get_pycox_activation: Get Pytorch Activation Function

Description

Helper function to return a class or constructed object for pytorch activation function from torch.nn.modules.activation.

Usage

get_pycox_activation(
  activation = "relu",
  construct = TRUE,
  alpha = 1,
  dim = NULL,
  lambd = 0.5,
  min_val = -1,
  max_val = 1,
  negative_slope = 0.01,
  num_parameters = 1L,
  init = 0.25,
  lower = 1/8,
  upper = 1/3,
  beta = 1,
  threshold = 20,
  value = 20
)

Value

No return value.

Arguments

activation: (character(1))
Activation function method, see details for list of implemented methods.
construct: (logical(1))
If TRUE (default) returns constructed object, otherwise a class.
alpha: (numeric(1))
Passed to celu and elu.
dim: (integer(1))
Passed to glu, logsoftmax, softmax, and
lambd: (numeric(1))
Passed to hardshrink and softshrink.
min_val, max_val: (numeric(1))
Passed to hardtanh.
negative_slope: (numeric(1))
Passed to leakyrelu.
num_parameters: (integer(1))
Passed to prelu.
init: (numeric(1))
Passed to prelu.
lower, upper: (numeric(1))
Passed to rrelu.
beta: (numeric(1))
Passed to softplus.
threshold: (numeric(1))
Passed to softplus and threshold.
value: (numeric(1))
Passed to threshold.

Details

Implemented methods (with help pages) are

"celu"
reticulate::py_help(torch$nn$modules$activation$CELU)
"elu"
reticulate::py_help(torch$nn$modules$activation$ELU)
"gelu"
reticulate::py_help(torch$nn$modules$activation$GELU)
"glu"
reticulate::py_help(torch$nn$modules$activation$GLU)
"hardshrink"
reticulate::py_help(torch$nn$modules$activation$Hardshrink)
"hardsigmoid"
reticulate::py_help(torch$nn$modules$activation$Hardsigmoid)
"hardswish"
reticulate::py_help(torch$nn$modules$activation$Hardswish)
"hardtanh"
reticulate::py_help(torch$nn$modules$activation$Hardtanh)
"relu6"
reticulate::py_help(torch$nn$modules$activation$ReLU6)
"leakyrelu"
reticulate::py_help(torch$nn$modules$activation$LeakyReLU)
"logsigmoid"
reticulate::py_help(torch$nn$modules$activation$LogSigmoid)
"logsoftmax"
reticulate::py_help(torch$nn$modules$activation$LogSoftmax)
"prelu"
reticulate::py_help(torch$nn$modules$activation$PReLU)
"rrelu"
reticulate::py_help(torch$nn$modules$activation$RReLU)
"relu"
reticulate::py_help(torch$nn$modules$activation$ReLU)
"selu"
reticulate::py_help(torch$nn$modules$activation$SELU)
"sigmoid"
reticulate::py_help(torch$nn$modules$activation$Sigmoid)
"softmax"
reticulate::py_help(torch$nn$modules$activation$Softmax)
"softmax2d"
reticulate::py_help(torch$nn$modules$activation$Softmax2d)
"softmin"
reticulate::py_help(torch$nn$modules$activation$Softmin)
"softplus"
reticulate::py_help(torch$nn$modules$activation$Softplus)
"softshrink"
reticulate::py_help(torch$nn$modules$activation$Softshrink)
"softsign"
reticulate::py_help(torch$nn$modules$activation$Softsign)
"tanh"
reticulate::py_help(torch$nn$modules$activation$Tanh)
"tanhshrink"
reticulate::py_help(torch$nn$modules$activation$Tanhshrink)
"threshold"
reticulate::py_help(torch$nn$modules$activation$Threshold)