Nothing
#! /usr/bin/env Rscript
args <- commandArgs(TRUE)
if("--fresh" %in% args) # fresh start
unlink(reticulate::miniconda_path(), recursive = TRUE)
remotes::install_github("rstudio/reticulate", force = TRUE)
ver <- as.data.frame(rbind(
c(py = "3.8", tf = "2.8"),
c(py = "3.9", tf = "2.7"),
c(py = "3.8", tf = "2.6"),
c(py = "3.7", tf = "2.5"),
c(py = "3.7", tf = "2.4"),
# c(py = "3.6", tf = "2.3"),
# c(py = "3.6", tf = "2.2"),
# c(py = "3.6", tf = "2.1"),
# c(py = "3.6", tf = "1"),
# c(py = "3.8", tf = "2.8.0rc0"),
c(py = "3.9", tf = "nightly")))
ver$tf <- paste0(ver$tf, "-cpu")
ver$name <- paste0("tf-", sub(".0rc[0-9]+", "", ver$tf))
if(!reticulate:::miniconda_exists())
reticulate::install_miniconda()
for (i in seq_len(nrow(ver))) {
# tensorflow::install_tensorflow(
keras::install_keras(
version = ver$tf[i],
envname = ver$name[i],
conda_python_version = ver$py[i],
pip_ignore_installed = TRUE,
extra_packages = "ipython",
method = "conda",
restart_session = FALSE
) # |> try()
}
# work around conda run bug: https://github.com/conda/conda/issues/10972
# reticulate:::pip_install(
# "~/.local/share/r-miniconda/envs/tf-2.4-cpu/bin/python",
# packages = c("tensorflow==2.4.*", keras:::default_extra_packages("2.4")),
# conda = FALSE, ignore_installed = TRUE)
#
# reticulate:::pip_install(
# "~/.local/share/r-miniconda/envs/tf-2.5-cpu/bin/python",
# packages = c("tensorflow==2.5.*", keras:::default_extra_packages("2.5")),
# conda = FALSE, ignore_installed = TRUE)
# reticulate:::conda_run("python", c("-m", "pip", "install", "--upgrade", "tensorflow-cpu==2.4.*"),
# envname = "tf-2.4-cpu")
# ~/.local/share/r-miniconda/bin/conda run --name tf-2.5-cpu python -m pip install --upgrade 'tensorflow-cpu==2.5.*' tensorflow-hub scipy requests pyyaml 'Pillow<8.3' 'h5py pandas
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.