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https://github.com/NVIDIA/TensorRT-LLM.git
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64 lines
1.7 KiB
C++
64 lines
1.7 KiB
C++
/*
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* Copyright (c) 2022-2024, 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 "tensorrt_llm/common/quantization.h"
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#include <cassert>
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#include <cmath>
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#include <cstdint>
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#include <cuda_bf16.h>
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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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namespace smooth_quant
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{
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struct Params
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{
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int8_t const* act;
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int8_t const* weight;
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float const* scale_tokens;
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float const* scale_channels;
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void* output;
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int m, n, k;
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tensorrt_llm::common::QuantMode quant_mode;
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Params(int8_t const* _act, int8_t const* _weight, float const* _scale_tokens, float const* _scale_channels,
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void* _output, int _m, int _n, int _k, tensorrt_llm::common::QuantMode _quant_mode)
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: act(_act)
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, weight(_weight)
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, scale_tokens(_scale_tokens)
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, scale_channels(_scale_channels)
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, output(_output)
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, m(_m)
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, n(_n)
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, k(_k)
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, quant_mode(_quant_mode)
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{
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}
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};
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template <typename>
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void int8_sq_launcher(Params& params, cudaStream_t s);
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} // namespace smooth_quant
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} // namespace kernels
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} // namespace tensorrt_llm
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