Similarly to posts here and here, I am having more trouble when I try to install TensorFlow in a new RStudio Cloud project. I know I need to set up both Miniconda and a virtual environment locally in /cloud/project/ so the Python dependencies stay with copies of the cloud project. Previous versions of the following setup script worked.
install.packages(c("keras", "rstudioapi", "tensorflow"))
lines <- c(
paste0("RETICULATE_CONDA=", file.path(getwd(), "miniconda", "bin", "conda")),
paste0("RETICULATE_PYTHON=", file.path(getwd(), "miniconda", "bin", "python")),
paste0("WORKON_HOME=", file.path(getwd(), "virtualenvs"))
)
writeLines(lines, ".Renviron")
rstudioapi::restartSession()
reticulate::install_miniconda("miniconda")
reticulate::virtualenv_create(
envname = "r-tensorflow",
python = Sys.getenv("RETICULATE_PYTHON")
)
keras::install_keras(
method = "virtualenv",
conda = Sys.getenv("RETICULATE_CONDA"),
envname = "r-tensorflow"
)
But I get an error on Cloud when I try to install Python's TensorFlow and Keras:
keras::install_keras(
+ method = "virtualenv",
+ conda = Sys.getenv("RETICULATE_CONDA"),
+ envname = "r-tensorflow"
+ )
Using virtual environment 'r-tensorflow' ...
Collecting tensorflow==2.2.0
Downloading tensorflow-2.2.0-cp38-cp38-manylinux2010_x86_64.whl (516.3 MB)
Killed
Error: Error installing package(s): 'tensorflow==2.2.0', 'keras', 'tensorflow-hub', 'h5py', 'pyyaml==3.12', 'requests', 'Pillow', 'scipy'
The same script on my local Ubuntu machine appears to succeed, but it ignores my local virtual environment even though I set WORKON_HOME.
> tensorflow::tf_config()
Installation of TensorFlow not found.
Python environments searched for 'tensorflow' package:
/home/landau/projects/targets-tutorial/miniconda/bin/python3.8
You can install TensorFlow using the install_tensorflow() function.
Example project that uses this general approach: https://github.com/wlandau/targets-keras.
