multinomial¶
dragon.vm.torch.
multinomial
(
input,
num_samples,
out=None
)[source]¶Return an index tensor sampled from the multinomial distribution.
Examples:
input = torch.tensor([0.5, 0.5]).log() index = torch.multinomial(input, 1)
- Parameters:
- input (dragon.vm.torch.Tensor) – The input tensor.
- num_samples (int) – The number of samples in each row.
- out (dragon.vm.torch.Tensor, optional) – The output tensor.
- Returns:
dragon.vm.torch.Tensor – The output tensor.