chore: import upstream snapshot with attribution
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/*
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* SPDX-FileCopyrightText: Copyright (c) 1993-2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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* SPDX-License-Identifier: Apache-2.0
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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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#ifndef TRT_ZERO_PADDING_2D_H
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#define TRT_ZERO_PADDING_2D_H
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#include "NvInferPlugin.h"
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#include <cuda_runtime.h>
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namespace nvinfer1
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{
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namespace plugin
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{
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namespace bert
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{
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struct MhaRunParameter
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{
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nvinfer1::PluginTensorDesc inputDesc[4];
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nvinfer1::PluginTensorDesc outputDesc[1];
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void* inputs[4];
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void* outputs[1];
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};
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class QkvPaddingRunner
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{
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public:
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QkvPaddingRunner(nvinfer1::DataType dtype, int32_t maxPadSize = 64);
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~QkvPaddingRunner() = default;
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int32_t getMaxPaddingHeadSize();
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size_t getWorkspaceSize(int32_t sumSeqLen, int32_t numHeads);
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void* get16BytesAlignedPointer(void* workspace, size_t offset);
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cudaError_t pad(void const* src, void* workspace, int32_t sumSeqLen, int32_t numHeads, int32_t headSize,
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int32_t padHeadSize, cudaStream_t stream);
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cudaError_t unpad(void const* workspace, void* dst, int32_t sumSeqLen, int32_t numHeads, int32_t headSize,
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int32_t padHeadSize, cudaStream_t stream);
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MhaRunParameter patchMhaArgs(nvinfer1::PluginTensorDesc const* inputDesc,
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nvinfer1::PluginTensorDesc const* outputDesc, void const* const* inputs, void* const* outputs,
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void* paddingWorkspace, int32_t sumSeqLen, int32_t numHeads, int32_t padHeadSize);
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private:
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size_t getInputSize(int32_t sumSeqLen, int32_t numHeads);
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size_t getOutputSize(int32_t sumSeqLen, int32_t numHeads);
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int32_t mMaxPaddingHeadSize{};
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int32_t mDtypeSize{};
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};
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} // namespace bert
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} // namespace plugin
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} // namespace nvinfer1
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#endif // TRT_ZERO_PADDING_2D_H
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