nn_init_kaiming_normal_: Kaiming normal initialization

In torch: Tensors and Neural Networks with 'GPU' Acceleration

Kaiming normal initialization

Description

Fills the input Tensor with values according to the method described in ⁠Delving deep into rectifiers: Surpassing human-level performance on ImageNet classification⁠ - He, K. et al. (2015), using a normal distribution.

Usage

nn_init_kaiming_normal_(
  tensor,
  a = 0,
  mode = "fan_in",
  nonlinearity = "leaky_relu"
)

Arguments

tensor	an n-dimensional torch.Tensor
a	the negative slope of the rectifier used after this layer (only used with 'leaky_relu')
mode	either 'fan_in' (default) or 'fan_out'. Choosing 'fan_in' preserves the magnitude of the variance of the weights in the forward pass. Choosing 'fan_out' preserves the magnitudes in the backwards pass.
nonlinearity	the non-linear function. recommended to use only with 'relu' or 'leaky_relu' (default).

Examples

if (torch_is_installed()) {
w <- torch_empty(3, 5)
nn_init_kaiming_normal_(w, mode = "fan_in", nonlinearity = "leaky_relu")
}

torch documentation built on May 29, 2024, 9:54 a.m.