wehub-resource-sync
43 lines
1.0 KiB
C++
43 lines
1.0 KiB
C++
//
|
|
// CropAndResizeTf.cpp
|
|
// MNNConverter
|
|
//
|
|
// Created by MNN on 2019/01/31.
|
|
// Copyright © 2018, Alibaba Group Holding Limited
|
|
//
|
|
|
|
#include "TfUtils.hpp"
|
|
#include "tfOpConverter.hpp"
|
|
|
|
#include "graph.pb.h"
|
|
|
|
DECLARE_OP_CONVERTER(CropAndResize);
|
|
|
|
MNN::OpType CropAndResize::opType() {
|
|
return MNN::OpType_CropAndResize;
|
|
}
|
|
MNN::OpParameter CropAndResize::type() {
|
|
return MNN::OpParameter_CropAndResize;
|
|
}
|
|
|
|
void CropAndResize::run(MNN::OpT *dstOp, TmpNode *srcNode) {
|
|
auto CropAndResize = new MNN::CropAndResizeT;
|
|
tensorflow::AttrValue value;
|
|
|
|
if (find_attr_value(srcNode->tfNode, "extrapolation_value", value)) {
|
|
CropAndResize->extrapolationValue = value.f();
|
|
}
|
|
|
|
if (find_attr_value(srcNode->tfNode, "method", value)) {
|
|
if (value.s() == "bilinear") {
|
|
CropAndResize->method = MNN::CropAndResizeMethod_BILINEAR;
|
|
} else {
|
|
CropAndResize->method = MNN::CropAndResizeMethod_NEAREST;
|
|
}
|
|
}
|
|
|
|
dstOp->main.value = CropAndResize;
|
|
}
|
|
|
|
REGISTER_CONVERTER(CropAndResize, CropAndResize);
|