# AUTO GENERATED ON 2022-09-23 AT 16:26:23
# DO NOT EDIT BY HAND!
#
# To regenerate file, run
#
#     python dev/generate-kernel-signatures.py
#
# (It is usually run as part of pip install . or localbuild.py.)

# fmt: off

# pylint: skip-file

from numpy import (
    bool_,
    int8,
    uint8,
    int16,
    uint16,
    int32,
    uint32,
    int64,
    uint64,
    float32,
    float64,
)

from awkward._v2._connect.cuda import fetch_specialization
from awkward._v2._connect.cuda import import_cupy

cupy = import_cupy("Awkward Arrays with CUDA")

def by_signature(cuda_kernel_templates):
    out = {}

    def inclusive_scan(grid, block, args):
        (d_in, invocation_index, err_code) = args
        import math
        d_out = cupy.empty(len(d_in), dtype=cupy.int64)
        d_final = cupy.empty(len(d_in), dtype=cupy.int64)
        stride = 1
        total_steps = math.ceil(math.log2(len(d_in)))
        for curr_step in range(1, total_steps + 1):
            in_out_flag = (curr_step % 2) != 0
            cuda_kernel_templates.get_function(fetch_specialization(['inclusive_scan_kernel', cupy.int64]))(grid, block, (d_in, d_out, d_final, curr_step, total_steps, stride, in_out_flag, len(d_in), invocation_index, err_code))
            stride = stride * 2
        return d_final
    out['inclusive_scan_kernel', cupy.int64] = inclusive_scan

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_BitMaskedArray_to_ByteMaskedArray', int8, uint8]))(grid, block, args)
    f.dir = ['out', 'in', 'in', 'in', 'in']
    out['awkward_BitMaskedArray_to_ByteMaskedArray', int8, uint8] = f

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_BitMaskedArray_to_IndexedOptionArray', int64, uint8]))(grid, block, args)
    f.dir = ['out', 'in', 'in', 'in', 'in']
    out['awkward_BitMaskedArray_to_IndexedOptionArray', int64, uint8] = f

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_ByteMaskedArray_getitem_carry', int8, int8, int64]))(grid, block, args)
    f.dir = ['out', 'in', 'in', 'in', 'in']
    out['awkward_ByteMaskedArray_getitem_carry', int8, int8, int64] = f

    def f(grid, block, args):
        (tocarry, mask, length, validwhen, invocation_index, err_code) = args
        scan_in_array = cupy.empty(length, dtype=cupy.int64)
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_ByteMaskedArray_getitem_nextcarry_a', tocarry.dtype, mask.dtype]))(grid, block, (tocarry, mask, validwhen, length, scan_in_array, invocation_index, err_code))
        scan_in_array = inclusive_scan(grid, block, (scan_in_array, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_ByteMaskedArray_getitem_nextcarry_b', tocarry.dtype, mask.dtype]))(grid, block, (tocarry, mask, validwhen, length, scan_in_array, invocation_index, err_code))
    out["awkward_ByteMaskedArray_getitem_nextcarry_a", int64, int8] = None
    out["awkward_ByteMaskedArray_getitem_nextcarry_b", int64, int8] = None
    f.dir = ['out', 'in', 'in', 'in']
    out['awkward_ByteMaskedArray_getitem_nextcarry', int64, int8] = f

    def f(grid, block, args):
        (tocarry, outindex, mask, length, validwhen, invocation_index, err_code) = args
        scan_in_array = cupy.empty(length, dtype=cupy.int64)
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_ByteMaskedArray_getitem_nextcarry_outindex_a', tocarry.dtype, outindex.dtype, mask.dtype]))(grid, block, (tocarry, outindex, mask, length, validwhen, scan_in_array, invocation_index, err_code))
        scan_in_array = inclusive_scan(grid, block, (scan_in_array, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_ByteMaskedArray_getitem_nextcarry_outindex_b', tocarry.dtype, outindex.dtype, mask.dtype]))(grid, block, (tocarry, outindex, mask, length, validwhen, scan_in_array, invocation_index, err_code))
    out["awkward_ByteMaskedArray_getitem_nextcarry_outindex_a", int64, int64, int8] = None
    out["awkward_ByteMaskedArray_getitem_nextcarry_outindex_b", int64, int64, int8] = None
    f.dir = ['out', 'out', 'in', 'in', 'in']
    out['awkward_ByteMaskedArray_getitem_nextcarry_outindex', int64, int64, int8] = f

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_ByteMaskedArray_mask', int8, int8]))(grid, block, args)
    f.dir = ['out', 'in', 'in', 'in']
    out['awkward_ByteMaskedArray_mask', int8, int8] = f

    out['awkward_ByteMaskedArray_numnull', int64, int8] = None

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_ByteMaskedArray_overlay_mask', int8, int8, int8]))(grid, block, args)
    f.dir = ['out', 'in', 'in', 'in', 'in']
    out['awkward_ByteMaskedArray_overlay_mask', int8, int8, int8] = f

    def f(grid, block, args):
        (nextcarry, nextparents, outindex, mask, parents, length, validwhen, invocation_index, err_code) = args
        scan_in_array = cupy.empty(length, dtype=cupy.int64)
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_ByteMaskedArray_reduce_next_64_a', nextcarry.dtype, nextparents.dtype, outindex.dtype]))(grid, block, (nextcarry, nextparents, outindex, mask, parents, validwhen, length, scan_in_array, invocation_index, err_code))
        scan_in_array = inclusive_scan(grid, block, (scan_in_array, length, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_ByteMaskedArray_reduce_next_64_b', nextcarry.dtype, nextparents.dtype, outindex.dtype]))(grid, block, (nextcarry, nextparents, outindex, mask, parents, validwhen, length, scan_in_array, invocation_index, err_code))
    out["awkward_ByteMaskedArray_reduce_next_64_a", int64, int64, int64, int8, int64] = None
    out["awkward_ByteMaskedArray_reduce_next_64_b", int64, int64, int64, int8, int64] = None
    f.dir = ['out', 'out', 'out', 'in', 'in', 'in', 'in']
    out['awkward_ByteMaskedArray_reduce_next_64', int64, int64, int64, int8, int64] = f

    def f(grid, block, args):
        (nextshifts, mask, length, valid_when, invocation_index, err_code) = args
        scan_in_array_k = cupy.empty(length, dtype=cupy.int64)
        scan_in_array_nullsum = cupy.empty(length, dtype=cupy.int64)
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_ByteMaskedArray_reduce_next_nonlocal_nextshifts_64_a", nextshifts.dtype, mask.dtype]))(grid, block, (nextshifts, mask, valid_when, length, scan_in_array_k, scan_in_array_nullsum, invocation_index, err_code))
        scan_in_array_k = inclusive_scan(grid, block, (scan_in_array_k, invocation_index, err_code))
        scan_in_array_nullsum = inclusive_scan(grid, block, (scan_in_array_nullsum, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_ByteMaskedArray_reduce_next_nonlocal_nextshifts_64_a", nextshifts.dtype, mask.dtype]))(grid, block, (nextshifts, mask, valid_when, length, scan_in_array_k, scan_in_array_nullsum, invocation_index, err_code))
    out["awkward_ByteMaskedArray_reduce_next_nonlocal_nextshifts_64_a", int64, int8] = None
    out["awkward_ByteMaskedArray_reduce_next_nonlocal_nextshifts_64_b", int64, int8] = None
    f.dir = ['out', 'in', 'in', 'in']
    out['awkward_ByteMaskedArray_reduce_next_nonlocal_nextshifts_64', int64, int8] = f

    out['awkward_ByteMaskedArray_reduce_next_nonlocal_nextshifts_fromshifts_64', int64, int8, int64] = None

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_ByteMaskedArray_toIndexedOptionArray', int64, int8]))(grid, block, args)
    f.dir = ['out', 'in', 'in', 'in']
    out['awkward_ByteMaskedArray_toIndexedOptionArray', int64, int8] = f

    def f(grid, block, args):
        (index_in, offsets_in, mask_out, starts_out, stops_out, length, invocation_index, err_code) = args
        scan_in_array = cupy.empty(length, dtype=cupy.int64)
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_Content_getitem_next_missing_jagged_getmaskstartstop_a", index_in.dtype, offsets_in.dtype, mask_out.dtype, starts_out.dtype, stops_out.dtype]))(grid, block, (index_in, offsets_in, mask_out, starts_out, stops_out, length, scan_in_array, invocation_index, err_code))
        scan_in_array = inclusive_scan(grid, block, (scan_in_array, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_Content_getitem_next_missing_jagged_getmaskstartstop_b", index_in.dtype, offsets_in.dtype, mask_out.dtype, starts_out.dtype, stops_out.dtype]))(grid, block, (index_in, offsets_in, mask_out, starts_out, stops_out, length, scan_in_array, invocation_index, err_code))
    out["awkward_Content_getitem_next_missing_jagged_getmaskstartstop_a", int64, int64, int64, int64, int64] = None
    out["awkward_Content_getitem_next_missing_jagged_getmaskstartstop_b", int64, int64, int64, int64, int64] = None
    f.dir = ['in', 'in', 'out', 'out', 'out', 'in']
    out['awkward_Content_getitem_next_missing_jagged_getmaskstartstop', int64, int64, int64, int64, int64] = f

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_Identities32_to_Identities64', int64, int32]))(grid, block, args)
    f.dir = ['out', 'in', 'in', 'in']
    out['awkward_Identities32_to_Identities64', int64, int32] = f

    out['awkward_Identities_extend', int32, int32] = None

    out['awkward_Identities_extend', int64, int64] = None

    out['awkward_Identities_from_IndexedArray', bool_, int32, int32, int32] = None

    out['awkward_Identities_from_IndexedArray', bool_, int32, int32, int64] = None

    out['awkward_Identities_from_IndexedArray', bool_, int32, int32, uint32] = None

    out['awkward_Identities_from_IndexedArray', bool_, int64, int64, int32] = None

    out['awkward_Identities_from_IndexedArray', bool_, int64, int64, int64] = None

    out['awkward_Identities_from_IndexedArray', bool_, int64, int64, uint32] = None

    out['awkward_Identities_from_ListArray', bool_, int32, int32, int32, int32] = None

    out['awkward_Identities_from_ListArray', bool_, int32, int32, int64, int64] = None

    out['awkward_Identities_from_ListArray', bool_, int32, int32, uint32, uint32] = None

    out['awkward_Identities_from_ListArray', bool_, int64, int64, int32, int32] = None

    out['awkward_Identities_from_ListArray', bool_, int64, int64, int64, int64] = None

    out['awkward_Identities_from_ListArray', bool_, int64, int64, uint32, uint32] = None

    out['awkward_Identities_from_ListOffsetArray', int32, int32, int32] = None

    out['awkward_Identities_from_ListOffsetArray', int32, int32, int64] = None

    out['awkward_Identities_from_ListOffsetArray', int32, int32, uint32] = None

    out['awkward_Identities_from_ListOffsetArray', int64, int64, int32] = None

    out['awkward_Identities_from_ListOffsetArray', int64, int64, int64] = None

    out['awkward_Identities_from_ListOffsetArray', int64, int64, uint32] = None

    out['awkward_Identities_from_RegularArray', int32, int32] = None

    out['awkward_Identities_from_RegularArray', int64, int64] = None

    out['awkward_Identities_from_UnionArray', bool_, int32, int32, int8, int32] = None

    out['awkward_Identities_from_UnionArray', bool_, int32, int32, int8, int64] = None

    out['awkward_Identities_from_UnionArray', bool_, int32, int32, int8, uint32] = None

    out['awkward_Identities_from_UnionArray', bool_, int64, int64, int8, int32] = None

    out['awkward_Identities_from_UnionArray', bool_, int64, int64, int8, int64] = None

    out['awkward_Identities_from_UnionArray', bool_, int64, int64, int8, uint32] = None

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_Identities_getitem_carry', int32, int32, int64]))(grid, block, args)
    f.dir = ['out', 'in', 'in', 'in', 'in', 'in']
    out['awkward_Identities_getitem_carry', int32, int32, int64] = f

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_Identities_getitem_carry', int64, int64, int64]))(grid, block, args)
    f.dir = ['out', 'in', 'in', 'in', 'in', 'in']
    out['awkward_Identities_getitem_carry', int64, int64, int64] = f

    out['awkward_Index_iscontiguous', bool_, int32] = None

    out['awkward_Index_iscontiguous', bool_, int64] = None

    out['awkward_Index_iscontiguous', bool_, int8] = None

    out['awkward_Index_iscontiguous', bool_, uint32] = None

    out['awkward_Index_iscontiguous', bool_, uint8] = None

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_Index_to_Index64', int64, int32]))(grid, block, args)
    f.dir = ['out', 'in', 'in']
    out['awkward_Index_to_Index64', int64, int32] = f

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_Index_to_Index64', int64, int8]))(grid, block, args)
    f.dir = ['out', 'in', 'in']
    out['awkward_Index_to_Index64', int64, int8] = f

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_Index_to_Index64', int64, uint32]))(grid, block, args)
    f.dir = ['out', 'in', 'in']
    out['awkward_Index_to_Index64', int64, uint32] = f

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_Index_to_Index64', int64, uint8]))(grid, block, args)
    f.dir = ['out', 'in', 'in']
    out['awkward_Index_to_Index64', int64, uint8] = f

    out['awkward_IndexedArray_fill', int64, int32] = None

    out['awkward_IndexedArray_fill', int64, int64] = None

    out['awkward_IndexedArray_fill', int64, uint32] = None

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_IndexedArray_fill_count', int64]))(grid, block, args)
    f.dir = ['out', 'in', 'in', 'in']
    out['awkward_IndexedArray_fill_count', int64] = f

    def f(grid, block, args):
        (tocarry, fromindex, lenindex, lencontent, invocation_index, err_code) = args
        scan_in_array = cupy.empty(lenindex, dtype=cupy.int64)
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_IndexedArray_flatten_nextcarry_a", tocarry.dtype, fromindex.dtype]))(grid, block, (tocarry, fromindex, lenindex, lencontent, scan_in_array, invocation_index, err_code))
        scan_in_array = inclusive_scan(grid, block, (scan_in_array, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_IndexedArray_flatten_nextcarry_b", tocarry.dtype, fromindex.dtype]))(grid, block, (tocarry, fromindex, lenindex, lencontent, scan_in_array, invocation_index, err_code))
    out["awkward_IndexedArray_flatten_nextcarry_a", int64, int32] = None
    out["awkward_IndexedArray_flatten_nextcarry_b", int64, int32] = None
    f.dir = ['out', 'in', 'in', 'in']
    out['awkward_IndexedArray_flatten_nextcarry', int64, int32] = f

    def f(grid, block, args):
        (tocarry, fromindex, lenindex, lencontent, invocation_index, err_code) = args
        scan_in_array = cupy.empty(lenindex, dtype=cupy.int64)
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_IndexedArray_flatten_nextcarry_a", tocarry.dtype, fromindex.dtype]))(grid, block, (tocarry, fromindex, lenindex, lencontent, scan_in_array, invocation_index, err_code))
        scan_in_array = inclusive_scan(grid, block, (scan_in_array, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_IndexedArray_flatten_nextcarry_b", tocarry.dtype, fromindex.dtype]))(grid, block, (tocarry, fromindex, lenindex, lencontent, scan_in_array, invocation_index, err_code))
    out["awkward_IndexedArray_flatten_nextcarry_a", int64, int64] = None
    out["awkward_IndexedArray_flatten_nextcarry_b", int64, int64] = None
    f.dir = ['out', 'in', 'in', 'in']
    out['awkward_IndexedArray_flatten_nextcarry', int64, int64] = f

    def f(grid, block, args):
        (tocarry, fromindex, lenindex, lencontent, invocation_index, err_code) = args
        scan_in_array = cupy.empty(lenindex, dtype=cupy.int64)
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_IndexedArray_flatten_nextcarry_a", tocarry.dtype, fromindex.dtype]))(grid, block, (tocarry, fromindex, lenindex, lencontent, scan_in_array, invocation_index, err_code))
        scan_in_array = inclusive_scan(grid, block, (scan_in_array, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_IndexedArray_flatten_nextcarry_b", tocarry.dtype, fromindex.dtype]))(grid, block, (tocarry, fromindex, lenindex, lencontent, scan_in_array, invocation_index, err_code))
    out["awkward_IndexedArray_flatten_nextcarry_a", int64, uint32] = None
    out["awkward_IndexedArray_flatten_nextcarry_b", int64, uint32] = None
    f.dir = ['out', 'in', 'in', 'in']
    out['awkward_IndexedArray_flatten_nextcarry', int64, uint32] = f

    out['awkward_IndexedArray_flatten_none2empty', int64, int32, int64] = None

    out['awkward_IndexedArray_flatten_none2empty', int64, int64, int64] = None

    out['awkward_IndexedArray_flatten_none2empty', int64, uint32, int64] = None

    out['awkward_IndexedArray_getitem_adjust_outindex', int8, int64, int64, int64, int64] = None

    out['awkward_IndexedArray_getitem_carry', int32, int32, int64] = None

    out['awkward_IndexedArray_getitem_carry', int64, int64, int64] = None

    out['awkward_IndexedArray_getitem_carry', uint32, uint32, int64] = None

    def f(grid, block, args):
        (tocarry, fromindex, lenindex, lencontent, invocation_index, err_code) = args
        scan_in_array = cupy.empty(lenindex, dtype=cupy.int64)
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_IndexedArray_getitem_nextcarry_a", tocarry.dtype, fromindex.dtype]))(grid, block, (tocarry, fromindex, lenindex, lencontent, scan_in_array, invocation_index, err_code))
        scan_in_array = inclusive_scan(grid, block, (scan_in_array, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_IndexedArray_getitem_nextcarry_b", tocarry.dtype, fromindex.dtype]))(grid, block, (tocarry, fromindex, lenindex, lencontent, scan_in_array, invocation_index, err_code))
    out["awkward_IndexedArray_getitem_nextcarry_a", int64, int32] = None
    out["awkward_IndexedArray_getitem_nextcarry_b", int64, int32] = None
    f.dir = ['out', 'in', 'in', 'in']
    out['awkward_IndexedArray_getitem_nextcarry', int64, int32] = f

    def f(grid, block, args):
        (tocarry, fromindex, lenindex, lencontent, invocation_index, err_code) = args
        scan_in_array = cupy.empty(lenindex, dtype=cupy.int64)
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_IndexedArray_getitem_nextcarry_a", tocarry.dtype, fromindex.dtype]))(grid, block, (tocarry, fromindex, lenindex, lencontent, scan_in_array, invocation_index, err_code))
        scan_in_array = inclusive_scan(grid, block, (scan_in_array, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_IndexedArray_getitem_nextcarry_b", tocarry.dtype, fromindex.dtype]))(grid, block, (tocarry, fromindex, lenindex, lencontent, scan_in_array, invocation_index, err_code))
    out["awkward_IndexedArray_getitem_nextcarry_a", int64, int64] = None
    out["awkward_IndexedArray_getitem_nextcarry_b", int64, int64] = None
    f.dir = ['out', 'in', 'in', 'in']
    out['awkward_IndexedArray_getitem_nextcarry', int64, int64] = f

