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library.py
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#################################################################################################
#
# Copyright (c) 2017 - 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: BSD-3-Clause
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# 1. Redistributions of source code must retain the above copyright notice, this
# list of conditions and the following disclaimer.
#
# 2. Redistributions in binary form must reproduce the above copyright notice,
# this list of conditions and the following disclaimer in the documentation
# and/or other materials provided with the distribution.
#
# 3. Neither the name of the copyright holder nor the names of its
# contributors may be used to endorse or promote products derived from
# this software without specific prior written permission.
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
# AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
# DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
# FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
# DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
# SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
# CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
# OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
#
#################################################################################################
"""
Data types and tags used for emitting CUTLASS C++ kernels
"""
import enum
import re
# The following block implements enum.auto() for Python 3.5 variants that don't include it such
# as the default 3.5.2 on Ubuntu 16.04.
#
# https://codereview.stackexchange.com/questions/177309/reimplementing-pythons-enum-auto-for-compatibility
try:
from enum import auto as enum_auto
except ImportError:
__cutlass_library_auto_enum = 0
def enum_auto() -> int:
global __cutlass_library_auto_enum
i = __cutlass_library_auto_enum
__cutlass_library_auto_enum += 1
return i
###################################################################################################
#
class GeneratorTarget(enum.Enum):
Library = enum_auto()
#
GeneratorTargetNames = {
GeneratorTarget.Library: 'library'
}
#
###################################################################################################
#
class DataType(enum.Enum):
void = enum_auto() # primarily used to disable C tensor for epilogues
b1 = enum_auto()
u2 = enum_auto()
u4 = enum_auto()
u8 = enum_auto()
u16 = enum_auto()
u32 = enum_auto()
u64 = enum_auto()
s2 = enum_auto()
s4 = enum_auto()
s8 = enum_auto()
s16 = enum_auto()
s32 = enum_auto()
s64 = enum_auto()
e4m3 = enum_auto()
e5m2 = enum_auto()
f8 = enum_auto()
f6 = enum_auto()
f4 = enum_auto()
e3m2 = enum_auto()
e2m3 = enum_auto()
e2m1 = enum_auto()
ue8m0 = enum_auto()
ue4m3 = enum_auto()
f16 = enum_auto()
bf16 = enum_auto()
f32 = enum_auto()
tf32 = enum_auto()
f64 = enum_auto()
cf16 = enum_auto()
cbf16 = enum_auto()
cf32 = enum_auto()
ctf32 = enum_auto()
cf64 = enum_auto()
cs2 = enum_auto()
cs4 = enum_auto()
cs8 = enum_auto()
cs16 = enum_auto()
cs32 = enum_auto()
cs64 = enum_auto()
cu2 = enum_auto()
cu4 = enum_auto()
cu8 = enum_auto()
cu16 = enum_auto()
cu32 = enum_auto()
cu64 = enum_auto()
invalid = enum_auto()
#
ShortDataTypeNames = {
DataType.s32: 'i',
DataType.e4m3: 'e4m3',
DataType.e5m2: 'e5m2',
DataType.f16: 'h',
DataType.f32: 's',
DataType.f64: 'd',
DataType.cf32: 'c',
DataType.cf64: 'z',
DataType.f8: 'f8',
DataType.f6: 'f6',
DataType.f4: 'f4',
}
#
DataTypeNames = {
DataType.void: "void",
DataType.b1: "b1",
DataType.u2: "u2",
DataType.u4: "u4",
DataType.u8: "u8",
DataType.u16: "u16",
DataType.u32: "u32",
DataType.u64: "u64",
DataType.s2: "s2",
DataType.s4: "s4",
DataType.s8: "s8",
DataType.s16: "s16",
DataType.s32: "s32",
DataType.s64: "s64",
DataType.e4m3: 'e4m3',
DataType.e5m2: 'e5m2',
DataType.f8: 'f8',
DataType.f6: 'f6',
DataType.f4: 'f4',
DataType.e2m3: 'e2m3',
DataType.e3m2: 'e3m2',
DataType.e2m1: 'e2m1',
DataType.ue8m0: 'ue8m0',
DataType.ue4m3: 'ue4m3',
DataType.f16: "f16",
DataType.bf16: "bf16",
DataType.f32: "f32",
DataType.tf32: "tf32",
DataType.f64: "f64",
DataType.cf16: "cf16",
DataType.cbf16: "cbf16",
DataType.cf32: "cf32",
DataType.ctf32: "ctf32",
DataType.cf64: "cf64",
DataType.cu2: "cu2",
DataType.cu4: "cu4",
DataType.cu8: "cu8",
DataType.cu16: "cu16",
DataType.cu32: "cu32",
DataType.cu64: "cu64",
DataType.cs2: "cs2",
DataType.cs4: "cs4",
DataType.cs8: "cs8",
DataType.cs16: "cs16",
DataType.cs32: "cs32",
