get_pycox_init: Get Pytorch Weight Initialization Method

Description

Helper function to return a character string with a populated pytorch weight initializer method from torch.nn.init. Used in build_pytorch_net to define a weighting function.

Usage

get_pycox_init(
  init = "uniform",
  a = 0,
  b = 1,
  mean = 0,
  std = 1,
  val,
  gain = 1,
  mode = c("fan_in", "fan_out"),
  non_linearity = c("leaky_relu", "relu")
)

Value

No return value.

Arguments

init: (character(1))
Initialization method, see details for list of implemented methods.
a: (numeric(1))
Passed to uniform, kaiming_uniform, and kaiming_normal.
b: (numeric(1))
Passed to uniform.
mean, std: (numeric(1))
Passed to normal.
val: (numeric(1))
Passed to constant.
gain: (numeric(1))
Passed to xavier_uniform, xavier_normal, and orthogonal.
mode: (character(1))
Passed to kaiming_uniform and kaiming_normal, one of fan_in (default) and fan_out.
non_linearity: (character(1))
Passed to kaiming_uniform and kaiming_normal, one of leaky_relu (default) and relu.

Details

Implemented methods (with help pages) are

"uniform"
reticulate::py_help(torch$nn$init$uniform_)
"normal"
reticulate::py_help(torch$nn$init$normal_)
"constant"
reticulate::py_help(torch$nn$init$constant_)
"xavier_uniform"
reticulate::py_help(torch$nn$init$xavier_uniform_)
"xavier_normal"
reticulate::py_help(torch$nn$init$xavier_normal_)
"kaiming_uniform"
reticulate::py_help(torch$nn$init$kaiming_uniform_)
"kaiming_normal"
reticulate::py_help(torch$nn$init$kaiming_normal_)
"orthogonal"
reticulate::py_help(torch$nn$init$orthogonal_)