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#include "mex.h"
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#include "gpu/mxGPUArray.h"
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#include "TV_texture.hpp"
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//mexcuda -output private/local_TV_mex private/TV_cuda_texture.cu private/local_TV_mex.cpp
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/**
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*
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*-----------------------------------------------------------------------*
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| |
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| Except where otherwise noted, this work is licensed under a |
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| Creative Commons Attribution-NonCommercial-ShareAlike 4.0 |
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| International (CC BY-NC-SA 4.0) license. |
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| |
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| Copyright (c) 2017 by Paul Scherrer Institute (http://www.psi.ch) |
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| |
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| Author: CXS group, PSI |
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*-----------------------------------------------------------------------*
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You may use this code with the following provisions:
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If the code is fully or partially redistributed, or rewritten in another
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computing language this notice should be included in the redistribution.
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If this code, or subfunctions or parts of it, is used for research in a
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publication or if it is fully or partially rewritten for another
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computing language the authors and institution should be acknowledged
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in written form in the publication: “Data processing was carried out
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using the “cSAXS matlab package” developed by the CXS group,
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Paul Scherrer Institut, Switzerland.”
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Variations on the latter text can be incorporated upon discussion with
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the CXS group if needed to more specifically reflect the use of the package
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for the published work.
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A publication that focuses on describing features, or parameters, that
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are already existing in the code should be first discussed with the
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authors.
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This code and subroutines are part of a continuous development, they
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are provided “as they are” without guarantees or liability on part
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of PSI or the authors. It is the user responsibility to ensure its
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*
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* MEX gateway
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*/
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void mexFunction(int nlhs , mxArray *plhs[],
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int nrhs, mxArray const *prhs[])
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{
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char const * const errId = "parallel:gpu:mexGPUExample:InvalidInput";
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char const * const errMsg = "Invalid input to MEX file.";
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// Initialize the MathWorks GPU API.
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mxInitGPU();
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if (nrhs!=5) {
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mexPrintf("Wrong number of inputs\n");
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mexErrMsgIdAndTxt(errId, errMsg);
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}
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const float dt = (float)mxGetScalar(prhs[1]);
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const float tau = (float)mxGetScalar(prhs[2]);
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const int Niter = (int)mxGetScalar(prhs[3]);
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const int UseChambolle = (int)mxGetScalar(prhs[4]);
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/* allocate output image field */
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mxGPUArray * m_Img_new = mxGPUCopyFromMxArray(prhs[0]);
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if ((mxGPUGetClassID(m_Img_new) != mxSINGLE_CLASS)) {
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mexPrintf("m_Img_new\n");
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mexErrMsgIdAndTxt(errId, errMsg);
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}
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float * p_Img_new = (float *)mxGPUGetData(m_Img_new);
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mwSize const * dimensions = mxGPUGetDimensions(m_Img_new);
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mwSize Ndim = mxGPUGetNumberOfDimensions(m_Img_new);
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int M = (int)dimensions[0];
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int N = (int)dimensions[1];
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int O = Ndim > 2 ? (int)dimensions[2] : 1;
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mxGPUArray * mXi[3] ;
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if (UseChambolle ) {
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/* allocate Xi field */
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float * Xi[3] ;
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mwSize xiSize[3] = {M,N,O};
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for( int i = 0; i < 3; i++) {
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mXi[i] = mxGPUCreateGPUArray(3,
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xiSize,
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mxSINGLE_CLASS,
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mxREAL,
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MX_GPU_INITIALIZE_VALUES);
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Xi[i] = (float *)mxGPUGetData(mXi[i]);
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}
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//mexPrintf("local_TV_chambolle_init\n");
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local_TV_chambolle_init( p_Img_new, Xi, dt, tau, M, N, O, Niter);
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} else {
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// mexPrintf("local_TV_init\n");
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local_TV_init( p_Img_new, dt, tau, N, M, O, Niter);
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}
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checkLastError("After iteration");
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//mexcuda -output utils3D\local_TV_mex utils3D\TV_cuda_texture.cu utils3D\local_TV_mex.cpp
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plhs[0] = mxGPUCreateMxArrayOnGPU(m_Img_new);
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mxGPUDestroyGPUArray(m_Img_new);
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if (UseChambolle )
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for( int i = 0; i < 3; i++)
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mxGPUDestroyGPUArray( mXi[i]);
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}
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