DataType.cs64: "cs64",
}
DataTypeTag = {
DataType.void: "void",
DataType.b1: "cutlass::uint1b_t",
DataType.u2: "cutlass::uint2b_t",
DataType.u4: "cutlass::uint4b_t",
DataType.u8: "uint8_t",
DataType.u16: "uint16_t",
DataType.u32: "uint32_t",
DataType.u64: "uint64_t",
DataType.s2: "cutlass::int2b_t",
DataType.s4: "cutlass::int4b_t",
DataType.s8: "int8_t",
DataType.s16: "int16_t",
DataType.s32: "int32_t",
DataType.s64: "int64_t",
DataType.e4m3: 'cutlass::float_e4m3_t',
DataType.e5m2: 'cutlass::float_e5m2_t',
DataType.f8: 'cutlass::type_erased_dynamic_float8_t',
DataType.f6: 'cutlass::type_erased_dynamic_float6_t',
DataType.f4: 'cutlass::type_erased_dynamic_float4_t',
DataType.e2m3: 'cutlass::float_e2m3_t',
DataType.e3m2: 'cutlass::float_e3m2_t',
DataType.e2m1: 'cutlass::float_e2m1_t',
DataType.ue8m0: 'cutlass::float_ue8m0_t',
DataType.ue4m3: 'cutlass::float_ue4m3_t',
DataType.f16: "cutlass::half_t",
DataType.bf16: "cutlass::bfloat16_t",
DataType.f32: "float",
DataType.tf32: "cutlass::tfloat32_t",
DataType.f64: "double",
DataType.cf16: "cutlass::complex<cutlass::half_t>",
DataType.cbf16: "cutlass::complex<cutlass::bfloat16_t>",
DataType.cf32: "cutlass::complex<float>",
DataType.ctf32: "cutlass::complex<cutlass::tfloat32_t>",
DataType.cf64: "cutlass::complex<double>",
DataType.cu2: "cutlass::complex<cutlass::uint2b_t>",
DataType.cu4: "cutlass::complex<cutlass::uint4b_t>",
DataType.cu8: "cutlass::complex<cutlass::uint8_t>",
DataType.cu16: "cutlass::complex<cutlass::uint16_t>",
DataType.cu32: "cutlass::complex<cutlass::uint32_t>",
DataType.cu64: "cutlass::complex<cutlass::uint64_t>",
DataType.cs2: "cutlass::complex<cutlass::int2b_t>",
DataType.cs4: "cutlass::complex<cutlass::int4b_t>",
DataType.cs8: "cutlass::complex<cutlass::int8_t>",
DataType.cs16: "cutlass::complex<cutlass::int16_t>",
DataType.cs32: "cutlass::complex<cutlass::int32_t>",
DataType.cs64: "cutlass::complex<cutlass::int64_t>",
}
DataTypeSize = {
DataType.void: 0,
DataType.b1: 1,
DataType.u2: 2,
DataType.u4: 4,
DataType.u8: 8,
DataType.u16: 16,
DataType.u32: 32,
DataType.u64: 64,
DataType.s2: 2,
DataType.s4: 4,
DataType.s8: 8,
DataType.s16: 16,
DataType.s32: 32,
DataType.s64: 64,
DataType.e4m3: 8,
DataType.e5m2: 8,
DataType.f8: 8,
DataType.f6: 6,
DataType.f4: 4,
DataType.e2m3: 6,
DataType.e3m2: 6,
DataType.e2m1: 4,
DataType.ue8m0: 8,
DataType.ue4m3: 8,
DataType.f16: 16,
DataType.bf16: 16,
DataType.f32: 32,
DataType.tf32: 32,
DataType.f64: 64,
DataType.cf16: 32,
DataType.cbf16: 32,
DataType.cf32: 64,
DataType.ctf32: 32,
DataType.cf64: 128,
DataType.cu2: 4,
DataType.cu4: 8,
DataType.cu8: 16,
DataType.cu16: 32,
DataType.cu32: 64,
DataType.cu64: 128,
DataType.cs2: 4,
DataType.cs4: 8,
DataType.cs8: 16,
DataType.cs16: 32,
DataType.cs32: 64,
DataType.cs64: 128,
}
###################################################################################################
#
class BlasMode(enum.Enum):
symmetric = enum_auto()
hermitian = enum_auto()
#
BlasModeTag = {
BlasMode.symmetric: 'cutlass::BlasMode::kSymmetric',
BlasMode.hermitian: 'cutlass::BlasMode::kHermitian',
}
#
class ComplexTransform(enum.Enum):
none = enum_auto()
conj = enum_auto()
#
ComplexTransformTag = {
ComplexTransform.none: 'cutlass::ComplexTransform::kNone',
ComplexTransform.conj: 'cutlass::ComplexTransform::kConjugate',
}
# Used for cutlass3x complex kernel collective mainloop builder instantiation
ComplexTransformTag3x = {
ComplexTransform.none: 'cute::identity',
ComplexTransform.conj: 'cute::conjugate',
}
#
RealComplexBijection = [
(DataType.f16, DataType.cf16),
(DataType.f32, DataType.cf32),
(DataType.f64, DataType.cf64),
]
#
def is_complex(data_type):
for r, c in RealComplexBijection:
if data_type == c:
return True
return False
def is_block_scaled(gemm_kind):
return gemm_kind in (GemmKind.BlockScaledUniversal3x, GemmKind.GroupedBlockScaledUniversal3x)
def is_grouped(gemm_kind):
return gemm_kind in (GemmKind.GroupedUniversal3x, GemmKind.GroupedBlockScaledUniversal3x)
#
def get_complex_from_real(real_type):
for r, c in RealComplexBijection:
if real_type == r:
return c
return DataType.invalid
#
def get_real_from_complex(complex_type):
for r, c in RealComplexBijection:
if complex_type == c:
return r
return DataType.invalid
#
class ComplexMultiplyOp(enum.Enum):
multiply_add = enum_auto()
gaussian = enum_auto()
###################################################################################################
#
class MathOperation(enum.Enum):
multiply_add = enum_auto()
multiply_add_saturate = enum_auto()
multiply_add_mixed_input_upcast = enum_auto()