    def f(grid, block, args):
        (tocarry, fromindex, lenindex, lencontent, invocation_index, err_code) = args
        scan_in_array = cupy.empty(lenindex, dtype=cupy.int64)
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_IndexedArray_getitem_nextcarry_a", tocarry.dtype, fromindex.dtype]))(grid, block, (tocarry, fromindex, lenindex, lencontent, scan_in_array, invocation_index, err_code))
        scan_in_array = inclusive_scan(grid, block, (scan_in_array, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_IndexedArray_getitem_nextcarry_b", tocarry.dtype, fromindex.dtype]))(grid, block, (tocarry, fromindex, lenindex, lencontent, scan_in_array, invocation_index, err_code))
    out["awkward_IndexedArray_getitem_nextcarry_a", int64, uint32] = None
    out["awkward_IndexedArray_getitem_nextcarry_b", int64, uint32] = None
    f.dir = ['out', 'in', 'in', 'in']
    out['awkward_IndexedArray_getitem_nextcarry', int64, uint32] = f

    def f(grid, block, args):
        (tocarry, toindex, fromindex, lenindex, lencontent, invocation_index, err_code) = args
        scan_in_array = cupy.empty(lenindex, dtype=cupy.int64)
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_IndexedArray_getitem_nextcarry_outindex_a", tocarry.dtype, toindex.dtype, fromindex.dtype]))(grid, block, (tocarry, toindex, fromindex, lenindex, lencontent, scan_in_array, invocation_index, err_code))
        scan_in_array = inclusive_scan(grid, block, (scan_in_array, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_IndexedArray_getitem_nextcarry_outindex_b", tocarry.dtype, toindex.dtype, fromindex.dtype]))(grid, block, (tocarry, toindex, fromindex, lenindex, lencontent, scan_in_array, invocation_index, err_code))
    out["awkward_IndexedArray_getitem_nextcarry_outindex_a", int64, int32, int32] = None
    out["awkward_IndexedArray_getitem_nextcarry_outindex_b", int64, int32, int32] = None
    f.dir = ['out', 'out', 'in', 'in', 'in']
    out['awkward_IndexedArray_getitem_nextcarry_outindex', int64, int32, int32] = f

    def f(grid, block, args):
        (tocarry, toindex, fromindex, lenindex, lencontent, invocation_index, err_code) = args
        scan_in_array = cupy.empty(lenindex, dtype=cupy.int64)
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_IndexedArray_getitem_nextcarry_outindex_a", tocarry.dtype, toindex.dtype, fromindex.dtype]))(grid, block, (tocarry, toindex, fromindex, lenindex, lencontent, scan_in_array, invocation_index, err_code))
        scan_in_array = inclusive_scan(grid, block, (scan_in_array, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_IndexedArray_getitem_nextcarry_outindex_b", tocarry.dtype, toindex.dtype, fromindex.dtype]))(grid, block, (tocarry, toindex, fromindex, lenindex, lencontent, scan_in_array, invocation_index, err_code))
    out["awkward_IndexedArray_getitem_nextcarry_outindex_a", int64, int64, int64] = None
    out["awkward_IndexedArray_getitem_nextcarry_outindex_b", int64, int64, int64] = None
    f.dir = ['out', 'out', 'in', 'in', 'in']
    out['awkward_IndexedArray_getitem_nextcarry_outindex', int64, int64, int64] = f

    def f(grid, block, args):
        (tocarry, toindex, fromindex, lenindex, lencontent, invocation_index, err_code) = args
        scan_in_array = cupy.empty(lenindex, dtype=cupy.int64)
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_IndexedArray_getitem_nextcarry_outindex_a", tocarry.dtype, toindex.dtype, fromindex.dtype]))(grid, block, (tocarry, toindex, fromindex, lenindex, lencontent, scan_in_array, invocation_index, err_code))
        scan_in_array = inclusive_scan(grid, block, (scan_in_array, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_IndexedArray_getitem_nextcarry_outindex_b", tocarry.dtype, toindex.dtype, fromindex.dtype]))(grid, block, (tocarry, toindex, fromindex, lenindex, lencontent, scan_in_array, invocation_index, err_code))
    out["awkward_IndexedArray_getitem_nextcarry_outindex_a", int64, uint32, uint32] = None
    out["awkward_IndexedArray_getitem_nextcarry_outindex_b", int64, uint32, uint32] = None
    f.dir = ['out', 'out', 'in', 'in', 'in']
    out['awkward_IndexedArray_getitem_nextcarry_outindex', int64, uint32, uint32] = f

    def f(grid, block, args):
        (tocarry, toindex, fromindex, lenindex, lencontent, invocation_index, err_code) = args
        scan_in_array = cupy.empty(lenindex, dtype=cupy.int64)
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_IndexedArray_getitem_nextcarry_outindex_mask_a", tocarry.dtype, toindex.dtype, fromindex.dtype]))(grid, block, (tocarry, toindex, fromindex, lenindex, lencontent, scan_in_array, invocation_index, err_code))
        scan_in_array = inclusive_scan(grid, block, (scan_in_array, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_IndexedArray_getitem_nextcarry_outindex_mask_b", tocarry.dtype, toindex.dtype, fromindex.dtype]))(grid, block, (tocarry, toindex, fromindex, lenindex, lencontent, scan_in_array, invocation_index, err_code))
    out["awkward_IndexedArray_getitem_nextcarry_outindex_mask_a", int64, int64, int32] = None
    out["awkward_IndexedArray_getitem_nextcarry_outindex_mask_b", int64, int64, int32] = None
    f.dir = ['out', 'out', 'in', 'in', 'in']
    out['awkward_IndexedArray_getitem_nextcarry_outindex_mask', int64, int64, int32] = f

    def f(grid, block, args):
        (tocarry, toindex, fromindex, lenindex, lencontent, invocation_index, err_code) = args
        scan_in_array = cupy.empty(lenindex, dtype=cupy.int64)
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_IndexedArray_getitem_nextcarry_outindex_mask_a", tocarry.dtype, toindex.dtype, fromindex.dtype]))(grid, block, (tocarry, toindex, fromindex, lenindex, lencontent, scan_in_array, invocation_index, err_code))
        scan_in_array = inclusive_scan(grid, block, (scan_in_array, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_IndexedArray_getitem_nextcarry_outindex_mask_b", tocarry.dtype, toindex.dtype, fromindex.dtype]))(grid, block, (tocarry, toindex, fromindex, lenindex, lencontent, scan_in_array, invocation_index, err_code))
    out["awkward_IndexedArray_getitem_nextcarry_outindex_mask_a", int64, int64, int64] = None
    out["awkward_IndexedArray_getitem_nextcarry_outindex_mask_b", int64, int64, int64] = None
    f.dir = ['out', 'out', 'in', 'in', 'in']
    out['awkward_IndexedArray_getitem_nextcarry_outindex_mask', int64, int64, int64] = f

    def f(grid, block, args):
        (tocarry, toindex, fromindex, lenindex, lencontent, invocation_index, err_code) = args
        scan_in_array = cupy.empty(lenindex, dtype=cupy.int64)
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_IndexedArray_getitem_nextcarry_outindex_mask_a", tocarry.dtype, toindex.dtype, fromindex.dtype]))(grid, block, (tocarry, toindex, fromindex, lenindex, lencontent, scan_in_array, invocation_index, err_code))
        scan_in_array = inclusive_scan(grid, block, (scan_in_array, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_IndexedArray_getitem_nextcarry_outindex_mask_b", tocarry.dtype, toindex.dtype, fromindex.dtype]))(grid, block, (tocarry, toindex, fromindex, lenindex, lencontent, scan_in_array, invocation_index, err_code))
    out["awkward_IndexedArray_getitem_nextcarry_outindex_mask_a", int64, int64, uint32] = None
    out["awkward_IndexedArray_getitem_nextcarry_outindex_mask_b", int64, int64, uint32] = None
    f.dir = ['out', 'out', 'in', 'in', 'in']
    out['awkward_IndexedArray_getitem_nextcarry_outindex_mask', int64, int64, uint32] = f

    out['awkward_IndexedArray_local_preparenext_64', int64, int64, int64, int64] = None

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_IndexedArray_mask', int8, int32]))(grid, block, args)
    f.dir = ['out', 'in', 'in']
    out['awkward_IndexedArray_mask', int8, int32] = f

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_IndexedArray_mask', int8, int64]))(grid, block, args)
    f.dir = ['out', 'in', 'in']
    out['awkward_IndexedArray_mask', int8, int64] = f

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_IndexedArray_mask', int8, uint32]))(grid, block, args)
    f.dir = ['out', 'in', 'in']
    out['awkward_IndexedArray_mask', int8, uint32] = f

    out['awkward_IndexedArray_numnull', int64, int32] = None

    out['awkward_IndexedArray_numnull', int64, int64] = None

    out['awkward_IndexedArray_numnull', int64, uint32] = None

    out['awkward_IndexedArray_numnull_parents', int64, int64, int32] = None

    out['awkward_IndexedArray_numnull_parents', int64, int64, int64] = None

    out['awkward_IndexedArray_numnull_parents', int64, int64, uint32] = None

    out['awkward_IndexedArray_numnull_unique_64', int64] = None

    out['awkward_IndexedArray_index_of_nulls', int64, int32, int64, int64] = None

    out['awkward_IndexedArray_index_of_nulls', int64, int64, int64, int64] = None

    out['awkward_IndexedArray_index_of_nulls', int64, uint32, int64, int64] = None

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_IndexedArray_overlay_mask', int64, int8, int32]))(grid, block, args)
    f.dir = ['out', 'in', 'in', 'in']
    out['awkward_IndexedArray_overlay_mask', int64, int8, int32] = f

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_IndexedArray_overlay_mask', int64, int8, int64]))(grid, block, args)
    f.dir = ['out', 'in', 'in', 'in']
    out['awkward_IndexedArray_overlay_mask', int64, int8, int64] = f

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_IndexedArray_overlay_mask', int64, int8, uint32]))(grid, block, args)
    f.dir = ['out', 'in', 'in', 'in']
    out['awkward_IndexedArray_overlay_mask', int64, int8, uint32] = f

    def f(grid, block, args):
        (nextcarry, nextparents, outindex, index, parents, length, invocation_index, err_code) = args
        scan_in_array = cupy.empty(length, dtype=cupy.int64)
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_IndexedArray_reduce_next_64_a", nextcarry.dtype, nextparents.dtype, outindex.dtype, index.dtype, parents.dtype]))(grid, block, (nextcarry, nextparents, outindex, index, parents, length, invocation_index, err_code))
        scan_in_array = inclusive_scan(grid, block, (scan_in_array, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_IndexedArray_reduce_next_64_b", nextcarry.dtype, nextparents.dtype, outindex.dtype, index.dtype, parents.dtype]))(grid, block, (nextcarry, nextparents, outindex, index, parents, length, invocation_index, err_code))
    out["awkward_IndexedArray_reduce_next_64_a", int64, int64, int64, int32, int64] = None
    out["awkward_IndexedArray_reduce_next_64_b", int64, int64, int64, int32, int64] = None
    f.dir = ['out', 'out', 'out', 'in', 'in', 'in']
    out['awkward_IndexedArray_reduce_next_64', int64, int64, int64, int32, int64] = f

    def f(grid, block, args):
        (nextcarry, nextparents, outindex, index, parents, length, invocation_index, err_code) = args
        scan_in_array = cupy.empty(length, dtype=cupy.int64)
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_IndexedArray_reduce_next_64_a", nextcarry.dtype, nextparents.dtype, outindex.dtype, index.dtype, parents.dtype]))(grid, block, (nextcarry, nextparents, outindex, index, parents, length, invocation_index, err_code))
        scan_in_array = inclusive_scan(grid, block, (scan_in_array, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_IndexedArray_reduce_next_64_b", nextcarry.dtype, nextparents.dtype, outindex.dtype, index.dtype, parents.dtype]))(grid, block, (nextcarry, nextparents, outindex, index, parents, length, invocation_index, err_code))
    out["awkward_IndexedArray_reduce_next_64_a", int64, int64, int64, int64, int64] = None
    out["awkward_IndexedArray_reduce_next_64_b", int64, int64, int64, int64, int64] = None
    f.dir = ['out', 'out', 'out', 'in', 'in', 'in']
    out['awkward_IndexedArray_reduce_next_64', int64, int64, int64, int64, int64] = f

    def f(grid, block, args):
        (nextcarry, nextparents, outindex, index, parents, length, invocation_index, err_code) = args
        scan_in_array = cupy.empty(length, dtype=cupy.int64)
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_IndexedArray_reduce_next_64_a", nextcarry.dtype, nextparents.dtype, outindex.dtype, index.dtype, parents.dtype]))(grid, block, (nextcarry, nextparents, outindex, index, parents, length, invocation_index, err_code))
        scan_in_array = inclusive_scan(grid, block, (scan_in_array, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_IndexedArray_reduce_next_64_b", nextcarry.dtype, nextparents.dtype, outindex.dtype, index.dtype, parents.dtype]))(grid, block, (nextcarry, nextparents, outindex, index, parents, length, invocation_index, err_code))
    out["awkward_IndexedArray_reduce_next_64_a", int64, int64, int64, uint32, int64] = None
    out["awkward_IndexedArray_reduce_next_64_b", int64, int64, int64, uint32, int64] = None
    f.dir = ['out', 'out', 'out', 'in', 'in', 'in']
    out['awkward_IndexedArray_reduce_next_64', int64, int64, int64, uint32, int64] = f

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_IndexedArray_reduce_next_fix_offsets_64', int64, int64]))(grid, block, args)
    f.dir = ['out', 'in', 'in', 'in']
    out['awkward_IndexedArray_reduce_next_fix_offsets_64', int64, int64] = f

    out['awkward_IndexedArray_unique_next_index_and_offsets_64', int64, int64, int64, int64] = None

    def f(grid, block, args):
        (nextshifts, index, length, invocation_index, err_code) = args
        scan_in_array_k = cupy.empty(length, dtype=cupy.int64)
        scan_in_array_nullsum = cupy.empty(length, dtype=cupy.int64)
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_IndexedArray_reduce_next_nonlocal_nextshifts_64_a", nextshifts.dtype, index.dtype]))(grid, block, (nextshifts, index, length, scan_in_array_k, scan_in_array_nullsum, invocation_index, err_code))
        scan_in_array_k = inclusive_scan(grid, block, (scan_in_array, invocation_index, err_code))
        scan_in_array_nullsum = inclusive_scan(grid, block, (scan_in_array, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_IndexedArray_reduce_next_nonlocal_nextshifts_64_b", nextshifts.dtype, index.dtype]))(grid, block, (nextshifts, index, length, scan_in_array_k, scan_in_array_nullsum, invocation_index, err_code))
    out["awkward_IndexedArray_reduce_next_nonlocal_nextshifts_64_a", int64, int32] = None
    out["awkward_IndexedArray_reduce_next_nonlocal_nextshifts_64_b", int64, int32] = None
    f.dir = ['out', 'in', 'in']
    out['awkward_IndexedArray_reduce_next_nonlocal_nextshifts_64', int64, int32] = f

    def f(grid, block, args):
        (nextshifts, index, length, invocation_index, err_code) = args
        scan_in_array_k = cupy.empty(length, dtype=cupy.int64)
        scan_in_array_nullsum = cupy.empty(length, dtype=cupy.int64)
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_IndexedArray_reduce_next_nonlocal_nextshifts_64_a", nextshifts.dtype, index.dtype]))(grid, block, (nextshifts, index, length, scan_in_array_k, scan_in_array_nullsum, invocation_index, err_code))
        scan_in_array_k = inclusive_scan(grid, block, (scan_in_array, invocation_index, err_code))
        scan_in_array_nullsum = inclusive_scan(grid, block, (scan_in_array, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_IndexedArray_reduce_next_nonlocal_nextshifts_64_b", nextshifts.dtype, index.dtype]))(grid, block, (nextshifts, index, length, scan_in_array_k, scan_in_array_nullsum, invocation_index, err_code))
    out["awkward_IndexedArray_reduce_next_nonlocal_nextshifts_64_a", int64, int64] = None
    out["awkward_IndexedArray_reduce_next_nonlocal_nextshifts_64_b", int64, int64] = None
    f.dir = ['out', 'in', 'in']
    out['awkward_IndexedArray_reduce_next_nonlocal_nextshifts_64', int64, int64] = f

    def f(grid, block, args):
        (nextshifts, index, length, invocation_index, err_code) = args
        scan_in_array_k = cupy.empty(length, dtype=cupy.int64)
        scan_in_array_nullsum = cupy.empty(length, dtype=cupy.int64)
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_IndexedArray_reduce_next_nonlocal_nextshifts_64_a", nextshifts.dtype, index.dtype]))(grid, block, (nextshifts, index, length, scan_in_array_k, scan_in_array_nullsum, invocation_index, err_code))
        scan_in_array_k = inclusive_scan(grid, block, (scan_in_array, invocation_index, err_code))
        scan_in_array_nullsum = inclusive_scan(grid, block, (scan_in_array, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_IndexedArray_reduce_next_nonlocal_nextshifts_64_b", nextshifts.dtype, index.dtype]))(grid, block, (nextshifts, index, length, scan_in_array_k, scan_in_array_nullsum, invocation_index, err_code))
    out["awkward_IndexedArray_reduce_next_nonlocal_nextshifts_64_a", int64, uint32] = None
    out["awkward_IndexedArray_reduce_next_nonlocal_nextshifts_64_b", int64, uint32] = None
    f.dir = ['out', 'in', 'in']
    out['awkward_IndexedArray_reduce_next_nonlocal_nextshifts_64', int64, uint32] = f

    def f(grid, block, args):
        (nextshifts, index, length, shifts, invocation_index, err_code) = args
        scan_in_array_k = cupy.empty(length, dtype=cupy.int64)
        scan_in_array_nullsum = cupy.empty(length, dtype=cupy.int64)
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_IndexedArray_reduce_next_nonlocal_nextshifts_fromshifts_64_a", nextshifts.dtype, index.dtype, shifts.dtype]))(grid, block, (nextshifts, index, length, shifts, scan_in_array_k, scan_in_array_nullsum, invocation_index, err_code))
        scan_in_array_k = inclusive_scan(grid, block, (scan_in_array, invocation_index, err_code))
        scan_in_array_nullsum = inclusive_scan(grid, block, (scan_in_array, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_IndexedArray_reduce_next_nonlocal_nextshifts_fromshifts_64_b", nextshifts.dtype, index.dtype, shifts.dtype]))(grid, block, (nextshifts, index, length, shifts, scan_in_array_k, scan_in_array_nullsum, invocation_index, err_code))
    out["awkward_IndexedArray_reduce_next_nonlocal_nextshifts_fromshifts_64_a", int64, int32, int64] = None
    out["awkward_IndexedArray_reduce_next_nonlocal_nextshifts_fromshifts_64_b", int64, int32, int64] = None
    f.dir = ['out', 'in', 'in', 'in']
    out['awkward_IndexedArray_reduce_next_nonlocal_nextshifts_fromshifts_64', int64, int32, int64] = f

    def f(grid, block, args):
        (nextshifts, index, length, shifts, invocation_index, err_code) = args
        scan_in_array_k = cupy.empty(length, dtype=cupy.int64)
        scan_in_array_nullsum = cupy.empty(length, dtype=cupy.int64)
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_IndexedArray_reduce_next_nonlocal_nextshifts_fromshifts_64_a", nextshifts.dtype, index.dtype, shifts.dtype]))(grid, block, (nextshifts, index, length, shifts, scan_in_array_k, scan_in_array_nullsum, invocation_index, err_code))
        scan_in_array_k = inclusive_scan(grid, block, (scan_in_array, invocation_index, err_code))
        scan_in_array_nullsum = inclusive_scan(grid, block, (scan_in_array, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_IndexedArray_reduce_next_nonlocal_nextshifts_fromshifts_64_b", nextshifts.dtype, index.dtype, shifts.dtype]))(grid, block, (nextshifts, index, length, shifts, scan_in_array_k, scan_in_array_nullsum, invocation_index, err_code))
    out["awkward_IndexedArray_reduce_next_nonlocal_nextshifts_fromshifts_64_a", int64, int64, int64] = None
    out["awkward_IndexedArray_reduce_next_nonlocal_nextshifts_fromshifts_64_b", int64, int64, int64] = None
    f.dir = ['out', 'in', 'in', 'in']
    out['awkward_IndexedArray_reduce_next_nonlocal_nextshifts_fromshifts_64', int64, int64, int64] = f

    def f(grid, block, args):
        (nextshifts, index, length, shifts, invocation_index, err_code) = args
        scan_in_array_k = cupy.empty(length, dtype=cupy.int64)
        scan_in_array_nullsum = cupy.empty(length, dtype=cupy.int64)
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_IndexedArray_reduce_next_nonlocal_nextshifts_fromshifts_64_a", nextshifts.dtype, index.dtype, shifts.dtype]))(grid, block, (nextshifts, index, length, shifts, scan_in_array_k, scan_in_array_nullsum, invocation_index, err_code))
        scan_in_array_k = inclusive_scan(grid, block, (scan_in_array, invocation_index, err_code))
        scan_in_array_nullsum = inclusive_scan(grid, block, (scan_in_array, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_IndexedArray_reduce_next_nonlocal_nextshifts_fromshifts_64_b", nextshifts.dtype, index.dtype, shifts.dtype]))(grid, block, (nextshifts, index, length, shifts, scan_in_array_k, scan_in_array_nullsum, invocation_index, err_code))
    out["awkward_IndexedArray_reduce_next_nonlocal_nextshifts_fromshifts_64_a", int64, uint32, int64] = None
    out["awkward_IndexedArray_reduce_next_nonlocal_nextshifts_fromshifts_64_b", int64, uint32, int64] = None
    f.dir = ['out', 'in', 'in', 'in']
    out['awkward_IndexedArray_reduce_next_nonlocal_nextshifts_fromshifts_64', int64, uint32, int64] = f

