Closed njtierney closed 2 months ago
Related to #664 and #638
So instead of
install_greta_deps <- function(method = c("auto", "virtualenv", "conda"), conda = "auto", timeout = 5, scheme = c("default", "tf213", "manual", "aws"), manual = FALSE, restart = c("ask", "force", "no"), ...) { ... }
It will be something like:
install_greta_deps <- function(py_deps = greta_python_deps(), restart = c("ask", "force", "no"), timeout = 5, ...) { ... }
Then you can create your own specs that work, or use some existing ones, e.g.,
aws_install <- greta_python_deps( tf_version = "2.11.0", tfp_version = "0.19.0", keras_version = NULL, py_version = "3.8.15" ) install_greta_deps(py_deps = aws_install)
And also we could create a set of known install sets that work and provide them as objects within greta, e.g.,
# macOS install_greta_deps(py_deps = .greta_deps_macos) # windows install_greta_deps(py_deps = .greta_deps_windows) # linux install_greta_deps(py_deps = .greta_deps_windows) # linux install_greta_deps(py_deps = .greta_deps_aws)
Related to #664 and #638
So instead of
It will be something like:
Then you can create your own specs that work, or use some existing ones, e.g.,
And also we could create a set of known install sets that work and provide them as objects within greta, e.g.,