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License: BSD 3-Clause "New" or "Revised" License
keras-tuner-feedstock's Issues
tensorflow=2.10.0 to 2.11.1 are incompatible with latest keras-tuner=1.3.4 (python 3.10) [protobuf version limit]
Solution to issue cannot be found in the documentation.
- I checked the documentation.
Issue
Hello,
I tried to install keras-tuner=1.3.4 with tensorflow=2.10 to tensorflow=2.11.1 in linux-64 with python=3.10.
They are incompatible and the order of installation does not no matter.
tensorflow=2.9.1 works with python=3.10.8
install commands:
✓ mamba install tensorflow=2.9.1 keras-tuner=1.3.4 -c conda-forge (python=3.10.8)
✕ mamba install tensorflow=2.10 keras-tuner=1.3.4 -c conda-forge
✕ mamba install tensorflow=2.11.0 keras-tuner=1.3.4 -c conda-forge
✕ mamba install tensorflow=2.11.1 keras-tuner=1.3.4 -c conda-forge
Error outputs:
└─ tensorflow 2.10** is installable with the potential options
├─ tensorflow 2.10.0 would require
│ └─ tensorflow-base 2.10.0 cpu_py310hc537a0e_0, which requires
│ └─ libprotobuf >=3.21.6,<3.22.0a0 , which conflicts with any installable versions previously reported;
└─ tensorflow 2.11.0** is installable with the potential options
├─ tensorflow 2.11.0 would require
│ └─ tensorflow-base [2.11.0 cpu_py310*_0|2.11.0 cuda112py310*_0], which requires
│ └─ libprotobuf >=3.21.11,<3.22.0a0 , which conflicts with any installable versions previously reported;
└─ tensorflow 2.11.1** is installable with the potential options
├─ tensorflow 2.11.1 would require
│ └─ tensorflow-base [2.11.1 cpu_py310h335d60c_0|2.11.1 cuda112py310h4c92a00_0], which requires
│ └─ libprotobuf >=3.21.12,<3.22.0a0 , which conflicts with any installable versions previously reported;
keras-tuner=1.3.4 on python 3.10 requires protobuf=3.20.3 which requiers libprotobuf=3.20.3. They are all available on conda-forge.
Installed packages
# packages in environment at /home/me/software/mambaforge/envs/img:
#
# Name Version Build Channel
_libgcc_mutex 0.1 conda_forge conda-forge
_openmp_mutex 4.5 2_gnu conda-forge
bzip2 1.0.8 h7f98852_4 conda-forge
ca-certificates 2022.12.7 ha878542_0 conda-forge
ld_impl_linux-64 2.40 h41732ed_0 conda-forge
libffi 3.4.2 h7f98852_5 conda-forge
libgcc-ng 12.2.0 h65d4601_19 conda-forge
libgomp 12.2.0 h65d4601_19 conda-forge
libnsl 2.0.0 h7f98852_0 conda-forge
libsqlite 3.40.0 h753d276_0 conda-forge
libuuid 2.38.1 h0b41bf4_0 conda-forge
libzlib 1.2.13 h166bdaf_4 conda-forge
ncurses 6.3 h27087fc_1 conda-forge
openssl 3.1.0 h0b41bf4_0 conda-forge
pip 23.0.1 pyhd8ed1ab_0 conda-forge
python 3.10.10 he550d4f_0_cpython conda-forge
readline 8.2 h8228510_1 conda-forge
setuptools 67.6.1 pyhd8ed1ab_0 conda-forge
tk 8.6.12 h27826a3_0 conda-forge
tzdata 2023c h71feb2d_0 conda-forge
wheel 0.40.0 pyhd8ed1ab_0 conda-forge
xz 5.2.6 h166bdaf_0 conda-forgeEnvironment info
active environment : img
active env location : /home/me/software/mambaforge/envs/img
shell level : 10
user config file : /home/me/.condarc
populated config files : /home/me/software/mambaforge/.condarc
/home/me/.condarc
conda version : 23.3.1
conda-build version : not installed
python version : 3.10.10.final.0
virtual packages : __archspec=1=x86_64
__cuda=12.1=0
__glibc=2.37=0
__linux=5.15.90.1=0
__unix=0=0
base environment : /home/me/software/mambaforge (writable)
conda av data dir : /home/me/software/mambaforge/etc/conda
conda av metadata url : None
channel URLs : https://conda.anaconda.org/conda-forge/linux-64
https://conda.anaconda.org/conda-forge/noarch
package cache : /home/me/software/mambaforge/pkgs
/home/me/.conda/pkgs
envs directories : /home/me/software/mambaforge/envs
/home/me/.conda/envs
platform : linux-64
user-agent : conda/23.3.1 requests/2.28.2 CPython/3.10.10 Linux/5.15.90.1-microsoft-standard-WSL2 opensuse-tumbleweed/20230407 glibc/2.37
UID:GID : 1000:1000
netrc file : None
offline mode : False@conda-forge-admin, please add user @anselmoo
Additional comment:
The current keras-tuner version has been outdated for several months.
