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#include "topk.h"
#include <math.h>
#include <functional>
#include "../ncnn_ops_definer.h"
namespace mmlab {
using namespace ncnn;
DEFINE_LAYER_CREATOR(TopK)
DEFINE_NCNN_OPS(TopK, TopK)
TopK::TopK() {
one_blob_only = false;
support_inplace = false;
}
int TopK::load_param(const ParamDict& pd) {
axis = pd.get(0, -1);
largest = pd.get(1, 1);
sorted = pd.get(2, 1);
[Feature] Add NCNN on MMSegmentation (#55) * 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 * first * fix0 * fix1 * dirty work * wip * add allocator * finally done! * lint * fix lint * better gather * better onnx2ncnn * fix tensorslice bugs * fix lint * fix clang-format * remove comments * fix expand * int param * fix lint * [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 * add argmax to topk * add ArgMax parse * add ncnn mmseg deploy cfg * utils add ncnn mmseg * add ncnn * fix lint * fix yapf * fix clang-format-9 * remove debugging code Co-authored-by: grimoire <yaoqian@sensetime.com> Co-authored-by: grimoire <streetyao@live.com> Co-authored-by: maningsheng <mnsheng@yeah.net>
2021-09-03 15:19:54 +08:00
keep_dims = pd.get(3, 1);
return 0;
}
int TopK::forward(const std::vector<Mat>& bottom_blobs,
std::vector<Mat>& top_blobs, const Option& opt) const {
int dims = bottom_blobs[0].dims;
int positive_axis = axis < 0 ? dims + axis : axis;
[Feature] Add NCNN on MMSegmentation (#55) * 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 * first * fix0 * fix1 * dirty work * wip * add allocator * finally done! * lint * fix lint * better gather * better onnx2ncnn * fix tensorslice bugs * fix lint * fix clang-format * remove comments * fix expand * int param * fix lint * [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 * add argmax to topk * add ArgMax parse * add ncnn mmseg deploy cfg * utils add ncnn mmseg * add ncnn * fix lint * fix yapf * fix clang-format-9 * remove debugging code Co-authored-by: grimoire <yaoqian@sensetime.com> Co-authored-by: grimoire <streetyao@live.com> Co-authored-by: maningsheng <mnsheng@yeah.net>
2021-09-03 15:19:54 +08:00
int topk;
if (bottom_blobs.size() == 2) {
const Mat& topk_blob = bottom_blobs[1];
topk = (int)(topk_blob[0] + 0.5);
} else if (bottom_blobs.size() == 1) {
topk = 1;
} else {
fprintf(stderr, "topk input blobs should be 1 or 2, but not %d\n",
bottom_blobs.size());
return -103;
}
// To do: Cut the top_val_blob after unit test. And we should change them in
// param files.
Mat& top_val_blob = top_blobs[0];
[Feature] Add NCNN on MMSegmentation (#55) * 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 * first * fix0 * fix1 * dirty work * wip * add allocator * finally done! * lint * fix lint * better gather * better onnx2ncnn * fix tensorslice bugs * fix lint * fix clang-format * remove comments * fix expand * int param * fix lint * [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 * add argmax to topk * add ArgMax parse * add ncnn mmseg deploy cfg * utils add ncnn mmseg * add ncnn * fix lint * fix yapf * fix clang-format-9 * remove debugging code Co-authored-by: grimoire <yaoqian@sensetime.com> Co-authored-by: grimoire <streetyao@live.com> Co-authored-by: maningsheng <mnsheng@yeah.net>
2021-09-03 15:19:54 +08:00
Mat& top_ind_blob = top_val_blob; // fill the reference
if (top_blobs.size() == 2) top_ind_blob = top_blobs[1];
if (topk > 1) {
// real topk
if (keep_dims == 0) {
fprintf(stderr, "real topk should not reduce dims!\n");
return -102;
}
[Feature] Add NCNN on MMSegmentation (#55) * 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 * first * fix0 * fix1 * dirty work * wip * add allocator * finally done! * lint * fix lint * better gather * better onnx2ncnn * fix tensorslice bugs * fix lint * fix clang-format * remove comments * fix expand * int param * fix lint * [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 * add argmax to topk * add ArgMax parse * add ncnn mmseg deploy cfg * utils add ncnn mmseg * add ncnn * fix lint * fix yapf * fix clang-format-9 * remove debugging code Co-authored-by: grimoire <yaoqian@sensetime.com> Co-authored-by: grimoire <streetyao@live.com> Co-authored-by: maningsheng <mnsheng@yeah.net>
2021-09-03 15:19:54 +08:00
if (dims == 1 && positive_axis == 0) {
if (topk > bottom_blobs[0].w) {
fprintf(stderr, "topk should not greater than total items!\n");
return -100;
}
[Feature] Add NCNN on MMSegmentation (#55) * 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 * first * fix0 * fix1 * dirty work * wip * add allocator * finally done! * lint * fix lint * better gather * better onnx2ncnn * fix tensorslice bugs * fix lint * fix clang-format * remove comments * fix expand * int param * fix lint * [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 * add argmax to topk * add ArgMax parse * add ncnn mmseg deploy cfg * utils add ncnn mmseg * add ncnn * fix lint * fix yapf * fix clang-format-9 * remove debugging code Co-authored-by: grimoire <yaoqian@sensetime.com> Co-authored-by: grimoire <streetyao@live.com> Co-authored-by: maningsheng <mnsheng@yeah.net>
2021-09-03 15:19:54 +08:00
top_val_blob.create(topk, 4u, opt.blob_allocator);
if (top_val_blob.empty()) return -100;
[Feature] Add NCNN on MMSegmentation (#55) * 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 * first * fix0 * fix1 * dirty work * wip * add allocator * finally done! * lint * fix lint * better gather * better onnx2ncnn * fix tensorslice bugs * fix lint * fix clang-format * remove comments * fix expand * int param * fix lint * [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 * add argmax to topk * add ArgMax parse * add ncnn mmseg deploy cfg * utils add ncnn mmseg * add ncnn * fix lint * fix yapf * fix clang-format-9 * remove debugging code Co-authored-by: grimoire <yaoqian@sensetime.com> Co-authored-by: grimoire <streetyao@live.com> Co-authored-by: maningsheng <mnsheng@yeah.net>
2021-09-03 15:19:54 +08:00
top_ind_blob.create(topk, 4u, opt.blob_allocator);
if (top_ind_blob.empty()) return -100;
[Feature] Add NCNN on MMSegmentation (#55) * 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 * first * fix0 * fix1 * dirty work * wip * add allocator * finally done! * lint * fix lint * better gather * better onnx2ncnn * fix tensorslice bugs * fix lint * fix clang-format * remove comments * fix expand * int param * fix lint * [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 * add argmax to topk * add ArgMax parse * add ncnn mmseg deploy cfg * utils add ncnn mmseg * add ncnn * fix lint * fix yapf * fix clang-format-9 * remove debugging code Co-authored-by: grimoire <yaoqian@sensetime.com> Co-authored-by: grimoire <streetyao@live.com> Co-authored-by: maningsheng <mnsheng@yeah.net>
2021-09-03 15:19:54 +08:00
const float* ptr = bottom_blobs[0];
std::vector<std::pair<float, int> > vec;
vec.resize(bottom_blobs[0].w);
if (largest == 1) {
for (int i = 0; i < bottom_blobs[0].w; i++) {
[Feature] Add NCNN on MMSegmentation (#55) * 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 * first * fix0 * fix1 * dirty work * wip * add allocator * finally done! * lint * fix lint * better gather * better onnx2ncnn * fix tensorslice bugs * fix lint * fix clang-format * remove comments * fix expand * int param * fix lint * [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 * add argmax to topk * add ArgMax parse * add ncnn mmseg deploy cfg * utils add ncnn mmseg * add ncnn * fix lint * fix yapf * fix clang-format-9 * remove debugging code Co-authored-by: grimoire <yaoqian@sensetime.com> Co-authored-by: grimoire <streetyao@live.com> Co-authored-by: maningsheng <mnsheng@yeah.net>
2021-09-03 15:19:54 +08:00
vec[i] = std::make_pair(ptr[i], -i);
}
std::partial_sort(vec.begin(), vec.begin() + topk, vec.end(),
std::greater<std::pair<float, int> >());
} else if (largest == 0) {
for (int i = 0; i < bottom_blobs[0].w; i++) {
[Feature] Add NCNN on MMSegmentation (#55) * 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 * first * fix0 * fix1 * dirty work * wip * add allocator * finally done! * lint * fix lint * better gather * better onnx2ncnn * fix tensorslice bugs * fix lint * fix clang-format * remove comments * fix expand * int param * fix lint * [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 * add argmax to topk * add ArgMax parse * add ncnn mmseg deploy cfg * utils add ncnn mmseg * add ncnn * fix lint * fix yapf * fix clang-format-9 * remove debugging code Co-authored-by: grimoire <yaoqian@sensetime.com> Co-authored-by: grimoire <streetyao@live.com> Co-authored-by: maningsheng <mnsheng@yeah.net>
2021-09-03 15:19:54 +08:00
vec[i] = std::make_pair(ptr[i], i);
}
std::partial_sort(vec.begin(), vec.begin() + topk, vec.end(),
std::less<std::pair<float, int> >());
} else {
fprintf(stderr, "largest attribute should be 0 or 1, but not %d\n",
largest);
return -100;
}