xor_popc = enum_auto()
and_popc = enum_auto()
multiply_add_fast_bf16 = enum_auto()
multiply_add_fast_f16 = enum_auto()
multiply_add_fast_f32 = enum_auto()
multiply_add_complex_fast_f32 = enum_auto()
multiply_add_complex = enum_auto()
multiply_add_complex_gaussian = enum_auto()
multiply_add_fast_accum = enum_auto()
#
MathOperationTag = {
MathOperation.multiply_add: 'cutlass::arch::OpMultiplyAdd',
MathOperation.multiply_add_saturate: 'cutlass::arch::OpMultiplyAddSaturate',
MathOperation.multiply_add_mixed_input_upcast: 'cutlass::arch::OpMultiplyAddMixedInputUpcast',
MathOperation.xor_popc: 'cutlass::arch::OpXorPopc',
MathOperation.and_popc: 'cutlass::arch::OpAndPopc',
MathOperation.multiply_add_fast_bf16: 'cutlass::arch::OpMultiplyAddFastBF16',
MathOperation.multiply_add_fast_f16: 'cutlass::arch::OpMultiplyAddFastF16',
MathOperation.multiply_add_fast_f32: 'cutlass::arch::OpMultiplyAddFastF32',
MathOperation.multiply_add_complex_fast_f32: 'cutlass::arch::OpMultiplyAddComplexFastF32',
MathOperation.multiply_add_complex: 'cutlass::arch::OpMultiplyAddComplex',
MathOperation.multiply_add_complex_gaussian: 'cutlass::arch::OpMultiplyAddGaussianComplex',
MathOperation.multiply_add_fast_accum: 'cutlass::arch::OpMultiplyAddFastAccum',
}
###################################################################################################
#
class LayoutType(enum.Enum):
ColumnMajor = enum_auto()
RowMajor = enum_auto()
ColumnMajorInterleaved2 = enum_auto()
RowMajorInterleaved2 = enum_auto()
ColumnMajorInterleaved32 = enum_auto()
RowMajorInterleaved32 = enum_auto()
ColumnMajorInterleaved64 = enum_auto()
RowMajorInterleaved64 = enum_auto()
TensorNWC = enum_auto()
TensorNHWC = enum_auto()
TensorNDHWC = enum_auto()
TensorNCHW = enum_auto()
TensorNGHWC = enum_auto()
TensorNC32HW32 = enum_auto()
TensorNC64HW64 = enum_auto()
TensorC32RSK32 = enum_auto()
TensorC64RSK64 = enum_auto()
TensorKCS = enum_auto()
TensorKCSR = enum_auto()
TensorKCSRT = enum_auto()
#
LayoutTag = {
LayoutType.ColumnMajor: 'cutlass::layout::ColumnMajor',
LayoutType.RowMajor: 'cutlass::layout::RowMajor',
LayoutType.ColumnMajorInterleaved2: 'cutlass::layout::ColumnMajorInterleaved<2>',
LayoutType.RowMajorInterleaved2: 'cutlass::layout::RowMajorInterleaved<2>',
LayoutType.ColumnMajorInterleaved32: 'cutlass::layout::ColumnMajorInterleaved<32>',
LayoutType.RowMajorInterleaved32: 'cutlass::layout::RowMajorInterleaved<32>',
LayoutType.ColumnMajorInterleaved64: 'cutlass::layout::ColumnMajorInterleaved<64>',
LayoutType.RowMajorInterleaved64: 'cutlass::layout::RowMajorInterleaved<64>',
LayoutType.TensorNWC: 'cutlass::layout::TensorNWC',
LayoutType.TensorNHWC: 'cutlass::layout::TensorNHWC',
LayoutType.TensorNDHWC: 'cutlass::layout::TensorNDHWC',
LayoutType.TensorNCHW: 'cutlass::layout::TensorNCHW',
LayoutType.TensorNGHWC: 'cutlass::layout::TensorNGHWC',
LayoutType.TensorNC32HW32: 'cutlass::layout::TensorNCxHWx<32>',
LayoutType.TensorC32RSK32: 'cutlass::layout::TensorCxRSKx<32>',
LayoutType.TensorNC64HW64: 'cutlass::layout::TensorNCxHWx<64>',
LayoutType.TensorC64RSK64: 'cutlass::layout::TensorCxRSKx<64>',
LayoutType.TensorKCS: 'cutlass::layout::TensorKCS',
LayoutType.TensorKCSR: 'cutlass::layout::TensorKCSR',
LayoutType.TensorKCSRT: 'cutlass::layout::TensorKCSRT'
}
#
TransposedLayout = {
LayoutType.ColumnMajor: LayoutType.RowMajor,
LayoutType.RowMajor: LayoutType.ColumnMajor,
LayoutType.ColumnMajorInterleaved2: LayoutType.RowMajorInterleaved2,
LayoutType.RowMajorInterleaved2: LayoutType.ColumnMajorInterleaved2,
LayoutType.ColumnMajorInterleaved32: LayoutType.RowMajorInterleaved32,
LayoutType.RowMajorInterleaved32: LayoutType.ColumnMajorInterleaved32,
LayoutType.ColumnMajorInterleaved64: LayoutType.RowMajorInterleaved64,
LayoutType.RowMajorInterleaved64: LayoutType.ColumnMajorInterleaved64,
LayoutType.TensorNHWC: LayoutType.TensorNHWC
}
#
ShortLayoutTypeNames = {
LayoutType.ColumnMajor: 'n',
LayoutType.ColumnMajorInterleaved2: 'n2',
LayoutType.ColumnMajorInterleaved32: 'n32',
LayoutType.ColumnMajorInterleaved64: 'n64',
LayoutType.RowMajor: 't',
LayoutType.RowMajorInterleaved2: 't2',
LayoutType.RowMajorInterleaved32: 't32',
LayoutType.RowMajorInterleaved64: 't64',
LayoutType.TensorNWC: 'nwc',
LayoutType.TensorNHWC: 'nhwc',
LayoutType.TensorNDHWC: 'ndhwc',
LayoutType.TensorNCHW: 'nchw',
LayoutType.TensorNGHWC: 'nghwc',
LayoutType.TensorNC32HW32: 'nc32hw32',
LayoutType.TensorNC64HW64: 'nc64hw64',
LayoutType.TensorC32RSK32: 'c32rsk32',
LayoutType.TensorC64RSK64: 'c64rsk64',
LayoutType.TensorKCS: 'kcs',
