == "True"]
_libgcc_mutex:
- 0.1 conda_forge
+
#
# Go Compiler Options
#
@@ -345,23 +354,23 @@ package_names_map:
click:
- - 8.0.4
+ - 8.1.3
click_plugins:
- 1.1.1
cmake:
- - 3.22.2
+ - 3.23.2
coverage:
- - 6.3.2
+ - 6.4.1
dask:
- - 2022.2.0
+ - 2022.6.1
dask_jobqueue:
- 0.7.3
dask_ml:
- - 2022.1.22
+ - 2022.5.27
ddt:
- 1.4.1
distributed:
- - 2022.2.0
+ - 2022.6.1
docker_py:
- 5.0.3
docopt:
@@ -373,66 +382,66 @@ font_ttf_dejavu_sans_mono:
freetype:
- 2.10.4
graphviz:
- - 2.50.0
+ - 4.0.0
h5py:
- 3.6.0
imageio:
- - 2.16.1
+ - 2.19.3
imageio_ffmpeg:
- - 0.4.5
+ - 0.4.7
jinja2:
- 3.1.2
make:
- 4.3
matplotlib:
- - 3.5.1
+ - 3.5.2
ncurses:
- 6.3
nose:
- 1.3.7
numba:
- - 0.55.1
+ - 0.55.2
numpy:
- - 1.21.5
+ - 1.22.4
opencv:
- 4.5.5
pandas:
- - 1.4.1
+ - 1.4.3
pillow:
- - 9.0.1
+ - 9.1.1
pip:
- - 22.0.3
+ - 22.1.2
pkg_config:
- 0.29.2
psutil:
- - 5.9.0
+ - 5.9.1
pybind11:
- - 2.9.1
+ - 2.9.2
pytest:
- - 7.0.1
+ - 7.1.2
pytest_cov:
- 3.0.0
python_graphviz:
- - 0.19.1
+ - 0.20
pytorch:
- - 1.10.2 cuda* # [linux]
- - 1.10.2 # [osx]
+ - 1.11.0 cuda* # [linux]
+ - 1.11.0 # [osx]
pytorch_lightning:
- - 1.6.0
+ - 1.6.4
pyyaml:
- 6.0
pyzmq:
- - 22.3.0
+ - 23.2.0
requests:
- - 2.27.1
+ - 2.28.0
schema:
- 0.7.5
scikit_image:
- - 0.19.2
+ - 0.19.3
scikit_learn:
- - 1.0.2
+ - 1.1.1
scipy:
- - 1.8.0
+ - 1.8.1
setuptools:
- 59.5.0
simplejson:
@@ -440,25 +449,25 @@ simplejson:
six:
- 1.16.0
sphinx:
- - 4.4.0
+ - 5.0.2
sphinx_rtd_theme:
- 1.0.0
sphinxcontrib_programoutput:
- 0.16
sqlalchemy:
- - 1.4.31
+ - 1.4.39
tabulate:
- - 0.8.9
+ - 0.8.10
tensorflow:
- - 2.7.0 cuda* # [linux]
- - 2.7.0 # [osx]
+ - 2.8.1 cuda* # [linux]
+ - 2.8.1 # [osx]
termcolor:
- 1.1.0
torchvision:
- - 0.11.3
+ - 0.12.0
tqdm:
- - 4.62.3
+ - 4.64.0
xarray:
- - 0.21.1
+ - 2022.3.0
# AUTOMATIC PARSING END