[Feature] Add NCNN on MMSegmentation (#55) * 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 * first * fix0 * fix1 * dirty work * wip * add allocator * finally done! * lint * fix lint * better gather * better onnx2ncnn * fix tensorslice bugs * fix lint * fix clang-format * remove comments * fix expand * int param * fix lint * [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 * add argmax to topk * add ArgMax parse * add ncnn mmseg deploy cfg * utils add ncnn mmseg * add ncnn * fix lint * fix yapf * fix clang-format-9 * remove debugging code Co-authored-by: grimoire <yaoqian@sensetime.com> Co-authored-by: grimoire <streetyao@live.com> Co-authored-by: maningsheng <mnsheng@yeah.net>
2021-09-03 15:19:54 +08:00
float* valptr = top_val_blob;
float* indptr = top_ind_blob;
if (sorted == 1) {
for (int i = 0; i < topk; i++) {
[Feature] Add NCNN on MMSegmentation (#55) * 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 * first * fix0 * fix1 * dirty work * wip * add allocator * finally done! * lint * fix lint * better gather * better onnx2ncnn * fix tensorslice bugs * fix lint * fix clang-format * remove comments * fix expand * int param * fix lint * [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 * add argmax to topk * add ArgMax parse * add ncnn mmseg deploy cfg * utils add ncnn mmseg * add ncnn * fix lint * fix yapf * fix clang-format-9 * remove debugging code Co-authored-by: grimoire <yaoqian@sensetime.com> Co-authored-by: grimoire <streetyao@live.com> Co-authored-by: maningsheng <mnsheng@yeah.net>
2021-09-03 15:19:54 +08:00
valptr[i] = vec[i].first;
indptr[i] = abs(vec[i].second);
}
} else if (sorted == 0) {
int cur = 0;
float valtarget = vec[topk - 1].first;
int indtarget = (int)(abs(vec[topk - 1].second) + 0.5);
[Feature] Add NCNN on MMSegmentation (#55) * 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 * first * fix0 * fix1 * dirty work * wip * add allocator * finally done! * lint * fix lint * better gather * better onnx2ncnn * fix tensorslice bugs * fix lint * fix clang-format * remove comments * fix expand * int param * fix lint * [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 * add argmax to topk * add ArgMax parse * add ncnn mmseg deploy cfg * utils add ncnn mmseg * add ncnn * fix lint * fix yapf * fix clang-format-9 * remove debugging code Co-authored-by: grimoire <yaoqian@sensetime.com> Co-authored-by: grimoire <streetyao@live.com> Co-authored-by: maningsheng <mnsheng@yeah.net>
2021-09-03 15:19:54 +08:00
// pair comparison
if (largest == 1) {
for (int i = 0; i < bottom_blobs[0].w; i++) {
if (cur >= topk) break;
[Feature] Add NCNN on MMSegmentation (#55) * 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 * first * fix0 * fix1 * dirty work * wip * add allocator * finally done! * lint * fix lint * better gather * better onnx2ncnn * fix tensorslice bugs * fix lint * fix clang-format * remove comments * fix expand * int param * fix lint * [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 * add argmax to topk * add ArgMax parse * add ncnn mmseg deploy cfg * utils add ncnn mmseg * add ncnn * fix lint * fix yapf * fix clang-format-9 * remove debugging code Co-authored-by: grimoire <yaoqian@sensetime.com> Co-authored-by: grimoire <streetyao@live.com> Co-authored-by: maningsheng <mnsheng@yeah.net>
2021-09-03 15:19:54 +08:00
if (bottom_blobs[0][i] > valtarget) {
valptr[cur] = bottom_blobs[0][i];
indptr[cur] = i;
cur++;
[Feature] Add NCNN on MMSegmentation (#55) * 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 * first * fix0 * fix1 * dirty work * wip * add allocator * finally done! * lint * fix lint * better gather * better onnx2ncnn * fix tensorslice bugs * fix lint * fix clang-format * remove comments * fix expand * int param * fix lint * [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 * add argmax to topk * add ArgMax parse * add ncnn mmseg deploy cfg * utils add ncnn mmseg * add ncnn * fix lint * fix yapf * fix clang-format-9 * remove debugging code Co-authored-by: grimoire <yaoqian@sensetime.com> Co-authored-by: grimoire <streetyao@live.com> Co-authored-by: maningsheng <mnsheng@yeah.net>
2021-09-03 15:19:54 +08:00
} else if (bottom_blobs[0][i] == valtarget && i <= indtarget) {
valptr[cur] = bottom_blobs[0][i];
indptr[cur] = i;
cur++;
}
}
} else {
for (int i = 0; i < bottom_blobs[0].w; i++) {
if (cur >= topk) break;
[Feature] Add NCNN on MMSegmentation (#55) * 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 * first * fix0 * fix1 * dirty work * wip * add allocator * finally done! * lint * fix lint * better gather * better onnx2ncnn * fix tensorslice bugs * fix lint * fix clang-format * remove comments * fix expand * int param * fix lint * [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 * add argmax to topk * add ArgMax parse * add ncnn mmseg deploy cfg * utils add ncnn mmseg * add ncnn * fix lint * fix yapf * fix clang-format-9 * remove debugging code Co-authored-by: grimoire <yaoqian@sensetime.com> Co-authored-by: grimoire <streetyao@live.com> Co-authored-by: maningsheng <mnsheng@yeah.net>
2021-09-03 15:19:54 +08:00
if (bottom_blobs[0][i] < valtarget) {
valptr[cur] = bottom_blobs[0][i];
indptr[cur] = i;
cur++;
[Feature] Add NCNN on MMSegmentation (#55) * 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 * first * fix0 * fix1 * dirty work * wip * add allocator * finally done! * lint * fix lint * better gather * better onnx2ncnn * fix tensorslice bugs * fix lint * fix clang-format * remove comments * fix expand * int param * fix lint * [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 * add argmax to topk * add ArgMax parse * add ncnn mmseg deploy cfg * utils add ncnn mmseg * add ncnn * fix lint * fix yapf * fix clang-format-9 * remove debugging code Co-authored-by: grimoire <yaoqian@sensetime.com> Co-authored-by: grimoire <streetyao@live.com> Co-authored-by: maningsheng <mnsheng@yeah.net>
2021-09-03 15:19:54 +08:00
} else if (bottom_blobs[0][i] == valtarget && i <= indtarget) {
valptr[cur] = bottom_blobs[0][i];
indptr[cur] = i;
cur++;
}
}
}
}
}
[Feature] Add NCNN on MMSegmentation (#55) * 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 * first * fix0 * fix1 * dirty work * wip * add allocator * finally done! * lint * fix lint * better gather * better onnx2ncnn * fix tensorslice bugs * fix lint * fix clang-format * remove comments * fix expand * int param * fix lint * [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 * add argmax to topk * add ArgMax parse * add ncnn mmseg deploy cfg * utils add ncnn mmseg * add ncnn * fix lint * fix yapf * fix clang-format-9 * remove debugging code Co-authored-by: grimoire <yaoqian@sensetime.com> Co-authored-by: grimoire <streetyao@live.com> Co-authored-by: maningsheng <mnsheng@yeah.net>
2021-09-03 15:19:54 +08:00
if (dims == 2 && positive_axis == 0) {
if (topk > bottom_blobs[0].h) {
fprintf(stderr, "topk should not greater than total items!\n");
return -100;
}
top_val_blob.create(bottom_blobs[0].w, topk, 4u, opt.blob_allocator);
if (top_val_blob.empty()) return -100;
[Feature] Add NCNN on MMSegmentation (#55) * 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 * first * fix0 * fix1 * dirty work * wip * add allocator * finally done! * lint * fix lint * better gather * better onnx2ncnn * fix tensorslice bugs * fix lint * fix clang-format * remove comments * fix expand * int param * fix lint * [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 * add argmax to topk * add ArgMax parse * add ncnn mmseg deploy cfg * utils add ncnn mmseg * add ncnn * fix lint * fix yapf * fix clang-format-9 * remove debugging code Co-authored-by: grimoire <yaoqian@sensetime.com> Co-authored-by: grimoire <streetyao@live.com> Co-authored-by: maningsheng <mnsheng@yeah.net>
2021-09-03 15:19:54 +08:00
top_ind_blob.create(bottom_blobs[0].w, topk, 4u, opt.blob_allocator);
if (top_ind_blob.empty()) return -100;
for (int col = 0; col < bottom_blobs[0].w; col++) {
std::vector<std::pair<float, int> > vec;
[Feature] Add NCNN on MMSegmentation (#55) * 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 * first * fix0 * fix1 * dirty work * wip * add allocator * finally done! * lint * fix lint * better gather * better onnx2ncnn * fix tensorslice bugs * fix lint * fix clang-format * remove comments * fix expand * int param * fix lint * [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 * add argmax to topk * add ArgMax parse * add ncnn mmseg deploy cfg * utils add ncnn mmseg * add ncnn * fix lint * fix yapf * fix clang-format-9 * remove debugging code Co-authored-by: grimoire <yaoqian@sensetime.com> Co-authored-by: grimoire <streetyao@live.com> Co-authored-by: maningsheng <mnsheng@yeah.net>
2021-09-03 15:19:54 +08:00
vec.resize(bottom_blobs[0].h);
if (largest == 1) {
