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65 lines
2.3 KiB
C++
65 lines
2.3 KiB
C++
/*
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* Adapted from https://github.com/state-spaces/mamba/blob/main/csrc/selective_scan/selective_scan.h
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* Copyright (c) 2023, Tri Dao.
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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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* Not a contribution
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* Changes made by NVIDIA CORPORATION & AFFILIATES or otherwise documented as
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* NVIDIA-proprietary are not a contribution and subject to the following terms and conditions:
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* SPDX-FileCopyrightText: Copyright (c) 2022-2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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* SPDX-License-Identifier: LicenseRef-NvidiaProprietary
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*
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* NVIDIA CORPORATION, its affiliates and licensors retain all intellectual
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* property and proprietary rights in and to this material, related
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* documentation and any modifications thereto. Any use, reproduction,
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* disclosure or distribution of this material and related documentation
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* without an express license agreement from NVIDIA CORPORATION or
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* its affiliates is strictly prohibited.
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*/
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#pragma once
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#include "tensorrt_llm/common/assert.h"
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#include "tensorrt_llm/common/cudaUtils.h"
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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 MambaConv1dParamsBase
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{
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int batch, dim, max_seqlen, dconv;
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bool remove_padding;
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void* __restrict__ in_ptr;
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void* state_in_ptr;
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void* state_out_ptr;
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void* __restrict__ weight_ptr;
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void* __restrict__ bias_ptr;
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void* __restrict__ out_ptr;
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int const* __restrict__ last_token_ids_ptr;
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int const* __restrict__ state_slot_mapping_ptr;
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};
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////////////////////////////////////////////////////////////////////////////////////////////////////
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template <typename input_t>
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void invokeMambaConv1dContext(MambaConv1dParamsBase& params, cudaStream_t stream);
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template <typename input_t>
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void invokeMambaConv1dGeneration(MambaConv1dParamsBase& params, cudaStream_t stream);
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} // namespace kernels
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} // namespace tensorrt_llm
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