llama.cpp/ggml/src/ggml-cuda/convert.cuh

#include "common.cuh"

#define CUDA_DEQUANTIZE_BLOCK_SIZE 256

template<typename T>
using to_t_cuda_t = void (*)(const void * x, T * y, int64_t k, cudaStream_t stream);

typedef to_t_cuda_t<float> to_fp32_cuda_t;
typedef to_t_cuda_t<half> to_fp16_cuda_t;
typedef to_t_cuda_t<nv_bfloat16> to_bf16_cuda_t;

to_fp16_cuda_t ggml_get_to_fp16_cuda(ggml_type type);

to_bf16_cuda_t ggml_get_to_bf16_cuda(ggml_type type);

to_fp32_cuda_t ggml_get_to_fp32_cuda(ggml_type type);

// TODO more general support for non-contiguous inputs

template<typename T>
using to_t_nc_cuda_t = void (*)(const void * x, T * y,
    int64_t ne00, int64_t ne01, int64_t ne02, int64_t ne03,
    int64_t s01, int64_t s02, int64_t s03, cudaStream_t stream);

typedef to_t_nc_cuda_t<float> to_fp32_nc_cuda_t;
typedef to_t_nc_cuda_t<half> to_fp16_nc_cuda_t;
typedef to_t_nc_cuda_t<nv_bfloat16> to_bf16_nc_cuda_t;

to_fp32_nc_cuda_t ggml_get_to_fp32_nc_cuda(ggml_type type);
to_fp16_nc_cuda_t ggml_get_to_fp16_nc_cuda(ggml_type type);
to_bf16_nc_cuda_t ggml_get_to_bf16_nc_cuda(ggml_type type);