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Mojo function

fused_token_sampling_cpu

fused_token_sampling_cpu[dtype: DType, out_idx_type: DType](max_k: Int, input: LayoutTensor[dtype, layout, origin, address_space=address_space, element_layout=element_layout, layout_int_type=layout_int_type, linear_idx_type=linear_idx_type, masked=masked, alignment=alignment], out_idxs: LayoutTensor[out_idx_type, layout, origin, address_space=address_space, element_layout=element_layout, layout_int_type=layout_int_type, linear_idx_type=linear_idx_type, masked=masked, alignment=alignment], k: OptionalReg[LayoutTensor[DType.int64, Layout.row_major(-1), MutableAnyOrigin]] = OptionalReg[LayoutTensor[DType.int64, Layout.row_major(-1), MutableAnyOrigin]]({:i1 0, 1}), temperature: OptionalReg[LayoutTensor[DType.float32, Layout.row_major(-1), MutableAnyOrigin]] = OptionalReg[LayoutTensor[DType.float32, Layout.row_major(-1), MutableAnyOrigin]]({:i1 0, 1}), top_p: OptionalReg[LayoutTensor[DType.float32, Layout.row_major(-1), MutableAnyOrigin]] = OptionalReg[LayoutTensor[DType.float32, Layout.row_major(-1), MutableAnyOrigin]]({:i1 0, 1}), seed: OptionalReg[LayoutTensor[DType.uint64, Layout.row_major(-1), MutableAnyOrigin]] = OptionalReg[LayoutTensor[DType.uint64, Layout.row_major(-1), MutableAnyOrigin]]({:i1 0, 1}))

Generalized implementation of the Top K algorithm with sampling. Returns the sampled index from the innermost dimension of the input tensor for each row/subvolume.

Parameters:

  • dtype (DType): Data type of the input buffer.
  • out_idx_type (DType): Data type of the output indices.

Args:

  • max_k (Int): Largest number of top elements.
  • input (LayoutTensor): NDBuffer[dtype, rank] (Any shape)- The input tensor.
  • out_idxs (LayoutTensor): NDBuffer[out_idx_type, rank] (shape of [input_shape[:-1]] + [1]) - The output indices.
  • k (OptionalReg): Optional device buffer of top elements to keep for each batch element.
  • temperature (OptionalReg): The temperature based scaling.
  • top_p (OptionalReg): Only use the tokens whose cumulative probability exceeds this threshold.
  • seed (OptionalReg): The seed to use for the random number generator.

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