keras-tuner 1.3.5 only claims compatibility with python >=3.8
Solution to issue cannot be found in the documentation.
- I checked the documentation.
Issue
The conda-forge packages for keras-tuner v1.3.5 show python >=3.7 as dependencies. However, according to the keras-tuner README, v1.3.5 of keras-tuner claims to need python >=3.8.
Installed packages
N/AEnvironment info
N/AUpdate dependency and add `pip check`
Solution to issue cannot be found in the documentation.
- I checked the documentation.
Issue
Some of the dependencies of https://github.com/keras-team/keras-tuner/blob/master/setup.py are currently outdated in the currently used recipe.
Installed packages
# packages in environment at /Users/user/.pyenv/versions/miniconda3-latest/envs/feedstock:
#
# Name Version Build Channel
beautifulsoup4 4.11.1 pyha770c72_0 conda-forge
brotlipy 0.7.0 py310h8e9501a_1005 conda-forge
bzip2 1.0.8 h3422bc3_4 conda-forge
ca-certificates 2022.12.7 h4653dfc_0 conda-forge
cctools 973.0.1 hcbb26d4_11 conda-forge
cctools_osx-arm64 973.0.1 hef52d2f_11 conda-forge
certifi 2022.12.7 pyhd8ed1ab_0 conda-forge
cffi 1.15.1 py310h2399d43_3 conda-forge
chardet 5.1.0 py310hbe9552e_0 conda-forge
charset-normalizer 2.1.1 pyhd8ed1ab_0 conda-forge
colorama 0.4.6 pyhd8ed1ab_0 conda-forge
conda 22.11.1 py310hbe9552e_1 conda-forge
conda-build 3.23.3 py310hbe9552e_1 conda-forge
conda-package-handling 2.0.2 pyh38be061_0 conda-forge
conda-package-streaming 0.7.0 pyhd8ed1ab_1 conda-forge
cryptography 38.0.4 py310hfc83b78_0 conda-forge
filelock 3.9.0 pyhd8ed1ab_0 conda-forge
glob2 0.7 py_0 conda-forge
icu 70.1 h6b3803e_0 conda-forge
idna 3.4 pyhd8ed1ab_0 conda-forge
jinja2 3.1.2 pyhd8ed1ab_1 conda-forge
ld64 609 h619f069_11 conda-forge
ld64_osx-arm64 609 h7167370_11 conda-forge
libarchive 3.6.2 h83f22c9_0 conda-forge
libcxx 14.0.6 h2692d47_0 conda-forge
libffi 3.4.2 h3422bc3_5 conda-forge
libiconv 1.17 he4db4b2_0 conda-forge
liblief 0.12.3 hb7217d7_0 conda-forge
libllvm14 14.0.6 hf6e71e7_1 conda-forge
libsqlite 3.40.0 h76d750c_0 conda-forge
libxml2 2.10.3 h87b0503_0 conda-forge
libzlib 1.2.13 h03a7124_4 conda-forge
lz4-c 1.9.3 hbdafb3b_1 conda-forge
lzo 2.10 h642e427_1000 conda-forge
markupsafe 2.1.1 py310h8e9501a_2 conda-forge
ncurses 6.3 h07bb92c_1 conda-forge
openssl 3.0.7 h03a7124_2 conda-forge
patch 2.7.6 h27ca646_1002 conda-forge
pip 22.3.1 pyhd8ed1ab_0 conda-forge
pkginfo 1.9.2 pyhd8ed1ab_0 conda-forge
pluggy 1.0.0 pyhd8ed1ab_5 conda-forge
psutil 5.9.4 py310h8e9501a_0 conda-forge