[Feature] Add NCNN on MMSegmentation (#55) * 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 * first * fix0 * fix1 * dirty work * wip * add allocator * finally done! * lint * fix lint * better gather * better onnx2ncnn * fix tensorslice bugs * fix lint * fix clang-format * remove comments * fix expand * int param * fix lint * [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 * add argmax to topk * add ArgMax parse * add ncnn mmseg deploy cfg * utils add ncnn mmseg * add ncnn * fix lint * fix yapf * fix clang-format-9 * remove debugging code Co-authored-by: grimoire <yaoqian@sensetime.com> Co-authored-by: grimoire <streetyao@live.com> Co-authored-by: maningsheng <mnsheng@yeah.net>
2021-09-03 15:19:54 +08:00
for (int i = 0; i < bottom_blobs[0].h; i++) {
vec[i] = std::make_pair(bottom_blobs[0].row(i)[col], -i);
}
std::partial_sort(vec.begin(), vec.begin() + topk, vec.end(),
std::greater<std::pair<float, int> >());
} else if (largest == 0) {
[Feature] Add NCNN on MMSegmentation (#55) * 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 * first * fix0 * fix1 * dirty work * wip * add allocator * finally done! * lint * fix lint * better gather * better onnx2ncnn * fix tensorslice bugs * fix lint * fix clang-format * remove comments * fix expand * int param * fix lint * [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 * add argmax to topk * add ArgMax parse * add ncnn mmseg deploy cfg * utils add ncnn mmseg * add ncnn * fix lint * fix yapf * fix clang-format-9 * remove debugging code Co-authored-by: grimoire <yaoqian@sensetime.com> Co-authored-by: grimoire <streetyao@live.com> Co-authored-by: maningsheng <mnsheng@yeah.net>
2021-09-03 15:19:54 +08:00
for (int i = 0; i < bottom_blobs[0].h; i++) {
vec[i] = std::make_pair(bottom_blobs[0].row(i)[col], i);
}
std::partial_sort(vec.begin(), vec.begin() + topk, vec.end(),
std::less<std::pair<float, int> >());
} else {
fprintf(stderr, "largest attribute should be 0 or 1, but not %d\n",
largest);
return -100;
}
if (sorted == 1) {
for (int i = 0; i < topk; i++) {
[Feature] Add NCNN on MMSegmentation (#55) * 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 * first * fix0 * fix1 * dirty work * wip * add allocator * finally done! * lint * fix lint * better gather * better onnx2ncnn * fix tensorslice bugs * fix lint * fix clang-format * remove comments * fix expand * int param * fix lint * [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 * add argmax to topk * add ArgMax parse * add ncnn mmseg deploy cfg * utils add ncnn mmseg * add ncnn * fix lint * fix yapf * fix clang-format-9 * remove debugging code Co-authored-by: grimoire <yaoqian@sensetime.com> Co-authored-by: grimoire <streetyao@live.com> Co-authored-by: maningsheng <mnsheng@yeah.net>
2021-09-03 15:19:54 +08:00
top_val_blob.row(i)[col] = vec[i].first;
top_ind_blob.row(i)[col] = abs(vec[i].second);
}
} else if (sorted == 0) {
int cur = 0;
float valtarget = vec[topk - 1].first;
int indtarget = (int)(abs(vec[topk - 1].second) + 0.5);
if (largest == 1) {
[Feature] Add NCNN on MMSegmentation (#55) * 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 * first * fix0 * fix1 * dirty work * wip * add allocator * finally done! * lint * fix lint * better gather * better onnx2ncnn * fix tensorslice bugs * fix lint * fix clang-format * remove comments * fix expand * int param * fix lint * [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 * add argmax to topk * add ArgMax parse * add ncnn mmseg deploy cfg * utils add ncnn mmseg * add ncnn * fix lint * fix yapf * fix clang-format-9 * remove debugging code Co-authored-by: grimoire <yaoqian@sensetime.com> Co-authored-by: grimoire <streetyao@live.com> Co-authored-by: maningsheng <mnsheng@yeah.net>
2021-09-03 15:19:54 +08:00
for (int i = 0; i < bottom_blobs[0].h; i++) {
if (cur >= topk) break;
[Feature] Add NCNN on MMSegmentation (#55) * 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 * first * fix0 * fix1 * dirty work * wip * add allocator * finally done! * lint * fix lint * better gather * better onnx2ncnn * fix tensorslice bugs * fix lint * fix clang-format * remove comments * fix expand * int param * fix lint * [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 * add argmax to topk * add ArgMax parse * add ncnn mmseg deploy cfg * utils add ncnn mmseg * add ncnn * fix lint * fix yapf * fix clang-format-9 * remove debugging code Co-authored-by: grimoire <yaoqian@sensetime.com> Co-authored-by: grimoire <streetyao@live.com> Co-authored-by: maningsheng <mnsheng@yeah.net>
2021-09-03 15:19:54 +08:00
if (bottom_blobs[0].row(i)[col] > valtarget) {
top_val_blob.row(cur)[col] = bottom_blobs[0].row(i)[col];
top_ind_blob.row(cur)[col] = i;
cur++;
[Feature] Add NCNN on MMSegmentation (#55) * 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 * first * fix0 * fix1 * dirty work * wip * add allocator * finally done! * lint * fix lint * better gather * better onnx2ncnn * fix tensorslice bugs * fix lint * fix clang-format * remove comments * fix expand * int param * fix lint * [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 * add argmax to topk * add ArgMax parse * add ncnn mmseg deploy cfg * utils add ncnn mmseg * add ncnn * fix lint * fix yapf * fix clang-format-9 * remove debugging code Co-authored-by: grimoire <yaoqian@sensetime.com> Co-authored-by: grimoire <streetyao@live.com> Co-authored-by: maningsheng <mnsheng@yeah.net>
2021-09-03 15:19:54 +08:00
} else if (bottom_blobs[0].row(i)[col] == valtarget &&
i <= indtarget) {
[Feature] Add NCNN on MMSegmentation (#55) * 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 * first * fix0 * fix1 * dirty work * wip * add allocator * finally done! * lint * fix lint * better gather * better onnx2ncnn * fix tensorslice bugs * fix lint * fix clang-format * remove comments * fix expand * int param * fix lint * [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 * add argmax to topk * add ArgMax parse * add ncnn mmseg deploy cfg * utils add ncnn mmseg * add ncnn * fix lint * fix yapf * fix clang-format-9 * remove debugging code Co-authored-by: grimoire <yaoqian@sensetime.com> Co-authored-by: grimoire <streetyao@live.com> Co-authored-by: maningsheng <mnsheng@yeah.net>
2021-09-03 15:19:54 +08:00
top_val_blob.row(cur)[col] = bottom_blobs[0].row(i)[col];
top_ind_blob.row(cur)[col] = i;
cur++;
}
}
} else {
[Feature] Add NCNN on MMSegmentation (#55) * 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 * first * fix0 * fix1 * dirty work * wip * add allocator * finally done! * lint * fix lint * better gather * better onnx2ncnn * fix tensorslice bugs * fix lint * fix clang-format * remove comments * fix expand * int param * fix lint * [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 * add argmax to topk * add ArgMax parse * add ncnn mmseg deploy cfg * utils add ncnn mmseg * add ncnn * fix lint * fix yapf * fix clang-format-9 * remove debugging code Co-authored-by: grimoire <yaoqian@sensetime.com> Co-authored-by: grimoire <streetyao@live.com> Co-authored-by: maningsheng <mnsheng@yeah.net>
2021-09-03 15:19:54 +08:00
for (int i = 0; i < bottom_blobs[0].h; i++) {
if (cur >= topk) break;
[Feature] Add NCNN on MMSegmentation (#55) * 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 * first * fix0 * fix1 * dirty work * wip * add allocator * finally done! * lint * fix lint * better gather * better onnx2ncnn * fix tensorslice bugs * fix lint * fix clang-format * remove comments * fix expand * int param * fix lint * [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 * add argmax to topk * add ArgMax parse * add ncnn mmseg deploy cfg * utils add ncnn mmseg * add ncnn * fix lint * fix yapf * fix clang-format-9 * remove debugging code Co-authored-by: grimoire <yaoqian@sensetime.com> Co-authored-by: grimoire <streetyao@live.com> Co-authored-by: maningsheng <mnsheng@yeah.net>
2021-09-03 15:19:54 +08:00
if (bottom_blobs[0].row(i)[col] < valtarget) {
top_val_blob.row(cur)[col] = bottom_blobs[0].row(i)[col];
top_ind_blob.row(cur)[col] = i;
cur++;
[Feature] Add NCNN on MMSegmentation (#55) * 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 * first * fix0 * fix1 * dirty work * wip * add allocator * finally done! * lint * fix lint * better gather * better onnx2ncnn * fix tensorslice bugs * fix lint * fix clang-format * remove comments * fix expand * int param * fix lint * [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 * add argmax to topk * add ArgMax parse * add ncnn mmseg deploy cfg * utils add ncnn mmseg * add ncnn * fix lint * fix yapf * fix clang-format-9 * remove debugging code Co-authored-by: grimoire <yaoqian@sensetime.com> Co-authored-by: grimoire <streetyao@live.com> Co-authored-by: maningsheng <mnsheng@yeah.net>
2021-09-03 15:19:54 +08:00
} else if (bottom_blobs[0].row(i)[col] == valtarget &&
i <= indtarget) {
