Choose the dependency versions greta installs

Persistently choose which versions of TensorFlow, TensorFlow Probability, and Python greta uses, independently of where they are installed (see greta_set_python() for that). The stored versions are used by:

the managed (uv) environment, which installs them automatically on first use after a restart, and
install_greta_deps(), as its default deps argument when building a conda environment.

Most users never need this: greta's defaults (TensorFlow 2.15.1, TensorFlow Probability 0.23.0, Python 3.11) are the newest versions greta supports.

To clear the stored versions and return to the defaults, use greta_remove()("deps").

Usage

greta_set_deps(deps = greta_deps_spec())

Arguments

deps: object created with greta_deps_spec(), which checks that the TensorFlow version is one greta supports.

Value

Invisibly, the stored greta_deps_spec().

Details

Your choice is stored under tools::R_user_dir("greta", "config") and applied the next time greta is loaded, so you will need to restart R for it to take effect. Changing versions on the managed (uv) backend may require internet access on the next load, to download the newly requested versions.

Examples

if (FALSE) { # \dontrun{
# pin an older TensorFlow for the managed (uv) environment
greta_set_deps(greta_deps_spec(
  tf_version = "2.14.0",
  tfp_version = "0.22.1",
  python_version = "3.10"
))

# clear the stored versions and return to greta's defaults
greta_remove("deps")
} # }