torch.sparse.log_softmax# torch.sparse.log_softmax(input, dim, *, dtype=None) → Tensor# Applies a softmax function followed by logarithm. See softmax for more details. Parameters input (Tensor) – input dim (int) – A dimension along which softmax will be computed. dtype (torch.dtype, optional) – the desired data type of returned tensor. If specified, the input tensor is casted to dtype before the operation is performed. This is useful for preventing data type overflows. Default: None