LayoutType.TensorKCSR: 'kcsr',
LayoutType.TensorKCSRT: 'kcsrt'
}
#
ShortComplexLayoutNames = {
(LayoutType.ColumnMajor, ComplexTransform.none): 'n',
(LayoutType.ColumnMajor, ComplexTransform.conj): 'c',
(LayoutType.RowMajor, ComplexTransform.none): 't',
(LayoutType.RowMajor, ComplexTransform.conj): 'h'
}
###################################################################################################
class KernelScheduleType(enum.Enum):
ScheduleAuto = enum_auto()
Multistage = enum_auto()
CpAsyncWarpSpecialized = enum_auto()
CpAsyncWarpSpecializedPingpong = enum_auto()
CpAsyncWarpSpecializedCooperative = enum_auto()
Tma = enum_auto()
TmaWarpSpecialized = enum_auto()
TmaWarpSpecializedPingpong = enum_auto()
TmaWarpSpecializedCooperative = enum_auto()
TmaWarpSpecializedFP8FastAccum = enum_auto()
TmaWarpSpecializedCooperativeFP8FastAccum = enum_auto()
TmaWarpSpecializedPingpongFP8FastAccum = enum_auto()
ImplicitTmaWarpSpecializedSm90 = enum_auto()
PtrArrayTmaWarpSpecializedCooperative = enum_auto()
PtrArrayTmaWarpSpecializedCooperativeFP8FastAccum = enum_auto()
PtrArrayTmaWarpSpecializedPingpong = enum_auto()
PtrArrayTmaWarpSpecializedPingpongFP8FastAccum = enum_auto()
TmaWarpSpecialized1SmSm100 = enum_auto()
TmaWarpSpecialized2SmSm100 = enum_auto()
ImplicitTmaWarpSpecialized1SmSm100 = enum_auto()
ImplicitTmaWarpSpecialized2SmSm100 = enum_auto()
PtrArrayTmaWarpSpecialized1SmSm100 = enum_auto()
PtrArrayTmaWarpSpecialized2SmSm100 = enum_auto()
PtrArrayTmaWarpSpecialized1SmBlockScaledSm100 = enum_auto()
PtrArrayTmaWarpSpecialized2SmBlockScaledSm100 = enum_auto()
PtrArrayNvf4TmaWarpSpecialized1SmSm100 = enum_auto()
PtrArrayNvf4TmaWarpSpecialized2SmSm100 = enum_auto()
PtrArrayMxf4TmaWarpSpecialized1SmSm100 = enum_auto()
PtrArrayMxf4TmaWarpSpecialized2SmSm100 = enum_auto()
PtrArrayMxf8f6f4TmaWarpSpecialized1SmSm100 = enum_auto()
PtrArrayMxf8f6f4TmaWarpSpecialized2SmSm100 = enum_auto()
SparseTmaWarpSpecialized1SmSm100 = enum_auto()
SparseTmaWarpSpecialized2SmSm100 = enum_auto()
BlockScaledTmaWarpSpecialized1SmSm100 = enum_auto()
BlockScaledTmaWarpSpecialized2SmSm100 = enum_auto()
Mxf8f6f4TmaWarpSpecialized1SmSm100 = enum_auto()
Mxf8f6f4TmaWarpSpecialized2SmSm100 = enum_auto()
Mxf4TmaWarpSpecialized1SmSm100 = enum_auto()
Mxf4TmaWarpSpecialized2SmSm100 = enum_auto()
Nvf4TmaWarpSpecialized1SmSm100 = enum_auto()
Nvf4TmaWarpSpecialized2SmSm100 = enum_auto()
Mxf8f6f4TmaWarpSpecializedCooperativeSm120 = enum_auto()
Mxf8f6f4TmaWarpSpecializedPingpongSm120 = enum_auto()
Nvf4TmaWarpSpecializedCooperativeSm120 = enum_auto()
Nvf4TmaWarpSpecializedPingpongSm120 = enum_auto()
Mxf4TmaWarpSpecializedCooperativeSm120 = enum_auto()
Mxf4TmaWarpSpecializedPingpongSm120 = enum_auto()
F8f6f4SparseTmaWarpSpecializedCooperativeSm120 = enum_auto()
KernelScheduleTag = {
KernelScheduleType.ScheduleAuto: 'cutlass::gemm::collective::KernelScheduleAuto',
KernelScheduleType.Multistage: 'cutlass::gemm::KernelMultistage',
KernelScheduleType.CpAsyncWarpSpecialized: 'cutlass::gemm::KernelCpAsyncWarpSpecialized',
KernelScheduleType.CpAsyncWarpSpecializedPingpong: 'cutlass::gemm::KernelCpAsyncWarpSpecializedPingpong',
KernelScheduleType.CpAsyncWarpSpecializedCooperative: 'cutlass::gemm::KernelCpAsyncWarpSpecializedCooperative',
KernelScheduleType.Tma: 'cutlass::gemm::KernelTma',
KernelScheduleType.TmaWarpSpecialized: 'cutlass::gemm::KernelTmaWarpSpecialized',
KernelScheduleType.TmaWarpSpecializedPingpong: 'cutlass::gemm::KernelTmaWarpSpecializedPingpong',
KernelScheduleType.TmaWarpSpecializedCooperative: 'cutlass::gemm::KernelTmaWarpSpecializedCooperative',
KernelScheduleType.TmaWarpSpecializedFP8FastAccum: 'cutlass::gemm::KernelTmaWarpSpecializedFP8FastAccum',
KernelScheduleType.TmaWarpSpecializedCooperativeFP8FastAccum: 'cutlass::gemm::KernelTmaWarpSpecializedCooperativeFP8FastAccum',
KernelScheduleType.TmaWarpSpecializedPingpongFP8FastAccum: 'cutlass::gemm::KernelTmaWarpSpecializedPingpongFP8FastAccum',
KernelScheduleType.ImplicitTmaWarpSpecializedSm90: 'cutlass::conv::KernelImplicitTmaWarpSpecializedSm90',
KernelScheduleType.TmaWarpSpecialized1SmSm100: 'cutlass::gemm::KernelTmaWarpSpecialized1SmSm100',
KernelScheduleType.TmaWarpSpecialized2SmSm100: 'cutlass::gemm::KernelTmaWarpSpecialized2SmSm100',
KernelScheduleType.ImplicitTmaWarpSpecialized1SmSm100: 'cutlass::conv::KernelImplicitTmaWarpSpecialized1SmSm100',
KernelScheduleType.ImplicitTmaWarpSpecialized2SmSm100: 'cutlass::conv::KernelImplicitTmaWarpSpecialized2SmSm100',
