mindspore.ops.multinomial_with_replacement

mindspore.ops.multinomial_with_replacement(x, seed, offset, numsamples, replacement=False)[source]

Generate a tensor from a multinomial distribution.

Warning

This interface is deprecated and will be removed after version 2.9.0.

Note

The rows of input do not need to sum to one (in which case we use the values as weights), but must be non-negative, finite and have a non-zero sum.
If seed is set to be -1 , and offset is set to be 0, the random number generator is seeded by a random seed.

Parameters

x (Tensor) – The 1-D or 2-D input tensor containing probabilities.
seed (int) – Random seed.
offset (int) – Offset.
numsamples (int) – The number of samples to draw.
replacement (bool, optional) – Whether to draw with replacement or not. Default False .

Returns

Tensor

Supported Platforms:: CPU

Examples

>>> import mindspore
>>> x = mindspore.tensor([[0., 9., 4., 0.]], mindspore.float32)
>>> mindspore.ops.multinomial_with_replacement(x, 2, 5, 2, True)
Tensor(shape=[1, 2], dtype=Int64, value=
[[1, 1]])