static public TorchTensor Dropout(TorchTensor x, double probability = 0.5)
{
using (var d = Modules.Dropout(probability)) {
return(d.Forward(x));
}
}
/// <summary>
/// During training, randomly zeroes some of the elements of the input tensor with probability p using samples from a Bernoulli distribution.
/// Each channel will be zeroed out independently on every forward call.
/// </summary>
/// <param name="x">Input tensor</param>
/// <param name="probability">Probability of an element to be zeroed. Default: 0.5</param>
/// <param name="inPlace">If set to true, will do this operation in-place. Default: false</param>
/// <returns></returns>
static public TorchTensor Dropout(TorchTensor x, double probability = 0.5, bool inPlace = false)
{
using (var d = Modules.Dropout(probability, inPlace)) {
return(d.forward(x));
}
}