mirror of
https://github.com/PaddlePaddle/FastDeploy.git
synced 2025-10-31 20:02:53 +08:00
121 lines
4.8 KiB
C++
121 lines
4.8 KiB
C++
/***************************************************************************************************
|
|
* Copyright (c) 2017 - 2022 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.
|
|
*
|
|
**************************************************************************************************/
|
|
/*! \file
|
|
\brief Templates exposing architecture support for multiply-add operations
|
|
*/
|
|
|
|
#pragma once
|
|
#include "cutlass_extensions/weight_only_quant_op.h"
|
|
|
|
/////////////////////////////////////////////////////////////////////////////////////////////////
|
|
|
|
namespace cutlass
|
|
{
|
|
namespace arch
|
|
{
|
|
|
|
// Tag which triggers MMA which will trigger
|
|
struct OpMultiplyAddDequantizeInterleavedBToA;
|
|
|
|
/*
|
|
Below we have extra tags to signal what kind of dequantization we want to do
|
|
(per col, scale only fine grained, finegrained with zero). This still lets us
|
|
the existing template infrastructure (incl. that in CUTLASS). However, we
|
|
split out the template below into OpMultiplyAddDequantizeInterleavedBToA along
|
|
with the quantization op before instantiating the GEMM pieces.
|
|
|
|
Note that this is somewhat of a hack, but it SIGNIFICANTLY reduces the amount of
|
|
code we need to duplicate.
|
|
*/
|
|
struct OpMultiplyAddDequantizeInterleavedBToA_percol_scale;
|
|
struct OpMultiplyAddDequantizeInterleavedBToA_fine_scale;
|
|
struct OpMultiplyAddDequantizeInterleavedBToA_fine_scalebias;
|
|
|
|
// The default just forwards the original operator
|
|
template <typename MmaOp, WeightOnlyQuantOp QuantOp_>
|
|
struct TagOperator
|
|
{
|
|
using TaggedOperator = MmaOp;
|
|
};
|
|
|
|
// Specializations below attach more information to the operator
|
|
template <>
|
|
struct TagOperator<OpMultiplyAddDequantizeInterleavedBToA, WeightOnlyQuantOp::PER_COLUMN_SCALE_ONLY>
|
|
{
|
|
using TaggedOperator = OpMultiplyAddDequantizeInterleavedBToA_percol_scale;
|
|
};
|
|
|
|
template <>
|
|
struct TagOperator<OpMultiplyAddDequantizeInterleavedBToA, WeightOnlyQuantOp::FINEGRAINED_SCALE_ONLY>
|
|
{
|
|
using TaggedOperator = OpMultiplyAddDequantizeInterleavedBToA_fine_scale;
|
|
};
|
|
|
|
template <>
|
|
struct TagOperator<OpMultiplyAddDequantizeInterleavedBToA, WeightOnlyQuantOp::FINEGRAINED_SCALE_AND_ZEROS>
|
|
{
|
|
using TaggedOperator = OpMultiplyAddDequantizeInterleavedBToA_fine_scalebias;
|
|
};
|
|
|
|
// Here we instantiate some structs to "detag" the tagged operator. It splits it back to the original
|
|
// operator + the extra information. If no extra info was tagged, the dequant op per column scaling
|
|
// as a default.
|
|
template <typename TaggedMmaOp>
|
|
struct DetagOperator
|
|
{
|
|
using Operator = TaggedMmaOp;
|
|
static constexpr WeightOnlyQuantOp QuantOp = WeightOnlyQuantOp::PER_COLUMN_SCALE_ONLY;
|
|
};
|
|
|
|
template <>
|
|
struct DetagOperator<OpMultiplyAddDequantizeInterleavedBToA_percol_scale>
|
|
{
|
|
using Operator = OpMultiplyAddDequantizeInterleavedBToA;
|
|
static constexpr WeightOnlyQuantOp QuantOp = WeightOnlyQuantOp::PER_COLUMN_SCALE_ONLY;
|
|
};
|
|
|
|
template <>
|
|
struct DetagOperator<OpMultiplyAddDequantizeInterleavedBToA_fine_scale>
|
|
{
|
|
using Operator = OpMultiplyAddDequantizeInterleavedBToA;
|
|
static constexpr WeightOnlyQuantOp QuantOp = WeightOnlyQuantOp::FINEGRAINED_SCALE_ONLY;
|
|
};
|
|
|
|
template <>
|
|
struct DetagOperator<OpMultiplyAddDequantizeInterleavedBToA_fine_scalebias>
|
|
{
|
|
using Operator = OpMultiplyAddDequantizeInterleavedBToA;
|
|
static constexpr WeightOnlyQuantOp QuantOp = WeightOnlyQuantOp::FINEGRAINED_SCALE_AND_ZEROS;
|
|
};
|
|
|
|
} // namespace arch
|
|
} // namespace cutlass
|