[Feature] Add NCNN on MMSegmentation (#55) * 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 * first * fix0 * fix1 * dirty work * wip * add allocator * finally done! * lint * fix lint * better gather * better onnx2ncnn * fix tensorslice bugs * fix lint * fix clang-format * remove comments * fix expand * int param * fix lint * [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 * add argmax to topk * add ArgMax parse * add ncnn mmseg deploy cfg * utils add ncnn mmseg * add ncnn * fix lint * fix yapf * fix clang-format-9 * remove debugging code Co-authored-by: grimoire <yaoqian@sensetime.com> Co-authored-by: grimoire <streetyao@live.com> Co-authored-by: maningsheng <mnsheng@yeah.net>
2021-09-03 15:19:54 +08:00
top_val_blob.row(cur)[col] = bottom_blobs[0].row(i)[col];
top_ind_blob.row(cur)[col] = i;
cur++;
}
}
}
} else {
fprintf(stderr, "sorted attribute should be 0 or 1, but not %d\n",
sorted);
return -100;
}
}
}
[Feature] Add NCNN on MMSegmentation (#55) * 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 * first * fix0 * fix1 * dirty work * wip * add allocator * finally done! * lint * fix lint * better gather * better onnx2ncnn * fix tensorslice bugs * fix lint * fix clang-format * remove comments * fix expand * int param * fix lint * [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 * add argmax to topk * add ArgMax parse * add ncnn mmseg deploy cfg * utils add ncnn mmseg * add ncnn * fix lint * fix yapf * fix clang-format-9 * remove debugging code Co-authored-by: grimoire <yaoqian@sensetime.com> Co-authored-by: grimoire <streetyao@live.com> Co-authored-by: maningsheng <mnsheng@yeah.net>
2021-09-03 15:19:54 +08:00
if (dims == 2 && positive_axis == 1) {
if (topk > bottom_blobs[0].w) {
fprintf(stderr, "topk should not greater than total items!\n");
return -100;
}
top_val_blob.create(topk, bottom_blobs[0].h, 4u, opt.blob_allocator);
if (top_val_blob.empty()) return -100;
[Feature] Add NCNN on MMSegmentation (#55) * 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 * first * fix0 * fix1 * dirty work * wip * add allocator * finally done! * lint * fix lint * better gather * better onnx2ncnn * fix tensorslice bugs * fix lint * fix clang-format * remove comments * fix expand * int param * fix lint * [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 * add argmax to topk * add ArgMax parse * add ncnn mmseg deploy cfg * utils add ncnn mmseg * add ncnn * fix lint * fix yapf * fix clang-format-9 * remove debugging code Co-authored-by: grimoire <yaoqian@sensetime.com> Co-authored-by: grimoire <streetyao@live.com> Co-authored-by: maningsheng <mnsheng@yeah.net>
2021-09-03 15:19:54 +08:00
top_ind_blob.create(topk, bottom_blobs[0].h, 4u, opt.blob_allocator);
if (top_ind_blob.empty()) return -100;
[Feature] Add NCNN on MMSegmentation (#55) * 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 * first * fix0 * fix1 * dirty work * wip * add allocator * finally done! * lint * fix lint * better gather * better onnx2ncnn * fix tensorslice bugs * fix lint * fix clang-format * remove comments * fix expand * int param * fix lint * [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 * add argmax to topk * add ArgMax parse * add ncnn mmseg deploy cfg * utils add ncnn mmseg * add ncnn * fix lint * fix yapf * fix clang-format-9 * remove debugging code Co-authored-by: grimoire <yaoqian@sensetime.com> Co-authored-by: grimoire <streetyao@live.com> Co-authored-by: maningsheng <mnsheng@yeah.net>
2021-09-03 15:19:54 +08:00
for (int r = 0; r < bottom_blobs[0].h; r++) {
std::vector<std::pair<float, int> > vec;
[Feature] Add NCNN on MMSegmentation (#55) * 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 * first * fix0 * fix1 * dirty work * wip * add allocator * finally done! * lint * fix lint * better gather * better onnx2ncnn * fix tensorslice bugs * fix lint * fix clang-format * remove comments * fix expand * int param * fix lint * [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 * add argmax to topk * add ArgMax parse * add ncnn mmseg deploy cfg * utils add ncnn mmseg * add ncnn * fix lint * fix yapf * fix clang-format-9 * remove debugging code Co-authored-by: grimoire <yaoqian@sensetime.com> Co-authored-by: grimoire <streetyao@live.com> Co-authored-by: maningsheng <mnsheng@yeah.net>
2021-09-03 15:19:54 +08:00
vec.resize(bottom_blobs[0].w);
if (largest == 1) {
[Feature] Add NCNN on MMSegmentation (#55) * 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 * first * fix0 * fix1 * dirty work * wip * add allocator * finally done! * lint * fix lint * better gather * better onnx2ncnn * fix tensorslice bugs * fix lint * fix clang-format * remove comments * fix expand * int param * fix lint * [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 * add argmax to topk * add ArgMax parse * add ncnn mmseg deploy cfg * utils add ncnn mmseg * add ncnn * fix lint * fix yapf * fix clang-format-9 * remove debugging code Co-authored-by: grimoire <yaoqian@sensetime.com> Co-authored-by: grimoire <streetyao@live.com> Co-authored-by: maningsheng <mnsheng@yeah.net>
2021-09-03 15:19:54 +08:00
for (int i = 0; i < bottom_blobs[0].w; i++) {
vec[i] = std::make_pair(bottom_blobs[0].row(r)[i], -i);
}
std::partial_sort(vec.begin(), vec.begin() + topk, vec.end(),
std::greater<std::pair<float, int> >());
} else if (largest == 0) {
[Feature] Add NCNN on MMSegmentation (#55) * 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 * first * fix0 * fix1 * dirty work * wip * add allocator * finally done! * lint * fix lint * better gather * better onnx2ncnn * fix tensorslice bugs * fix lint * fix clang-format * remove comments * fix expand * int param * fix lint * [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 * add argmax to topk * add ArgMax parse * add ncnn mmseg deploy cfg * utils add ncnn mmseg * add ncnn * fix lint * fix yapf * fix clang-format-9 * remove debugging code Co-authored-by: grimoire <yaoqian@sensetime.com> Co-authored-by: grimoire <streetyao@live.com> Co-authored-by: maningsheng <mnsheng@yeah.net>
2021-09-03 15:19:54 +08:00
for (int i = 0; i < bottom_blobs[0].w; i++) {
vec[i] = std::make_pair(bottom_blobs[0].row(r)[i], i);
}
std::partial_sort(vec.begin(), vec.begin() + topk, vec.end(),
std::less<std::pair<float, int> >());
} else {
fprintf(stderr, "largest attribute should be 0 or 1, but not %d\n",
largest);
return -100;
}
if (sorted == 1) {
for (int i = 0; i < topk; i++) {
[Feature] Add NCNN on MMSegmentation (#55) * 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 * first * fix0 * fix1 * dirty work * wip * add allocator * finally done! * lint * fix lint * better gather * better onnx2ncnn * fix tensorslice bugs * fix lint * fix clang-format * remove comments * fix expand * int param * fix lint * [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 * add argmax to topk * add ArgMax parse * add ncnn mmseg deploy cfg * utils add ncnn mmseg * add ncnn * fix lint * fix yapf * fix clang-format-9 * remove debugging code Co-authored-by: grimoire <yaoqian@sensetime.com> Co-authored-by: grimoire <streetyao@live.com> Co-authored-by: maningsheng <mnsheng@yeah.net>
2021-09-03 15:19:54 +08:00
top_val_blob.row(r)[i] = vec[i].first;
top_ind_blob.row(r)[i] = abs(vec[i].second);
}
} else if (sorted == 0) {
int cur = 0;
float valtarget = vec[topk - 1].first;
int indtarget = (int)(abs(vec[topk - 1].second) + 0.5);
[Feature] Add NCNN on MMSegmentation (#55) * 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 * first * fix0 * fix1 * dirty work * wip * add allocator * finally done! * lint * fix lint * better gather * better onnx2ncnn * fix tensorslice bugs * fix lint * fix clang-format * remove comments * fix expand * int param * fix lint * [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 * add argmax to topk * add ArgMax parse * add ncnn mmseg deploy cfg * utils add ncnn mmseg * add ncnn * fix lint * fix yapf * fix clang-format-9 * remove debugging code Co-authored-by: grimoire <yaoqian@sensetime.com> Co-authored-by: grimoire <streetyao@live.com> Co-authored-by: maningsheng <mnsheng@yeah.net>
2021-09-03 15:19:54 +08:00
if (largest == 1) {
for (int i = 0; i < bottom_blobs[0].w; i++) {
if (cur >= topk) break;
if (bottom_blobs[0].row(r)[i] > valtarget) {
top_val_blob.row(r)[cur] = bottom_blobs[0].row(r)[i];
top_ind_blob.row(r)[cur] = i;
cur++;
[Feature] Add NCNN on MMSegmentation (#55) * 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 * first * fix0 * fix1 * dirty work * wip * add allocator * finally done! * lint * fix lint * better gather * better onnx2ncnn * fix tensorslice bugs * fix lint * fix clang-format * remove comments * fix expand * int param * fix lint * [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 * add argmax to topk * add ArgMax parse * add ncnn mmseg deploy cfg * utils add ncnn mmseg * add ncnn * fix lint * fix yapf * fix clang-format-9 * remove debugging code Co-authored-by: grimoire <yaoqian@sensetime.com> Co-authored-by: grimoire <streetyao@live.com> Co-authored-by: maningsheng <mnsheng@yeah.net>
