Mojo function

min_p_sampling

min_p_sampling[dtype: DType, out_idx_type: DType, //, _test_sort: Bool = False](min_ps: TileTensor[dtype, LayoutType, origin, address_space=address_space, linear_idx_type=linear_idx_type, element_shape_types=element_shape_types], input_logits: TileTensor[dtype, LayoutType, origin, address_space=address_space, linear_idx_type=linear_idx_type, element_shape_types=element_shape_types], out_token_ids: TileTensor[out_idx_type, LayoutType, origin, address_space=address_space, linear_idx_type=linear_idx_type, element_shape_types=element_shape_types], temperature: Scalar[dtype] = 1)

Naive CPU implementation of Min-P sampling for token selection. This function applies temperature scaling, softmax, a merge sort, and then samples tokens based on the calculated probability threshold (Min-P).

Was this page helpful?

Thank you! We'll create more content like this.

Thank you for helping us improve!

😔 What went wrong?

Some code doesn’t work

It includes inaccurate information

It's missing information I need

It was difficult to understand

Other

Submit