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chore: import upstream snapshot with attribution
2026-07-13 13:36:55 +08:00

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/*
* SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#ifndef TRT_DISENTANGLED_ATTENTION_COMMON_H
#define TRT_DISENTANGLED_ATTENTION_COMMON_H
#include "NvInferPlugin.h"
#include <cstdint>
namespace nvinfer1
{
namespace plugin
{
// Version 1: regular relative position index
// Version 2: log bucket relative position index
#define kDISENTANGLED_VERSION 2
#if kDISENTANGLED_VERSION == 1
constexpr int32_t kDISENTANGLED_TILESIZE = 32;
constexpr int32_t kDISENTANGLED_BLOCKDIMY = 8;
#elif kDISENTANGLED_VERSION == 2
constexpr int32_t kDISENTANGLED_TILESIZE = 64;
constexpr int32_t kDISENTANGLED_BLOCKDIMY = 4;
#endif
template <typename TDataType, int32_t tTileSize, int32_t tBlockDimY>
void disentangled_kernel_wrapper(TDataType const* data0, TDataType const* data1, TDataType const* data2,
TDataType* result, dim3 dimData0, dim3 dimData1, dim3 dimData2, dim3 dimResult, TDataType factor, int32_t span,
dim3 block, dim3 grid, cudaStream_t stream);
} // namespace plugin
} // namespace nvinfer1
#endif // TRT_DISENTANGLED_ATTENTION_COMMON_H