2021-09-03 15:19:54 +08:00
} else if (bottom_blobs[0].row(r)[i] == valtarget &&
i <= indtarget) {
[Feature] Add NCNN on MMSegmentation (#55) * 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 * first * fix0 * fix1 * dirty work * wip * add allocator * finally done! * lint * fix lint * better gather * better onnx2ncnn * fix tensorslice bugs * fix lint * fix clang-format * remove comments * fix expand * int param * fix lint * [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 * add argmax to topk * add ArgMax parse * add ncnn mmseg deploy cfg * utils add ncnn mmseg * add ncnn * fix lint * fix yapf * fix clang-format-9 * remove debugging code Co-authored-by: grimoire <yaoqian@sensetime.com> Co-authored-by: grimoire <streetyao@live.com> Co-authored-by: maningsheng <mnsheng@yeah.net>
2021-09-03 15:19:54 +08:00
top_val_blob.row(r)[cur] = bottom_blobs[0].row(r)[i];
top_ind_blob.row(r)[cur] = i;
cur++;
}
[Feature] Add NCNN on MMSegmentation (#55) * 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 * first * fix0 * fix1 * dirty work * wip * add allocator * finally done! * lint * fix lint * better gather * better onnx2ncnn * fix tensorslice bugs * fix lint * fix clang-format * remove comments * fix expand * int param * fix lint * [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 * add argmax to topk * add ArgMax parse * add ncnn mmseg deploy cfg * utils add ncnn mmseg * add ncnn * fix lint * fix yapf * fix clang-format-9 * remove debugging code Co-authored-by: grimoire <yaoqian@sensetime.com> Co-authored-by: grimoire <streetyao@live.com> Co-authored-by: maningsheng <mnsheng@yeah.net>
2021-09-03 15:19:54 +08:00
}
} else {
for (int i = 0; i < bottom_blobs[0].w; i++) {
if (cur >= topk) break;
if (bottom_blobs[0].row(r)[i] < valtarget) {
top_val_blob.row(r)[cur] = bottom_blobs[0].row(r)[i];
top_ind_blob.row(r)[cur] = i;
cur++;
[Feature] Add NCNN on MMSegmentation (#55) * 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 * first * fix0 * fix1 * dirty work * wip * add allocator * finally done! * lint * fix lint * better gather * better onnx2ncnn * fix tensorslice bugs * fix lint * fix clang-format * remove comments * fix expand * int param * fix lint * [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 * add argmax to topk * add ArgMax parse * add ncnn mmseg deploy cfg * utils add ncnn mmseg * add ncnn * fix lint * fix yapf * fix clang-format-9 * remove debugging code Co-authored-by: grimoire <yaoqian@sensetime.com> Co-authored-by: grimoire <streetyao@live.com> Co-authored-by: maningsheng <mnsheng@yeah.net>
2021-09-03 15:19:54 +08:00
} else if (bottom_blobs[0].row(r)[i] == valtarget &&
i <= indtarget) {
[Feature] Add NCNN on MMSegmentation (#55) * 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 * first * fix0 * fix1 * dirty work * wip * add allocator * finally done! * lint * fix lint * better gather * better onnx2ncnn * fix tensorslice bugs * fix lint * fix clang-format * remove comments * fix expand * int param * fix lint * [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 * add argmax to topk * add ArgMax parse * add ncnn mmseg deploy cfg * utils add ncnn mmseg * add ncnn * fix lint * fix yapf * fix clang-format-9 * remove debugging code Co-authored-by: grimoire <yaoqian@sensetime.com> Co-authored-by: grimoire <streetyao@live.com> Co-authored-by: maningsheng <mnsheng@yeah.net>
2021-09-03 15:19:54 +08:00
top_val_blob.row(r)[cur] = bottom_blobs[0].row(r)[i];
top_ind_blob.row(r)[cur] = i;
cur++;
}
}
}
[Feature] Add NCNN on MMSegmentation (#55) * 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 * first * fix0 * fix1 * dirty work * wip * add allocator * finally done! * lint * fix lint * better gather * better onnx2ncnn * fix tensorslice bugs * fix lint * fix clang-format * remove comments * fix expand * int param * fix lint * [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 * add argmax to topk * add ArgMax parse * add ncnn mmseg deploy cfg * utils add ncnn mmseg * add ncnn * fix lint * fix yapf * fix clang-format-9 * remove debugging code Co-authored-by: grimoire <yaoqian@sensetime.com> Co-authored-by: grimoire <streetyao@live.com> Co-authored-by: maningsheng <mnsheng@yeah.net>
2021-09-03 15:19:54 +08:00
} else {
fprintf(stderr, "sorted attribute should be 0 or 1, but not %d\n",
sorted);
return -100;
}
}
}
[Feature] Add NCNN on MMSegmentation (#55) * 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 * first * fix0 * fix1 * dirty work * wip * add allocator * finally done! * lint * fix lint * better gather * better onnx2ncnn * fix tensorslice bugs * fix lint * fix clang-format * remove comments * fix expand * int param * fix lint * [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 * add argmax to topk * add ArgMax parse * add ncnn mmseg deploy cfg * utils add ncnn mmseg * add ncnn * fix lint * fix yapf * fix clang-format-9 * remove debugging code Co-authored-by: grimoire <yaoqian@sensetime.com> Co-authored-by: grimoire <streetyao@live.com> Co-authored-by: maningsheng <mnsheng@yeah.net>
2021-09-03 15:19:54 +08:00
if (dims == 3 && positive_axis == 0) {
if (topk > bottom_blobs[0].c) {
fprintf(stderr, "topk should not greater than total items!\n");
return -100;
}
top_val_blob.create(bottom_blobs[0].w, bottom_blobs[0].h, topk, 4u,
opt.blob_allocator);
if (top_val_blob.empty()) return -100;
[Feature] Add NCNN on MMSegmentation (#55) * 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 * first * fix0 * fix1 * dirty work * wip * add allocator * finally done! * lint * fix lint * better gather * better onnx2ncnn * fix tensorslice bugs * fix lint * fix clang-format * remove comments * fix expand * int param * fix lint * [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 * add argmax to topk * add ArgMax parse * add ncnn mmseg deploy cfg * utils add ncnn mmseg * add ncnn * fix lint * fix yapf * fix clang-format-9 * remove debugging code Co-authored-by: grimoire <yaoqian@sensetime.com> Co-authored-by: grimoire <streetyao@live.com> Co-authored-by: maningsheng <mnsheng@yeah.net>
2021-09-03 15:19:54 +08:00
top_ind_blob.create(bottom_blobs[0].w, bottom_blobs[0].h, topk, 4u,
opt.blob_allocator);
if (top_ind_blob.empty()) return -100;
for (int r = 0; r < bottom_blobs[0].h; r++) {
[Feature] Add NCNN on MMSegmentation (#55) * 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 * first * fix0 * fix1 * dirty work * wip * add allocator * finally done! * lint * fix lint * better gather * better onnx2ncnn * fix tensorslice bugs * fix lint * fix clang-format * remove comments * fix expand * int param * fix lint * [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 * add argmax to topk * add ArgMax parse * add ncnn mmseg deploy cfg * utils add ncnn mmseg * add ncnn * fix lint * fix yapf * fix clang-format-9 * remove debugging code Co-authored-by: grimoire <yaoqian@sensetime.com> Co-authored-by: grimoire <streetyao@live.com> Co-authored-by: maningsheng <mnsheng@yeah.net>
2021-09-03 15:19:54 +08:00
for (int col = 0; col < bottom_blobs[0].w; col++) {
std::vector<std::pair<float, int> > vec;
vec.resize(bottom_blobs[0].c);
[Feature] Add NCNN on MMSegmentation (#55) * 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 * first * fix0 * fix1 * dirty work * wip * add allocator * finally done! * lint * fix lint * better gather * better onnx2ncnn * fix tensorslice bugs * fix lint * fix clang-format * remove comments * fix expand * int param * fix lint * [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 * add argmax to topk * add ArgMax parse * add ncnn mmseg deploy cfg * utils add ncnn mmseg * add ncnn * fix lint * fix yapf * fix clang-format-9 * remove debugging code Co-authored-by: grimoire <yaoqian@sensetime.com> Co-authored-by: grimoire <streetyao@live.com> Co-authored-by: maningsheng <mnsheng@yeah.net>
2021-09-03 15:19:54 +08:00
if (largest == 1) {
for (int i = 0; i < bottom_blobs[0].c; i++) {
vec[i] =
std::make_pair(bottom_blobs[0].channel(i).row(r)[col], -i);
}
std::partial_sort(vec.begin(), vec.begin() + topk, vec.end(),
std::greater<std::pair<float, int> >());
} else if (largest == 0) {
for (int i = 0; i < bottom_blobs[0].c; i++) {
vec[i] =
std::make_pair(bottom_blobs[0].channel(i).row(r)[col], i);
}
std::partial_sort(vec.begin(), vec.begin() + topk, vec.end(),
std::less<std::pair<float, int> >());
} else {
fprintf(stderr, "largest attribute should be 0 or 1, but not %d\n",
largest);
return -100;
}
[Feature] Add NCNN on MMSegmentation (#55) * 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 * first * fix0 * fix1 * dirty work * wip * add allocator * finally done! * lint * fix lint * better gather * better onnx2ncnn * fix tensorslice bugs * fix lint * fix clang-format * remove comments * fix expand * int param * fix lint * [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 * add argmax to topk * add ArgMax parse * add ncnn mmseg deploy cfg * utils add ncnn mmseg * add ncnn * fix lint * fix yapf * fix clang-format-9 * remove debugging code Co-authored-by: grimoire <yaoqian@sensetime.com> Co-authored-by: grimoire <streetyao@live.com> Co-authored-by: maningsheng <mnsheng@yeah.net>
