mindspore.ops.Multinomial
- class mindspore.ops.Multinomial(seed=0, seed2=0)[source]
Returns a tensor sampled from the multinomial probability distribution located in the corresponding row of tensor input.
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.
- Parameters
- Inputs:
x (Tensor[float32]) - the input tensor containing the cumsum of probabilities, must be 1 or 2 dimensions.
num_samples (int32) - number of samples to draw.
- Outputs:
Tensor with the same rows as x, each row has num_samples sampled indices.
- Raises
- Supported Platforms:
GPU
Examples
>>> x = Tensor([0., 9., 4., 0.], mstype.float32) >>> multinomial = ops.Multinomial(seed=10) >>> output = multinomial(x, 2) >>> print(output) [2 1]