mirror of
https://github.com/PaddlePaddle/FastDeploy.git
synced 2025-10-06 00:57:33 +08:00
d3d914856d
* norm and permute batch processing * move cache to mat, batch processors * get batched tensor logic, resize on cpu logic * fix cpu compile error * remove vector mat api * nits * add comments * nits * fix batch size * move initial resize on cpu option to use_cuda api * fix pybind * processor manager pybind * rename mat and matbatch * move initial resize on cpu to ppcls preprocessor --------- Co-authored-by: Jason <jiangjiajun@baidu.com>
36 lines
1.2 KiB
C++
36 lines
1.2 KiB
C++
// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
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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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#pragma once
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#include "fastdeploy/core/fd_tensor.h"
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#ifdef ENABLE_CVCUDA
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#include "nvcv/Tensor.hpp"
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#include <nvcv/ImageBatch.hpp>
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namespace fastdeploy {
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namespace vision {
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nvcv::ImageFormat CreateCvCudaImageFormat(FDDataType type, int channel);
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nvcv::TensorWrapData CreateCvCudaTensorWrapData(const FDTensor& tensor);
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void* GetCvCudaTensorDataPtr(const nvcv::TensorWrapData& tensor);
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nvcv::ImageWrapData CreateImageWrapData(const FDTensor& tensor);
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void CreateCvCudaImageBatchVarShape(std::vector<FDTensor*>& tensors,
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nvcv::ImageBatchVarShape& img_batch);
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} // namespace vision
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} // namespace fastdeploy
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#endif
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