无法通过 conda、virtualenv 或 py_install 安装带有 reticulate 的 tensorflow
Can't install tensorflow with reticulate via conda, virtualenv, or py_install
我在尝试使用 tensorflow
时 运行 遇到了一些 reticulate
麻烦。如果我在 CLI 上 运行 普通 R 会话或普通 Python 会话,我可以安装和使用 tensorflow。
library(reticulate) # loads fine
conda_create("r-reticulate") # seems to work
conda_install("r-reticulate", "scipy") # seems to work
conda_install("r-reticulate", "tensorflow") # fails
# Collecting package metadata (current_repodata.json): ...working... done
# Solving environment: ...working... failed with initial frozen solve. Retrying with flexible solve.
# Solving environment: ...working... failed with repodata from current_repodata.json, will retry with next repodata source.
#
# ResolvePackageNotFound:
# - python=3.1
#
# Error: one or more Python packages failed to install [error code 1]
不确定那是什么,所以我试试
use_condaenv("r-reticulate") # seems to work
py_install("tensorflow") # fails
给出错误:
Error: could not find a Python environment for
/opt/local/bin/python3.9
然后我尝试了:
virtualenv_create("rstudio-python-virtualenv")
这会引发错误
ERROR: Failed cleaning build dir for numpy
虽然失败了,但为了笑我试过了
virtualenv_install("rstudio-python-virtualenv", "tensorflow")
抛出
ERROR: Could not find a version that satisfies the requirement
tensorflow (from versions: none)
在进行更多故障排除后,我尝试将“全局选项”中指定的 Python 解释器更改为上面创建的这 2 个新虚拟环境。它对错误消息没有影响。
我也试过 reticulate::py_install("tensorflow")
抛出:
Collecting package metadata (current_repodata.json): ...working... done
Solving environment: ...working... failed with initial frozen solve. Retrying with flexible solve.
Solving environment: ...working... failed with repodata from current_repodata.json, will retry with next repodata source.
ResolvePackageNotFound:
- python=3.1
Error: one or more Python packages failed to install [error code 1]
>
显然,至少部分问题是 conda_create
正在创建基于 Python 版本的环境,这些版本对于它试图安装的 tensorflow
版本来说太新了(即 Python v3.10.0)。这有效:
conda_create("r-py-conda-3.6", python_version = "3.6")
conda_install(envname = "r-py-conda-3.6",
packages=("tensorflow"))
我在尝试使用 tensorflow
时 运行 遇到了一些 reticulate
麻烦。如果我在 CLI 上 运行 普通 R 会话或普通 Python 会话,我可以安装和使用 tensorflow。
library(reticulate) # loads fine
conda_create("r-reticulate") # seems to work
conda_install("r-reticulate", "scipy") # seems to work
conda_install("r-reticulate", "tensorflow") # fails
# Collecting package metadata (current_repodata.json): ...working... done # Solving environment: ...working... failed with initial frozen solve. Retrying with flexible solve. # Solving environment: ...working... failed with repodata from current_repodata.json, will retry with next repodata source. # # ResolvePackageNotFound: # - python=3.1 # # Error: one or more Python packages failed to install [error code 1]
不确定那是什么,所以我试试
use_condaenv("r-reticulate") # seems to work
py_install("tensorflow") # fails
给出错误:
Error: could not find a Python environment for /opt/local/bin/python3.9
然后我尝试了:
virtualenv_create("rstudio-python-virtualenv")
这会引发错误
ERROR: Failed cleaning build dir for numpy
虽然失败了,但为了笑我试过了
virtualenv_install("rstudio-python-virtualenv", "tensorflow")
抛出
ERROR: Could not find a version that satisfies the requirement tensorflow (from versions: none)
在进行更多故障排除后,我尝试将“全局选项”中指定的 Python 解释器更改为上面创建的这 2 个新虚拟环境。它对错误消息没有影响。
我也试过 reticulate::py_install("tensorflow")
抛出:
Collecting package metadata (current_repodata.json): ...working... done Solving environment: ...working... failed with initial frozen solve. Retrying with flexible solve. Solving environment: ...working... failed with repodata from current_repodata.json, will retry with next repodata source. ResolvePackageNotFound: - python=3.1 Error: one or more Python packages failed to install [error code 1] >
显然,至少部分问题是 conda_create
正在创建基于 Python 版本的环境,这些版本对于它试图安装的 tensorflow
版本来说太新了(即 Python v3.10.0)。这有效:
conda_create("r-py-conda-3.6", python_version = "3.6")
conda_install(envname = "r-py-conda-3.6",
packages=("tensorflow"))