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https://github.com/open-mmlab/mmdeploy.git
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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>
73 lines
1.8 KiB
C++
73 lines
1.8 KiB
C++
// Copyright (c) OpenMMLab. All rights reserved.
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#include "mat.h"
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namespace mmdeploy {
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Mat::Mat(int h, int w, PixelFormat format, DataType type, Device device, Allocator allocator)
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: format_(format), type_(type), width_(w), height_(h) {
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int bytes_per_pixel = 0;
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switch (format) {
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case PixelFormat::kGRAYSCALE:
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channel_ = 1;
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bytes_per_pixel = 8;
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break;
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case PixelFormat::kNV12: // fall through
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case PixelFormat::kNV21:
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channel_ = 1;
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bytes_per_pixel = 12;
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assert(w % 2 == 0);
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break;
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case PixelFormat::kBGR: // fall through
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case PixelFormat::kRGB:
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channel_ = 3;
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bytes_per_pixel = 24;
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break;
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case PixelFormat::kBGRA:
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channel_ = 4;
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bytes_per_pixel = 32;
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break;
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default:
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throw_exception(eNotSupported);
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}
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size_ = height_ * width_ * channel_;
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bytes_ = height_ * width_ * bytes_per_pixel / 8;
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switch (type) {
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case DataType::kFLOAT:
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bytes_ *= sizeof(float);
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break;
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case DataType::kHALF:
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bytes_ *= 2;
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break;
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case DataType::kINT32:
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bytes_ *= sizeof(int32_t);
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break;
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case DataType::kINT8:
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break;
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default:
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throw_exception(eNotSupported);
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break;
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}
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if (device.platform_id() >= 0 && bytes_ > 0) {
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buf_ = Buffer(device, bytes_, std::move(allocator));
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}
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}
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Mat::Mat(int h, int w, PixelFormat format, DataType type, std::shared_ptr<void> data, Device device)
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: Mat(h, w, format, type, device) {
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buf_ = Buffer(device, bytes_, std::move(data));
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}
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Mat::Mat(int h, int w, PixelFormat format, DataType type, void* data, Device device)
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: Mat(h, w, format, type, device) {
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buf_ = Buffer(device, bytes_, data);
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}
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Device Mat::device() const { return buf_.GetDevice(); }
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Buffer& Mat::buffer() { return buf_; }
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const Buffer& Mat::buffer() const { return buf_; }
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} // namespace mmdeploy
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