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_IndexedArray_simplify', int64, int32, int32]))(grid, block, args)
    f.dir = ['out', 'in', 'in', 'in', 'in']
    out['awkward_IndexedArray_simplify', int64, int32, int32] = f

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_IndexedArray_simplify', int64, int32, int64]))(grid, block, args)
    f.dir = ['out', 'in', 'in', 'in', 'in']
    out['awkward_IndexedArray_simplify', int64, int32, int64] = f

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_IndexedArray_simplify', int64, int32, uint32]))(grid, block, args)
    f.dir = ['out', 'in', 'in', 'in', 'in']
    out['awkward_IndexedArray_simplify', int64, int32, uint32] = f

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_IndexedArray_simplify', int64, int64, int32]))(grid, block, args)
    f.dir = ['out', 'in', 'in', 'in', 'in']
    out['awkward_IndexedArray_simplify', int64, int64, int32] = f

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_IndexedArray_simplify', int64, int64, int64]))(grid, block, args)
    f.dir = ['out', 'in', 'in', 'in', 'in']
    out['awkward_IndexedArray_simplify', int64, int64, int64] = f

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_IndexedArray_simplify', int64, int64, uint32]))(grid, block, args)
    f.dir = ['out', 'in', 'in', 'in', 'in']
    out['awkward_IndexedArray_simplify', int64, int64, uint32] = f

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_IndexedArray_simplify', int64, uint32, int32]))(grid, block, args)
    f.dir = ['out', 'in', 'in', 'in', 'in']
    out['awkward_IndexedArray_simplify', int64, uint32, int32] = f

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_IndexedArray_simplify', int64, uint32, int64]))(grid, block, args)
    f.dir = ['out', 'in', 'in', 'in', 'in']
    out['awkward_IndexedArray_simplify', int64, uint32, int64] = f

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_IndexedArray_simplify', int64, uint32, uint32]))(grid, block, args)
    f.dir = ['out', 'in', 'in', 'in', 'in']
    out['awkward_IndexedArray_simplify', int64, uint32, uint32] = f

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_IndexedArray_validity', int32]))(grid, block, args)
    f.dir = ['in', 'in', 'in', 'in']
    out['awkward_IndexedArray_validity', int32] = f

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_IndexedArray_validity', int64]))(grid, block, args)
    f.dir = ['in', 'in', 'in', 'in']
    out['awkward_IndexedArray_validity', int64] = f

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_IndexedArray_validity', uint32]))(grid, block, args)
    f.dir = ['in', 'in', 'in', 'in']
    out['awkward_IndexedArray_validity', uint32] = f

    out['awkward_IndexedArray_ranges_next_64', int32, int64, int64, int64, int64, int64] = None

    out['awkward_IndexedArray_ranges_next_64', int64, int64, int64, int64, int64, int64] = None

    out['awkward_IndexedArray_ranges_next_64', uint32, int64, int64, int64, int64, int64] = None

    out['awkward_IndexedArray_ranges_carry_next_64', int32, int64, int64, int64] = None

    out['awkward_IndexedArray_ranges_carry_next_64', int64, int64, int64, int64] = None

    out['awkward_IndexedArray_ranges_carry_next_64', uint32, int64, int64, int64] = None

    def f(grid, block, args):
        (toindex, frommask, length, invocation_index, err_code) = args
        scan_in_array = cupy.empty(length, dtype=cupy.int64)
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_IndexedOptionArray_rpad_and_clip_mask_axis1_a", toindex.dtype, frommask.dtype]))(grid, block, (toindex, frommask, length, scan_in_array, invocation_index, err_code))
        scan_in_array = inclusive_scan(grid, block, (scan_in_array, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_IndexedOptionArray_rpad_and_clip_mask_axis1_b", toindex.dtype, frommask.dtype]))(grid, block, (toindex, frommask, length, scan_in_array, invocation_index, err_code))
    out["awkward_IndexedOptionArray_rpad_and_clip_mask_axis1_a", int64, int8] = None
    out["awkward_IndexedOptionArray_rpad_and_clip_mask_axis1_b", int64, int8] = None
    f.dir = ['out', 'in', 'in']
    out['awkward_IndexedOptionArray_rpad_and_clip_mask_axis1', int64, int8] = f

    out['awkward_ListArray_broadcast_tooffsets', int64, int64, int32, int32] = None

    out['awkward_ListArray_broadcast_tooffsets', int64, int64, int64, int64] = None

    out['awkward_ListArray_broadcast_tooffsets', int64, int64, uint32, uint32] = None

    out['awkward_ListArray_combinations', int64, int64, int64, int32, int32] = None

    out['awkward_ListArray_combinations', int64, int64, int64, int64, int64] = None

    out['awkward_ListArray_combinations', int64, int64, int64, uint32, uint32] = None

    out['awkward_ListArray_combinations_length', int64, int64, int32, int32] = None

    out['awkward_ListArray_combinations_length', int64, int64, int64, int64] = None

    out['awkward_ListArray_combinations_length', int64, int64, uint32, uint32] = None

    def f(grid, block, args):
        (tooffsets, fromstarts, fromstops, length, invocation_index, err_code) = args
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_ListArray_compact_offsets_a", tooffsets.dtype, fromstarts.dtype, fromstops.dtype]))(grid, block, (tooffsets, fromstarts, fromstops, length, invocation_index, err_code))
        tooffsets = inclusive_scan(grid, block, (tooffsets, invocation_index, err_code))
    out["awkward_ListArray_compact_offsets_a", int64, int32, int32] = None
    f.dir = ['out', 'in', 'in', 'in']
    out['awkward_ListArray_compact_offsets', int64, int32, int32] = f

    def f(grid, block, args):
        (tooffsets, fromstarts, fromstops, length, invocation_index, err_code) = args
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_ListArray_compact_offsets_a", tooffsets.dtype, fromstarts.dtype, fromstops.dtype]))(grid, block, (tooffsets, fromstarts, fromstops, length, invocation_index, err_code))
        tooffsets = inclusive_scan(grid, block, (tooffsets, invocation_index, err_code))
    out["awkward_ListArray_compact_offsets_a", int64, int64, int64] = None
    f.dir = ['out', 'in', 'in', 'in']
    out['awkward_ListArray_compact_offsets', int64, int64, int64] = f

    def f(grid, block, args):
        (tooffsets, fromstarts, fromstops, length, invocation_index, err_code) = args
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_ListArray_compact_offsets_a", tooffsets.dtype, fromstarts.dtype, fromstops.dtype]))(grid, block, (tooffsets, fromstarts, fromstops, length, invocation_index, err_code))
        tooffsets = inclusive_scan(grid, block, (tooffsets, invocation_index, err_code))
    out["awkward_ListArray_compact_offsets_a", int64, uint32, uint32] = None
    f.dir = ['out', 'in', 'in', 'in']
    out['awkward_ListArray_compact_offsets', int64, uint32, uint32] = f

    out['awkward_ListArray_fill', int64, int64, int32, int32] = None

    out['awkward_ListArray_fill', int64, int64, int64, int64] = None

    out['awkward_ListArray_fill', int64, int64, uint32, uint32] = None

    out['awkward_ListArray_getitem_carry', int32, int32, int32, int32, int64] = None

    out['awkward_ListArray_getitem_carry', int64, int64, int64, int64, int64] = None

    out['awkward_ListArray_getitem_carry', uint32, uint32, uint32, uint32, int64] = None

    out['awkward_ListArray_getitem_jagged_apply', int64, int64, int64, int64, int64, int32, int32] = None

    out['awkward_ListArray_getitem_jagged_apply', int64, int64, int64, int64, int64, int64, int64] = None

    out['awkward_ListArray_getitem_jagged_apply', int64, int64, int64, int64, int64, uint32, uint32] = None

    out['awkward_ListArray_getitem_jagged_carrylen', int64, int64, int64] = None

    out['awkward_ListArray_getitem_jagged_descend', int64, int64, int64, int32, int32] = None

    out['awkward_ListArray_getitem_jagged_descend', int64, int64, int64, int64, int64] = None

    out['awkward_ListArray_getitem_jagged_descend', int64, int64, int64, uint32, uint32] = None

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_ListArray_getitem_jagged_expand', int64, int64, int64, int64, int32, int32]))(grid, block, args)
    f.dir = ['out', 'out', 'in', 'out', 'in', 'in', 'in', 'in']
    out['awkward_ListArray_getitem_jagged_expand', int64, int64, int64, int64, int32, int32] = f

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_ListArray_getitem_jagged_expand', int64, int64, int64, int64, int64, int64]))(grid, block, args)
    f.dir = ['out', 'out', 'in', 'out', 'in', 'in', 'in', 'in']
    out['awkward_ListArray_getitem_jagged_expand', int64, int64, int64, int64, int64, int64] = f

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_ListArray_getitem_jagged_expand', int64, int64, int64, int64, uint32, uint32]))(grid, block, args)
    f.dir = ['out', 'out', 'in', 'out', 'in', 'in', 'in', 'in']
    out['awkward_ListArray_getitem_jagged_expand', int64, int64, int64, int64, uint32, uint32] = f

    out['awkward_ListArray_getitem_jagged_numvalid', int64, int64, int64, int64] = None

    out['awkward_ListArray_getitem_jagged_shrink', int64, int64, int64, int64, int64, int64] = None

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_ListArray_getitem_next_array', int64, int64, int32, int32, int64]))(grid, block, args)
    f.dir = ['out', 'out', 'in', 'in', 'in', 'in', 'in', 'in']
    out['awkward_ListArray_getitem_next_array', int64, int64, int32, int32, int64] = f

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_ListArray_getitem_next_array', int64, int64, int64, int64, int64]))(grid, block, args)
    f.dir = ['out', 'out', 'in', 'in', 'in', 'in', 'in', 'in']
    out['awkward_ListArray_getitem_next_array', int64, int64, int64, int64, int64] = f

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_ListArray_getitem_next_array', int64, int64, uint32, uint32, int64]))(grid, block, args)
    f.dir = ['out', 'out', 'in', 'in', 'in', 'in', 'in', 'in']
    out['awkward_ListArray_getitem_next_array', int64, int64, uint32, uint32, int64] = f

    out['awkward_ListArray_getitem_next_array_advanced', int64, int64, int32, int32, int64, int64] = None

    out['awkward_ListArray_getitem_next_array_advanced', int64, int64, int64, int64, int64, int64] = None

    out['awkward_ListArray_getitem_next_array_advanced', int64, int64, uint32, uint32, int64, int64] = None

    out['awkward_ListArray_getitem_next_at', int64, int32, int32] = None

    out['awkward_ListArray_getitem_next_at', int64, int64, int64] = None

    out['awkward_ListArray_getitem_next_at', int64, uint32, uint32] = None

    out['awkward_ListArray_getitem_next_range', int32, int64, int32, int32] = None

    out['awkward_ListArray_getitem_next_range', int64, int64, int64, int64] = None

    out['awkward_ListArray_getitem_next_range', uint32, int64, uint32, uint32] = None

    out['awkward_ListArray_getitem_next_range_carrylength', int64, int32, int32] = None

    out['awkward_ListArray_getitem_next_range_carrylength', int64, int64, int64] = None

    out['awkward_ListArray_getitem_next_range_carrylength', int64, uint32, uint32] = None

    out['awkward_ListArray_getitem_next_range_counts', int64, int32] = None

    out['awkward_ListArray_getitem_next_range_counts', int64, int64] = None

    out['awkward_ListArray_getitem_next_range_counts', int64, uint32] = None

    out['awkward_ListArray_getitem_next_range_spreadadvanced', int64, int64, int32] = None

    out['awkward_ListArray_getitem_next_range_spreadadvanced', int64, int64, int64] = None

    out['awkward_ListArray_getitem_next_range_spreadadvanced', int64, int64, uint32] = None

    out['awkward_ListArray_localindex', int64, int32] = None

    out['awkward_ListArray_localindex', int64, int64] = None

    out['awkward_ListArray_localindex', int64, uint32] = None

    out['awkward_ListArray_min_range', int64, int32, int32] = None

    out['awkward_ListArray_min_range', int64, int64, int64] = None

    out['awkward_ListArray_min_range', int64, uint32, uint32] = None

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_ListArray_num', int64, int32, int32]))(grid, block, args)
    f.dir = ['out', 'in', 'in', 'in']
    out['awkward_ListArray_num', int64, int32, int32] = f

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_ListArray_num', int64, int64, int64]))(grid, block, args)
    f.dir = ['out', 'in', 'in', 'in']
    out['awkward_ListArray_num', int64, int64, int64] = f

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_ListArray_num', int64, uint32, uint32]))(grid, block, args)
    f.dir = ['out', 'in', 'in', 'in']
    out['awkward_ListArray_num', int64, uint32, uint32] = f

    out['awkward_ListArray_rpad_and_clip_length_axis1', int64, int32, int32] = None

    out['awkward_ListArray_rpad_and_clip_length_axis1', int64, int64, int64] = None

    out['awkward_ListArray_rpad_and_clip_length_axis1', int64, uint32, uint32] = None

    out['awkward_ListArray_rpad_axis1', int64, int32, int32, int32, int32] = None

    out['awkward_ListArray_rpad_axis1', int64, int64, int64, int64, int64] = None

    out['awkward_ListArray_rpad_axis1', int64, uint32, uint32, uint32, uint32] = None

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_ListArray_validity', int32, int32]))(grid, block, args)
    f.dir = ['in', 'in', 'in', 'in']
    out['awkward_ListArray_validity', int32, int32] = f

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_ListArray_validity', int64, int64]))(grid, block, args)
    f.dir = ['in', 'in', 'in', 'in']
    out['awkward_ListArray_validity', int64, int64] = f

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_ListArray_validity', uint32, uint32]))(grid, block, args)
    f.dir = ['in', 'in', 'in', 'in']
    out['awkward_ListArray_validity', uint32, uint32] = f

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_ListOffsetArray_compact_offsets', int64, int32]))(grid, block, args)
    f.dir = ['out', 'in', 'in']
    out['awkward_ListOffsetArray_compact_offsets', int64, int32] = f

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_ListOffsetArray_compact_offsets', int64, int64]))(grid, block, args)
    f.dir = ['out', 'in', 'in']
    out['awkward_ListOffsetArray_compact_offsets', int64, int64] = f

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_ListOffsetArray_compact_offsets', int64, uint32]))(grid, block, args)
    f.dir = ['out', 'in', 'in']
    out['awkward_ListOffsetArray_compact_offsets', int64, uint32] = f

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_ListOffsetArray_flatten_offsets', int64, int32, int64]))(grid, block, args)
    f.dir = ['out', 'in', 'in', 'in', 'in']
    out['awkward_ListOffsetArray_flatten_offsets', int64, int32, int64] = f

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_ListOffsetArray_flatten_offsets', int64, int64, int64]))(grid, block, args)
    f.dir = ['out', 'in', 'in', 'in', 'in']
    out['awkward_ListOffsetArray_flatten_offsets', int64, int64, int64] = f

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_ListOffsetArray_flatten_offsets', int64, uint32, int64]))(grid, block, args)
    f.dir = ['out', 'in', 'in', 'in', 'in']
    out['awkward_ListOffsetArray_flatten_offsets', int64, uint32, int64] = f

    out['awkward_ListOffsetArray_getitem_adjust_offsets', int64, int64, int64, int64] = None

    out['awkward_ListOffsetArray_getitem_adjust_offsets_index', int64, int64, int64, int64, int64, int8] = None

    out['awkward_ListOffsetArray_local_preparenext_64', int64, int64] = None

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_ListOffsetArray_reduce_global_startstop_64', int64, int64, int64]))(grid, block, args)
    f.dir = ['out', 'out', 'in', 'in']
    out['awkward_ListOffsetArray_reduce_global_startstop_64', int64, int64, int64] = f

    out['awkward_ListOffsetArray_reduce_local_nextparents_64', int64, int64] = None

    out['awkward_ListOffsetArray_reduce_local_outoffsets_64', int64, int64] = None

    out['awkward_ListOffsetArray_reduce_nonlocal_findgaps_64', int64, int64] = None

    out['awkward_ListOffsetArray_reduce_nonlocal_maxcount_offsetscopy_64', int64, int64, int64] = None

    out['awkward_ListOffsetArray_reduce_nonlocal_nextshifts_64', int64, int64, int64, int64, int64, int64, int64] = None

    out['awkward_ListOffsetArray_reduce_nonlocal_nextstarts_64', int64, int64] = None

    out['awkward_ListOffsetArray_reduce_nonlocal_outstartsstops_64', int64, int64, int64, int64] = None

    out['awkward_ListOffsetArray_reduce_nonlocal_preparenext_64', int64, int64, int64, int64, int64, int64, int64] = None

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_ListOffsetArray_rpad_and_clip_axis1', int64, int32]))(grid, block, args)
    f.dir = ['out', 'in', 'in', 'in']
    out['awkward_ListOffsetArray_rpad_and_clip_axis1', int64, int32] = f

