`torch.nn.functional.Dropout()` doesn't have the `training` argument.

[kaiidams]

PyTorch has these in https://pytorch.org/docs/stable/nn.functional.html#dropout-functions

• torch.nn.functional.dropout(input, p=0.5, training=True, inplace=False)
• torch.nn.functional.alpha_dropout(input, p=0.5, training=False, inplace=False)
• torch.nn.functional.feature_alpha_dropout(input, p=0.5, training=False, inplace=False)
• torch.nn.functional.dropout1d(input, p=0.5, training=True, inplace=False)
• torch.nn.functional.dropout2d(input, p=0.5, training=True, inplace=False)
• torch.nn.functional.dropout3d(input, p=0.5, training=True, inplace=False)

TorchSharp has these

• static public Tensor Dropout(Tensor x, double probability = 0.5, bool inPlace = false)
• static public Tensor alpha_dropout(Tensor x, double probability = 0.5, bool inPlace = false)
• static public Tensor feature_alpha_dropout(Tensor x, double p = 0.5)
• static public Tensor dropout2d(Tensor x, double probability = 0.5, bool inPlace = false)
• static public Tensor Dropout3d(Tensor x, double probability = 0.5, bool inPlace = false)

[NiklasGustafsson]

Addressed in PR #688