KernelScheduleType.PtrArrayTmaWarpSpecialized1SmSm100: 'cutlass::gemm::KernelPtrArrayTmaWarpSpecialized1SmSm100',
KernelScheduleType.PtrArrayTmaWarpSpecialized2SmSm100: 'cutlass::gemm::KernelPtrArrayTmaWarpSpecialized2SmSm100',
KernelScheduleType.SparseTmaWarpSpecialized1SmSm100: 'cutlass::gemm::KernelSparseTmaWarpSpecialized1SmSm100',
KernelScheduleType.SparseTmaWarpSpecialized2SmSm100: 'cutlass::gemm::KernelSparseTmaWarpSpecialized2SmSm100',
KernelScheduleType.BlockScaledTmaWarpSpecialized1SmSm100: 'cutlass::gemm::KernelTmaWarpSpecialized1SmBlockScaledSm100',
KernelScheduleType.BlockScaledTmaWarpSpecialized2SmSm100: 'cutlass::gemm::KernelTmaWarpSpecialized2SmBlockScaledSm100',
KernelScheduleType.Mxf8f6f4TmaWarpSpecialized1SmSm100: 'cutlass::gemm::KernelTmaWarpSpecialized1SmMxf8f6f4Sm100',
KernelScheduleType.Mxf8f6f4TmaWarpSpecialized2SmSm100: 'cutlass::gemm::KernelTmaWarpSpecialized2SmMxf8f6f4Sm100',
KernelScheduleType.Mxf4TmaWarpSpecialized1SmSm100: 'cutlass::gemm::KernelTmaWarpSpecialized1SmMxf4Sm100',
KernelScheduleType.Mxf4TmaWarpSpecialized2SmSm100: 'cutlass::gemm::KernelTmaWarpSpecialized2SmMxf4Sm100',
KernelScheduleType.Nvf4TmaWarpSpecialized1SmSm100: 'cutlass::gemm::KernelTmaWarpSpecialized1SmNvf4Sm100',
KernelScheduleType.Nvf4TmaWarpSpecialized2SmSm100: 'cutlass::gemm::KernelTmaWarpSpecialized2SmNvf4Sm100',
KernelScheduleType.PtrArrayTmaWarpSpecializedCooperative: 'cutlass::gemm::KernelPtrArrayTmaWarpSpecializedCooperative',
KernelScheduleType.PtrArrayTmaWarpSpecializedCooperativeFP8FastAccum: 'cutlass::gemm::KernelPtrArrayTmaWarpSpecializedCooperativeFP8FastAccum',
KernelScheduleType.PtrArrayTmaWarpSpecializedPingpong: 'cutlass::gemm::KernelPtrArrayTmaWarpSpecializedPingpong',
KernelScheduleType.PtrArrayTmaWarpSpecializedPingpongFP8FastAccum: 'cutlass::gemm::KernelPtrArrayTmaWarpSpecializedPingpongFP8FastAccum',
KernelScheduleType.PtrArrayTmaWarpSpecialized1SmBlockScaledSm100: "cutlass::gemm::KernelPtrArrayTmaWarpSpecialized1SmBlockScaledSm100",
KernelScheduleType.PtrArrayTmaWarpSpecialized2SmBlockScaledSm100: "cutlass::gemm::KernelPtrArrayTmaWarpSpecialized2SmBlockScaledSm100",
KernelScheduleType.PtrArrayNvf4TmaWarpSpecialized1SmSm100: "cutlass::gemm::KernelPtrArrayTmaWarpSpecialized1SmNvf4Sm100",
KernelScheduleType.PtrArrayNvf4TmaWarpSpecialized2SmSm100: "cutlass::gemm::KernelPtrArrayTmaWarpSpecialized2SmNvf4Sm100",
KernelScheduleType.PtrArrayMxf4TmaWarpSpecialized1SmSm100: "cutlass::gemm::KernelPtrArrayTmaWarpSpecialized1SmMxf4Sm100",
KernelScheduleType.PtrArrayMxf4TmaWarpSpecialized2SmSm100: "cutlass::gemm::KernelPtrArrayTmaWarpSpecialized2SmMxf4Sm100",
KernelScheduleType.PtrArrayMxf8f6f4TmaWarpSpecialized1SmSm100: "cutlass::gemm::KernelPtrArrayTmaWarpSpecialized1SmMxf8f6f4Sm100",
KernelScheduleType.PtrArrayMxf8f6f4TmaWarpSpecialized2SmSm100: "cutlass::gemm::KernelPtrArrayTmaWarpSpecialized2SmMxf8f6f4Sm100",
KernelScheduleType.Mxf8f6f4TmaWarpSpecializedCooperativeSm120: 'cutlass::gemm::KernelTmaWarpSpecializedMxf8f6f4Sm120',
KernelScheduleType.Mxf8f6f4TmaWarpSpecializedPingpongSm120: 'cutlass::gemm::KernelTmaWarpSpecializedPingpongMxf8f6f4Sm120',
KernelScheduleType.Nvf4TmaWarpSpecializedCooperativeSm120: 'cutlass::gemm::KernelTmaWarpSpecializedNvf4Sm120',
KernelScheduleType.Nvf4TmaWarpSpecializedPingpongSm120: 'cutlass::gemm::KernelTmaWarpSpecializedPingpongNvf4Sm120',
KernelScheduleType.Mxf4TmaWarpSpecializedCooperativeSm120: 'cutlass::gemm::KernelTmaWarpSpecializedMxf4Sm120',
KernelScheduleType.Mxf4TmaWarpSpecializedPingpongSm120: 'cutlass::gemm::KernelTmaWarpSpecializedPingpongMxf4Sm120',
KernelScheduleType.F8f6f4SparseTmaWarpSpecializedCooperativeSm120: 'cutlass::gemm::KernelScheduleSparseF8f6f4Sm120'
}
#
KernelScheduleSuffixes = {
KernelScheduleType.ScheduleAuto: '',
KernelScheduleType.Multistage: '_cpasync',
KernelScheduleType.CpAsyncWarpSpecialized: '_cpasync_warpspecialized',
KernelScheduleType.CpAsyncWarpSpecializedPingpong: '_cpasync_warpspecialized_pingpong',
KernelScheduleType.CpAsyncWarpSpecializedCooperative: '_cpasync_warpspecialized_cooperative',
KernelScheduleType.Tma: '_unspecialized',
KernelScheduleType.TmaWarpSpecialized: '_warpspecialized',
KernelScheduleType.TmaWarpSpecializedPingpong: '_warpspecialized_pingpong',
KernelScheduleType.TmaWarpSpecializedCooperative: '_warpspecialized_cooperative',
KernelScheduleType.TmaWarpSpecializedFP8FastAccum: '_warpspecialized_fp8_fastaccum',
KernelScheduleType.TmaWarpSpecializedCooperativeFP8FastAccum: '_warpspecialized_cooperative_fp8_fastaccum',
KernelScheduleType.TmaWarpSpecializedPingpongFP8FastAccum: '_warpspecialized_pingpong_fp8_fastaccum',
