我正在尝试使用以下命令使用 tensorflow (GPU) 版本 1.4.1 创建一个新的 conda 环境 conda create -n parsim_1.4.1 python=3 tensorflow-gpu=1.4.1.
但是，它打印出一个奇怪的冲突:
$ conda create -n parsim_1.4.1 python=3 tensorflow-gpu=1.4.1
Collecting package metadata (current_repodata.json): done
Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source.
Collecting package metadata (repodata.json): done
Solving environment: \
Found conflicts! Looking for incompatible packages.
This can take several minutes. Press CTRL-C to abort.
failed
UnsatisfiableError: The following specifications were found to be incompatible with each other:
Output in format: Requested package -> Available versions
Package python conflicts for:
python=3
tensorflow-gpu=1.4.1 -> tensorflow-gpu-base==1.4.1 -> python[version='>=2.7,<2.8.0a0|>=3.5,<3.6.0a0|>=3.6,<3.7.0a0']The following specifications were found to be incompatible with your system:
- feature:/linux-64::__glibc==2.17=0
- python=3 -> libgcc-ng[version='>=9.3.0'] -> __glibc[version='>=2.17']
Your installed version is: 2.17
我的操作系统是CentOS7，
$ uname -a
Linux cpu-s-master 3.10.0-1160.42.2.el7.x86_64 #1 SMP Tue Sep 7 14:49:57 UTC 2021 x86_64 x86_64 x86_64 GNU/Linux
这是怎么回事？我该如何解决？
编辑
感谢@merv 的评论，我尝试使用 Mamba，确实它提供了更好的错误消息(而且速度更快)。如果有人感兴趣，那就是成功安装我所需版本的命令:
mamba create -n parsim python=3 "tensorflow-gpu=1.4" pillow opencv -c shuangnan -c anaconda
最佳答案
Conda的报错isn't always helpful . Mamba 有时更好，在这种特殊情况下，它提供:
Looking for: ['python=3', 'tensorflow-gpu=1.4.1']
conda-forge/linux-64 Using cache
conda-forge/noarch Using cache
pkgs/main/linux-64 No change
pkgs/main/noarch No change
pkgs/r/linux-64 No change
pkgs/r/noarch No change
Encountered problems while solving:
- nothing provides cudatoolkit 8.0.* needed by tensorflow-gpu-base-1.4.1-py27h01caf0a_0
即使在这里，构建字符串中的 py27 也很奇怪，但它至少将我们定向到 cudatoolkit 8.0，它不再托管在 main channel 。相反，您需要 include the free channel .以下对我有用:
$ CONDA_SUBDIR=linux-64 CONDA_CHANNEL_PRIORITY=flexible \
mamba create -n foo \
-c anaconda -c free \
python=3 tensorflow-gpu=1.4.1
__ __ __ __
/ \ / \ / \ / \
/ \/ \/ \/ \
███████████████/ /██/ /██/ /██/ /████████████████████████
/ / \ / \ / \ / \ \____
/ / \_/ \_/ \_/ \ o \__,
/ _/ \_____/ `
|/
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██║ ╚═╝ ██║██║ ██║██║ ╚═╝ ██║██████╔╝██║ ██║
╚═╝ ╚═╝╚═╝ ╚═╝╚═╝ ╚═╝╚═════╝ ╚═╝ ╚═╝
mamba (0.21.1) supported by @QuantStack
GitHub: https://github.com/mamba-org/mamba
Twitter: https://twitter.com/QuantStack
█████████████████████████████████████████████████████████████
Looking for: ['python=3', 'tensorflow-gpu=1.4.1']
anaconda/linux-64 Using cache
anaconda/noarch Using cache
conda-forge/linux-64 Using cache
conda-forge/noarch Using cache
pkgs/main/noarch No change
pkgs/main/linux-64 No change
pkgs/r/linux-64 No change
pkgs/r/noarch No change
free/linux-64 No change
free/noarch No change
Transaction
Prefix: /Users/mfansler/miniconda3/envs/foo
Updating specs:
- python=3
- tensorflow-gpu=1.4.1
Package Version Build Channel Size
───────────────────────────────────────────────────────────────────────────────────────
Install:
───────────────────────────────────────────────────────────────────────────────────────
+ blas 1.0 openblas anaconda/linux-64 49kB
+ bleach 1.5.0 py36_0 free/linux-64 22kB
+ ca-certificates 2020.10.14 0 anaconda/linux-64 131kB
+ certifi 2020.6.20 py36_0 anaconda/linux-64 163kB
+ cudatoolkit 8.0 3 free/linux-64 338MB
+ cudnn 7.1.3 cuda8.0_0 anaconda/linux-64 241MB
+ html5lib 0.9999999 py36_0 free/linux-64 181kB
+ importlib-metadata 2.0.0 py_1 anaconda/noarch 36kB
+ ld_impl_linux-64 2.33.1 h53a641e_7 anaconda/linux-64 660kB
+ libedit 3.1.20191231 h14c3975_1 anaconda/linux-64 124kB
+ libffi 3.3 he6710b0_2 anaconda/linux-64 55kB
+ libgcc-ng 9.1.0 hdf63c60_0 anaconda/linux-64 8MB
+ libgfortran-ng 7.3.0 hdf63c60_0 anaconda/linux-64 1MB
+ libopenblas 0.3.10 h5a2b251_0 anaconda/linux-64 8MB
+ libprotobuf 3.13.0.1 hd408876_0 anaconda/linux-64 2MB
+ libstdcxx-ng 9.1.0 hdf63c60_0 anaconda/linux-64 4MB
+ markdown 3.3.2 py36_0 anaconda/linux-64 126kB
+ ncurses 6.2 he6710b0_1 anaconda/linux-64 1MB
+ numpy 1.19.1 py36h30dfecb_0 anaconda/linux-64 21kB
+ numpy-base 1.19.1 py36h75fe3a5_0 anaconda/linux-64 5MB
+ openssl 1.1.1h h7b6447c_0 anaconda/linux-64 4MB
+ pip 20.2.4 py36_0 anaconda/linux-64 2MB
+ protobuf 3.13.0.1 py36he6710b0_1 anaconda/linux-64 715kB
+ python 3.6.12 hcff3b4d_2 anaconda/linux-64 36MB
+ readline 8.0 h7b6447c_0 anaconda/linux-64 438kB
+ setuptools 50.3.0 py36hb0f4dca_1 anaconda/linux-64 913kB
+ six 1.15.0 py_0 anaconda/noarch 13kB
+ sqlite 3.33.0 h62c20be_0 anaconda/linux-64 2MB
+ tensorflow-gpu 1.4.1 0 anaconda/linux-64 3kB
+ tensorflow-gpu-base 1.4.1 py36h01caf0a_0 anaconda/linux-64 119MB
+ tensorflow-tensorboard 1.5.1 py36hf484d3e_1 anaconda/linux-64 3MB
+ tk 8.6.10 hbc83047_0 anaconda/linux-64 3MB
+ werkzeug 1.0.1 py_0 anaconda/noarch 249kB
+ wheel 0.35.1 py_0 anaconda/noarch 37kB
+ xz 5.2.5 h7b6447c_0 anaconda/linux-64 449kB
+ zipp 3.3.1 py_0 anaconda/noarch 12kB
+ zlib 1.2.11 h7b6447c_3 anaconda/linux-64 122kB
Summary:
Install: 37 packages
Total download: 784MB
───────────────────────────────────────────────────────────────────────────────────────
关于python - 尝试 conda 安装 tensorflow 1.4.1 时发生奇怪的 `glibc==2.17` 冲突，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/71546900/