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https://github.com/NVIDIA/TensorRT-LLM.git
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43 lines
1.5 KiB
C++
43 lines
1.5 KiB
C++
/*
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* Copyright (c) 2022-2025, 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 <cstdint>
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#include <cuda_fp16.h>
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#include <cuda_runtime.h>
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#include <sstream>
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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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template <int HeadSize, int BlockSizeQ, int BlockSizeK, int BlockSizeV, typename T, typename TQuant, typename TSmoothK>
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void sage_quant(
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// host var
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unsigned int batch_size, unsigned int head_num, unsigned int max_seq_len, bool smooth_k, bool is_padded,
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// device input
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void const* q, void const* k, void const* v, int const stride_q, int const stride_k, int const stride_v,
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int const* cu_seqlens_q, int const* cu_seqlens_kv,
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// sizeof(workspace) = batch_size * head_num * head_size * sizeof(TSmoothK)
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void* workspace,
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// device output
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void* quant_q, void* quant_k, void* quant_v, float* scales_q, float* scales_k, float* scales_v,
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cudaStream_t stream);
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} // namespace kernels
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} // namespace tensorrt_llm
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