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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

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