2021-09-03 15:19:54 +08:00
if (sorted == 1) {
for (int i = 0; i < topk; i++) {
top_val_blob.channel(i).row(r)[col] = vec[i].first;
top_ind_blob.channel(i).row(r)[col] = abs(vec[i].second);
}
} else if (sorted == 0) {
int cur = 0;
float valtarget = vec[topk - 1].first;
int indtarget = (int)(abs(vec[topk - 1].second) + 0.5);
if (largest == 1) {
for (int i = 0; i < bottom_blobs[0].c; i++) {
if (cur >= topk) break;
if (bottom_blobs[0].channel(i).row(r)[col] > valtarget) {
top_val_blob.channel(cur).row(r)[col] =
bottom_blobs[0].channel(i).row(r)[col];
top_ind_blob.channel(cur).row(r)[col] = i;
cur++;
} else if (bottom_blobs[0].channel(i).row(r)[col] ==
valtarget &&
i <= indtarget) {
top_val_blob.channel(cur).row(r)[col] =
bottom_blobs[0].channel(i).row(r)[col];
top_ind_blob.channel(cur).row(r)[col] = i;
cur++;
}
}
} else {
for (int i = 0; i < bottom_blobs[0].c; i++) {
if (cur >= topk) break;
if (bottom_blobs[0].channel(i).row(r)[col] < valtarget) {
top_val_blob.channel(cur).row(r)[col] =
bottom_blobs[0].channel(i).row(r)[col];
top_ind_blob.channel(cur).row(r)[col] = i;
cur++;
} else if (bottom_blobs[0].channel(i).row(r)[col] ==
valtarget &&
i <= indtarget) {
top_val_blob.channel(cur).row(r)[col] =
bottom_blobs[0].channel(i).row(r)[col];
top_ind_blob.channel(cur).row(r)[col] = i;
cur++;
}
}
}
} else {
fprintf(stderr, "sorted attribute should be 0 or 1, but not %d\n",
sorted);
return -100;
}
}
[Feature] Add NCNN on MMSegmentation (#55) * 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 * first * fix0 * fix1 * dirty work * wip * add allocator * finally done! * lint * fix lint * better gather * better onnx2ncnn * fix tensorslice bugs * fix lint * fix clang-format * remove comments * fix expand * int param * fix lint * [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 * add argmax to topk * add ArgMax parse * add ncnn mmseg deploy cfg * utils add ncnn mmseg * add ncnn * fix lint * fix yapf * fix clang-format-9 * remove debugging code Co-authored-by: grimoire <yaoqian@sensetime.com> Co-authored-by: grimoire <streetyao@live.com> Co-authored-by: maningsheng <mnsheng@yeah.net>
2021-09-03 15:19:54 +08:00
}
}
if (dims == 3 && positive_axis == 1) {
if (topk > bottom_blobs[0].h) {
fprintf(stderr, "topk should not greater than total items!\n");
return -100;
}
top_val_blob.create(bottom_blobs[0].w, topk, bottom_blobs[0].c, 4u,
opt.blob_allocator);
if (top_val_blob.empty()) return -100;
top_ind_blob.create(bottom_blobs[0].w, topk, bottom_blobs[0].c, 4u,
opt.blob_allocator);
if (top_ind_blob.empty()) return -100;
for (int page = 0; page < bottom_blobs[0].c; page++) {
for (int col = 0; col < bottom_blobs[0].w; col++) {
std::vector<std::pair<float, int> > vec;
vec.resize(bottom_blobs[0].h);
if (largest == 1) {
[Feature] Add NCNN on MMSegmentation (#55) * 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 * first * fix0 * fix1 * dirty work * wip * add allocator * finally done! * lint * fix lint * better gather * better onnx2ncnn * fix tensorslice bugs * fix lint * fix clang-format * remove comments * fix expand * int param * fix lint * [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 * add argmax to topk * add ArgMax parse * add ncnn mmseg deploy cfg * utils add ncnn mmseg * add ncnn * fix lint * fix yapf * fix clang-format-9 * remove debugging code Co-authored-by: grimoire <yaoqian@sensetime.com> Co-authored-by: grimoire <streetyao@live.com> Co-authored-by: maningsheng <mnsheng@yeah.net>
2021-09-03 15:19:54 +08:00
for (int i = 0; i < bottom_blobs[0].h; i++) {
vec[i] =
std::make_pair(bottom_blobs[0].channel(page).row(i)[col], -i);
}
std::partial_sort(vec.begin(), vec.begin() + topk, vec.end(),
std::greater<std::pair<float, int> >());
} else if (largest == 0) {
for (int i = 0; i < bottom_blobs[0].h; i++) {
vec[i] =
std::make_pair(bottom_blobs[0].channel(page).row(i)[col], i);
}
std::partial_sort(vec.begin(), vec.begin() + topk, vec.end(),
std::less<std::pair<float, int> >());
} else {
fprintf(stderr, "largest attribute should be 0 or 1, but not %d\n",
largest);
return -100;
}
if (sorted == 1) {
for (int i = 0; i < topk; i++) {
top_val_blob.channel(page).row(i)[col] = vec[i].first;
top_ind_blob.channel(page).row(i)[col] = abs(vec[i].second);
}
} else if (sorted == 0) {
int cur = 0;
float valtarget = vec[topk - 1].first;
int indtarget = (int)(abs(vec[topk - 1].second) + 0.5);
for (int i = 0; i < bottom_blobs[0].h; i++) {
if (cur >= topk) break;
[Feature] Add NCNN on MMSegmentation (#55) * 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 * first * fix0 * fix1 * dirty work * wip * add allocator * finally done! * lint * fix lint * better gather * better onnx2ncnn * fix tensorslice bugs * fix lint * fix clang-format * remove comments * fix expand * int param * fix lint * [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 * add argmax to topk * add ArgMax parse * add ncnn mmseg deploy cfg * utils add ncnn mmseg * add ncnn * fix lint * fix yapf * fix clang-format-9 * remove debugging code Co-authored-by: grimoire <yaoqian@sensetime.com> Co-authored-by: grimoire <streetyao@live.com> Co-authored-by: maningsheng <mnsheng@yeah.net>
2021-09-03 15:19:54 +08:00
if (largest == 1) {
if (bottom_blobs[0].channel(page).row(i)[col] > valtarget) {
top_val_blob.channel(page).row(cur)[col] =
bottom_blobs[0].channel(page).row(i)[col];
top_ind_blob.channel(page).row(cur)[col] = i;
cur++;
} else if (bottom_blobs[0].channel(page).row(i)[col] ==
valtarget &&
i <= indtarget) {
top_val_blob.channel(page).row(cur)[col] =
bottom_blobs[0].channel(page).row(i)[col];
top_ind_blob.channel(page).row(cur)[col] = i;
cur++;
}
} else {
if (bottom_blobs[0].channel(page).row(i)[col] < valtarget) {
top_val_blob.channel(page).row(cur)[col] =
bottom_blobs[0].channel(page).row(i)[col];
top_ind_blob.channel(page).row(cur)[col] = i;
cur++;
} else if (bottom_blobs[0].channel(page).row(i)[col] ==
valtarget &&
i <= indtarget) {
top_val_blob.channel(page).row(cur)[col] =
bottom_blobs[0].channel(page).row(i)[col];
top_ind_blob.channel(page).row(cur)[col] = i;
cur++;
}
}
}
} else {
[Feature] Add NCNN on MMSegmentation (#55) * 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 * first * fix0 * fix1 * dirty work * wip * add allocator * finally done! * lint * fix lint * better gather * better onnx2ncnn * fix tensorslice bugs * fix lint * fix clang-format * remove comments * fix expand * int param * fix lint * [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 * add argmax to topk * add ArgMax parse * add ncnn mmseg deploy cfg * utils add ncnn mmseg * add ncnn * fix lint * fix yapf * fix clang-format-9 * remove debugging code Co-authored-by: grimoire <yaoqian@sensetime.com> Co-authored-by: grimoire <streetyao@live.com> Co-authored-by: maningsheng <mnsheng@yeah.net>
2021-09-03 15:19:54 +08:00
fprintf(stderr, "sorted attribute should be 0 or 1, but not %d\n",
sorted);
return -100;
}
}
}
}
if (dims == 3 && positive_axis == 2) {
if (topk > bottom_blobs[0].w) {
fprintf(stderr, "topk should not greater than total items!\n");
return -100;
}
top_val_blob.create(topk, bottom_blobs[0].h, bottom_blobs[0].c, 4u,
opt.blob_allocator);
if (top_val_blob.empty()) return -100;
top_ind_blob.create(topk, bottom_blobs[0].h, bottom_blobs[0].c, 4u,
opt.blob_allocator);
if (top_ind_blob.empty()) return -100;
for (int page = 0; page < bottom_blobs[0].c; page++) {
for (int r = 0; r < bottom_blobs[0].h; r++) {
std::vector<std::pair<float, int> > vec;
vec.resize(bottom_blobs[0].w);
if (largest == 1) {
for (int i = 0; i < bottom_blobs[0].w; i++) {
[Feature] Add NCNN on MMSegmentation (#55) * 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 * first * fix0 * fix1 * dirty work * wip * add allocator * finally done! * lint * fix lint * better gather * better onnx2ncnn * fix tensorslice bugs * fix lint * fix clang-format * remove comments * fix expand * int param * fix lint * [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 * add argmax to topk * add ArgMax parse * add ncnn mmseg deploy cfg * utils add ncnn mmseg * add ncnn * fix lint * fix yapf * fix clang-format-9 * remove debugging code Co-authored-by: grimoire <yaoqian@sensetime.com> Co-authored-by: grimoire <streetyao@live.com> Co-authored-by: maningsheng <mnsheng@yeah.net>
2021-09-03 15:19:54 +08:00
vec[i] =
std::make_pair(bottom_blobs[0].channel(page).row(r)[i], -i);
}
std::partial_sort(vec.begin(), vec.begin() + topk, vec.end(),
std::greater<std::pair<float, int> >());
} else if (largest == 0) {
for (int i = 0; i < bottom_blobs[0].w; i++) {
vec[i] =
std::make_pair(bottom_blobs[0].channel(page).row(r)[i], i);
}
