wehub-resource-sync
55 lines
2.0 KiB
C++
55 lines
2.0 KiB
C++
/*
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* SPDX-FileCopyrightText: Copyright (c) 1993-2025 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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/*
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**************************************************************************
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* Modified from mmcv (https://github.com/open-mmlab/mmcv/tree/master/mmcv)
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* Copyright (c) OpenMMLab. All Rights Reserved.
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* Licensed under the Apache License, Version 2.0 [see LICENSE for details]
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* https://github.com/open-mmlab/mmcv/blob/master/LICENSE
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**************************************************************************
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*/
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#ifndef TRT_MODULATED_DEFORM_CONV_CUDA_HELPER_H
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#define TRT_MODULATED_DEFORM_CONV_CUDA_HELPER_H
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#include "common/cublasWrapper.h"
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#include <cstdint>
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struct TensorDesc
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{
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int32_t shape[10];
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int32_t stride[10];
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int32_t dim;
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};
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inline int64_t divUp(int64_t m, int32_t n)
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{
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return (m + n - 1) / n;
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}
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template <class TScalar>
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void memcpyPermute(
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TScalar* dst, TScalar const* src, int32_t* src_size, int32_t* permute, int32_t src_dim, cudaStream_t stream = 0);
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template <typename TScalar>
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nvinfer1::pluginInternal::cublasStatus_t cublasGemmWrap(nvinfer1::pluginInternal::cublasHandle_t handle,
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cudaStream_t stream, nvinfer1::pluginInternal::cublasOperation_t transa,
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nvinfer1::pluginInternal::cublasOperation_t transb, int32_t m, int32_t n, int32_t k, TScalar const* alpha,
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TScalar const* A, int32_t lda, TScalar const* B, int32_t ldb, TScalar const* beta, TScalar* C, int32_t ldc);
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#endif // TRT_MODULATED_DEFORM_CONV_CUDA_HELPER_H
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