mmdeploy/backend_ops/ncnn/ops/ncnn_ops_definer.h
q.yao 823ca38646
[Feature] Add NCNN mmdetection support (#49)
* first

* fix0

* fix1

* dirty work

* wip

* add allocator

* finally done!

* lint

* fix lint

* better gather

* better onnx2ncnn

* fix expand

* [Fix] NCNN TensorSlice op bugs (#42)

* fix custom ops support, fix multiple mark bug, add name mapping

* check if the value_info need to be added

* remove unnecessary print

* add nms implement

* two stage split wip

* add two stage split

* add split retinanet visualize

* add two stage split (wip)

* finish two stage split

* fix lint

* move parse string to mmdeploy.utils

* add calib data generator

* create calib dataset

* finish end2end int8

* add split two stage tensorrt visualize

* fix tensorslice bugs

* fix lint

* fix clang-format

* remove comments

* int param

* fix lint

Co-authored-by: grimoire <yaoqian@sensetime.com>

* add two stage ncnn support

* remove unused ops

* git unused config

* remove no_grad, should add in refactor

* add ncnn wrapper

* fix lint

* size return tuple

* Resolve grammar error

* Fix lint

* Trim Trailing Whitespace

* fix trim

* update wrapper

* remove logs

* remove

* csrc optimize

Co-authored-by: hanrui1sensetime <83800577+hanrui1sensetime@users.noreply.github.com>
2021-08-26 18:40:14 +08:00

31 lines
695 B
C++
Executable File

#ifndef NCNN_OPS_DEFINER_H
#define NCNN_OPS_DEFINER_H
#include <string>
#include "layer.h"
#include "ncnn_ops_register.h"
namespace mmlab {
class NCNNOpsDefiner {
public:
NCNNOpsDefiner(const std::string& ops_name,
const ncnn::layer_creator_func& creator_func = 0,
const ncnn::layer_destroyer_func& destroyer_func = 0)
: _ops_name(ops_name) {
get_mm_layer_creator()[_ops_name.c_str()] = creator_func;
}
private:
const std::string _ops_name;
};
#define DEFINE_NCNN_OPS(ops_name, OpsLayer) \
static mmlab::NCNNOpsDefiner NCNNOpsDefiner##ops_name{ \
#ops_name, OpsLayer##_layer_creator};
} // namespace mmlab
#endif