KernelScheduleType.ImplicitTmaWarpSpecializedSm90: '_warpspecialized',
KernelScheduleType.TmaWarpSpecialized1SmSm100: '_1sm',
KernelScheduleType.TmaWarpSpecialized2SmSm100: '_2sm',
KernelScheduleType.ImplicitTmaWarpSpecialized1SmSm100: '_1sm',
KernelScheduleType.ImplicitTmaWarpSpecialized2SmSm100: '_2sm',
KernelScheduleType.PtrArrayTmaWarpSpecialized1SmSm100: '_1sm',
KernelScheduleType.PtrArrayTmaWarpSpecialized2SmSm100: '_2sm',
KernelScheduleType.SparseTmaWarpSpecialized1SmSm100: '_1sm',
KernelScheduleType.SparseTmaWarpSpecialized2SmSm100: '_2sm',
KernelScheduleType.BlockScaledTmaWarpSpecialized1SmSm100: '_1sm',
KernelScheduleType.BlockScaledTmaWarpSpecialized2SmSm100: '_2sm',
KernelScheduleType.Mxf8f6f4TmaWarpSpecialized1SmSm100: '_q_1sm',
KernelScheduleType.Mxf8f6f4TmaWarpSpecialized2SmSm100: '_q_2sm',
KernelScheduleType.Mxf4TmaWarpSpecialized1SmSm100: '_o_vs32_1sm',
KernelScheduleType.Mxf4TmaWarpSpecialized2SmSm100: '_o_vs32_2sm',
KernelScheduleType.Nvf4TmaWarpSpecialized1SmSm100: '_o_vs16_1sm',
KernelScheduleType.Nvf4TmaWarpSpecialized2SmSm100: '_o_vs16_2sm',
KernelScheduleType.PtrArrayTmaWarpSpecializedCooperative: '_warpspecialized_cooperative',
KernelScheduleType.PtrArrayTmaWarpSpecializedCooperativeFP8FastAccum: '_warpspecialized_cooperative_fp8_fastaccum',
KernelScheduleType.PtrArrayTmaWarpSpecializedPingpong: '_warpspecialized_pingpong',
KernelScheduleType.PtrArrayTmaWarpSpecializedPingpongFP8FastAccum: '_warpspecialized_pingpong_fp8_fastaccum',
KernelScheduleType.PtrArrayTmaWarpSpecialized1SmBlockScaledSm100: '_1sm',
KernelScheduleType.PtrArrayTmaWarpSpecialized2SmBlockScaledSm100: '_2sm',
KernelScheduleType.PtrArrayNvf4TmaWarpSpecialized1SmSm100: '_o_vs16_1sm',
KernelScheduleType.PtrArrayNvf4TmaWarpSpecialized2SmSm100: '_o_vs16_2sm',
KernelScheduleType.PtrArrayMxf4TmaWarpSpecialized1SmSm100: '_o_vs32_1sm',
KernelScheduleType.PtrArrayMxf4TmaWarpSpecialized2SmSm100: '_o_vs32_2sm',
KernelScheduleType.PtrArrayMxf8f6f4TmaWarpSpecialized1SmSm100: '_o_vs32_1sm',
KernelScheduleType.PtrArrayMxf8f6f4TmaWarpSpecialized2SmSm100: '_o_vs32_2sm',
KernelScheduleType.Mxf8f6f4TmaWarpSpecializedCooperativeSm120: '_cooperative_q',
KernelScheduleType.Mxf8f6f4TmaWarpSpecializedPingpongSm120: '_pingpong_q',
KernelScheduleType.Nvf4TmaWarpSpecializedCooperativeSm120: '_cooperative_o_vs16',
KernelScheduleType.Nvf4TmaWarpSpecializedPingpongSm120: '_pingpong_o_vs16',
KernelScheduleType.Mxf4TmaWarpSpecializedCooperativeSm120: '_cooperative_o_vs32',
KernelScheduleType.Mxf4TmaWarpSpecializedPingpongSm120: '_pingpong_o_vs32',
KernelScheduleType.F8f6f4SparseTmaWarpSpecializedCooperativeSm120: '_q'
}
class EpilogueScheduleType(enum.Enum):
ScheduleAuto = enum_auto()
EpilogueTransposed = enum_auto()
NoSmemWarpSpecialized = enum_auto()
PtrArrayNoSmemWarpSpecialized = enum_auto()
NoSmemWarpSpecialized1Sm = enum_auto()
NoSmemWarpSpecialized2Sm = enum_auto()
PtrArrayNoSmemWarpSpecialized1Sm = enum_auto()
PtrArrayNoSmemWarpSpecialized2Sm = enum_auto()
TmaWarpSpecialized = enum_auto()
TmaWarpSpecializedCooperative = enum_auto()
TmaWarpSpecialized1Sm = enum_auto()
TmaWarpSpecialized2Sm = enum_auto()
PtrArrayTmaWarpSpecialized1Sm = enum_auto()
PtrArrayTmaWarpSpecialized2Sm = enum_auto()
PtrArrayTmaWarpSpecializedPingpong = enum_auto()
PtrArrayTmaWarpSpecializedCooperative = enum_auto()
#
EpilogueScheduleTag = {
EpilogueScheduleType.ScheduleAuto: 'cutlass::epilogue::collective::EpilogueScheduleAuto',
EpilogueScheduleType.EpilogueTransposed: 'cutlass::gemm::EpilogueTransposed',
EpilogueScheduleType.NoSmemWarpSpecialized: 'cutlass::epilogue::NoSmemWarpSpecialized',
EpilogueScheduleType.PtrArrayNoSmemWarpSpecialized: 'cutlass::epilogue::PtrArrayNoSmemWarpSpecialized',
EpilogueScheduleType.NoSmemWarpSpecialized1Sm: 'cutlass::epilogue::NoSmemWarpSpecialized1Sm',
EpilogueScheduleType.NoSmemWarpSpecialized2Sm: 'cutlass::epilogue::NoSmemWarpSpecialized2Sm',
EpilogueScheduleType.PtrArrayNoSmemWarpSpecialized1Sm: 'cutlass::epilogue::PtrArrayNoSmemWarpSpecialized1Sm',
EpilogueScheduleType.PtrArrayNoSmemWarpSpecialized2Sm: 'cutlass::epilogue::PtrArrayNoSmemWarpSpecialized2Sm',
EpilogueScheduleType.TmaWarpSpecialized: 'cutlass::epilogue::TmaWarpSpecialized',
EpilogueScheduleType.TmaWarpSpecializedCooperative: 'cutlass::epilogue::TmaWarpSpecializedCooperative',
EpilogueScheduleType.TmaWarpSpecialized1Sm: 'cutlass::epilogue::TmaWarpSpecialized1Sm',
EpilogueScheduleType.TmaWarpSpecialized2Sm: 'cutlass::epilogue::TmaWarpSpecialized2Sm',