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_ListOffsetArray_rpad_and_clip_axis1', int64, int64]))(grid, block, args)
    f.dir = ['out', 'in', 'in', 'in']
    out['awkward_ListOffsetArray_rpad_and_clip_axis1', int64, int64] = f

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_ListOffsetArray_rpad_and_clip_axis1', int64, uint32]))(grid, block, args)
    f.dir = ['out', 'in', 'in', 'in']
    out['awkward_ListOffsetArray_rpad_and_clip_axis1', int64, uint32] = f

    out['awkward_ListOffsetArray_rpad_axis1', int64, int32] = None

    out['awkward_ListOffsetArray_rpad_axis1', int64, int64] = None

    out['awkward_ListOffsetArray_rpad_axis1', int64, uint32] = None

    out['awkward_ListOffsetArray_rpad_length_axis1', int32, int32, int64] = None

    out['awkward_ListOffsetArray_rpad_length_axis1', int64, int64, int64] = None

    out['awkward_ListOffsetArray_rpad_length_axis1', uint32, uint32, int64] = None

    out['awkward_ListOffsetArray_toRegularArray', int64, int32] = None

    out['awkward_ListOffsetArray_toRegularArray', int64, int64] = None

    out['awkward_ListOffsetArray_toRegularArray', int64, uint32] = None

    def f(grid, block, args):
        (index, starts_in, stops_in, starts_out, stops_out, length, invocation_index, err_code) = args
        scan_in_array = cupy.empty(length, dtype=cupy.int64)
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_MaskedArray_getitem_next_jagged_project_a", index.dtype, starts_in.dtype, stops_in.dtype, starts_out.dtype, stops_out.dtype]))(grid, block, (index, starts_in, stops_in, starts_out, stops_out, length, scan_in_array, invocation_index, err_code))
        scan_in_array = inclusive_scan(grid, block, (scan_in_array, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_MaskedArray_getitem_next_jagged_project_b", index.dtype, starts_in.dtype, stops_in.dtype, starts_out.dtype, stops_out.dtype]))(grid, block, (index, starts_in, stops_in, starts_out, stops_out, length, scan_in_array, invocation_index, err_code))
    out["awkward_MaskedArray_getitem_next_jagged_project_a", int32, int64, int64, int64, int64] = None
    out["awkward_MaskedArray_getitem_next_jagged_project_b", int32, int64, int64, int64, int64] = None
    f.dir = ['in', 'in', 'in', 'out', 'out', 'in']
    out['awkward_MaskedArray_getitem_next_jagged_project', int32, int64, int64, int64, int64] = f

    def f(grid, block, args):
        (index, starts_in, stops_in, starts_out, stops_out, length, invocation_index, err_code) = args
        scan_in_array = cupy.empty(length, dtype=cupy.int64)
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_MaskedArray_getitem_next_jagged_project_a", index.dtype, starts_in.dtype, stops_in.dtype, starts_out.dtype, stops_out.dtype]))(grid, block, (index, starts_in, stops_in, starts_out, stops_out, length, scan_in_array, invocation_index, err_code))
        scan_in_array = inclusive_scan(grid, block, (scan_in_array, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_MaskedArray_getitem_next_jagged_project_b", index.dtype, starts_in.dtype, stops_in.dtype, starts_out.dtype, stops_out.dtype]))(grid, block, (index, starts_in, stops_in, starts_out, stops_out, length, scan_in_array, invocation_index, err_code))
    out["awkward_MaskedArray_getitem_next_jagged_project_a", int64, int64, int64, int64, int64] = None
    out["awkward_MaskedArray_getitem_next_jagged_project_b", int64, int64, int64, int64, int64] = None
    f.dir = ['in', 'in', 'in', 'out', 'out', 'in']
    out['awkward_MaskedArray_getitem_next_jagged_project', int64, int64, int64, int64, int64] = f

    def f(grid, block, args):
        (index, starts_in, stops_in, starts_out, stops_out, length, invocation_index, err_code) = args
        scan_in_array = cupy.empty(length, dtype=cupy.int64)
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_MaskedArray_getitem_next_jagged_project_a", index.dtype, starts_in.dtype, stops_in.dtype, starts_out.dtype, stops_out.dtype]))(grid, block, (index, starts_in, stops_in, starts_out, stops_out, length, scan_in_array, invocation_index, err_code))
        scan_in_array = inclusive_scan(grid, block, (scan_in_array, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_MaskedArray_getitem_next_jagged_project_b", index.dtype, starts_in.dtype, stops_in.dtype, starts_out.dtype, stops_out.dtype]))(grid, block, (index, starts_in, stops_in, starts_out, stops_out, length, scan_in_array, invocation_index, err_code))
    out["awkward_MaskedArray_getitem_next_jagged_project_a", uint32, int64, int64, int64, int64] = None
    out["awkward_MaskedArray_getitem_next_jagged_project_b", uint32, int64, int64, int64, int64] = None
    f.dir = ['in', 'in', 'in', 'out', 'out', 'in']
    out['awkward_MaskedArray_getitem_next_jagged_project', uint32, int64, int64, int64, int64] = f

    out['awkward_NumpyArray_copy', uint8, uint8] = None

    out['awkward_NumpyArray_contiguous_copy', uint8, uint8, int64] = None

    out['awkward_NumpyArray_contiguous_copy_from_many', uint8, uint8, int64, int64] = None

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_NumpyArray_contiguous_init', int64]))(grid, block, args)
    f.dir = ['out', 'in', 'in']
    out['awkward_NumpyArray_contiguous_init', int64] = f

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_NumpyArray_contiguous_next', int64, int64]))(grid, block, args)
    f.dir = ['out', 'in', 'in', 'in', 'in']
    out['awkward_NumpyArray_contiguous_next', int64, int64] = f

    out['awkward_NumpyArray_fill', int8, int8] = None

    out['awkward_NumpyArray_fill', int8, int16] = None

    out['awkward_NumpyArray_fill', int8, int32] = None

    out['awkward_NumpyArray_fill', int8, int64] = None

    out['awkward_NumpyArray_fill', int8, uint8] = None

    out['awkward_NumpyArray_fill', int8, uint16] = None

    out['awkward_NumpyArray_fill', int8, uint32] = None

    out['awkward_NumpyArray_fill', int8, uint64] = None

    out['awkward_NumpyArray_fill', int8, float32] = None

    out['awkward_NumpyArray_fill', int8, float64] = None

    out['awkward_NumpyArray_fill', int16, int8] = None

    out['awkward_NumpyArray_fill', int16, int16] = None

    out['awkward_NumpyArray_fill', int16, int32] = None

    out['awkward_NumpyArray_fill', int16, int64] = None

    out['awkward_NumpyArray_fill', int16, uint8] = None

    out['awkward_NumpyArray_fill', int16, uint16] = None

    out['awkward_NumpyArray_fill', int16, uint32] = None

    out['awkward_NumpyArray_fill', int16, uint64] = None

    out['awkward_NumpyArray_fill', int16, float32] = None

    out['awkward_NumpyArray_fill', int16, float64] = None

    out['awkward_NumpyArray_fill', int32, int8] = None

    out['awkward_NumpyArray_fill', int32, int16] = None

    out['awkward_NumpyArray_fill', int32, int32] = None

    out['awkward_NumpyArray_fill', int32, int64] = None

    out['awkward_NumpyArray_fill', int32, uint8] = None

    out['awkward_NumpyArray_fill', int32, uint16] = None

    out['awkward_NumpyArray_fill', int32, uint32] = None

    out['awkward_NumpyArray_fill', int32, uint64] = None

    out['awkward_NumpyArray_fill', int32, float32] = None

    out['awkward_NumpyArray_fill', int32, float64] = None

    out['awkward_NumpyArray_fill', int64, int8] = None

    out['awkward_NumpyArray_fill', int64, int16] = None

    out['awkward_NumpyArray_fill', int64, int32] = None

    out['awkward_NumpyArray_fill', int64, int64] = None

    out['awkward_NumpyArray_fill', int64, uint8] = None

    out['awkward_NumpyArray_fill', int64, uint16] = None

    out['awkward_NumpyArray_fill', int64, uint32] = None

    out['awkward_NumpyArray_fill', int64, uint64] = None

    out['awkward_NumpyArray_fill', int64, float32] = None

    out['awkward_NumpyArray_fill', int64, float64] = None

    out['awkward_NumpyArray_fill', uint8, int8] = None

    out['awkward_NumpyArray_fill', uint8, int16] = None

    out['awkward_NumpyArray_fill', uint8, int32] = None

    out['awkward_NumpyArray_fill', uint8, int64] = None

    out['awkward_NumpyArray_fill', uint8, uint8] = None

    out['awkward_NumpyArray_fill', uint8, uint16] = None

    out['awkward_NumpyArray_fill', uint8, uint32] = None

    out['awkward_NumpyArray_fill', uint8, uint64] = None

    out['awkward_NumpyArray_fill', uint8, float32] = None

    out['awkward_NumpyArray_fill', uint8, float64] = None

    out['awkward_NumpyArray_fill', uint16, int8] = None

    out['awkward_NumpyArray_fill', uint16, int16] = None

    out['awkward_NumpyArray_fill', uint16, int32] = None

    out['awkward_NumpyArray_fill', uint16, int64] = None

    out['awkward_NumpyArray_fill', uint16, uint8] = None

    out['awkward_NumpyArray_fill', uint16, uint16] = None

    out['awkward_NumpyArray_fill', uint16, uint32] = None

    out['awkward_NumpyArray_fill', uint16, uint64] = None

    out['awkward_NumpyArray_fill', uint16, float32] = None

    out['awkward_NumpyArray_fill', uint16, float64] = None

    out['awkward_NumpyArray_fill', uint32, int8] = None

    out['awkward_NumpyArray_fill', uint32, int16] = None

    out['awkward_NumpyArray_fill', uint32, int32] = None

    out['awkward_NumpyArray_fill', uint32, int64] = None

    out['awkward_NumpyArray_fill', uint32, uint8] = None

    out['awkward_NumpyArray_fill', uint32, uint16] = None

    out['awkward_NumpyArray_fill', uint32, uint32] = None

    out['awkward_NumpyArray_fill', uint32, uint64] = None

    out['awkward_NumpyArray_fill', uint32, float32] = None

    out['awkward_NumpyArray_fill', uint32, float64] = None

    out['awkward_NumpyArray_fill', uint64, int8] = None

    out['awkward_NumpyArray_fill', uint64, int16] = None

    out['awkward_NumpyArray_fill', uint64, int32] = None

    out['awkward_NumpyArray_fill', uint64, int64] = None

    out['awkward_NumpyArray_fill', uint64, uint8] = None

    out['awkward_NumpyArray_fill', uint64, uint16] = None

    out['awkward_NumpyArray_fill', uint64, uint32] = None

    out['awkward_NumpyArray_fill', uint64, uint64] = None

    out['awkward_NumpyArray_fill', uint64, float32] = None

    out['awkward_NumpyArray_fill', uint64, float64] = None

    out['awkward_NumpyArray_fill', float32, int8] = None

    out['awkward_NumpyArray_fill', float32, int16] = None

    out['awkward_NumpyArray_fill', float32, int32] = None

    out['awkward_NumpyArray_fill', float32, int64] = None

    out['awkward_NumpyArray_fill', float32, uint8] = None

    out['awkward_NumpyArray_fill', float32, uint16] = None

    out['awkward_NumpyArray_fill', float32, uint32] = None

    out['awkward_NumpyArray_fill', float32, uint64] = None

    out['awkward_NumpyArray_fill', float32, float32] = None

    out['awkward_NumpyArray_fill', float32, float64] = None

    out['awkward_NumpyArray_fill', float64, int8] = None

    out['awkward_NumpyArray_fill', float64, int16] = None

    out['awkward_NumpyArray_fill', float64, int32] = None

    out['awkward_NumpyArray_fill', float64, int64] = None

    out['awkward_NumpyArray_fill', float64, uint8] = None

    out['awkward_NumpyArray_fill', float64, uint16] = None

    out['awkward_NumpyArray_fill', float64, uint32] = None

    out['awkward_NumpyArray_fill', float64, uint64] = None

    out['awkward_NumpyArray_fill', float64, float32] = None

    out['awkward_NumpyArray_fill', float64, float64] = None

    out['awkward_NumpyArray_fill_tocomplex', float32, bool_] = None

    out['awkward_NumpyArray_fill_tocomplex', float32, int8] = None

    out['awkward_NumpyArray_fill_tocomplex', float32, int16] = None

    out['awkward_NumpyArray_fill_tocomplex', float32, int32] = None

    out['awkward_NumpyArray_fill_tocomplex', float32, int64] = None

    out['awkward_NumpyArray_fill_tocomplex', float32, uint8] = None

    out['awkward_NumpyArray_fill_tocomplex', float32, uint16] = None

    out['awkward_NumpyArray_fill_tocomplex', float32, uint32] = None

    out['awkward_NumpyArray_fill_tocomplex', float32, uint64] = None

    out['awkward_NumpyArray_fill_tocomplex', float32, float32] = None

    out['awkward_NumpyArray_fill_tocomplex', float32, float64] = None

    out['awkward_NumpyArray_fill_tocomplex', float64, bool_] = None

    out['awkward_NumpyArray_fill_tocomplex', float64, int8] = None

    out['awkward_NumpyArray_fill_tocomplex', float64, int16] = None

    out['awkward_NumpyArray_fill_tocomplex', float64, int32] = None

    out['awkward_NumpyArray_fill_tocomplex', float64, int64] = None

    out['awkward_NumpyArray_fill_tocomplex', float64, uint8] = None

    out['awkward_NumpyArray_fill_tocomplex', float64, uint16] = None

    out['awkward_NumpyArray_fill_tocomplex', float64, uint32] = None

    out['awkward_NumpyArray_fill_tocomplex', float64, uint64] = None

    out['awkward_NumpyArray_fill_tocomplex', float64, float32] = None

    out['awkward_NumpyArray_fill_tocomplex', float64, float64] = None

    out['awkward_NumpyArray_fill_fromcomplex', bool_, float32] = None

    out['awkward_NumpyArray_fill_fromcomplex', bool_, float64] = None

    out['awkward_NumpyArray_fill_fromcomplex', int8, float32] = None

    out['awkward_NumpyArray_fill_fromcomplex', int8, float64] = None

    out['awkward_NumpyArray_fill_fromcomplex', int16, float32] = None

    out['awkward_NumpyArray_fill_fromcomplex', int16, float64] = None

    out['awkward_NumpyArray_fill_fromcomplex', int32, float32] = None

    out['awkward_NumpyArray_fill_fromcomplex', int32, float64] = None

    out['awkward_NumpyArray_fill_fromcomplex', int64, float32] = None

    out['awkward_NumpyArray_fill_fromcomplex', int64, float64] = None

    out['awkward_NumpyArray_fill_fromcomplex', uint8, float32] = None

    out['awkward_NumpyArray_fill_fromcomplex', uint8, float64] = None

    out['awkward_NumpyArray_fill_fromcomplex', uint16, float32] = None

    out['awkward_NumpyArray_fill_fromcomplex', uint16, float64] = None

    out['awkward_NumpyArray_fill_fromcomplex', uint32, float32] = None

    out['awkward_NumpyArray_fill_fromcomplex', uint32, float64] = None

    out['awkward_NumpyArray_fill_fromcomplex', uint64, float32] = None

    out['awkward_NumpyArray_fill_fromcomplex', uint64, float64] = None

    out['awkward_NumpyArray_fill_fromcomplex', float32, float32] = None

    out['awkward_NumpyArray_fill_fromcomplex', float32, float64] = None

    out['awkward_NumpyArray_fill_fromcomplex', float64, float32] = None

    out['awkward_NumpyArray_fill_fromcomplex', float64, float64] = None

    out['awkward_NumpyArray_fill_frombool', bool_, bool_] = None

    out['awkward_NumpyArray_fill_frombool', int8, bool_] = None

    out['awkward_NumpyArray_fill_frombool', int16, bool_] = None

    out['awkward_NumpyArray_fill_frombool', int32, bool_] = None

    out['awkward_NumpyArray_fill_frombool', int64, bool_] = None

    out['awkward_NumpyArray_fill_frombool', uint8, bool_] = None

    out['awkward_NumpyArray_fill_frombool', uint16, bool_] = None

    out['awkward_NumpyArray_fill_frombool', uint32, bool_] = None

    out['awkward_NumpyArray_fill_frombool', uint64, bool_] = None

    out['awkward_NumpyArray_fill_frombool', float32, bool_] = None

    out['awkward_NumpyArray_fill_frombool', float64, bool_] = None

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_NumpyArray_fill_tobool', bool_, int8]))(grid, block, args)
    f.dir = ['out', 'in', 'in', 'in']
    out['awkward_NumpyArray_fill_tobool', bool_, int8] = f

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_NumpyArray_fill_tobool', bool_, int16]))(grid, block, args)
    f.dir = ['out', 'in', 'in', 'in']
    out['awkward_NumpyArray_fill_tobool', bool_, int16] = f

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_NumpyArray_fill_tobool', bool_, int32]))(grid, block, args)
    f.dir = ['out', 'in', 'in', 'in']
    out['awkward_NumpyArray_fill_tobool', bool_, int32] = f

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_NumpyArray_fill_tobool', bool_, int64]))(grid, block, args)
    f.dir = ['out', 'in', 'in', 'in']
    out['awkward_NumpyArray_fill_tobool', bool_, int64] = f

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_NumpyArray_fill_tobool', bool_, uint8]))(grid, block, args)
    f.dir = ['out', 'in', 'in', 'in']
    out['awkward_NumpyArray_fill_tobool', bool_, uint8] = f

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_NumpyArray_fill_tobool', bool_, uint16]))(grid, block, args)
    f.dir = ['out', 'in', 'in', 'in']
    out['awkward_NumpyArray_fill_tobool', bool_, uint16] = f

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_NumpyArray_fill_tobool', bool_, uint32]))(grid, block, args)
    f.dir = ['out', 'in', 'in', 'in']
    out['awkward_NumpyArray_fill_tobool', bool_, uint32] = f

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_NumpyArray_fill_tobool', bool_, uint64]))(grid, block, args)
    f.dir = ['out', 'in', 'in', 'in']
    out['awkward_NumpyArray_fill_tobool', bool_, uint64] = f

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_NumpyArray_fill_tobool', bool_, float32]))(grid, block, args)
    f.dir = ['out', 'in', 'in', 'in']
    out['awkward_NumpyArray_fill_tobool', bool_, float32] = f

