mirror of
https://github.com/NVIDIA/TensorRT-LLM.git
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82 lines
1.8 KiB
C++
82 lines
1.8 KiB
C++
/*
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* Copyright (c) 2022-2023, NVIDIA CORPORATION. All rights reserved.
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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#pragma once
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#include <cassert>
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#include <cmath>
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#include <cstdint>
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#include <cuda_fp16.h>
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#include <cuda_runtime.h>
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#include <cuda_runtime_api.h>
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#include <iostream>
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namespace tensorrt_llm
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{
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namespace kernels
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{
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struct WeightOnlyParams
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{
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const uint8_t* qweight;
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const half* scales;
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const half* zeros;
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const half* in;
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const half* bias;
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half* out;
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const int m;
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const int n;
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const int k;
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const int group_size;
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WeightOnlyParams(const uint8_t* _qweight, const half* _scales, const half* _zeros, const half* _in,
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const half* _bias, half* _out, const int _m, const int _n, const int _k, const int _group_size)
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: qweight(_qweight)
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, scales(_scales)
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, zeros(_zeros)
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, in(_in)
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, bias(_bias)
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, out(_out)
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, m(_m)
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, n(_n)
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, k(_k)
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, group_size(_group_size)
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{
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}
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};
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enum class WeightOnlyQuantType
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{
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Int4b,
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Int8b
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};
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enum class WeightOnlyType
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{
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PerChannel,
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GroupWise
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};
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struct WeightOnlyPerChannel;
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template <int GS>
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struct WeightOnlyGroupWise;
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enum class WeightOnlyActivationType
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{
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Gelu,
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Relu,
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Identity,
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InvalidType
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};
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} // namespace kernels
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} // namespace tensorrt_llm
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