py-lief 0.12.3 py310h0f1eb42_0 conda-forge
pycosat 0.6.4 py310h8e9501a_1 conda-forge
pycparser 2.21 pyhd8ed1ab_0 conda-forge
pyopenssl 22.1.0 pyhd8ed1ab_0 conda-forge
pysocks 1.7.1 pyha2e5f31_6 conda-forge
python 3.10.8 h3ba56d0_0_cpython conda-forge
python-libarchive-c 4.0 py310hbe9552e_2 conda-forge
python_abi 3.10 3_cp310 conda-forge
pytz 2022.7 pyhd8ed1ab_0 conda-forge
pyyaml 6.0 py310h8e9501a_5 conda-forge
readline 8.1.2 h46ed386_0 conda-forge
requests 2.28.1 pyhd8ed1ab_1 conda-forge
ripgrep 13.0.0 h65448a5_2 conda-forge
ruamel.yaml 0.17.21 py310h8e9501a_2 conda-forge
ruamel.yaml.clib 0.2.7 py310h8e9501a_1 conda-forge
setuptools 65.6.3 pyhd8ed1ab_0 conda-forge
sigtool 0.1.3 h44b9a77_0 conda-forge
six 1.16.0 pyh6c4a22f_0 conda-forge
soupsieve 2.3.2.post1 pyhd8ed1ab_0 conda-forge
tapi 1100.0.11 he4954df_0 conda-forge
tk 8.6.12 he1e0b03_0 conda-forge
toml 0.10.2 pyhd8ed1ab_0 conda-forge
toolz 0.12.0 pyhd8ed1ab_0 conda-forge
tqdm 4.64.1 pyhd8ed1ab_0 conda-forge
tzdata 2022g h191b570_0 conda-forge
urllib3 1.26.13 pyhd8ed1ab_0 conda-forge
wheel 0.38.4 pyhd8ed1ab_0 conda-forge
xz 5.2.6 h57fd34a_0 conda-forge
yaml 0.2.5 h3422bc3_2 conda-forge
zstandard 0.19.0 py310had9512b_1 conda-forge
zstd 1.5.2 h8128057_4 conda-forgeEnvironment info
active environment : feedstock
active env location : /Users/user/.pyenv/versions/miniconda3-latest/envs/feedstock
shell level : 1
user config file : /Users/user/.condarc
populated config files : /Users/user/.condarc
conda version : 4.12.0
conda-build version : not installed
python version : 3.9.15.final.0
virtual packages : __osx=13.1=0
__unix=0=0
__archspec=1=arm64
base environment : /Users/user/.pyenv/versions/miniconda3-latest (writable)
conda av data dir : /Users/user/.pyenv/versions/miniconda3-latest/etc/conda
conda av metadata url : None
channel URLs : https://conda.anaconda.org/conda-forge/osx-arm64
https://conda.anaconda.org/conda-forge/noarch
https://repo.anaconda.com/pkgs/main/osx-arm64
https://repo.anaconda.com/pkgs/main/noarch
https://repo.anaconda.com/pkgs/r/osx-arm64
https://repo.anaconda.com/pkgs/r/noarch
package cache : /Users/user/.pyenv/versions/miniconda3-latest/pkgs
/Users/user/.conda/pkgs
envs directories : /Users/user/.pyenv/versions/miniconda3-latest/envs
/Users/user/.conda/envs
platform : osx-arm64
user-agent : conda/4.12.0 requests/2.28.1 CPython/3.9.15 Darwin/22.2.0 OSX/13.1
UID:GID : 502:20
netrc file : None
offline mode : FalseRecommend Projects
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