Fix binary compatibility of opencv_gpu
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committed by
Andrey Kamaev

parent
ed51162568
commit
e5437e5486
@@ -527,7 +527,6 @@ CV_EXPORTS void pow(const GpuMat& src, double power, GpuMat& dst, Stream& stream
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//! compares elements of two arrays (c = a <cmpop> b)
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CV_EXPORTS void compare(const GpuMat& a, const GpuMat& b, GpuMat& c, int cmpop, Stream& stream = Stream::Null());
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CV_EXPORTS void compare(const GpuMat& a, Scalar sc, GpuMat& c, int cmpop, Stream& stream = Stream::Null());
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//! performs per-elements bit-wise inversion
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CV_EXPORTS void bitwise_not(const GpuMat& src, GpuMat& dst, const GpuMat& mask=GpuMat(), Stream& stream = Stream::Null());
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@@ -1325,10 +1324,12 @@ protected:
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////////////////////////////////// BruteForceMatcher //////////////////////////////////
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class CV_EXPORTS BFMatcher_GPU
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class CV_EXPORTS BruteForceMatcher_GPU_base
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{
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public:
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explicit BFMatcher_GPU(int norm = cv::NORM_L2);
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enum DistType {L1Dist = 0, L2Dist, HammingDist};
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explicit BruteForceMatcher_GPU_base(DistType distType = L2Dist);
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// Add descriptors to train descriptor collection
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void add(const std::vector<GpuMat>& descCollection);
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@@ -1470,7 +1471,7 @@ public:
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void radiusMatch(const GpuMat& query, std::vector< std::vector<DMatch> >& matches, float maxDistance,
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const std::vector<GpuMat>& masks = std::vector<GpuMat>(), bool compactResult = false);
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int norm;
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DistType distType;
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private:
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std::vector<GpuMat> trainDescCollection;
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@@ -1480,24 +1481,24 @@ template <class Distance>
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class CV_EXPORTS BruteForceMatcher_GPU;
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template <typename T>
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class CV_EXPORTS BruteForceMatcher_GPU< L1<T> > : public BFMatcher_GPU
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class CV_EXPORTS BruteForceMatcher_GPU< L1<T> > : public BruteForceMatcher_GPU_base
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{
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public:
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explicit BruteForceMatcher_GPU() : BFMatcher_GPU(NORM_L1) {}
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explicit BruteForceMatcher_GPU(L1<T> /*d*/) : BFMatcher_GPU(NORM_L1) {}
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explicit BruteForceMatcher_GPU() : BruteForceMatcher_GPU_base(L1Dist) {}
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explicit BruteForceMatcher_GPU(L1<T> /*d*/) : BruteForceMatcher_GPU_base(L1Dist) {}
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};
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template <typename T>
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class CV_EXPORTS BruteForceMatcher_GPU< L2<T> > : public BFMatcher_GPU
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class CV_EXPORTS BruteForceMatcher_GPU< L2<T> > : public BruteForceMatcher_GPU_base
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{
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public:
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explicit BruteForceMatcher_GPU() : BFMatcher_GPU(NORM_L2) {}
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explicit BruteForceMatcher_GPU(L2<T> /*d*/) : BFMatcher_GPU(NORM_L2) {}
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explicit BruteForceMatcher_GPU() : BruteForceMatcher_GPU_base(L2Dist) {}
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explicit BruteForceMatcher_GPU(L2<T> /*d*/) : BruteForceMatcher_GPU_base(L2Dist) {}
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};
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template <> class CV_EXPORTS BruteForceMatcher_GPU< Hamming > : public BFMatcher_GPU
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template <> class CV_EXPORTS BruteForceMatcher_GPU< Hamming > : public BruteForceMatcher_GPU_base
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{
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public:
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explicit BruteForceMatcher_GPU() : BFMatcher_GPU(NORM_HAMMING) {}
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explicit BruteForceMatcher_GPU(Hamming /*d*/) : BFMatcher_GPU(NORM_HAMMING) {}
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explicit BruteForceMatcher_GPU() : BruteForceMatcher_GPU_base(HammingDist) {}
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explicit BruteForceMatcher_GPU(Hamming /*d*/) : BruteForceMatcher_GPU_base(HammingDist) {}
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};
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////////////////////////////////// CascadeClassifier_GPU //////////////////////////////////////////
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@@ -1514,7 +1515,7 @@ public:
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void release();
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/* returns number of detected objects */
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int detectMultiScale(const GpuMat& image, GpuMat& objectsBuf, double scaleFactor = 1.2, int minNeighbors = 4, Size minSize = Size());
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int detectMultiScale(const GpuMat& image, GpuMat& objectsBuf, double scaleFactor = 1.1, int minNeighbors = 4, Size minSize = Size());
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bool findLargestObject;
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bool visualizeInPlace;
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@@ -1522,14 +1523,12 @@ public:
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Size getClassifierSize() const;
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private:
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struct CascadeClassifierImpl;
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CascadeClassifierImpl* impl;
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struct HaarCascade;
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struct LbpCascade;
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friend class CascadeClassifier_GPU_LBP;
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public:
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int detectMultiScale(const GpuMat& image, GpuMat& objectsBuf, Size maxObjectSize, Size minSize = Size(), double scaleFactor = 1.1, int minNeighbors = 4);
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};
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////////////////////////////////// SURF //////////////////////////////////////////
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@@ -1559,12 +1558,12 @@ public:
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int descriptorSize() const;
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//! upload host keypoints to device memory
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static void uploadKeypoints(const vector<KeyPoint>& keypoints, GpuMat& keypointsGPU);
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void uploadKeypoints(const vector<KeyPoint>& keypoints, GpuMat& keypointsGPU);
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//! download keypoints from device to host memory
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static void downloadKeypoints(const GpuMat& keypointsGPU, vector<KeyPoint>& keypoints);
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void downloadKeypoints(const GpuMat& keypointsGPU, vector<KeyPoint>& keypoints);
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//! download descriptors from device to host memory
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static void downloadDescriptors(const GpuMat& descriptorsGPU, vector<float>& descriptors);
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void downloadDescriptors(const GpuMat& descriptorsGPU, vector<float>& descriptors);
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//! finds the keypoints using fast hessian detector used in SURF
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//! supports CV_8UC1 images
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@@ -1631,10 +1630,10 @@ public:
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void operator ()(const GpuMat& image, const GpuMat& mask, std::vector<KeyPoint>& keypoints);
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//! download keypoints from device to host memory
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static void downloadKeypoints(const GpuMat& d_keypoints, std::vector<KeyPoint>& keypoints);
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void downloadKeypoints(const GpuMat& d_keypoints, std::vector<KeyPoint>& keypoints);
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//! convert keypoints to KeyPoint vector
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static void convertKeypoints(const Mat& h_keypoints, std::vector<KeyPoint>& keypoints);
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void convertKeypoints(const Mat& h_keypoints, std::vector<KeyPoint>& keypoints);
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//! release temporary buffer's memory
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void release();
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@@ -1705,9 +1704,10 @@ public:
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void operator()(const GpuMat& image, const GpuMat& mask, GpuMat& keypoints, GpuMat& descriptors);
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//! download keypoints from device to host memory
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static void downloadKeyPoints(const GpuMat& d_keypoints, std::vector<KeyPoint>& keypoints);
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void downloadKeyPoints(GpuMat& d_keypoints, std::vector<KeyPoint>& keypoints);
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//! convert keypoints to KeyPoint vector
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static void convertKeyPoints(const Mat& d_keypoints, std::vector<KeyPoint>& keypoints);
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void convertKeyPoints(Mat& d_keypoints, std::vector<KeyPoint>& keypoints);
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//! returns the descriptor size in bytes
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inline int descriptorSize() const { return kBytes; }
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@@ -1855,28 +1855,62 @@ inline GoodFeaturesToTrackDetector_GPU::GoodFeaturesToTrackDetector_GPU(int maxC
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class CV_EXPORTS PyrLKOpticalFlow
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{
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public:
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PyrLKOpticalFlow();
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PyrLKOpticalFlow()
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{
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winSize = Size(21, 21);
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maxLevel = 3;
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iters = 30;
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derivLambda = 0.5;
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useInitialFlow = false;
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minEigThreshold = 1e-4f;
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getMinEigenVals = false;
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isDeviceArch11_ = !DeviceInfo().supports(FEATURE_SET_COMPUTE_12);
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}
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void sparse(const GpuMat& prevImg, const GpuMat& nextImg, const GpuMat& prevPts, GpuMat& nextPts,
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GpuMat& status, GpuMat* err = 0);
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void dense(const GpuMat& prevImg, const GpuMat& nextImg, GpuMat& u, GpuMat& v, GpuMat* err = 0);
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void releaseMemory();
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Size winSize;
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int maxLevel;
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int iters;
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double derivLambda;
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bool useInitialFlow;
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float minEigThreshold;
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bool getMinEigenVals;
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void releaseMemory()
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{
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dx_calcBuf_.release();
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dy_calcBuf_.release();
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prevPyr_.clear();
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nextPyr_.clear();
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dx_buf_.release();
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dy_buf_.release();
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uPyr_.clear();
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vPyr_.clear();
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}
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private:
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void calcSharrDeriv(const GpuMat& src, GpuMat& dx, GpuMat& dy);
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void buildImagePyramid(const GpuMat& img0, vector<GpuMat>& pyr, bool withBorder);
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GpuMat dx_calcBuf_;
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GpuMat dy_calcBuf_;
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vector<GpuMat> prevPyr_;
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vector<GpuMat> nextPyr_;
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GpuMat buf_;
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GpuMat dx_buf_;
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GpuMat dy_buf_;
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GpuMat uPyr_[2];
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GpuMat vPyr_[2];
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vector<GpuMat> uPyr_;
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vector<GpuMat> vPyr_;
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bool isDeviceArch11_;
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};
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