#!/usr/bin/env python3

from glob import glob
import os

HEAD_SIZES_KQ = [40, 64, 72, 80, 96, 112, 128, 256, 576]

TYPES_KV = ["GGML_TYPE_F16", "GGML_TYPE_Q4_0", "GGML_TYPE_Q4_1", "GGML_TYPE_Q5_0", "GGML_TYPE_Q5_1", "GGML_TYPE_Q8_0", "GGML_TYPE_BF16"]

SOURCE_FATTN_TILE = """// This file has been autogenerated by generate_cu_files.py, do not edit manually.

#include "../fattn-tile.cuh"

DECL_FATTN_TILE_CASE({head_size_kq}, {head_size_v});
"""

SOURCE_FATTN_VEC = """// This file has been autogenerated by generate_cu_files.py, do not edit manually.

#include "../fattn-vec.cuh"

DECL_FATTN_VEC_CASE( 64, {type_k}, {type_v});
DECL_FATTN_VEC_CASE(128, {type_k}, {type_v});
DECL_FATTN_VEC_CASE(256, {type_k}, {type_v});
"""

SOURCE_FATTN_MMA_START = """// This file has been autogenerated by generate_cu_files.py, do not edit manually.

#include "../fattn-mma-f16.cuh"

"""

SOURCE_FATTN_MMA_CASE = "DECL_FATTN_MMA_F16_CASE({head_size_kq}, {head_size_v}, {ncols1}, {ncols2});\n"

TYPES_MMQ = [
    "GGML_TYPE_Q4_0", "GGML_TYPE_Q4_1", "GGML_TYPE_Q5_0", "GGML_TYPE_Q5_1", "GGML_TYPE_Q8_0",
    "GGML_TYPE_Q2_K", "GGML_TYPE_Q3_K", "GGML_TYPE_Q4_K", "GGML_TYPE_Q5_K", "GGML_TYPE_Q6_K",
    "GGML_TYPE_IQ2_XXS", "GGML_TYPE_IQ2_XS", "GGML_TYPE_IQ2_S", "GGML_TYPE_IQ3_XXS", "GGML_TYPE_IQ3_S",
    "GGML_TYPE_IQ1_S", "GGML_TYPE_IQ4_NL", "GGML_TYPE_IQ4_XS", "GGML_TYPE_MXFP4"
]

SOURCE_MMQ = """// This file has been autogenerated by generate_cu_files.py, do not edit manually.

#include "../mmq.cuh"

DECL_MMQ_CASE({type});
"""

SOURCE_MMF = """// This file has been autogenerated by generate_cu_files.py, do not edit manually.

#include "../mmf.cuh"

DECL_MMF_CASE({type});
"""


def get_short_name(long_quant_name):
    return long_quant_name.replace("GGML_TYPE_", "").lower()


for filename in glob("*.cu"):
    os.remove(filename)

for head_size_kq in HEAD_SIZES_KQ:
    head_size_v = head_size_kq if head_size_kq != 576 else 512
    with open(f"fattn-tile-instance-dkq{head_size_kq}-dv{head_size_v}.cu", "w") as f:
        f.write(SOURCE_FATTN_TILE.format(head_size_kq=head_size_kq, head_size_v=head_size_v))

for type_k in TYPES_KV:
    for type_v in TYPES_KV:
        with open(f"fattn-vec-instance-{get_short_name(type_k)}-{get_short_name(type_v)}.cu", "w") as f:
            f.write(SOURCE_FATTN_VEC.format(type_k=type_k, type_v=type_v))

for ncols in [8, 16, 32, 64]:
    for ncols2 in [1, 2, 4, 8, 16, 32]:
        if ncols2 > ncols:
            continue
        ncols1 = ncols // ncols2
        with open(f"fattn-mma-f16-instance-ncols1_{ncols1}-ncols2_{ncols2}.cu", "w") as f:
            f.write(SOURCE_FATTN_MMA_START)

            for head_size_kq in HEAD_SIZES_KQ:
                if head_size_kq == 40:
                    continue
                if head_size_kq == 72:
                    continue
                if head_size_kq != 576 and ncols2 in (16, 32):
                    continue
                if head_size_kq == 576 and ncols2 not in (4, 16, 32):
                    continue
                head_size_v = head_size_kq if head_size_kq != 576 else 512
                f.write(SOURCE_FATTN_MMA_CASE.format(ncols1=ncols1, ncols2=ncols2, head_size_kq=head_size_kq, head_size_v=head_size_v))

for type in TYPES_MMQ:
    with open(f"mmq-instance-{get_short_name(type)}.cu", "w") as f:
        f.write(SOURCE_MMQ.format(type=type))

for type in range(1, 17):
    with open(f"mmf-instance-ncols_{type}.cu", "w") as f:
        f.write(SOURCE_MMF.format(type=type))