std::partial_sort(vec.begin(), vec.begin() + topk, vec.end(),
std::less<std::pair<float, int> >());
} else {
fprintf(stderr, "largest attribute should be 0 or 1, but not %d\n",
largest);
return -100;
}
if (sorted == 1) {
for (int i = 0; i < topk; i++) {
top_val_blob.channel(page).row(r)[i] = vec[i].first;
top_ind_blob.channel(page).row(r)[i] = abs(vec[i].second);
}
} else if (sorted == 0) {
int cur = 0;
float valtarget = vec[topk - 1].first;
int indtarget = (int)(abs(vec[topk - 1].second) + 0.5);
if (largest == 1) {
for (int i = 0; i < bottom_blobs[0].w; i++) {
if (cur >= topk) break;
if (bottom_blobs[0].channel(page).row(r)[i] > valtarget) {
top_val_blob.channel(page).row(r)[cur] =
bottom_blobs[0].channel(page).row(r)[i];
top_ind_blob.channel(page).row(r)[cur] = i;
cur++;
} else if (bottom_blobs[0].channel(page).row(r)[i] ==
valtarget &&
i <= indtarget) {
top_val_blob.channel(page).row(r)[cur] =
bottom_blobs[0].channel(page).row(r)[i];
top_ind_blob.channel(page).row(r)[cur] = i;
cur++;
}
}
} else {
for (int i = 0; i < bottom_blobs[0].w; i++) {
if (cur >= topk) break;
if (bottom_blobs[0].channel(page).row(r)[i] < valtarget) {
top_val_blob.channel(page).row(r)[cur] =
bottom_blobs[0].channel(page).row(r)[i];
top_ind_blob.channel(page).row(r)[cur] = i;
cur++;
} else if (bottom_blobs[0].channel(page).row(r)[i] ==
valtarget &&
i <= indtarget) {
top_val_blob.channel(page).row(r)[cur] =
bottom_blobs[0].channel(page).row(r)[i];
top_ind_blob.channel(page).row(r)[cur] = i;
cur++;
}
}
}
[Feature] Add NCNN on MMSegmentation (#55) * 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 * first * fix0 * fix1 * dirty work * wip * add allocator * finally done! * lint * fix lint * better gather * better onnx2ncnn * fix tensorslice bugs * fix lint * fix clang-format * remove comments * fix expand * int param * fix lint * [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 * add argmax to topk * add ArgMax parse * add ncnn mmseg deploy cfg * utils add ncnn mmseg * add ncnn * fix lint * fix yapf * fix clang-format-9 * remove debugging code Co-authored-by: grimoire <yaoqian@sensetime.com> Co-authored-by: grimoire <streetyao@live.com> Co-authored-by: maningsheng <mnsheng@yeah.net>
2021-09-03 15:19:54 +08:00
} else {
fprintf(stderr, "sorted attribute should be 0 or 1, but not %d\n",
sorted);
return -100;
}
[Feature] Add NCNN on MMSegmentation (#55) * 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 * first * fix0 * fix1 * dirty work * wip * add allocator * finally done! * lint * fix lint * better gather * better onnx2ncnn * fix tensorslice bugs * fix lint * fix clang-format * remove comments * fix expand * int param * fix lint * [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 * add argmax to topk * add ArgMax parse * add ncnn mmseg deploy cfg * utils add ncnn mmseg * add ncnn * fix lint * fix yapf * fix clang-format-9 * remove debugging code Co-authored-by: grimoire <yaoqian@sensetime.com> Co-authored-by: grimoire <streetyao@live.com> Co-authored-by: maningsheng <mnsheng@yeah.net>
2021-09-03 15:19:54 +08:00
}
}
}
} else {
if (topk <= 0) {
fprintf(stderr, "topk should not <= 0!\n");
return -102;
}
if (dims == 1 && positive_axis == 0) {
if (topk > bottom_blobs[0].w) {
fprintf(stderr, "topk should not greater than total items!\n");
return -100;
}
top_val_blob.create(topk, 4u, opt.blob_allocator);
if (top_val_blob.empty()) return -100;
if (top_blobs.size() == 2) {
top_ind_blob.create(topk, 4u, opt.blob_allocator);
if (top_ind_blob.empty()) return -100;
}
const float* ptr = bottom_blobs[0];
std::vector<float> vec;
vec.resize(bottom_blobs[0].w);
float* valptr = top_val_blob;
float* indptr;
if (top_blobs.size() == 2) indptr = top_ind_blob;
for (int i = 0; i < bottom_blobs[0].w; i++) {
vec[i] = ptr[i];
}
if (largest == 1) {
auto index_iter = std::max_element(vec.begin(), vec.end());
valptr[0] = *index_iter;
if (top_blobs.size() == 2)
indptr[0] = std::distance(vec.begin(), index_iter);
else
valptr[0] =
std::distance(vec.begin(), index_iter); // replace with index
} else if (largest == 0) {
auto index_iter = std::min_element(vec.begin(), vec.end());
valptr[0] = *index_iter;
if (top_blobs.size() == 2)
indptr[0] = std::distance(vec.begin(), index_iter);
else
valptr[0] =
std::distance(vec.begin(), index_iter); // replace with index
} else {
fprintf(stderr, "largest attribute should be 0 or 1, but not %d\n",
largest);
return -100;
}
}
if (dims == 2 && positive_axis == 0) {
if (keep_dims == 1) {
top_val_blob.create(bottom_blobs[0].w, topk, 4u, opt.blob_allocator);
if (top_val_blob.empty()) return -100;
if (top_blobs.size() == 2) {
top_ind_blob.create(bottom_blobs[0].w, topk, 4u, opt.blob_allocator);
if (top_ind_blob.empty()) return -100;
}
} else {
top_val_blob.create(bottom_blobs[0].w, 4u, opt.blob_allocator);
if (top_val_blob.empty()) return -100;
if (top_blobs.size() == 2) {
top_ind_blob.create(bottom_blobs[0].w, 4u, opt.blob_allocator);
if (top_ind_blob.empty()) return -100;
}
}
const float* ptr = bottom_blobs[0];
std::vector<float> vec;
vec.resize(bottom_blobs[0].h);
float* valptr = top_val_blob;
float* indptr;
if (top_blobs.size() == 2) indptr = top_ind_blob;
for (int col = 0; col < bottom_blobs[0].w; col++) {
for (int i = 0; i < bottom_blobs[0].h; i++) {
vec[i] = ptr[i * bottom_blobs[0].w + col];
}
if (largest == 1) {
auto index_iter = std::max_element(vec.begin(), vec.end());
valptr[col] = *index_iter;
if (top_blobs.size() == 2)
indptr[col] = std::distance(vec.begin(), index_iter);
else
valptr[col] = std::distance(vec.begin(), index_iter);
[Feature] Add NCNN on MMSegmentation (#55) * 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 * first * fix0 * fix1 * dirty work * wip * add allocator * finally done! * lint * fix lint * better gather * better onnx2ncnn * fix tensorslice bugs * fix lint * fix clang-format * remove comments * fix expand * int param * fix lint * [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 * add argmax to topk * add ArgMax parse * add ncnn mmseg deploy cfg * utils add ncnn mmseg * add ncnn * fix lint * fix yapf * fix clang-format-9 * remove debugging code Co-authored-by: grimoire <yaoqian@sensetime.com> Co-authored-by: grimoire <streetyao@live.com> Co-authored-by: maningsheng <mnsheng@yeah.net>
2021-09-03 15:19:54 +08:00
} else if (largest == 0) {
auto index_iter = std::min_element(vec.begin(), vec.end());
valptr[col] = *index_iter;
if (top_blobs.size() == 2)
indptr[col] = std::distance(vec.begin(), index_iter);
else
valptr[col] = std::distance(vec.begin(), index_iter);
} else {
[Feature] Add NCNN on MMSegmentation (#55) * 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 * first * fix0 * fix1 * dirty work * wip * add allocator * finally done! * lint * fix lint * better gather * better onnx2ncnn * fix tensorslice bugs * fix lint * fix clang-format * remove comments * fix expand * int param * fix lint * [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 * add argmax to topk * add ArgMax parse * add ncnn mmseg deploy cfg * utils add ncnn mmseg * add ncnn * fix lint * fix yapf * fix clang-format-9 * remove debugging code Co-authored-by: grimoire <yaoqian@sensetime.com> Co-authored-by: grimoire <streetyao@live.com> Co-authored-by: maningsheng <mnsheng@yeah.net>
2021-09-03 15:19:54 +08:00
fprintf(stderr, "largest attribute should be 0 or 1, but not %d\n",
largest);
return -100;
}
}
}
[Feature] Add NCNN on MMSegmentation (#55) * 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 * first * fix0 * fix1 * dirty work * wip * add allocator * finally done! * lint * fix lint * better gather * better onnx2ncnn * fix tensorslice bugs * fix lint * fix clang-format * remove comments * fix expand * int param * fix lint * [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 * add argmax to topk * add ArgMax parse * add ncnn mmseg deploy cfg * utils add ncnn mmseg * add ncnn * fix lint * fix yapf * fix clang-format-9 * remove debugging code Co-authored-by: grimoire <yaoqian@sensetime.com> Co-authored-by: grimoire <streetyao@live.com> Co-authored-by: maningsheng <mnsheng@yeah.net>
2021-09-03 15:19:54 +08:00
if (dims == 2 && positive_axis == 1) {
if (keep_dims == 1) {
top_val_blob.create(topk, bottom_blobs[0].h, 4u, opt.blob_allocator);
if (top_val_blob.empty()) return -100;
if (top_blobs.size() == 2) {
top_ind_blob.create(topk, bottom_blobs[0].h, 4u, opt.blob_allocator);
if (top_ind_blob.empty()) return -100;
}
} else {
top_val_blob.create(bottom_blobs[0].h, 4u, opt.blob_allocator);
if (top_val_blob.empty()) return -100;
if (top_blobs.size() == 2) {
top_ind_blob.create(bottom_blobs[0].h, 4u, opt.blob_allocator);
if (top_ind_blob.empty()) return -100;
}
}
const float* ptr = bottom_blobs[0];
std::vector<float> vec;
vec.resize(bottom_blobs[0].w);
float* valptr = top_val_blob;
float* indptr;
if (top_blobs.size() == 2) indptr = top_ind_blob;
for (int r = 0; r < bottom_blobs[0].h; r++) {