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_NumpyArray_fill_tobool', bool_, float64]))(grid, block, args)
    f.dir = ['out', 'in', 'in', 'in']
    out['awkward_NumpyArray_fill_tobool', bool_, float64] = f

    out['awkward_NumpyArray_fill_scaled', int64, int64] = None

    out['awkward_NumpyArray_rearrange_shifted', int64, int64, int64, int64, int64] = None

    def f(grid, block, args):
        (toptr, fromptr, length, stride, invocation_index, err_code) = args
        scan_in_array = cupy.empty(length, dtype=cupy.int64)
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_NumpyArray_getitem_boolean_nonzero_a", toptr.dtype, fromptr.dtype]))(grid, block, (toptr, fromptr, length, stride, scan_in_array, invocation_index, err_code))
        scan_in_array = inclusive_scan(grid, block, (scan_in_array, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_NumpyArray_getitem_boolean_nonzero_b", toptr.dtype, fromptr.dtype]))(grid, block, (toptr, fromptr, length, stride, scan_in_array, invocation_index, err_code))
    out["awkward_NumpyArray_getitem_boolean_nonzero_a", int64, int8] = None
    out["awkward_NumpyArray_getitem_boolean_nonzero_b", int64, int8] = None
    f.dir = ['out', 'in', 'in', 'in']
    out['awkward_NumpyArray_getitem_boolean_nonzero', int64, int8] = f

    out['awkward_NumpyArray_getitem_boolean_numtrue', int64, int8] = None

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_NumpyArray_getitem_next_array', int64, int64, int64, int64]))(grid, block, args)
    f.dir = ['out', 'out', 'in', 'in', 'in', 'in', 'in']
    out['awkward_NumpyArray_getitem_next_array', int64, int64, int64, int64] = f

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_NumpyArray_getitem_next_array_advanced', int64, int64, int64, int64]))(grid, block, args)
    f.dir = ['out', 'in', 'in', 'in', 'in', 'in']
    out['awkward_NumpyArray_getitem_next_array_advanced', int64, int64, int64, int64] = f

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_NumpyArray_getitem_next_at', int64, int64]))(grid, block, args)
    f.dir = ['out', 'in', 'in', 'in', 'in']
    out['awkward_NumpyArray_getitem_next_at', int64, int64] = f

    out['awkward_NumpyArray_getitem_next_null', uint8, uint8, int64] = None

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_NumpyArray_getitem_next_range', int64, int64]))(grid, block, args)
    f.dir = ['out', 'in', 'in', 'in', 'in', 'in', 'in']
    out['awkward_NumpyArray_getitem_next_range', int64, int64] = f

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_NumpyArray_getitem_next_range_advanced', int64, int64, int64, int64]))(grid, block, args)
    f.dir = ['out', 'out', 'in', 'in', 'in', 'in', 'in', 'in', 'in']
    out['awkward_NumpyArray_getitem_next_range_advanced', int64, int64, int64, int64] = f

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_NumpyArray_reduce_adjust_starts_64', int64, int64, int64]))(grid, block, args)
    f.dir = ['out', 'in', 'in', 'in']
    out['awkward_NumpyArray_reduce_adjust_starts_64', int64, int64, int64] = f

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_NumpyArray_reduce_adjust_starts_shifts_64', int64, int64, int64, int64]))(grid, block, args)
    f.dir = ['out', 'in', 'in', 'in', 'in']
    out['awkward_NumpyArray_reduce_adjust_starts_shifts_64', int64, int64, int64, int64] = f

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_NumpyArray_reduce_mask_ByteMaskedArray_64', int8, int64]))(grid, block, args)
    f.dir = ['out', 'in', 'in', 'in']
    out['awkward_NumpyArray_reduce_mask_ByteMaskedArray_64', int8, int64] = f

    out['awkward_ListOffsetArray_argsort_strings', int64, int64, uint8, int64, int64] = None

    out['awkward_NumpyArray_sort_asstrings_uint8', uint8, uint8, int64, int64] = None

    out['awkward_NumpyArray_unique_ranges', int8, int64, int64, int64] = None

    out['awkward_NumpyArray_unique_ranges', int16, int64, int64, int64] = None

    out['awkward_NumpyArray_unique_ranges', int32, int64, int64, int64] = None

    out['awkward_NumpyArray_unique_ranges', int64, int64, int64, int64] = None

    out['awkward_NumpyArray_unique_ranges', uint8, int64, int64, int64] = None

    out['awkward_NumpyArray_unique_ranges', uint16, int64, int64, int64] = None

    out['awkward_NumpyArray_unique_ranges', uint32, int64, int64, int64] = None

    out['awkward_NumpyArray_unique_ranges', uint64, int64, int64, int64] = None

    out['awkward_NumpyArray_unique_ranges', float32, int64, int64, int64] = None

    out['awkward_NumpyArray_unique_ranges', float64, int64, int64, int64] = None

    out['awkward_NumpyArray_unique_strings', uint8, int64, int64, int64] = None

    out['awkward_NumpyArray_subrange_equal', bool_, int64, int64, bool_] = None

    out['awkward_NumpyArray_subrange_equal', int8, int64, int64, bool_] = None

    out['awkward_NumpyArray_subrange_equal', int16, int64, int64, bool_] = None

    out['awkward_NumpyArray_subrange_equal', int32, int64, int64, bool_] = None

    out['awkward_NumpyArray_subrange_equal', int64, int64, int64, bool_] = None

    out['awkward_NumpyArray_subrange_equal', uint8, int64, int64, bool_] = None

    out['awkward_NumpyArray_subrange_equal', uint16, int64, int64, bool_] = None

    out['awkward_NumpyArray_subrange_equal', uint32, int64, int64, bool_] = None

    out['awkward_NumpyArray_subrange_equal', uint64, int64, int64, bool_] = None

    out['awkward_NumpyArray_subrange_equal', float32, int64, int64, bool_] = None

    out['awkward_NumpyArray_subrange_equal', float64, int64, int64, bool_] = None

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_RegularArray_broadcast_tooffsets', int64]))(grid, block, args)
    f.dir = ['in', 'in', 'in']
    out['awkward_RegularArray_broadcast_tooffsets', int64] = f

    out['awkward_RegularArray_broadcast_tooffsets_size1', int64, int64] = None

    out['awkward_RegularArray_combinations_64', int64, int64, int64] = None

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_RegularArray_compact_offsets', int64]))(grid, block, args)
    f.dir = ['out', 'in', 'in']
    out['awkward_RegularArray_compact_offsets', int64] = f

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_RegularArray_getitem_carry', int64, int64]))(grid, block, args)
    f.dir = ['out', 'in', 'in', 'in']
    out['awkward_RegularArray_getitem_carry', int64, int64] = f

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_RegularArray_getitem_jagged_expand', int64, int64, int64]))(grid, block, args)
    f.dir = ['out', 'out', 'in', 'in', 'in']
    out['awkward_RegularArray_getitem_jagged_expand', int64, int64, int64] = f

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_RegularArray_getitem_next_array', int64, int64, int64]))(grid, block, args)
    f.dir = ['out', 'out', 'in', 'in', 'in', 'in']
    out['awkward_RegularArray_getitem_next_array', int64, int64, int64] = f

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_RegularArray_getitem_next_array_advanced', int64, int64, int64, int64]))(grid, block, args)
    f.dir = ['out', 'out', 'in', 'in', 'in', 'in', 'in']
    out['awkward_RegularArray_getitem_next_array_advanced', int64, int64, int64, int64] = f

    out['awkward_RegularArray_getitem_next_array_regularize', int64, int64] = None

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_RegularArray_getitem_next_at', int64]))(grid, block, args)
    f.dir = ['out', 'in', 'in', 'in']
    out['awkward_RegularArray_getitem_next_at', int64] = f

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_RegularArray_getitem_next_range', int64]))(grid, block, args)
    f.dir = ['out', 'in', 'in', 'in', 'in', 'in']
    out['awkward_RegularArray_getitem_next_range', int64] = f

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_RegularArray_getitem_next_range_spreadadvanced', int64, int64]))(grid, block, args)
    f.dir = ['out', 'in', 'in', 'in']
    out['awkward_RegularArray_getitem_next_range_spreadadvanced', int64, int64] = f

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_RegularArray_localindex', int64]))(grid, block, args)
    f.dir = ['out', 'in', 'in']
    out['awkward_RegularArray_localindex', int64] = f

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_RegularArray_num', int64]))(grid, block, args)
    f.dir = ['out', 'in', 'in']
    out['awkward_RegularArray_num', int64] = f

    out['awkward_RegularArray_rpad_and_clip_axis1', int64] = None

    out['awkward_UnionArray_fillindex', int64, int32] = None

    out['awkward_UnionArray_fillindex', int64, int64] = None

    out['awkward_UnionArray_fillindex', int64, uint32] = None

    out['awkward_UnionArray_fillindex_count', int64] = None

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_UnionArray_fillna', int64, int32]))(grid, block, args)
    f.dir = ['out', 'in', 'in']
    out['awkward_UnionArray_fillna', int64, int32] = f

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_UnionArray_fillna', int64, int64]))(grid, block, args)
    f.dir = ['out', 'in', 'in']
    out['awkward_UnionArray_fillna', int64, int64] = f

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_UnionArray_fillna', int64, uint32]))(grid, block, args)
    f.dir = ['out', 'in', 'in']
    out['awkward_UnionArray_fillna', int64, uint32] = f

    out['awkward_UnionArray_filltags', int8, int8] = None

    out['awkward_UnionArray_filltags_const', int8] = None

    out['awkward_UnionArray_flatten_combine', int8, int64, int64, int8, int32, int64] = None

    out['awkward_UnionArray_flatten_combine', int8, int64, int64, int8, int64, int64] = None

    out['awkward_UnionArray_flatten_combine', int8, int64, int64, int8, uint32, int64] = None

    out['awkward_UnionArray_flatten_length', int64, int8, int32, int64] = None

    out['awkward_UnionArray_flatten_length', int64, int8, int64, int64] = None

    out['awkward_UnionArray_flatten_length', int64, int8, uint32, int64] = None

    out['awkward_UnionArray_nestedfill_tags_index', int8, int32, int64, int64] = None

    out['awkward_UnionArray_nestedfill_tags_index', int8, int64, int64, int64] = None

    out['awkward_UnionArray_nestedfill_tags_index', int8, uint32, int64, int64] = None

    def f(grid, block, args):
        (lenout, tocarry, fromtags, fromindex, length, which, invocation_index, err_code) = args
        scan_in_array = cupy.empty(length, dtype=cupy.int64)
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_UnionArray_project_a", lenout.dtype, tocarry.dtype, fromtags.dtype, fromindex.dtype]))(grid, block, (lenout, tocarry, fromtags, fromindex, length, which, scan_in_array, invocation_index, err_code))
        scan_in_array = inclusive_scan(grid, block, (scan_in_array, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_UnionArray_project_b", lenout.dtype, tocarry.dtype, fromtags.dtype, fromindex.dtype]))(grid, block, (lenout, tocarry, fromtags, fromindex, length, which, scan_in_array, invocation_index, err_code))
    out["awkward_UnionArray_project_a", int64, int64, int8, int32] = None
    out["awkward_UnionArray_project_b", int64, int64, int8, int32] = None
    f.dir = ['out', 'out', 'in', 'in', 'in', 'in']
    out['awkward_UnionArray_project', int64, int64, int8, int32] = f

    def f(grid, block, args):
        (lenout, tocarry, fromtags, fromindex, length, which, invocation_index, err_code) = args
        scan_in_array = cupy.empty(length, dtype=cupy.int64)
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_UnionArray_project_a", lenout.dtype, tocarry.dtype, fromtags.dtype, fromindex.dtype]))(grid, block, (lenout, tocarry, fromtags, fromindex, length, which, scan_in_array, invocation_index, err_code))
        scan_in_array = inclusive_scan(grid, block, (scan_in_array, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_UnionArray_project_b", lenout.dtype, tocarry.dtype, fromtags.dtype, fromindex.dtype]))(grid, block, (lenout, tocarry, fromtags, fromindex, length, which, scan_in_array, invocation_index, err_code))
    out["awkward_UnionArray_project_a", int64, int64, int8, int64] = None
    out["awkward_UnionArray_project_b", int64, int64, int8, int64] = None
    f.dir = ['out', 'out', 'in', 'in', 'in', 'in']
    out['awkward_UnionArray_project', int64, int64, int8, int64] = f

    def f(grid, block, args):
        (lenout, tocarry, fromtags, fromindex, length, which, invocation_index, err_code) = args
        scan_in_array = cupy.empty(length, dtype=cupy.int64)
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_UnionArray_project_a", lenout.dtype, tocarry.dtype, fromtags.dtype, fromindex.dtype]))(grid, block, (lenout, tocarry, fromtags, fromindex, length, which, scan_in_array, invocation_index, err_code))
        scan_in_array = inclusive_scan(grid, block, (scan_in_array, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_UnionArray_project_b", lenout.dtype, tocarry.dtype, fromtags.dtype, fromindex.dtype]))(grid, block, (lenout, tocarry, fromtags, fromindex, length, which, scan_in_array, invocation_index, err_code))
    out["awkward_UnionArray_project_a", int64, int64, int8, uint32] = None
    out["awkward_UnionArray_project_b", int64, int64, int8, uint32] = None
    f.dir = ['out', 'out', 'in', 'in', 'in', 'in']
    out['awkward_UnionArray_project', int64, int64, int8, uint32] = f

    out['awkward_UnionArray_regular_index', int32, int32, int8] = None

    out['awkward_UnionArray_regular_index', int64, int64, int8] = None

    out['awkward_UnionArray_regular_index', uint32, uint32, int8] = None

    out['awkward_UnionArray_regular_index_getsize', int64, int8] = None

    out['awkward_UnionArray_simplify', int8, int64, int8, int32, int8, int32] = None

    out['awkward_UnionArray_simplify', int8, int64, int8, int32, int8, int64] = None

    out['awkward_UnionArray_simplify', int8, int64, int8, int32, int8, uint32] = None

    out['awkward_UnionArray_simplify', int8, int64, int8, int64, int8, int32] = None

    out['awkward_UnionArray_simplify', int8, int64, int8, int64, int8, int64] = None

    out['awkward_UnionArray_simplify', int8, int64, int8, int64, int8, uint32] = None

    out['awkward_UnionArray_simplify', int8, int64, int8, uint32, int8, int32] = None

    out['awkward_UnionArray_simplify', int8, int64, int8, uint32, int8, int64] = None

    out['awkward_UnionArray_simplify', int8, int64, int8, uint32, int8, uint32] = None

    out['awkward_UnionArray_simplify_one', int8, int64, int8, int32] = None

    out['awkward_UnionArray_simplify_one', int8, int64, int8, int64] = None

    out['awkward_UnionArray_simplify_one', int8, int64, int8, uint32] = None

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_UnionArray_validity', int8, int32, int64]))(grid, block, args)
    f.dir = ['in', 'in', 'in', 'in', 'in']
    out['awkward_UnionArray_validity', int8, int32, int64] = f

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_UnionArray_validity', int8, int64, int64]))(grid, block, args)
    f.dir = ['in', 'in', 'in', 'in', 'in']
    out['awkward_UnionArray_validity', int8, int64, int64] = f

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_UnionArray_validity', int8, uint32, int64]))(grid, block, args)
    f.dir = ['in', 'in', 'in', 'in', 'in']
    out['awkward_UnionArray_validity', int8, uint32, int64] = f

    out['awkward_argsort', int64, bool_, int64] = None

    out['awkward_argsort', int64, int8, int64] = None

    out['awkward_argsort', int64, int16, int64] = None

    out['awkward_argsort', int64, int32, int64] = None

    out['awkward_argsort', int64, int64, int64] = None

    out['awkward_argsort', int64, uint8, int64] = None

    out['awkward_argsort', int64, uint16, int64] = None

    out['awkward_argsort', int64, uint32, int64] = None

    out['awkward_argsort', int64, uint64, int64] = None

    out['awkward_argsort', int64, float32, int64] = None

    out['awkward_argsort', int64, float64, int64] = None

    out['awkward_ListOffsetArray_argsort', int64, bool_, int64] = None

    out['awkward_ListOffsetArray_argsort', int64, int8, int64] = None

    out['awkward_ListOffsetArray_argsort', int64, int16, int64] = None

    out['awkward_ListOffsetArray_argsort', int64, int32, int64] = None

    out['awkward_ListOffsetArray_argsort', int64, int64, int64] = None

    out['awkward_ListOffsetArray_argsort', int64, uint8, int64] = None

    out['awkward_ListOffsetArray_argsort', int64, uint16, int64] = None

    out['awkward_ListOffsetArray_argsort', int64, uint32, int64] = None

    out['awkward_ListOffsetArray_argsort', int64, uint64, int64] = None

    out['awkward_ListOffsetArray_argsort', int64, float32, int64] = None

    out['awkward_ListOffsetArray_argsort', int64, float64, int64] = None

    out['awkward_ListArray_argsort', int64, bool_, int64, int64] = None

    out['awkward_ListArray_argsort', int64, int8, int64, int64] = None

    out['awkward_ListArray_argsort', int64, int16, int64, int64] = None

    out['awkward_ListArray_argsort', int64, int32, int64, int64] = None

    out['awkward_ListArray_argsort', int64, int64, int64, int64] = None

    out['awkward_ListArray_argsort', int64, uint8, int64, int64] = None

    out['awkward_ListArray_argsort', int64, uint16, int64, int64] = None

    out['awkward_ListArray_argsort', int64, uint32, int64, int64] = None

    out['awkward_ListArray_argsort', int64, uint64, int64, int64] = None

    out['awkward_ListArray_argsort', int64, float32, int64, int64] = None

    out['awkward_ListArray_argsort', int64, float64, int64, int64] = None

    out['awkward_quick_argsort', int64, bool_, int64, int64, int64] = None

    out['awkward_quick_argsort', int64, int8, int64, int64, int64] = None

    out['awkward_quick_argsort', int64, int16, int64, int64, int64] = None

    out['awkward_quick_argsort', int64, int32, int64, int64, int64] = None

    out['awkward_quick_argsort', int64, int64, int64, int64, int64] = None

    out['awkward_quick_argsort', int64, uint8, int64, int64, int64] = None

    out['awkward_quick_argsort', int64, uint16, int64, int64, int64] = None

    out['awkward_quick_argsort', int64, uint32, int64, int64, int64] = None

    out['awkward_quick_argsort', int64, uint64, int64, int64, int64] = None

    out['awkward_quick_argsort', int64, float32, int64, int64, int64] = None

    out['awkward_quick_argsort', int64, float64, int64, int64, int64] = None

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_carry_arange', int32]))(grid, block, args)
    f.dir = ['out', 'in']
    out['awkward_carry_arange', int32] = f

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_carry_arange', int64]))(grid, block, args)
    f.dir = ['out', 'in']
    out['awkward_carry_arange', int64] = f

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_carry_arange', uint32]))(grid, block, args)
    f.dir = ['out', 'in']
    out['awkward_carry_arange', uint32] = f

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_combinations', int64]))(grid, block, args)
    f.dir = ['out', 'in', 'in', 'in']
    out['awkward_combinations', int64] = f

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_content_reduce_zeroparents_64', int64]))(grid, block, args)
    f.dir = ['out', 'in']
    out['awkward_content_reduce_zeroparents_64', int64] = f

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_index_carry', int32, int32, int64]))(grid, block, args)
    f.dir = ['out', 'in', 'in', 'in', 'in']
    out['awkward_index_carry', int32, int32, int64] = f

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_index_carry', int64, int64, int64]))(grid, block, args)
    f.dir = ['out', 'in', 'in', 'in', 'in']
    out['awkward_index_carry', int64, int64, int64] = f

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_index_carry', int8, int8, int64]))(grid, block, args)
    f.dir = ['out', 'in', 'in', 'in', 'in']
    out['awkward_index_carry', int8, int8, int64] = f