EpilogueScheduleType.PtrArrayTmaWarpSpecialized1Sm: 'cutlass::epilogue::PtrArrayTmaWarpSpecialized1Sm',
EpilogueScheduleType.PtrArrayTmaWarpSpecialized2Sm: 'cutlass::epilogue::PtrArrayTmaWarpSpecialized2Sm',
EpilogueScheduleType.PtrArrayTmaWarpSpecializedCooperative: 'cutlass::epilogue::PtrArrayTmaWarpSpecializedCooperative',
EpilogueScheduleType.PtrArrayTmaWarpSpecializedPingpong: 'cutlass::epilogue::PtrArrayTmaWarpSpecializedPingpong',
}
#
EpilogueScheduleSuffixes = {
EpilogueScheduleType.ScheduleAuto: '',
EpilogueScheduleType.EpilogueTransposed: '',
EpilogueScheduleType.NoSmemWarpSpecialized: '_epi_nosmem',
EpilogueScheduleType.PtrArrayNoSmemWarpSpecialized: '_epi_nosmem',
EpilogueScheduleType.NoSmemWarpSpecialized1Sm: '_epi_nosmem',
EpilogueScheduleType.NoSmemWarpSpecialized2Sm: '_epi_nosmem',
EpilogueScheduleType.PtrArrayNoSmemWarpSpecialized1Sm: '_epi_nosmem',
EpilogueScheduleType.PtrArrayNoSmemWarpSpecialized2Sm: '_epi_nosmem',
EpilogueScheduleType.TmaWarpSpecialized: '_epi_tma',
EpilogueScheduleType.TmaWarpSpecializedCooperative: '_epi_tma',
EpilogueScheduleType.TmaWarpSpecialized1Sm: '',
EpilogueScheduleType.TmaWarpSpecialized2Sm: '_epi_tma',
EpilogueScheduleType.PtrArrayTmaWarpSpecialized1Sm: '_tma_1sm',
EpilogueScheduleType.PtrArrayTmaWarpSpecialized2Sm: '_tma_2sm',
EpilogueScheduleType.PtrArrayTmaWarpSpecializedCooperative: '_epi_tma',
EpilogueScheduleType.PtrArrayTmaWarpSpecializedPingpong: '_epi_tma',
}
class EpilogueFunctor3x(enum.Enum):
LinearCombination = enum_auto()
LinearCombinationBlockScaleFactor = enum_auto()
#
EpilogueFunctor3xTag = {
EpilogueFunctor3x.LinearCombination: 'cutlass::epilogue::fusion::LinearCombination',
EpilogueFunctor3x.LinearCombinationBlockScaleFactor: 'cutlass::epilogue::fusion::LinCombBlockScaleFactor',
}
def to_grouped_schedule(schedule, grouped):
if not grouped:
return schedule
group_schedule_map = {
# SM90
KernelScheduleType.TmaWarpSpecializedCooperative : KernelScheduleType.PtrArrayTmaWarpSpecializedCooperative,
KernelScheduleType.TmaWarpSpecializedPingpong : KernelScheduleType.PtrArrayTmaWarpSpecializedPingpong,
KernelScheduleType.TmaWarpSpecializedCooperativeFP8FastAccum : KernelScheduleType.PtrArrayTmaWarpSpecializedCooperativeFP8FastAccum,
KernelScheduleType.TmaWarpSpecializedPingpongFP8FastAccum : KernelScheduleType.PtrArrayTmaWarpSpecializedPingpongFP8FastAccum,
EpilogueScheduleType.TmaWarpSpecialized : EpilogueScheduleType.PtrArrayTmaWarpSpecializedPingpong,
EpilogueScheduleType.TmaWarpSpecializedCooperative : EpilogueScheduleType.PtrArrayTmaWarpSpecializedCooperative,
EpilogueScheduleType.NoSmemWarpSpecialized : EpilogueScheduleType.PtrArrayNoSmemWarpSpecialized,
# SM100
KernelScheduleType.Nvf4TmaWarpSpecialized1SmSm100 : KernelScheduleType.PtrArrayNvf4TmaWarpSpecialized1SmSm100,
KernelScheduleType.Nvf4TmaWarpSpecialized2SmSm100 : KernelScheduleType.PtrArrayNvf4TmaWarpSpecialized2SmSm100,
KernelScheduleType.Mxf4TmaWarpSpecialized1SmSm100 : KernelScheduleType.PtrArrayMxf4TmaWarpSpecialized1SmSm100,
KernelScheduleType.Mxf4TmaWarpSpecialized2SmSm100 : KernelScheduleType.PtrArrayMxf4TmaWarpSpecialized2SmSm100,
KernelScheduleType.Mxf8f6f4TmaWarpSpecialized1SmSm100 : KernelScheduleType.PtrArrayMxf8f6f4TmaWarpSpecialized1SmSm100,
KernelScheduleType.Mxf8f6f4TmaWarpSpecialized2SmSm100 : KernelScheduleType.PtrArrayMxf8f6f4TmaWarpSpecialized2SmSm100,
EpilogueScheduleType.TmaWarpSpecialized1Sm: EpilogueScheduleType.PtrArrayTmaWarpSpecialized1Sm,
EpilogueScheduleType.TmaWarpSpecialized2Sm: EpilogueScheduleType.PtrArrayTmaWarpSpecialized2Sm,
}
return group_schedule_map[schedule]
class TileSchedulerType(enum.Enum):
Default = enum_auto()
Persistent = enum_auto()
StreamK = enum_auto()
#
TileSchedulerTag = {
TileSchedulerType.Default: 'void',
TileSchedulerType.Persistent: 'cutlass::gemm::PersistentScheduler',
TileSchedulerType.StreamK: 'cutlass::gemm::StreamKScheduler',
}
#
TileSchedulerSuffixes = {
TileSchedulerType.Default: '',
TileSchedulerType.Persistent: '',
TileSchedulerType.StreamK: '_stream_k',
}
###################################################################################################
#
class SideMode(enum.Enum):
Left = enum_auto()
Right = enum_auto()
#
SideModeTag = {
SideMode.Left: 'cutlass::SideMode::kLeft',
SideMode.Right: 'cutlass::SideMode::kRight'
}
#
ShortSideModeNames = {
SideMode.Left: 'ls',
SideMode.Right: 'rs'
}
###################################################################################################
#
class FillMode(enum.Enum):
Lower = enum_auto()
Upper = enum_auto()
#
FillModeTag = {