for (int i = 0; i < bottom_blobs[0].w; i++) {
vec[i] = ptr[r * bottom_blobs[0].w + i];
}
if (largest == 1) {
auto index_iter = std::max_element(vec.begin(), vec.end());
valptr[r] = *index_iter;
if (top_blobs.size() == 2)
indptr[r] = std::distance(vec.begin(), index_iter);
else
valptr[r] = std::distance(vec.begin(), index_iter);
} else if (largest == 0) {
auto index_iter = std::min_element(vec.begin(), vec.end());
valptr[r] = *index_iter;
if (top_blobs.size() == 2)
indptr[r] = std::distance(vec.begin(), index_iter);
else
valptr[r] = std::distance(vec.begin(), index_iter);
} else {
fprintf(stderr, "largest attribute should be 0 or 1, but not %d\n",
largest);
return -100;
}
}
}
if (dims == 3 && positive_axis == 0) {
if (keep_dims == 1) {
top_val_blob.create(bottom_blobs[0].w, bottom_blobs[0].h, topk, 4u,
opt.blob_allocator);
if (top_val_blob.empty()) return -100;
if (top_blobs.size() == 2) {
top_ind_blob.create(bottom_blobs[0].w, bottom_blobs[0].h, topk, 4u,
opt.blob_allocator);
if (top_ind_blob.empty()) return -100;
}
} else {
top_val_blob.create(bottom_blobs[0].w, bottom_blobs[0].h, 4u,
opt.blob_allocator);
if (top_val_blob.empty()) return -100;
if (top_blobs.size() == 2) {
top_ind_blob.create(bottom_blobs[0].w, bottom_blobs[0].h, 4u,
opt.blob_allocator);
if (top_ind_blob.empty()) return -100;
}
}
const float* ptr = bottom_blobs[0];
std::vector<float> vec;
vec.resize(bottom_blobs[0].c);
float* valptr = top_val_blob;
float* indptr;
if (top_blobs.size() == 2) indptr = top_ind_blob;
for (int r = 0; r < bottom_blobs[0].h; r++) {
for (int col = 0; col < bottom_blobs[0].w; col++) {
for (int i = 0; i < bottom_blobs[0].c; i++) {
ptr = bottom_blobs[0].channel(i);
vec[i] = ptr[r * bottom_blobs[0].w + col];
}
if (largest == 1) {
auto index_iter = std::max_element(vec.begin(), vec.end());
valptr[r * top_val_blob.w + col] = *index_iter;
if (top_blobs.size() == 2)
indptr[r * top_ind_blob.w + col] =
std::distance(vec.begin(), index_iter);
else
valptr[r * top_ind_blob.w + col] =
std::distance(vec.begin(), index_iter);
} else if (largest == 0) {
auto index_iter = std::min_element(vec.begin(), vec.end());
valptr[r * top_val_blob.w + col] = *index_iter;
if (top_blobs.size() == 2)
indptr[r * top_ind_blob.w + col] =
std::distance(vec.begin(), index_iter);
else
valptr[r * top_ind_blob.w + col] =
std::distance(vec.begin(), index_iter);
} else {
fprintf(stderr, "largest attribute should be 0 or 1, but not %d\n",
largest);
return -100;
}
}
}
}
if (dims == 3 && positive_axis == 1) {
if (keep_dims == 1) {
top_val_blob.create(bottom_blobs[0].w, topk, bottom_blobs[0].c, 4u,
opt.blob_allocator);
if (top_val_blob.empty()) return -100;
if (top_blobs.size() == 2) {
top_ind_blob.create(bottom_blobs[0].w, topk, bottom_blobs[0].c, 4u,
opt.blob_allocator);
if (top_ind_blob.empty()) return -100;
}
std::vector<float> vec;
vec.resize(bottom_blobs[0].h);
for (int page = 0; page < bottom_blobs[0].c; page++) {
const float* ptr = bottom_blobs[0].channel(page);
float* valptr = top_val_blob.channel(page);
float* indptr;
if (top_blobs.size() == 2) indptr = top_ind_blob.channel(page);
for (int col = 0; col < bottom_blobs[0].w; col++) {
for (int i = 0; i < bottom_blobs[0].h; i++) {
vec[i] = ptr[i * bottom_blobs[0].w + col];
}
if (largest == 1) {
auto index_iter = std::max_element(vec.begin(), vec.end());
valptr[col] = *index_iter;
if (top_blobs.size() == 2)
indptr[col] = std::distance(vec.begin(), index_iter);
else
valptr[col] = std::distance(vec.begin(), index_iter);
} else if (largest == 0) {
auto index_iter = std::min_element(vec.begin(), vec.end());
valptr[col] = *index_iter;
if (top_blobs.size() == 2)
indptr[col] = std::distance(vec.begin(), index_iter);
else
valptr[col] = std::distance(vec.begin(), index_iter);
} else {
fprintf(stderr,
"largest attribute should be 0 or 1, but not %d\n",
largest);
return -100;
}
}
}
} else {
top_val_blob.create(bottom_blobs[0].w, bottom_blobs[0].c, 4u,
opt.blob_allocator);
if (top_val_blob.empty()) return -100;
if (top_blobs.size() == 2) {
top_ind_blob.create(bottom_blobs[0].w, bottom_blobs[0].c, 4u,
opt.blob_allocator);
if (top_ind_blob.empty()) return -100;
}
std::vector<float> vec;
vec.resize(bottom_blobs[0].h);
float* valptr = top_val_blob;
float* indptr;
if (top_blobs.size() == 2) indptr = top_ind_blob;
for (int page = 0; page < bottom_blobs[0].c; page++) {
const float* ptr = bottom_blobs[0].channel(page);
for (int col = 0; col < bottom_blobs[0].w; col++) {
for (int i = 0; i < bottom_blobs[0].h; i++) {
vec[i] = ptr[i * bottom_blobs[0].w + col];
}
if (largest == 1) {
auto index_iter = std::max_element(vec.begin(), vec.end());
valptr[page * top_val_blob.w + col] = *index_iter;
if (top_blobs.size() == 2)
indptr[page * top_ind_blob.w + col] =
std::distance(vec.begin(), index_iter);
else
valptr[page * top_ind_blob.w + col] =
std::distance(vec.begin(), index_iter);
} else if (largest == 0) {
auto index_iter = std::min_element(vec.begin(), vec.end());
valptr[page * top_val_blob.w + col] = *index_iter;
if (top_blobs.size() == 2)
indptr[page * top_ind_blob.w + col] =
std::distance(vec.begin(), index_iter);
else
valptr[page * top_ind_blob.w + col] =
std::distance(vec.begin(), index_iter);
} else {
fprintf(stderr,
"largest attribute should be 0 or 1, but not %d\n",
largest);
return -100;
}
}
}
}
}
if (dims == 3 && positive_axis == 2) {
if (keep_dims == 1) {
top_val_blob.create(topk, bottom_blobs[0].h, bottom_blobs[0].c, 4u,
opt.blob_allocator);
if (top_val_blob.empty()) return -100;
if (top_blobs.size() == 2) {
top_ind_blob.create(topk, bottom_blobs[0].h, bottom_blobs[0].c, 4u,
opt.blob_allocator);
if (top_ind_blob.empty()) return -100;
}
std::vector<float> vec;
vec.resize(bottom_blobs[0].w);
for (int page = 0; page < bottom_blobs[0].c; page++) {
const float* ptr = bottom_blobs[0].channel(page);
float* valptr = top_val_blob.channel(page);
float* indptr;
if (top_blobs.size() == 2) indptr = top_ind_blob.channel(page);
for (int r = 0; r < bottom_blobs[0].h; r++) {
for (int i = 0; i < bottom_blobs[0].w; i++) {
vec[i] = ptr[r * bottom_blobs[0].w + i];
}
if (largest == 1) {
auto index_iter = std::max_element(vec.begin(), vec.end());
valptr[r] = *index_iter;
if (top_blobs.size() == 2)
indptr[r] = std::distance(vec.begin(), index_iter);
else
valptr[r] = std::distance(vec.begin(), index_iter);
} else if (largest == 0) {
auto index_iter = std::min_element(vec.begin(), vec.end());
valptr[r] = *index_iter;
if (top_blobs.size() == 2)
indptr[r] = std::distance(vec.begin(), index_iter);
else
valptr[r] = std::distance(vec.begin(), index_iter);
} else {
fprintf(stderr,
"largest attribute should be 0 or 1, but not %d\n",
largest);
return -100;
}
}
}
} else {
top_val_blob.create(bottom_blobs[0].h, bottom_blobs[0].c, 4u,
opt.blob_allocator);
if (top_val_blob.empty()) return -100;
if (top_blobs.size() == 2) {
top_ind_blob.create(bottom_blobs[0].h, bottom_blobs[0].c, 4u,
opt.blob_allocator);
if (top_ind_blob.empty()) return -100;
}
std::vector<float> vec;
vec.resize(bottom_blobs[0].w);
float* valptr = top_val_blob;
float* indptr;
if (top_blobs.size() == 2) indptr = top_ind_blob;
[Feature] Add NCNN on MMSegmentation (#55) * 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 * first * fix0 * fix1 * dirty work * wip * add allocator * finally done! * lint * fix lint * better gather * better onnx2ncnn * fix tensorslice bugs * fix lint * fix clang-format * remove comments * fix expand * int param * fix lint * [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 * add argmax to topk * add ArgMax parse * add ncnn mmseg deploy cfg * utils add ncnn mmseg * add ncnn * fix lint * fix yapf * fix clang-format-9 * remove debugging code Co-authored-by: grimoire <yaoqian@sensetime.com> Co-authored-by: grimoire <streetyao@live.com> Co-authored-by: maningsheng <mnsheng@yeah.net>
2021-09-03 15:19:54 +08:00
for (int page = 0; page < bottom_blobs[0].c; page++) {
const float* ptr = bottom_blobs[0].channel(page);
for (int r = 0; r < bottom_blobs[0].h; r++) {
for (int i = 0; i < bottom_blobs[0].w; i++) {
vec[i] = ptr[r * bottom_blobs[0].w + i];
}
if (largest == 1) {
auto index_iter = std::max_element(vec.begin(), vec.end());
valptr[page * top_val_blob.w + r] = *index_iter;
if (top_blobs.size() == 2)
indptr[page * top_ind_blob.w + r] =
std::distance(vec.begin(), index_iter);
else
valptr[page * top_ind_blob.w + r] =
std::distance(vec.begin(), index_iter);
} else if (largest == 0) {
auto index_iter = std::min_element(vec.begin(), vec.end());
valptr[page * top_val_blob.w + r] = *index_iter;
if (top_blobs.size() == 2)
indptr[page * top_val_blob.w + r] =
std::distance(vec.begin(), index_iter);
else
valptr[page * top_ind_blob.w + r] =
std::distance(vec.begin(), index_iter);
} else {
fprintf(stderr,
"largest attribute should be 0 or 1, but not %d\n",
largest);
return -100;
}
}
}
}
}
}
return 0;
}
} // namespace mmlab