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_index_carry', uint32, uint32, int64]))(grid, block, args)
    f.dir = ['out', 'in', 'in', 'in', 'in']
    out['awkward_index_carry', uint32, uint32, int64] = f

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_index_carry', uint8, uint8, int64]))(grid, block, args)
    f.dir = ['out', 'in', 'in', 'in', 'in']
    out['awkward_index_carry', uint8, uint8, int64] = f

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_index_carry_nocheck', int32, int32, int64]))(grid, block, args)
    f.dir = ['out', 'in', 'in', 'in']
    out['awkward_index_carry_nocheck', int32, int32, int64] = f

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_index_carry_nocheck', int64, int64, int64]))(grid, block, args)
    f.dir = ['out', 'in', 'in', 'in']
    out['awkward_index_carry_nocheck', int64, int64, int64] = f

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_index_carry_nocheck', int8, int8, int64]))(grid, block, args)
    f.dir = ['out', 'in', 'in', 'in']
    out['awkward_index_carry_nocheck', int8, int8, int64] = f

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_index_carry_nocheck', uint32, uint32, int64]))(grid, block, args)
    f.dir = ['out', 'in', 'in', 'in']
    out['awkward_index_carry_nocheck', uint32, uint32, int64] = f

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_index_carry_nocheck', uint8, uint8, int64]))(grid, block, args)
    f.dir = ['out', 'in', 'in', 'in']
    out['awkward_index_carry_nocheck', uint8, uint8, int64] = f

    out['awkward_index_rpad_and_clip_axis0', int64] = None

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_index_rpad_and_clip_axis1', int64, int64]))(grid, block, args)
    f.dir = ['out', 'out', 'in', 'in']
    out['awkward_index_rpad_and_clip_axis1', int64, int64] = f

    out['awkward_Index_nones_as_index', int64] = None

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_localindex', int64]))(grid, block, args)
    f.dir = ['out', 'in']
    out['awkward_localindex', int64] = f

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_missing_repeat', int64, int64]))(grid, block, args)
    f.dir = ['out', 'in', 'in', 'in', 'in']
    out['awkward_missing_repeat', int64, int64] = f

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_new_Identities', int32]))(grid, block, args)
    f.dir = ['out', 'in']
    out['awkward_new_Identities', int32] = f

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_new_Identities', int64]))(grid, block, args)
    f.dir = ['out', 'in']
    out['awkward_new_Identities', int64] = f

    def f(grid, block, args):
        (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code) = args
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_argmax_a", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_argmax_b", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code))
    out["awkward_reduce_argmax_a", int64, int8, int64] = None
    out["awkward_reduce_argmax_b", int64, int8, int64] = None
    f.dir = ['out', 'in', 'in', 'in', 'in']
    out['awkward_reduce_argmax', int64, int8, int64] = f

    def f(grid, block, args):
        (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code) = args
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_argmax_a", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_argmax_b", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code))
    out["awkward_reduce_argmax_a", int64, int16, int64] = None
    out["awkward_reduce_argmax_b", int64, int16, int64] = None
    f.dir = ['out', 'in', 'in', 'in', 'in']
    out['awkward_reduce_argmax', int64, int16, int64] = f

    def f(grid, block, args):
        (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code) = args
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_argmax_a", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_argmax_b", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code))
    out["awkward_reduce_argmax_a", int64, int32, int64] = None
    out["awkward_reduce_argmax_b", int64, int32, int64] = None
    f.dir = ['out', 'in', 'in', 'in', 'in']
    out['awkward_reduce_argmax', int64, int32, int64] = f

    def f(grid, block, args):
        (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code) = args
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_argmax_a", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_argmax_b", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code))
    out["awkward_reduce_argmax_a", int64, int64, int64] = None
    out["awkward_reduce_argmax_b", int64, int64, int64] = None
    f.dir = ['out', 'in', 'in', 'in', 'in']
    out['awkward_reduce_argmax', int64, int64, int64] = f

    def f(grid, block, args):
        (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code) = args
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_argmax_a", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_argmax_b", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code))
    out["awkward_reduce_argmax_a", int64, uint8, int64] = None
    out["awkward_reduce_argmax_b", int64, uint8, int64] = None
    f.dir = ['out', 'in', 'in', 'in', 'in']
    out['awkward_reduce_argmax', int64, uint8, int64] = f

    def f(grid, block, args):
        (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code) = args
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_argmax_a", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_argmax_b", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code))
    out["awkward_reduce_argmax_a", int64, uint16, int64] = None
    out["awkward_reduce_argmax_b", int64, uint16, int64] = None
    f.dir = ['out', 'in', 'in', 'in', 'in']
    out['awkward_reduce_argmax', int64, uint16, int64] = f

    def f(grid, block, args):
        (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code) = args
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_argmax_a", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_argmax_b", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code))
    out["awkward_reduce_argmax_a", int64, uint32, int64] = None
    out["awkward_reduce_argmax_b", int64, uint32, int64] = None
    f.dir = ['out', 'in', 'in', 'in', 'in']
    out['awkward_reduce_argmax', int64, uint32, int64] = f

    def f(grid, block, args):
        (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code) = args
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_argmax_a", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_argmax_b", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code))
    out["awkward_reduce_argmax_a", int64, uint64, int64] = None
    out["awkward_reduce_argmax_b", int64, uint64, int64] = None
    f.dir = ['out', 'in', 'in', 'in', 'in']
    out['awkward_reduce_argmax', int64, uint64, int64] = f

    def f(grid, block, args):
        (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code) = args
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_argmax_a", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_argmax_b", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code))
    out["awkward_reduce_argmax_a", int64, float32, int64] = None
    out["awkward_reduce_argmax_b", int64, float32, int64] = None
    f.dir = ['out', 'in', 'in', 'in', 'in']
    out['awkward_reduce_argmax', int64, float32, int64] = f

    def f(grid, block, args):
        (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code) = args
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_argmax_a", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_argmax_b", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code))
    out["awkward_reduce_argmax_a", int64, float64, int64] = None
    out["awkward_reduce_argmax_b", int64, float64, int64] = None
    f.dir = ['out', 'in', 'in', 'in', 'in']
    out['awkward_reduce_argmax', int64, float64, int64] = f

    out['awkward_reduce_argmax_complex', int64, float32, int64] = None

    out['awkward_reduce_argmax_complex', int64, float64, int64] = None

    def f(grid, block, args):
        (toptr, fromptr, parents, lenparents, outlength, invocation_index,err_code) = args
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_argmax_bool_64_a", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_argmax_bool_64_b", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code))
    out["awkward_reduce_argmax_bool_64_a", int64, bool_, int64] = None
    out["awkward_reduce_argmax_bool_64_b", int64, bool_, int64] = None
    f.dir = ['out', 'in', 'in', 'in', 'in']
    out['awkward_reduce_argmax_bool_64', int64, bool_, int64] = f

    def f(grid, block, args):
        (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code) = args
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_argmin_a", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_argmin_b", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code))
    out["awkward_reduce_argmin_a", int64, int8, int64] = None
    out["awkward_reduce_argmin_b", int64, int8, int64] = None
    f.dir = ['out', 'in', 'in', 'in', 'in']
    out['awkward_reduce_argmin', int64, int8, int64] = f

    def f(grid, block, args):
        (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code) = args
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_argmin_a", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_argmin_b", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code))
    out["awkward_reduce_argmin_a", int64, int16, int64] = None
    out["awkward_reduce_argmin_b", int64, int16, int64] = None
    f.dir = ['out', 'in', 'in', 'in', 'in']
    out['awkward_reduce_argmin', int64, int16, int64] = f

    def f(grid, block, args):
        (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code) = args
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_argmin_a", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_argmin_b", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code))
    out["awkward_reduce_argmin_a", int64, int32, int64] = None
    out["awkward_reduce_argmin_b", int64, int32, int64] = None
    f.dir = ['out', 'in', 'in', 'in', 'in']
    out['awkward_reduce_argmin', int64, int32, int64] = f

    def f(grid, block, args):
        (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code) = args
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_argmin_a", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_argmin_b", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code))
    out["awkward_reduce_argmin_a", int64, int64, int64] = None
    out["awkward_reduce_argmin_b", int64, int64, int64] = None
    f.dir = ['out', 'in', 'in', 'in', 'in']
    out['awkward_reduce_argmin', int64, int64, int64] = f

    def f(grid, block, args):
        (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code) = args
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_argmin_a", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_argmin_b", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code))
    out["awkward_reduce_argmin_a", int64, uint8, int64] = None
    out["awkward_reduce_argmin_b", int64, uint8, int64] = None
    f.dir = ['out', 'in', 'in', 'in', 'in']
    out['awkward_reduce_argmin', int64, uint8, int64] = f

    def f(grid, block, args):
        (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code) = args
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_argmin_a", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_argmin_b", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code))
    out["awkward_reduce_argmin_a", int64, uint16, int64] = None
    out["awkward_reduce_argmin_b", int64, uint16, int64] = None
    f.dir = ['out', 'in', 'in', 'in', 'in']
    out['awkward_reduce_argmin', int64, uint16, int64] = f

    def f(grid, block, args):
        (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code) = args
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_argmin_a", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_argmin_b", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code))
    out["awkward_reduce_argmin_a", int64, uint32, int64] = None
    out["awkward_reduce_argmin_b", int64, uint32, int64] = None
    f.dir = ['out', 'in', 'in', 'in', 'in']
    out['awkward_reduce_argmin', int64, uint32, int64] = f

    def f(grid, block, args):
        (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code) = args
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_argmin_a", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_argmin_b", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code))
    out["awkward_reduce_argmin_a", int64, uint64, int64] = None
    out["awkward_reduce_argmin_b", int64, uint64, int64] = None
    f.dir = ['out', 'in', 'in', 'in', 'in']
    out['awkward_reduce_argmin', int64, uint64, int64] = f

    def f(grid, block, args):
        (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code) = args
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_argmin_a", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_argmin_b", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code))
    out["awkward_reduce_argmin_a", int64, float32, int64] = None
    out["awkward_reduce_argmin_b", int64, float32, int64] = None
    f.dir = ['out', 'in', 'in', 'in', 'in']
    out['awkward_reduce_argmin', int64, float32, int64] = f

    def f(grid, block, args):
        (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code) = args
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_argmin_a", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_argmin_b", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code))
    out["awkward_reduce_argmin_a", int64, float64, int64] = None
    out["awkward_reduce_argmin_b", int64, float64, int64] = None
    f.dir = ['out', 'in', 'in', 'in', 'in']
    out['awkward_reduce_argmin', int64, float64, int64] = f

    def f(grid, block, args):
        (toptr, fromptr, parents, lenparents, outlength, invocation_index,err_code) = args
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_argmin_bool_64_a", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_argmin_bool_64_b", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code))
    out["awkward_reduce_argmin_bool_64_a", int64, bool_, int64] = None
    out["awkward_reduce_argmin_bool_64_b", int64, bool_, int64] = None
    f.dir = ['out', 'in', 'in', 'in', 'in']
    out['awkward_reduce_argmin_bool_64', int64, bool_, int64] = f

    out['awkward_reduce_argmin_complex', int64, float32, int64] = None

    out['awkward_reduce_argmin_complex', int64, float64, int64] = None

    def f(grid, block, args):
        (toptr, fromptr, parents, lenparents, outlength, invocation_index, err_code) = args
        atomicAdd_toptr = cupy.array(toptr, dtype=cupy.uint64)
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_count_64_a", toptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_count_64_b", toptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_count_64_c", toptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
    out["awkward_reduce_count_64_a", int64, int64] = None
    out["awkward_reduce_count_64_b", int64, int64] = None
    out["awkward_reduce_count_64_c", int64, int64] = None
    f.dir = ['out', 'in', 'in', 'in']
    out['awkward_reduce_count_64', int64, int64] = f

    def f(grid, block, args):
        (toptr, fromptr, parents, lenparents, outlength, invocation_index, err_code) = args
        atomicAdd_toptr = cupy.array(toptr, dtype=cupy.uint64)
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_countnonzero_a", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_countnonzero_b", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_countnonzero_c", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
    out["awkward_reduce_countnonzero_a", int64, bool_, int64] = None
    out["awkward_reduce_countnonzero_b", int64, bool_, int64] = None
    out["awkward_reduce_countnonzero_c", int64, bool_, int64] = None
    f.dir = ['out', 'in', 'in', 'in', 'in']
    out['awkward_reduce_countnonzero', int64, bool_, int64] = f

    def f(grid, block, args):
        (toptr, fromptr, parents, lenparents, outlength, invocation_index, err_code) = args
        atomicAdd_toptr = cupy.array(toptr, dtype=cupy.uint64)
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_countnonzero_a", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_countnonzero_b", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_countnonzero_c", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
    out["awkward_reduce_countnonzero_a", int64, int8, int64] = None
    out["awkward_reduce_countnonzero_b", int64, int8, int64] = None
    out["awkward_reduce_countnonzero_c", int64, int8, int64] = None
    f.dir = ['out', 'in', 'in', 'in', 'in']
    out['awkward_reduce_countnonzero', int64, int8, int64] = f

    def f(grid, block, args):
        (toptr, fromptr, parents, lenparents, outlength, invocation_index, err_code) = args
        atomicAdd_toptr = cupy.array(toptr, dtype=cupy.uint64)
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_countnonzero_a", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_countnonzero_b", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_countnonzero_c", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
    out["awkward_reduce_countnonzero_a", int64, int16, int64] = None
    out["awkward_reduce_countnonzero_b", int64, int16, int64] = None
    out["awkward_reduce_countnonzero_c", int64, int16, int64] = None
    f.dir = ['out', 'in', 'in', 'in', 'in']
    out['awkward_reduce_countnonzero', int64, int16, int64] = f

    def f(grid, block, args):
        (toptr, fromptr, parents, lenparents, outlength, invocation_index, err_code) = args
        atomicAdd_toptr = cupy.array(toptr, dtype=cupy.uint64)
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_countnonzero_a", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_countnonzero_b", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_countnonzero_c", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
    out["awkward_reduce_countnonzero_a", int64, int32, int64] = None
    out["awkward_reduce_countnonzero_b", int64, int32, int64] = None
    out["awkward_reduce_countnonzero_c", int64, int32, int64] = None
    f.dir = ['out', 'in', 'in', 'in', 'in']
    out['awkward_reduce_countnonzero', int64, int32, int64] = f

    def f(grid, block, args):
        (toptr, fromptr, parents, lenparents, outlength, invocation_index, err_code) = args
        atomicAdd_toptr = cupy.array(toptr, dtype=cupy.uint64)
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_countnonzero_a", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_countnonzero_b", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_countnonzero_c", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
    out["awkward_reduce_countnonzero_a", int64, int64, int64] = None
    out["awkward_reduce_countnonzero_b", int64, int64, int64] = None
    out["awkward_reduce_countnonzero_c", int64, int64, int64] = None
    f.dir = ['out', 'in', 'in', 'in', 'in']
    out['awkward_reduce_countnonzero', int64, int64, int64] = f

    def f(grid, block, args):
        (toptr, fromptr, parents, lenparents, outlength, invocation_index, err_code) = args
        atomicAdd_toptr = cupy.array(toptr, dtype=cupy.uint64)
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_countnonzero_a", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_countnonzero_b", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_countnonzero_c", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
    out["awkward_reduce_countnonzero_a", int64, uint8, int64] = None
    out["awkward_reduce_countnonzero_b", int64, uint8, int64] = None
    out["awkward_reduce_countnonzero_c", int64, uint8, int64] = None
    f.dir = ['out', 'in', 'in', 'in', 'in']
    out['awkward_reduce_countnonzero', int64, uint8, int64] = f

    def f(grid, block, args):
        (toptr, fromptr, parents, lenparents, outlength, invocation_index, err_code) = args
        atomicAdd_toptr = cupy.array(toptr, dtype=cupy.uint64)
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_countnonzero_a", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_countnonzero_b", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_countnonzero_c", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
    out["awkward_reduce_countnonzero_a", int64, uint16, int64] = None
    out["awkward_reduce_countnonzero_b", int64, uint16, int64] = None
    out["awkward_reduce_countnonzero_c", int64, uint16, int64] = None
    f.dir = ['out', 'in', 'in', 'in', 'in']
    out['awkward_reduce_countnonzero', int64, uint16, int64] = f

    def f(grid, block, args):
        (toptr, fromptr, parents, lenparents, outlength, invocation_index, err_code) = args
        atomicAdd_toptr = cupy.array(toptr, dtype=cupy.uint64)
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_countnonzero_a", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_countnonzero_b", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_countnonzero_c", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
    out["awkward_reduce_countnonzero_a", int64, uint32, int64] = None
    out["awkward_reduce_countnonzero_b", int64, uint32, int64] = None
    out["awkward_reduce_countnonzero_c", int64, uint32, int64] = None
    f.dir = ['out', 'in', 'in', 'in', 'in']
    out['awkward_reduce_countnonzero', int64, uint32, int64] = f

    def f(grid, block, args):
        (toptr, fromptr, parents, lenparents, outlength, invocation_index, err_code) = args
        atomicAdd_toptr = cupy.array(toptr, dtype=cupy.uint64)
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_countnonzero_a", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_countnonzero_b", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_countnonzero_c", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
    out["awkward_reduce_countnonzero_a", int64, uint64, int64] = None
    out["awkward_reduce_countnonzero_b", int64, uint64, int64] = None
    out["awkward_reduce_countnonzero_c", int64, uint64, int64] = None
    f.dir = ['out', 'in', 'in', 'in', 'in']
    out['awkward_reduce_countnonzero', int64, uint64, int64] = f

    def f(grid, block, args):
        (toptr, fromptr, parents, lenparents, outlength, invocation_index, err_code) = args
        atomicAdd_toptr = cupy.array(toptr, dtype=cupy.uint64)
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_countnonzero_a", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_countnonzero_b", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_countnonzero_c", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
    out["awkward_reduce_countnonzero_a", int64, float32, int64] = None
    out["awkward_reduce_countnonzero_b", int64, float32, int64] = None
    out["awkward_reduce_countnonzero_c", int64, float32, int64] = None
    f.dir = ['out', 'in', 'in', 'in', 'in']
    out['awkward_reduce_countnonzero', int64, float32, int64] = f

    def f(grid, block, args):
        (toptr, fromptr, parents, lenparents, outlength, invocation_index, err_code) = args
        atomicAdd_toptr = cupy.array(toptr, dtype=cupy.uint64)
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_countnonzero_a", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_countnonzero_b", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_countnonzero_c", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
    out["awkward_reduce_countnonzero_a", int64, float64, int64] = None
    out["awkward_reduce_countnonzero_b", int64, float64, int64] = None
    out["awkward_reduce_countnonzero_c", int64, float64, int64] = None
    f.dir = ['out', 'in', 'in', 'in', 'in']
    out['awkward_reduce_countnonzero', int64, float64, int64] = f

    out['awkward_reduce_countnonzero_complex', int64, float32, int64] = None

    out['awkward_reduce_countnonzero_complex', int64, float64, int64] = None

    def f(grid, block, args):
        (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code) = args
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_max_a", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_max_b", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code))
    out["awkward_reduce_max_a", int8, int8, int64] = None
    out["awkward_reduce_max_b", int8, int8, int64] = None
    f.dir = ['out', 'in', 'in', 'in', 'in', 'in']
    out['awkward_reduce_max', int8, int8, int64] = f

