Add cuda sub2ind and unitest.

src/Function2D.cu

@@ -1444,4 +1444,58 @@ void Aurora::ifftshift(CudaMatrix &aMatrix){
             aMatrix.getDimSize(0) * aMatrix.getValueType());
         cudaFree(data);
     }
+}
+
+__global__ void sub2indKernel(float* aVMatrixSize, float** aindexMatrix, float* aOutputData, unsigned int aRowSize, unsigned int aColumnSize)
+{
+    unsigned int idx = blockIdx.x * blockDim.x + threadIdx.x;
+    if(idx < aRowSize)
+    {
+        aOutputData[idx] = 0;
+        for(unsigned int i=aColumnSize; i>0; --i)
+        {
+            unsigned int subSize = 1;
+            for(unsigned int j=0; j<i-1; ++j)
+            {
+                
+                subSize *= aVMatrixSize[j];
+            }
+            aOutputData[idx] += (aindexMatrix[i-1][idx] - 1) * subSize;
+        }
+        aOutputData[idx] += 1;
+    }
+}
+
+CudaMatrix Aurora::sub2ind(const CudaMatrix &aVMatrixSize, std::vector<CudaMatrix> aSliceIdxs)
+{
+    if (aSliceIdxs.size() != aVMatrixSize.getDataSize())
+    {
+        std::cerr<<"cuda sub2ind size not match"<<std::endl;
+        return CudaMatrix();
+    }
+    if (aSliceIdxs.size() == 0)
+    {
+        std::cerr<<"cuda sub2ind no index need calc!"<<std::endl;
+        return CudaMatrix();
+    }
+
+    unsigned int indexMatrixRows = aSliceIdxs.begin()->getDataSize();
+    unsigned int indexMatrixColumns = aSliceIdxs.size();
+    float** indexMatrixData = nullptr;
+    float** tempPointer = new float*[indexMatrixColumns];
+    cudaMalloc((void **)&indexMatrixData, sizeof(float*) * indexMatrixColumns);
+    for(unsigned int i=0; i<indexMatrixColumns; ++i)
+    {
+        tempPointer[i] = aSliceIdxs[i].getData();
+    }
+    cudaMemcpy(indexMatrixData, tempPointer, sizeof(float*) * indexMatrixColumns, cudaMemcpyHostToDevice);
+
+    float* data = nullptr;
+    cudaMalloc((void **)&data, sizeof(float) * indexMatrixRows);
+    int blocksPerGrid = (indexMatrixRows + THREADS_PER_BLOCK - 1) / THREADS_PER_BLOCK;
+    sub2indKernel<<<blocksPerGrid, THREADS_PER_BLOCK>>>(aVMatrixSize.getData(), indexMatrixData, data, indexMatrixRows, indexMatrixColumns);
+    cudaDeviceSynchronize();
+    cudaFree(indexMatrixData);
+    delete[] tempPointer;
+    return CudaMatrix::fromRawData(data, indexMatrixRows);
 }

src/Function2D.cuh

@@ -59,6 +59,16 @@ namespace Aurora
 
     void fftshift(CudaMatrix &aMatrix);
     void ifftshift(CudaMatrix &aMatrix);
+
+    /**
+     * 转换下标为索引值
+     * @attention 索引值按照其实为1与matlab对应，在C++中使用需要-1
+     * @param aVMatrixSize
+     * @param aSliceIdxs
+     * @return
+     */
+    CudaMatrix sub2ind(const CudaMatrix &aVMatrixSize, std::vector<CudaMatrix> aSliceIdxs);
+
 }
 
 #endif // __FUNCTION2D_CUDA_H__

test/Function2D_Cuda_Test.cpp

@@ -843,8 +843,8 @@ TEST_F(Function2D_Cuda_Test, prod) {
         EXPECT_FLOAT_AE(result1[i], result2[i]);
     }
 
-    auto matrixHostComplex = Aurora::Matrix::fromRawData(new float[40], 4,5, 1,Aurora::Complex);
-    for(unsigned int i=0; i<40;++i)
+    auto matrixHostComplex = Aurora::Matrix::fromRawData(new float[20], 2,5, 1,Aurora::Complex);
+    for(unsigned int i=0; i<20;++i)
     {
         matrixHost[i] = i + 1;
     }
@@ -858,4 +858,22 @@ TEST_F(Function2D_Cuda_Test, prod) {
     {
         EXPECT_FLOAT_AE(result1[i], result2[i]);
     }
+}
+
+TEST_F(Function2D_Cuda_Test, sub2ind) {
+    float* dI1= new float[4]{1,2,1,2};
+    Aurora::Matrix I1(std::shared_ptr<float>(dI1,std::default_delete<float[]>()),std::vector<int>{4});
+    float* dI2= new float[4]{2,2,1,1};
+    Aurora::Matrix I2(std::shared_ptr<float>(dI2,std::default_delete<float[]>()),std::vector<int>{4});
+    float* dI4= new float[4]{1,1,2,2};
+    Aurora::Matrix I3(std::shared_ptr<float>(dI4,std::default_delete<float[]>()),std::vector<int>{4});
+    float* dsz= new float[3]{2,2,2};
+    Aurora::Matrix sz(std::shared_ptr<float>(dsz,std::default_delete<float[]>()),std::vector<int>{3});
+    auto result1 = Aurora::sub2ind(sz, {I1, I2, I3});
+    auto result2 = Aurora::sub2ind(sz.toDeviceMatrix(), {I1.toDeviceMatrix(), I2.toDeviceMatrix(), I3.toDeviceMatrix()}).toHostMatrix();
+    EXPECT_FLOAT_EQ(result1.getDataSize(), result2.getDataSize());
+    for(unsigned int i=0; i<result1.getDataSize(); ++i)
+    {
+        EXPECT_FLOAT_EQ(result1[i], result2[i]);
+    }
 }