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* 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>
48 lines
999 B
C++
Executable File
48 lines
999 B
C++
Executable File
// Copyright (c) OpenMMLab. All rights reserved.
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#include "shape.h"
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#include "../ncnn_ops_definer.h"
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namespace mmdeploy {
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using namespace ncnn;
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DEFINE_LAYER_CREATOR(Shape)
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DEFINE_NCNN_OPS(Shape, Shape)
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Shape::Shape() {
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one_blob_only = true;
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support_inplace = false;
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}
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int Shape::forward(const Mat &bottom_blob, Mat &top_blob, const Option &opt) const {
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int dims = bottom_blob.dims;
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int w = bottom_blob.w;
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size_t elemsize = sizeof(float);
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top_blob.create(dims + 1, elemsize, opt.blob_allocator);
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if (top_blob.empty()) {
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return -100;
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}
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float *outptr = top_blob;
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if (dims == 1) {
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outptr[0] = 1.0f;
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outptr[1] = w;
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return 0;
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}
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if (dims == 2) {
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int h = bottom_blob.h;
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outptr[0] = 1.0f;
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outptr[1] = h;
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outptr[2] = w;
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return 0;
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}
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if (dims == 3) {
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int h = bottom_blob.h;
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int channels = bottom_blob.c;
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outptr[0] = 1.0f;
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outptr[1] = channels;
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outptr[2] = h;
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outptr[3] = w;
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return 0;
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}
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}
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} // namespace mmdeploy
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