82 lines
2.9 KiB
Plaintext
82 lines
2.9 KiB
Plaintext
/*
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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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#include "common/kernels/kernel.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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template <typename T>
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pluginStatus_t extractFgScores_gpu(cudaStream_t stream, int N, int A, int H, int W, const void* scores, void* fgScores)
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{
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// Copy all the objectness scores for one batch
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size_t size = A * H * W * sizeof(T);
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for (int n = 0; n < N; n++)
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{
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// Find out the starting pointer of the objectness scores in the input
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size_t offset_ld = (n * 2 + 1) * A * H * W;
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// Find out the starting pointer of the objectness scores in the output
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size_t offset_st = n * A * H * W;
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CSC(cudaMemcpyAsync(((T*) fgScores) + offset_st, ((T*) scores) + offset_ld, size, cudaMemcpyDeviceToDevice, stream), STATUS_FAILURE);
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}
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return STATUS_SUCCESS;
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}
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template <typename T>
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pluginStatus_t extractFgScores_cpu(int N,
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int A,
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int H,
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int W,
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const void* scores,
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void* fgScores)
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{
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size_t size = A * H * W * sizeof(T);
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for (int n = 0; n < N; n++)
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{
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size_t offset_ld = (n * 2 + 1) * A * H * W;
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size_t offset_st = n * A * H * W;
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memcpy(((T*) fgScores) + offset_st, ((T*) scores) + offset_ld, size);
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}
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return STATUS_SUCCESS;
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}
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pluginStatus_t extractFgScores(cudaStream_t stream,
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const int N,
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const int A,
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const int H,
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const int W,
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const DataType t_scores,
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const DLayout_t l_scores,
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const void* scores,
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const DataType t_fgScores,
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const DLayout_t l_fgScores,
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void* fgScores)
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{
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if (l_fgScores != NCHW || l_scores != NCHW)
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return STATUS_BAD_PARAM;
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if (t_fgScores != DataType::kFLOAT)
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return STATUS_BAD_PARAM;
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if (t_scores != DataType::kFLOAT)
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return STATUS_BAD_PARAM;
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return extractFgScores_gpu<float>(stream, N, A, H, W, scores, fgScores);
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}
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} // namespace plugin
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} // namespace nvinfer1
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