FillMode.Lower: 'cutlass::FillMode::kLower',
FillMode.Upper: 'cutlass::FillMode::kUpper'
}
#
ShortFillModeNames = {
FillMode.Lower: 'l',
FillMode.Upper: 'u'
}
###################################################################################################
#
class DiagType(enum.Enum):
NonUnit = enum_auto()
Unit = enum_auto()
#
DiagTypeTag = {
DiagType.NonUnit: 'cutlass::DiagType::kNonUnit',
DiagType.Unit: 'cutlass::DiagType::kUnit'
}
#
ShortDiagTypeNames = {
DiagType.NonUnit: 'nu',
DiagType.Unit: 'un'
}
###################################################################################################
#
class OpcodeClass(enum.Enum):
Simt = enum_auto()
TensorOp = enum_auto()
WmmaTensorOp = enum_auto()
SparseTensorOp = enum_auto()
BlockScaledTensorOp = enum_auto()
OpcodeClassNames = {
OpcodeClass.Simt: 'simt',
OpcodeClass.TensorOp: 'tensorop',
OpcodeClass.WmmaTensorOp: 'wmma_tensorop',
OpcodeClass.SparseTensorOp: 'sptensorop',
OpcodeClass.BlockScaledTensorOp: 'bstensorop'
}
OpcodeClassTag = {
OpcodeClass.Simt: 'cutlass::arch::OpClassSimt',
OpcodeClass.TensorOp: 'cutlass::arch::OpClassTensorOp',
OpcodeClass.WmmaTensorOp: 'cutlass::arch::OpClassWmmaTensorOp',
OpcodeClass.SparseTensorOp: 'cutlass::arch::OpClassSparseTensorOp',
OpcodeClass.BlockScaledTensorOp: 'cutlass::arch::OpClassBlockScaledTensorOp'
}
###################################################################################################
#
class OperationKind(enum.Enum):
Gemm = enum_auto()
RankK = enum_auto()
Rank2K = enum_auto()
Trmm = enum_auto()
Symm = enum_auto()
Conv2d = enum_auto()
Conv3d = enum_auto()
#
OperationKindNames = {
OperationKind.Gemm: 'gemm'
, OperationKind.RankK: 'rank_k'
, OperationKind.Rank2K: 'rank_2k'
, OperationKind.Trmm: 'trmm'
, OperationKind.Symm: 'symm'
, OperationKind.Conv2d: 'conv2d'
, OperationKind.Conv3d: 'conv3d'
}
#
class Target(enum.Enum):
library = enum_auto()
#
ArchitectureNames = {
50: 'maxwell',
60: 'pascal',
61: 'pascal',
70: 'volta',
75: 'turing',
80: 'ampere',
89: 'ada',
90: 'hopper'
}
#
SharedMemPerCC = {
70: 96, # 96KB of SMEM
72: 96, # 96KB of SMEM
75: 64, # 64KB of SMEM
80: 163, # 163KB of SMEM - 1KB reserved for the driver
86: 99, # 99KB of SMEM - 1KB reserved for the driver
87: 163, # 163KB of SMEM - 1KB reserved for the driver
89: 99, # 99KB of SMEM - 1KB reserved for the driver
90: 227, # 227KB of SMEM - 1KB reserved for the driver
}
###################################################################################################
#
def SubstituteTemplate(template, values):
text = template
changed = True
while changed:
changed = False
for key, value in values.items():
regex = "\\$\\{%s\\}" % key
newtext = re.sub(regex, value, text)
if newtext != text:
changed = True
text = newtext
return text
###################################################################################################
#
class GemmKind(enum.Enum):
Gemm = enum_auto()
Sparse = enum_auto()
Universal = enum_auto()
Universal3x = enum_auto()
SparseUniversal3x = enum_auto()
PlanarComplex = enum_auto()
PlanarComplexArray = enum_auto()
Grouped = enum_auto()
BlockScaledUniversal3x = enum_auto()
GroupedUniversal3x = enum_auto()
GroupedBlockScaledUniversal3x = enum_auto()
#
GemmKindNames = {
GemmKind.Gemm: "gemm",
GemmKind.Sparse: "spgemm",
GemmKind.Universal: "gemm",
GemmKind.Universal3x: "gemm",
GemmKind.SparseUniversal3x: "spgemm",
GemmKind.PlanarComplex: "gemm_planar_complex",
GemmKind.PlanarComplexArray: "gemm_planar_complex_array",
GemmKind.Grouped: "gemm_grouped",
GemmKind.BlockScaledUniversal3x: "gemm",
GemmKind.GroupedUniversal3x: "gemm_grouped",
GemmKind.GroupedBlockScaledUniversal3x: "gemm_grouped"
}
#
class RankKKind(enum.Enum):
Universal = enum_auto()
#
RankKKindNames = {
RankKKind.Universal: "rank_k"
}
#
class TrmmKind(enum.Enum):
Universal = enum_auto()
#
TrmmKindNames = {
TrmmKind.Universal: "trmm"
}
#
class SymmKind(enum.Enum):
Universal = enum_auto()
#
SymmKindNames = {
SymmKind.Universal: "symm"
}
#
class EpilogueFunctor(enum.Enum):
LinearCombination = enum_auto()
LinearCombinationClamp = enum_auto()
#
EpilogueFunctorTag = {
EpilogueFunctor.LinearCombination: 'cutlass::epilogue::thread::LinearCombination',
EpilogueFunctor.LinearCombinationClamp: 'cutlass::epilogue::thread::LinearCombinationClamp',
}
#
class MixedInputMode(enum.Enum):
ConvertOnly = enum_auto()
ScaleOnly = enum_auto()
ScaleWithZeroPoint = enum_auto()
#
class SwizzlingFunctor(enum.Enum):
Identity1 = enum_auto()
Identity2 = enum_auto()
Identity4 = enum_auto()
Identity8 = enum_auto()