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36124f6205
* check in cmake * move backend_ops to csrc/backend_ops * check in preprocess, model, some codebase and their c-apis * check in CMakeLists.txt * check in parts of test_csrc * commit everything else * add readme * update core's BUILD_INTERFACE directory * skip codespell on third_party * update trt_net and ort_net's CMakeLists * ignore clion's build directory * check in pybind11 * add onnx.proto. Remove MMDeploy's dependency on ncnn's source code * export MMDeployTargets only when MMDEPLOY_BUILD_SDK is ON * remove useless message * target include directory is wrong * change target name from mmdeploy_ppl_net to mmdeploy_pplnn_net * skip install directory * update project's cmake * remove useless code * set CMAKE_BUILD_TYPE to Release by force if it isn't set by user * update custom ops CMakeLists * pass object target's source lists * fix lint end-of-file * fix lint: trailing whitespace * fix codespell hook * remove bicubic_interpolate to csrc/backend_ops/ * set MMDEPLOY_BUILD_SDK OFF * change custom ops build command * add spdlog installation command * update docs on how to checkout pybind11 * move bicubic_interpolate to backend_ops/tensorrt directory * remove useless code * correct cmake * fix typo * fix typo * fix install directory * correct sdk's readme * set cub dir when cuda version < 11.0 * change directory where clang-format will apply to * fix build command * add .clang-format * change clang-format style from google to file * reformat csrc/backend_ops * format sdk's code * turn off clang-format for some files * add -Xcompiler=-fno-gnu-unique * fix trt topk initialize * check in config for sdk demo * update cmake script and csrc's readme * correct config's path * add cuda include directory, otherwise compile failed in case of tensorrt8.2 * clang-format onnx2ncnn.cpp Co-authored-by: zhangli <lzhang329@gmail.com> Co-authored-by: grimoire <yaoqian@sensetime.com>
30 lines
767 B
C++
30 lines
767 B
C++
// Copyright (c) OpenMMLab. All rights reserved.
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#include "transform_utils.h"
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namespace mmdeploy {
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Result<Mat> MakeAvailableOnDevice(const Mat& src, const Device& device, Stream& stream) {
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if (src.device() == device) {
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return src;
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}
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Mat dst{src.height(), src.width(), src.pixel_format(), src.type(), device};
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OUTCOME_TRY(stream.Copy(src.buffer(), dst.buffer(), dst.byte_size()));
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return dst;
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}
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Result<Tensor> MakeAvailableOnDevice(const Tensor& src, const Device& device, Stream& stream) {
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if (src.device() == device) {
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return src;
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}
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TensorDesc desc{device, src.data_type(), src.shape(), src.name()};
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Tensor dst(desc);
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OUTCOME_TRY(stream.Copy(src.buffer(), dst.buffer(), src.byte_size()));
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return dst;
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}
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} // namespace mmdeploy
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