    def f(grid, block, args):
        (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code) = args
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_max_a", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_max_b", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code))
    out["awkward_reduce_max_a", int16, int16, int64] = None
    out["awkward_reduce_max_b", int16, int16, int64] = None
    f.dir = ['out', 'in', 'in', 'in', 'in', 'in']
    out['awkward_reduce_max', int16, int16, int64] = f

    def f(grid, block, args):
        (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code) = args
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_max_a", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_max_b", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code))
    out["awkward_reduce_max_a", int32, int32, int64] = None
    out["awkward_reduce_max_b", int32, int32, int64] = None
    f.dir = ['out', 'in', 'in', 'in', 'in', 'in']
    out['awkward_reduce_max', int32, int32, int64] = f

    def f(grid, block, args):
        (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code) = args
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_max_a", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_max_b", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code))
    out["awkward_reduce_max_a", int64, int64, int64] = None
    out["awkward_reduce_max_b", int64, int64, int64] = None
    f.dir = ['out', 'in', 'in', 'in', 'in', 'in']
    out['awkward_reduce_max', int64, int64, int64] = f

    def f(grid, block, args):
        (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code) = args
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_max_a", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_max_b", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code))
    out["awkward_reduce_max_a", uint8, uint8, int64] = None
    out["awkward_reduce_max_b", uint8, uint8, int64] = None
    f.dir = ['out', 'in', 'in', 'in', 'in', 'in']
    out['awkward_reduce_max', uint8, uint8, int64] = f

    def f(grid, block, args):
        (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code) = args
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_max_a", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_max_b", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code))
    out["awkward_reduce_max_a", uint16, uint16, int64] = None
    out["awkward_reduce_max_b", uint16, uint16, int64] = None
    f.dir = ['out', 'in', 'in', 'in', 'in', 'in']
    out['awkward_reduce_max', uint16, uint16, int64] = f

    def f(grid, block, args):
        (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code) = args
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_max_a", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_max_b", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code))
    out["awkward_reduce_max_a", uint32, uint32, int64] = None
    out["awkward_reduce_max_b", uint32, uint32, int64] = None
    f.dir = ['out', 'in', 'in', 'in', 'in', 'in']
    out['awkward_reduce_max', uint32, uint32, int64] = f

    def f(grid, block, args):
        (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code) = args
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_max_a", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_max_b", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code))
    out["awkward_reduce_max_a", uint64, uint64, int64] = None
    out["awkward_reduce_max_b", uint64, uint64, int64] = None
    f.dir = ['out', 'in', 'in', 'in', 'in', 'in']
    out['awkward_reduce_max', uint64, uint64, int64] = f

    def f(grid, block, args):
        (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code) = args
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_max_a", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_max_b", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code))
    out["awkward_reduce_max_a", float32, float32, int64] = None
    out["awkward_reduce_max_b", float32, float32, int64] = None
    f.dir = ['out', 'in', 'in', 'in', 'in', 'in']
    out['awkward_reduce_max', float32, float32, int64] = f

    def f(grid, block, args):
        (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code) = args
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_max_a", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_max_b", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code))
    out["awkward_reduce_max_a", float64, float64, int64] = None
    out["awkward_reduce_max_b", float64, float64, int64] = None
    f.dir = ['out', 'in', 'in', 'in', 'in', 'in']
    out['awkward_reduce_max', float64, float64, int64] = f

    out['awkward_reduce_max_complex', float32, float32, int64] = None

    out['awkward_reduce_max_complex', float64, float64, int64] = None

    def f(grid, block, args):
        (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code) = args
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_min_a", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_min_b", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code))
    out["awkward_reduce_min_a", int8, int8, int64] = None
    out["awkward_reduce_min_b", int8, int8, int64] = None
    f.dir = ['out', 'in', 'in', 'in', 'in', 'in']
    out['awkward_reduce_min', int8, int8, int64] = f

    def f(grid, block, args):
        (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code) = args
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_min_a", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_min_b", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code))
    out["awkward_reduce_min_a", int16, int16, int64] = None
    out["awkward_reduce_min_b", int16, int16, int64] = None
    f.dir = ['out', 'in', 'in', 'in', 'in', 'in']
    out['awkward_reduce_min', int16, int16, int64] = f

    def f(grid, block, args):
        (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code) = args
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_min_a", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_min_b", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code))
    out["awkward_reduce_min_a", int32, int32, int64] = None
    out["awkward_reduce_min_b", int32, int32, int64] = None
    f.dir = ['out', 'in', 'in', 'in', 'in', 'in']
    out['awkward_reduce_min', int32, int32, int64] = f

    def f(grid, block, args):
        (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code) = args
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_min_a", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_min_b", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code))
    out["awkward_reduce_min_a", int64, int64, int64] = None
    out["awkward_reduce_min_b", int64, int64, int64] = None
    f.dir = ['out', 'in', 'in', 'in', 'in', 'in']
    out['awkward_reduce_min', int64, int64, int64] = f

    def f(grid, block, args):
        (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code) = args
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_min_a", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_min_b", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code))
    out["awkward_reduce_min_a", uint8, uint8, int64] = None
    out["awkward_reduce_min_b", uint8, uint8, int64] = None
    f.dir = ['out', 'in', 'in', 'in', 'in', 'in']
    out['awkward_reduce_min', uint8, uint8, int64] = f

    def f(grid, block, args):
        (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code) = args
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_min_a", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_min_b", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code))
    out["awkward_reduce_min_a", uint16, uint16, int64] = None
    out["awkward_reduce_min_b", uint16, uint16, int64] = None
    f.dir = ['out', 'in', 'in', 'in', 'in', 'in']
    out['awkward_reduce_min', uint16, uint16, int64] = f

    def f(grid, block, args):
        (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code) = args
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_min_a", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_min_b", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code))
    out["awkward_reduce_min_a", uint32, uint32, int64] = None
    out["awkward_reduce_min_b", uint32, uint32, int64] = None
    f.dir = ['out', 'in', 'in', 'in', 'in', 'in']
    out['awkward_reduce_min', uint32, uint32, int64] = f

    def f(grid, block, args):
        (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code) = args
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_min_a", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_min_b", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code))
    out["awkward_reduce_min_a", uint64, uint64, int64] = None
    out["awkward_reduce_min_b", uint64, uint64, int64] = None
    f.dir = ['out', 'in', 'in', 'in', 'in', 'in']
    out['awkward_reduce_min', uint64, uint64, int64] = f

    def f(grid, block, args):
        (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code) = args
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_min_a", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_min_b", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code))
    out["awkward_reduce_min_a", float32, float32, int64] = None
    out["awkward_reduce_min_b", float32, float32, int64] = None
    f.dir = ['out', 'in', 'in', 'in', 'in', 'in']
    out['awkward_reduce_min', float32, float32, int64] = f

    def f(grid, block, args):
        (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code) = args
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_min_a", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_min_b", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents,outlength, invocation_index,err_code))
    out["awkward_reduce_min_a", float64, float64, int64] = None
    out["awkward_reduce_min_b", float64, float64, int64] = None
    f.dir = ['out', 'in', 'in', 'in', 'in', 'in']
    out['awkward_reduce_min', float64, float64, int64] = f

    out['awkward_reduce_min_complex', float32, float32, int64] = None

    out['awkward_reduce_min_complex', float64, float64, int64] = None

    out['awkward_reduce_prod', int32, int8, int64] = None

    out['awkward_reduce_prod', int32, int16, int64] = None

    out['awkward_reduce_prod', int32, int32, int64] = None

    out['awkward_reduce_prod', int64, int8, int64] = None

    out['awkward_reduce_prod', int64, int16, int64] = None

    out['awkward_reduce_prod', int64, int32, int64] = None

    out['awkward_reduce_prod', int64, int64, int64] = None

    out['awkward_reduce_prod', uint32, uint8, int64] = None

    out['awkward_reduce_prod', uint32, uint16, int64] = None

    out['awkward_reduce_prod', uint32, uint32, int64] = None

    out['awkward_reduce_prod', uint64, uint8, int64] = None

    out['awkward_reduce_prod', uint64, uint16, int64] = None

    out['awkward_reduce_prod', uint64, uint32, int64] = None

    out['awkward_reduce_prod', uint64, uint64, int64] = None

    out['awkward_reduce_prod', float32, float32, int64] = None

    out['awkward_reduce_prod', float64, float64, int64] = None

    out['awkward_reduce_prod_complex', float32, float32, int64] = None

    out['awkward_reduce_prod_complex', float64, float64, int64] = None

    def f(grid, block, args):
        (toptr, fromptr, parents, lenparents, outlength, invocation_index, err_code) = args
        atomicAdd_toptr = cupy.array(toptr, dtype=cupy.uint64)
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_prod_bool_a", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_prod_bool_b", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_prod_bool_c", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
    out["awkward_reduce_prod_bool_a", bool_, bool_, int64] = None
    out["awkward_reduce_prod_bool_b", bool_, bool_, int64] = None
    out["awkward_reduce_prod_bool_c", bool_, bool_, int64] = None
    f.dir = ['out', 'in', 'in', 'in', 'in']
    out['awkward_reduce_prod_bool', bool_, bool_, int64] = f

    def f(grid, block, args):
        (toptr, fromptr, parents, lenparents, outlength, invocation_index, err_code) = args
        atomicAdd_toptr = cupy.array(toptr, dtype=cupy.uint64)
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_prod_bool_a", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_prod_bool_b", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_prod_bool_c", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
    out["awkward_reduce_prod_bool_a", bool_, int8, int64] = None
    out["awkward_reduce_prod_bool_b", bool_, int8, int64] = None
    out["awkward_reduce_prod_bool_c", bool_, int8, int64] = None
    f.dir = ['out', 'in', 'in', 'in', 'in']
    out['awkward_reduce_prod_bool', bool_, int8, int64] = f

    def f(grid, block, args):
        (toptr, fromptr, parents, lenparents, outlength, invocation_index, err_code) = args
        atomicAdd_toptr = cupy.array(toptr, dtype=cupy.uint64)
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_prod_bool_a", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_prod_bool_b", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_prod_bool_c", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
    out["awkward_reduce_prod_bool_a", bool_, int16, int64] = None
    out["awkward_reduce_prod_bool_b", bool_, int16, int64] = None
    out["awkward_reduce_prod_bool_c", bool_, int16, int64] = None
    f.dir = ['out', 'in', 'in', 'in', 'in']
    out['awkward_reduce_prod_bool', bool_, int16, int64] = f

    def f(grid, block, args):
        (toptr, fromptr, parents, lenparents, outlength, invocation_index, err_code) = args
        atomicAdd_toptr = cupy.array(toptr, dtype=cupy.uint64)
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_prod_bool_a", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_prod_bool_b", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_prod_bool_c", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
    out["awkward_reduce_prod_bool_a", bool_, int32, int64] = None
    out["awkward_reduce_prod_bool_b", bool_, int32, int64] = None
    out["awkward_reduce_prod_bool_c", bool_, int32, int64] = None
    f.dir = ['out', 'in', 'in', 'in', 'in']
    out['awkward_reduce_prod_bool', bool_, int32, int64] = f

    def f(grid, block, args):
        (toptr, fromptr, parents, lenparents, outlength, invocation_index, err_code) = args
        atomicAdd_toptr = cupy.array(toptr, dtype=cupy.uint64)
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_prod_bool_a", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_prod_bool_b", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_prod_bool_c", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
    out["awkward_reduce_prod_bool_a", bool_, int64, int64] = None
    out["awkward_reduce_prod_bool_b", bool_, int64, int64] = None
    out["awkward_reduce_prod_bool_c", bool_, int64, int64] = None
    f.dir = ['out', 'in', 'in', 'in', 'in']
    out['awkward_reduce_prod_bool', bool_, int64, int64] = f

    def f(grid, block, args):
        (toptr, fromptr, parents, lenparents, outlength, invocation_index, err_code) = args
        atomicAdd_toptr = cupy.array(toptr, dtype=cupy.uint64)
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_prod_bool_a", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_prod_bool_b", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_prod_bool_c", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
    out["awkward_reduce_prod_bool_a", bool_, uint8, int64] = None
    out["awkward_reduce_prod_bool_b", bool_, uint8, int64] = None
    out["awkward_reduce_prod_bool_c", bool_, uint8, int64] = None
    f.dir = ['out', 'in', 'in', 'in', 'in']
    out['awkward_reduce_prod_bool', bool_, uint8, int64] = f

    def f(grid, block, args):
        (toptr, fromptr, parents, lenparents, outlength, invocation_index, err_code) = args
        atomicAdd_toptr = cupy.array(toptr, dtype=cupy.uint64)
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_prod_bool_a", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_prod_bool_b", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_prod_bool_c", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
    out["awkward_reduce_prod_bool_a", bool_, uint16, int64] = None
    out["awkward_reduce_prod_bool_b", bool_, uint16, int64] = None
    out["awkward_reduce_prod_bool_c", bool_, uint16, int64] = None
    f.dir = ['out', 'in', 'in', 'in', 'in']
    out['awkward_reduce_prod_bool', bool_, uint16, int64] = f

    def f(grid, block, args):
        (toptr, fromptr, parents, lenparents, outlength, invocation_index, err_code) = args
        atomicAdd_toptr = cupy.array(toptr, dtype=cupy.uint64)
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_prod_bool_a", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_prod_bool_b", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_prod_bool_c", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
    out["awkward_reduce_prod_bool_a", bool_, uint32, int64] = None
    out["awkward_reduce_prod_bool_b", bool_, uint32, int64] = None
    out["awkward_reduce_prod_bool_c", bool_, uint32, int64] = None
    f.dir = ['out', 'in', 'in', 'in', 'in']
    out['awkward_reduce_prod_bool', bool_, uint32, int64] = f

    def f(grid, block, args):
        (toptr, fromptr, parents, lenparents, outlength, invocation_index, err_code) = args
        atomicAdd_toptr = cupy.array(toptr, dtype=cupy.uint64)
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_prod_bool_a", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_prod_bool_b", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_prod_bool_c", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
    out["awkward_reduce_prod_bool_a", bool_, uint64, int64] = None
    out["awkward_reduce_prod_bool_b", bool_, uint64, int64] = None
    out["awkward_reduce_prod_bool_c", bool_, uint64, int64] = None
    f.dir = ['out', 'in', 'in', 'in', 'in']
    out['awkward_reduce_prod_bool', bool_, uint64, int64] = f

    def f(grid, block, args):
        (toptr, fromptr, parents, lenparents, outlength, invocation_index, err_code) = args
        atomicAdd_toptr = cupy.array(toptr, dtype=cupy.uint64)
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_prod_bool_a", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_prod_bool_b", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_prod_bool_c", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
    out["awkward_reduce_prod_bool_a", bool_, float32, int64] = None
    out["awkward_reduce_prod_bool_b", bool_, float32, int64] = None
    out["awkward_reduce_prod_bool_c", bool_, float32, int64] = None
    f.dir = ['out', 'in', 'in', 'in', 'in']
    out['awkward_reduce_prod_bool', bool_, float32, int64] = f

    def f(grid, block, args):
        (toptr, fromptr, parents, lenparents, outlength, invocation_index, err_code) = args
        atomicAdd_toptr = cupy.array(toptr, dtype=cupy.uint64)
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_prod_bool_a", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_prod_bool_b", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_prod_bool_c", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
    out["awkward_reduce_prod_bool_a", bool_, float64, int64] = None
    out["awkward_reduce_prod_bool_b", bool_, float64, int64] = None
    out["awkward_reduce_prod_bool_c", bool_, float64, int64] = None
    f.dir = ['out', 'in', 'in', 'in', 'in']
    out['awkward_reduce_prod_bool', bool_, float64, int64] = f

    out['awkward_reduce_prod_bool_complex', bool_, float32, int64] = None

    out['awkward_reduce_prod_bool_complex', bool_, float64, int64] = None

    out['awkward_reduce_prod_int32_bool_64', int32, bool_, int64] = None

    out['awkward_reduce_prod_int64_bool_64', int64, bool_, int64] = None

    def f(grid, block, args):
        (toptr, fromptr, parents, lenparents, outlength, invocation_index, err_code) = args
        atomicAdd_toptr = cupy.array(toptr, dtype=cupy.uint64)
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_sum_a", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_sum_b", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_sum_c", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
    out["awkward_reduce_sum_a", int32, int8, int64] = None
    out["awkward_reduce_sum_b", int32, int8, int64] = None
    out["awkward_reduce_sum_c", int32, int8, int64] = None
    f.dir = ['out', 'in', 'in', 'in', 'in']
    out['awkward_reduce_sum', int32, int8, int64] = f

    def f(grid, block, args):
        (toptr, fromptr, parents, lenparents, outlength, invocation_index, err_code) = args
        atomicAdd_toptr = cupy.array(toptr, dtype=cupy.uint64)
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_sum_a", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_sum_b", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_sum_c", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
    out["awkward_reduce_sum_a", int32, int16, int64] = None
    out["awkward_reduce_sum_b", int32, int16, int64] = None
    out["awkward_reduce_sum_c", int32, int16, int64] = None
    f.dir = ['out', 'in', 'in', 'in', 'in']
    out['awkward_reduce_sum', int32, int16, int64] = f

    def f(grid, block, args):
        (toptr, fromptr, parents, lenparents, outlength, invocation_index, err_code) = args
        atomicAdd_toptr = cupy.array(toptr, dtype=cupy.uint64)
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_sum_a", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_sum_b", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_sum_c", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
    out["awkward_reduce_sum_a", int32, int32, int64] = None
    out["awkward_reduce_sum_b", int32, int32, int64] = None
    out["awkward_reduce_sum_c", int32, int32, int64] = None
    f.dir = ['out', 'in', 'in', 'in', 'in']
    out['awkward_reduce_sum', int32, int32, int64] = f

    def f(grid, block, args):
        (toptr, fromptr, parents, lenparents, outlength, invocation_index, err_code) = args
        atomicAdd_toptr = cupy.array(toptr, dtype=cupy.uint64)
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_sum_a", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_sum_b", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_sum_c", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
    out["awkward_reduce_sum_a", int64, int8, int64] = None
    out["awkward_reduce_sum_b", int64, int8, int64] = None
    out["awkward_reduce_sum_c", int64, int8, int64] = None
    f.dir = ['out', 'in', 'in', 'in', 'in']
    out['awkward_reduce_sum', int64, int8, int64] = f

    def f(grid, block, args):
        (toptr, fromptr, parents, lenparents, outlength, invocation_index, err_code) = args
        atomicAdd_toptr = cupy.array(toptr, dtype=cupy.uint64)
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_sum_a", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_sum_b", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_sum_c", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
    out["awkward_reduce_sum_a", int64, int16, int64] = None
    out["awkward_reduce_sum_b", int64, int16, int64] = None
    out["awkward_reduce_sum_c", int64, int16, int64] = None
    f.dir = ['out', 'in', 'in', 'in', 'in']
    out['awkward_reduce_sum', int64, int16, int64] = f

    def f(grid, block, args):
        (toptr, fromptr, parents, lenparents, outlength, invocation_index, err_code) = args
        atomicAdd_toptr = cupy.array(toptr, dtype=cupy.uint64)
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_sum_a", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_sum_b", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_sum_c", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
    out["awkward_reduce_sum_a", int64, int32, int64] = None
    out["awkward_reduce_sum_b", int64, int32, int64] = None
    out["awkward_reduce_sum_c", int64, int32, int64] = None
    f.dir = ['out', 'in', 'in', 'in', 'in']
    out['awkward_reduce_sum', int64, int32, int64] = f

    def f(grid, block, args):
        (toptr, fromptr, parents, lenparents, outlength, invocation_index, err_code) = args
        atomicAdd_toptr = cupy.array(toptr, dtype=cupy.uint64)
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_sum_a", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_sum_b", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_sum_c", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
    out["awkward_reduce_sum_a", int64, int64, int64] = None
    out["awkward_reduce_sum_b", int64, int64, int64] = None
    out["awkward_reduce_sum_c", int64, int64, int64] = None
    f.dir = ['out', 'in', 'in', 'in', 'in']
    out['awkward_reduce_sum', int64, int64, int64] = f

    def f(grid, block, args):
        (toptr, fromptr, parents, lenparents, outlength, invocation_index, err_code) = args
        atomicAdd_toptr = cupy.array(toptr, dtype=cupy.uint64)
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_sum_a", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_sum_b", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_sum_c", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
    out["awkward_reduce_sum_a", uint32, uint8, int64] = None
    out["awkward_reduce_sum_b", uint32, uint8, int64] = None
    out["awkward_reduce_sum_c", uint32, uint8, int64] = None
    f.dir = ['out', 'in', 'in', 'in', 'in']
    out['awkward_reduce_sum', uint32, uint8, int64] = f

    def f(grid, block, args):
        (toptr, fromptr, parents, lenparents, outlength, invocation_index, err_code) = args
        atomicAdd_toptr = cupy.array(toptr, dtype=cupy.uint64)
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_sum_a", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_sum_b", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_sum_c", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
    out["awkward_reduce_sum_a", uint32, uint16, int64] = None
    out["awkward_reduce_sum_b", uint32, uint16, int64] = None
    out["awkward_reduce_sum_c", uint32, uint16, int64] = None
    f.dir = ['out', 'in', 'in', 'in', 'in']
    out['awkward_reduce_sum', uint32, uint16, int64] = f

    def f(grid, block, args):
        (toptr, fromptr, parents, lenparents, outlength, invocation_index, err_code) = args
        atomicAdd_toptr = cupy.array(toptr, dtype=cupy.uint64)
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_sum_a", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_sum_b", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_sum_c", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
    out["awkward_reduce_sum_a", uint32, uint32, int64] = None
    out["awkward_reduce_sum_b", uint32, uint32, int64] = None
    out["awkward_reduce_sum_c", uint32, uint32, int64] = None
    f.dir = ['out', 'in', 'in', 'in', 'in']
    out['awkward_reduce_sum', uint32, uint32, int64] = f

    def f(grid, block, args):
        (toptr, fromptr, parents, lenparents, outlength, invocation_index, err_code) = args
        atomicAdd_toptr = cupy.array(toptr, dtype=cupy.uint64)
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_sum_a", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_sum_b", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_sum_c", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
    out["awkward_reduce_sum_a", uint64, uint8, int64] = None
    out["awkward_reduce_sum_b", uint64, uint8, int64] = None
    out["awkward_reduce_sum_c", uint64, uint8, int64] = None
    f.dir = ['out', 'in', 'in', 'in', 'in']
    out['awkward_reduce_sum', uint64, uint8, int64] = f

    def f(grid, block, args):
        (toptr, fromptr, parents, lenparents, outlength, invocation_index, err_code) = args
        atomicAdd_toptr = cupy.array(toptr, dtype=cupy.uint64)
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_sum_a", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_sum_b", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_sum_c", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
    out["awkward_reduce_sum_a", uint64, uint16, int64] = None
    out["awkward_reduce_sum_b", uint64, uint16, int64] = None
    out["awkward_reduce_sum_c", uint64, uint16, int64] = None
    f.dir = ['out', 'in', 'in', 'in', 'in']
    out['awkward_reduce_sum', uint64, uint16, int64] = f

    def f(grid, block, args):
        (toptr, fromptr, parents, lenparents, outlength, invocation_index, err_code) = args
        atomicAdd_toptr = cupy.array(toptr, dtype=cupy.uint64)
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_sum_a", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_sum_b", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_sum_c", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
    out["awkward_reduce_sum_a", uint64, uint32, int64] = None
    out["awkward_reduce_sum_b", uint64, uint32, int64] = None
    out["awkward_reduce_sum_c", uint64, uint32, int64] = None
    f.dir = ['out', 'in', 'in', 'in', 'in']
    out['awkward_reduce_sum', uint64, uint32, int64] = f

    def f(grid, block, args):
        (toptr, fromptr, parents, lenparents, outlength, invocation_index, err_code) = args
        atomicAdd_toptr = cupy.array(toptr, dtype=cupy.uint64)
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_sum_a", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_sum_b", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_sum_c", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
    out["awkward_reduce_sum_a", uint64, uint64, int64] = None
    out["awkward_reduce_sum_b", uint64, uint64, int64] = None
    out["awkward_reduce_sum_c", uint64, uint64, int64] = None
    f.dir = ['out', 'in', 'in', 'in', 'in']
    out['awkward_reduce_sum', uint64, uint64, int64] = f

    def f(grid, block, args):
        (toptr, fromptr, parents, lenparents, outlength, invocation_index, err_code) = args
        atomicAdd_toptr = cupy.array(toptr, dtype=cupy.uint64)
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_sum_a", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_sum_b", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_sum_c", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
    out["awkward_reduce_sum_a", float32, float32, int64] = None
    out["awkward_reduce_sum_b", float32, float32, int64] = None
    out["awkward_reduce_sum_c", float32, float32, int64] = None
    f.dir = ['out', 'in', 'in', 'in', 'in']
    out['awkward_reduce_sum', float32, float32, int64] = f

    def f(grid, block, args):
        (toptr, fromptr, parents, lenparents, outlength, invocation_index, err_code) = args
        atomicAdd_toptr = cupy.array(toptr, dtype=cupy.uint64)
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_sum_a", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_sum_b", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_sum_c", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
    out["awkward_reduce_sum_a", float64, float64, int64] = None
    out["awkward_reduce_sum_b", float64, float64, int64] = None
    out["awkward_reduce_sum_c", float64, float64, int64] = None
    f.dir = ['out', 'in', 'in', 'in', 'in']
    out['awkward_reduce_sum', float64, float64, int64] = f

    out['awkward_reduce_sum_complex', float32, float32, int64] = None

    out['awkward_reduce_sum_complex', float64, float64, int64] = None

    def f(grid, block, args):
        (toptr, fromptr, parents, lenparents, outlength, invocation_index, err_code) = args
        atomicAdd_toptr = cupy.array(toptr, dtype=cupy.uint64)
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_sum_bool_a", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_sum_bool_b", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_sum_bool_c", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
    out["awkward_reduce_sum_bool_a", bool_, bool_, int64] = None
    out["awkward_reduce_sum_bool_b", bool_, bool_, int64] = None
    out["awkward_reduce_sum_bool_c", bool_, bool_, int64] = None
    f.dir = ['out', 'in', 'in', 'in', 'in']
    out['awkward_reduce_sum_bool', bool_, bool_, int64] = f

    def f(grid, block, args):
        (toptr, fromptr, parents, lenparents, outlength, invocation_index, err_code) = args
        atomicAdd_toptr = cupy.array(toptr, dtype=cupy.uint64)
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_sum_bool_a", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_sum_bool_b", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_sum_bool_c", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
    out["awkward_reduce_sum_bool_a", bool_, int8, int64] = None
    out["awkward_reduce_sum_bool_b", bool_, int8, int64] = None
    out["awkward_reduce_sum_bool_c", bool_, int8, int64] = None
    f.dir = ['out', 'in', 'in', 'in', 'in']
    out['awkward_reduce_sum_bool', bool_, int8, int64] = f

    def f(grid, block, args):
        (toptr, fromptr, parents, lenparents, outlength, invocation_index, err_code) = args
        atomicAdd_toptr = cupy.array(toptr, dtype=cupy.uint64)
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_sum_bool_a", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_sum_bool_b", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_sum_bool_c", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
    out["awkward_reduce_sum_bool_a", bool_, int16, int64] = None
    out["awkward_reduce_sum_bool_b", bool_, int16, int64] = None
    out["awkward_reduce_sum_bool_c", bool_, int16, int64] = None
    f.dir = ['out', 'in', 'in', 'in', 'in']
    out['awkward_reduce_sum_bool', bool_, int16, int64] = f

    def f(grid, block, args):
        (toptr, fromptr, parents, lenparents, outlength, invocation_index, err_code) = args
        atomicAdd_toptr = cupy.array(toptr, dtype=cupy.uint64)
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_sum_bool_a", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_sum_bool_b", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_sum_bool_c", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
    out["awkward_reduce_sum_bool_a", bool_, int32, int64] = None
    out["awkward_reduce_sum_bool_b", bool_, int32, int64] = None
    out["awkward_reduce_sum_bool_c", bool_, int32, int64] = None
    f.dir = ['out', 'in', 'in', 'in', 'in']
    out['awkward_reduce_sum_bool', bool_, int32, int64] = f

    def f(grid, block, args):
        (toptr, fromptr, parents, lenparents, outlength, invocation_index, err_code) = args
        atomicAdd_toptr = cupy.array(toptr, dtype=cupy.uint64)
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_sum_bool_a", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_sum_bool_b", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_sum_bool_c", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
    out["awkward_reduce_sum_bool_a", bool_, int64, int64] = None
    out["awkward_reduce_sum_bool_b", bool_, int64, int64] = None
    out["awkward_reduce_sum_bool_c", bool_, int64, int64] = None
    f.dir = ['out', 'in', 'in', 'in', 'in']
    out['awkward_reduce_sum_bool', bool_, int64, int64] = f

    def f(grid, block, args):
        (toptr, fromptr, parents, lenparents, outlength, invocation_index, err_code) = args
        atomicAdd_toptr = cupy.array(toptr, dtype=cupy.uint64)
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_sum_bool_a", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_sum_bool_b", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_sum_bool_c", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
    out["awkward_reduce_sum_bool_a", bool_, uint8, int64] = None
    out["awkward_reduce_sum_bool_b", bool_, uint8, int64] = None
    out["awkward_reduce_sum_bool_c", bool_, uint8, int64] = None
    f.dir = ['out', 'in', 'in', 'in', 'in']
    out['awkward_reduce_sum_bool', bool_, uint8, int64] = f

    def f(grid, block, args):
        (toptr, fromptr, parents, lenparents, outlength, invocation_index, err_code) = args
        atomicAdd_toptr = cupy.array(toptr, dtype=cupy.uint64)
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_sum_bool_a", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_sum_bool_b", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_sum_bool_c", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
    out["awkward_reduce_sum_bool_a", bool_, uint16, int64] = None
    out["awkward_reduce_sum_bool_b", bool_, uint16, int64] = None
    out["awkward_reduce_sum_bool_c", bool_, uint16, int64] = None
    f.dir = ['out', 'in', 'in', 'in', 'in']
    out['awkward_reduce_sum_bool', bool_, uint16, int64] = f

    def f(grid, block, args):
        (toptr, fromptr, parents, lenparents, outlength, invocation_index, err_code) = args
        atomicAdd_toptr = cupy.array(toptr, dtype=cupy.uint64)
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_sum_bool_a", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_sum_bool_b", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_sum_bool_c", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
    out["awkward_reduce_sum_bool_a", bool_, uint32, int64] = None
    out["awkward_reduce_sum_bool_b", bool_, uint32, int64] = None
    out["awkward_reduce_sum_bool_c", bool_, uint32, int64] = None
    f.dir = ['out', 'in', 'in', 'in', 'in']
    out['awkward_reduce_sum_bool', bool_, uint32, int64] = f

    def f(grid, block, args):
        (toptr, fromptr, parents, lenparents, outlength, invocation_index, err_code) = args
        atomicAdd_toptr = cupy.array(toptr, dtype=cupy.uint64)
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_sum_bool_a", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_sum_bool_b", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_sum_bool_c", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
    out["awkward_reduce_sum_bool_a", bool_, uint64, int64] = None
    out["awkward_reduce_sum_bool_b", bool_, uint64, int64] = None
    out["awkward_reduce_sum_bool_c", bool_, uint64, int64] = None
    f.dir = ['out', 'in', 'in', 'in', 'in']
    out['awkward_reduce_sum_bool', bool_, uint64, int64] = f

    def f(grid, block, args):
        (toptr, fromptr, parents, lenparents, outlength, invocation_index, err_code) = args
        atomicAdd_toptr = cupy.array(toptr, dtype=cupy.uint64)
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_sum_bool_a", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_sum_bool_b", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_sum_bool_c", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
    out["awkward_reduce_sum_bool_a", bool_, float32, int64] = None
    out["awkward_reduce_sum_bool_b", bool_, float32, int64] = None
    out["awkward_reduce_sum_bool_c", bool_, float32, int64] = None
    f.dir = ['out', 'in', 'in', 'in', 'in']
    out['awkward_reduce_sum_bool', bool_, float32, int64] = f

    def f(grid, block, args):
        (toptr, fromptr, parents, lenparents, outlength, invocation_index, err_code) = args
        atomicAdd_toptr = cupy.array(toptr, dtype=cupy.uint64)
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_sum_bool_a", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_sum_bool_b", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
        cuda_kernel_templates.get_function(fetch_specialization(["awkward_reduce_sum_bool_c", toptr.dtype, fromptr.dtype, parents.dtype]))(grid, block, (toptr, fromptr, parents, lenparents, outlength, atomicAdd_toptr, invocation_index, err_code))
    out["awkward_reduce_sum_bool_a", bool_, float64, int64] = None
    out["awkward_reduce_sum_bool_b", bool_, float64, int64] = None
    out["awkward_reduce_sum_bool_c", bool_, float64, int64] = None
    f.dir = ['out', 'in', 'in', 'in', 'in']
    out['awkward_reduce_sum_bool', bool_, float64, int64] = f

    out['awkward_reduce_sum_bool_complex', bool_, float32, int64] = None

    out['awkward_reduce_sum_bool_complex', bool_, float64, int64] = None

    out['awkward_reduce_sum_int32_bool_64', int32, bool_, int64] = None

    out['awkward_reduce_sum_int64_bool_64', int64, bool_, int64] = None

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_regularize_arrayslice', int64]))(grid, block, args)
    f.dir = ['in', 'in', 'in']
    out['awkward_regularize_arrayslice', int64] = f

    out['awkward_slicearray_ravel', int64, int64, int64, int64] = None

    out['awkward_slicemissing_check_same', bool_, int8, int64] = None

    out['awkward_quick_sort', bool_, int64, int64, int64, int64] = None

    out['awkward_quick_sort', int8, int64, int64, int64, int64] = None

    out['awkward_quick_sort', int16, int64, int64, int64, int64] = None

    out['awkward_quick_sort', int32, int64, int64, int64, int64] = None

    out['awkward_quick_sort', int64, int64, int64, int64, int64] = None

    out['awkward_quick_sort', uint8, int64, int64, int64, int64] = None

    out['awkward_quick_sort', uint16, int64, int64, int64, int64] = None

    out['awkward_quick_sort', uint32, int64, int64, int64, int64] = None

    out['awkward_quick_sort', uint64, int64, int64, int64, int64] = None

    out['awkward_quick_sort', float32, int64, int64, int64, int64] = None

    out['awkward_quick_sort', float64, int64, int64, int64, int64] = None

    out['awkward_sort', bool_, bool_, int64] = None

    out['awkward_sort', int8, int8, int64] = None

    out['awkward_sort', int16, int16, int64] = None

    out['awkward_sort', int32, int32, int64] = None

    out['awkward_sort', int64, int64, int64] = None

    out['awkward_sort', uint8, uint8, int64] = None

    out['awkward_sort', uint16, uint16, int64] = None

    out['awkward_sort', uint32, uint32, int64] = None

    out['awkward_sort', uint64, uint64, int64] = None

    out['awkward_sort', float32, float32, int64] = None

    out['awkward_sort', float64, float64, int64] = None

    out['awkward_sort_ascending', bool_, bool_, int64] = None

    out['awkward_sort_ascending', int8, int8, int64] = None

    out['awkward_sort_ascending', int16, int16, int64] = None

    out['awkward_sort_ascending', int32, int32, int64] = None

    out['awkward_sort_ascending', int64, int64, int64] = None

    out['awkward_sort_ascending', uint8, uint8, int64] = None

    out['awkward_sort_ascending', uint16, uint16, int64] = None

    out['awkward_sort_ascending', uint32, uint32, int64] = None

    out['awkward_sort_ascending', uint64, uint64, int64] = None

    out['awkward_sort_ascending', float32, float32, int64] = None

    out['awkward_sort_ascending', float64, float64, int64] = None

    out['awkward_unique', bool_, int64] = None

    out['awkward_unique', int8, int64] = None

    out['awkward_unique', int16, int64] = None

    out['awkward_unique', int32, int64] = None

    out['awkward_unique', int64, int64] = None

    out['awkward_unique', uint8, int64] = None

    out['awkward_unique', uint16, int64] = None

    out['awkward_unique', uint32, int64] = None

    out['awkward_unique', uint64, int64] = None

    out['awkward_unique', float32, int64] = None

    out['awkward_unique', float64, int64] = None

    out['awkward_unique_copy', bool_, bool_, int64] = None

    out['awkward_unique_copy', int8, int8, int64] = None

    out['awkward_unique_copy', int16, int16, int64] = None

    out['awkward_unique_copy', int32, int32, int64] = None

    out['awkward_unique_copy', int64, int64, int64] = None

    out['awkward_unique_copy', uint8, uint8, int64] = None

    out['awkward_unique_copy', uint16, uint16, int64] = None

    out['awkward_unique_copy', uint32, uint32, int64] = None

    out['awkward_unique_copy', uint64, uint64, int64] = None

    out['awkward_unique_copy', float32, float32, int64] = None

    out['awkward_unique_copy', float64, float64, int64] = None

    out['awkward_unique_offsets', int8, int64, int64] = None

    out['awkward_unique_offsets', int16, int64, int64] = None

    out['awkward_unique_offsets', int32, int64, int64] = None

    out['awkward_unique_offsets', int64, int64, int64] = None

    out['awkward_unique_ranges', bool_, int64, int64] = None

    out['awkward_unique_ranges', int8, int64, int64] = None

    out['awkward_unique_ranges', int16, int64, int64] = None

    out['awkward_unique_ranges', int32, int64, int64] = None

    out['awkward_unique_ranges', int64, int64, int64] = None

    out['awkward_unique_ranges', uint8, int64, int64] = None

    out['awkward_unique_ranges', uint16, int64, int64] = None

    out['awkward_unique_ranges', uint32, int64, int64] = None

    out['awkward_unique_ranges', uint64, int64, int64] = None

    out['awkward_unique_ranges', float32, int64, int64] = None

    out['awkward_unique_ranges', float64, int64, int64] = None

    out['awkward_sorting_ranges', int64, int64] = None

    out['awkward_sorting_ranges_length', int64, int64] = None

    out['awkward_one_mask', int8] = None

    def f(grid, block, args):
        cuda_kernel_templates.get_function(fetch_specialization(['awkward_zero_mask', int8]))(grid, block, args)
    f.dir = ['out', 'in']
    out['awkward_zero_mask', int8] = f

    return out
