Aurora/src/Function1D.cu

#include "CudaMatrix.h"
#include "Function1D.cuh"
#include "Matrix.h"

#include <cmath>
#include <thrust/device_vector.h>
#include <thrust/transform.h>
#include <thrust/iterator/constant_iterator.h>
#include <cuda_runtime.h>

using namespace Aurora;

namespace
{
    const int THREADS_PER_BLOCK = 256;
}

__global__ void complexKernel(float* aInputData, float* aOutput, unsigned int aSize)
{
    unsigned int idx = blockIdx.x * blockDim.x + threadIdx.x;
    if (idx < aSize)
    {
        aOutput[2*idx] = aInputData[idx];
        aOutput[2*idx + 1] = 0;
    }
}

CudaMatrix Aurora::complex(const CudaMatrix& aMatrix)
{
    if(aMatrix.isComplex())
    {
        return CudaMatrix();
    }

    size_t size = aMatrix.getDataSize();
    float* data = nullptr;
    cudaMalloc((void**)&data, sizeof(float) * aMatrix.getDataSize() * Aurora::Complex);
    int blocksPerGrid = (size + THREADS_PER_BLOCK - 1) / THREADS_PER_BLOCK;
    complexKernel<<<blocksPerGrid, THREADS_PER_BLOCK>>>(aMatrix.getData(), data, size);
    cudaDeviceSynchronize();
    return Aurora::CudaMatrix::fromRawData(data, aMatrix.getDimSize(0), aMatrix.getDimSize(1), aMatrix.getDimSize(2), Aurora::Complex);
}

__global__ void realKernel(float* aInputData, float* aOutput, unsigned int aSize)
{
    unsigned int idx = blockIdx.x * blockDim.x + threadIdx.x;
    if (idx < aSize)
    {
        aOutput[idx] = aInputData[idx*2];
    }
}

CudaMatrix Aurora::real(const CudaMatrix& aMatrix)
{
    if(!aMatrix.isComplex())
    {
        return CudaMatrix();
    }

    size_t size = aMatrix.getDataSize();
    float* data = nullptr;
    cudaMalloc((void**)&data, sizeof(float) * aMatrix.getDataSize());
    int blocksPerGrid = (size + THREADS_PER_BLOCK - 1) / THREADS_PER_BLOCK;
    realKernel<<<blocksPerGrid, THREADS_PER_BLOCK>>>(aMatrix.getData(), data, size);
    cudaDeviceSynchronize();
    return Aurora::CudaMatrix::fromRawData(data, aMatrix.getDimSize(0), aMatrix.getDimSize(1), aMatrix.getDimSize(2), Aurora::Normal);
}

__global__ void imageKernel(float* aInputData, float* aOutput, unsigned int aSize)
{
    unsigned int idx = blockIdx.x * blockDim.x + threadIdx.x;
    if (idx < aSize)
    {
        aOutput[idx] = aInputData[idx*2 + 1];
    }
}

CudaMatrix Aurora::imag(const CudaMatrix& aMatrix)
{
    if(!aMatrix.isComplex())
    {
        return CudaMatrix();
    }

    size_t size = aMatrix.getDataSize();
    float* data = nullptr;
    cudaMalloc((void**)&data, sizeof(float) * aMatrix.getDataSize());
    int blocksPerGrid = (size + THREADS_PER_BLOCK - 1) / THREADS_PER_BLOCK;
    imageKernel<<<blocksPerGrid, THREADS_PER_BLOCK>>>(aMatrix.getData(), data, size);
    cudaDeviceSynchronize();
    return Aurora::CudaMatrix::fromRawData(data, aMatrix.getDimSize(0), aMatrix.getDimSize(1), aMatrix.getDimSize(2), Aurora::Normal);
}

__global__ void ceilKernel(float* aInputData, float* aOutput, unsigned int aSize)
{
    unsigned int idx = blockIdx.x * blockDim.x + threadIdx.x;
    if (idx < aSize)
    {
        aOutput[idx] = std::ceil(aInputData[idx]);
    }
}

CudaMatrix Aurora::ceil(const CudaMatrix& aMatrix)
{
    size_t size = aMatrix.getDataSize() * aMatrix.getValueType();
    float* data = nullptr;
    cudaMalloc((void**)&data, sizeof(float) * size);
    int blocksPerGrid = (size + THREADS_PER_BLOCK - 1) / THREADS_PER_BLOCK;
    ceilKernel<<<blocksPerGrid, THREADS_PER_BLOCK>>>(aMatrix.getData(), data, size);
    cudaDeviceSynchronize();
    return Aurora::CudaMatrix::fromRawData(data, aMatrix.getDimSize(0), aMatrix.getDimSize(1), aMatrix.getDimSize(2), aMatrix.getValueType());
}

CudaMatrix Aurora::ceil(const CudaMatrix&& aMatrix)
{
    size_t size = aMatrix.getDataSize() * aMatrix.getValueType();
    float* data = nullptr;
    cudaMalloc((void**)&data, sizeof(float) * size);
    int blocksPerGrid = (size + THREADS_PER_BLOCK - 1) / THREADS_PER_BLOCK;
    ceilKernel<<<blocksPerGrid, THREADS_PER_BLOCK>>>(aMatrix.getData(), data, size);
    cudaDeviceSynchronize();
    return Aurora::CudaMatrix::fromRawData(data, aMatrix.getDimSize(0), aMatrix.getDimSize(1), aMatrix.getDimSize(2), aMatrix.getValueType());
}

__global__ void roundKernel(float* aInputData, float* aOutput, unsigned int aSize)
{
    unsigned int idx = blockIdx.x * blockDim.x + threadIdx.x;
    if (idx < aSize)
    {
        aOutput[idx] = std::round(aInputData[idx]);
    }
}

CudaMatrix Aurora::round(const CudaMatrix& aMatrix)
{
    size_t size = aMatrix.getDataSize() * aMatrix.getValueType();
    float* data = nullptr;
    cudaMalloc((void**)&data, sizeof(float) * size);
    int blocksPerGrid = (size + THREADS_PER_BLOCK - 1) / THREADS_PER_BLOCK;
    roundKernel<<<blocksPerGrid, THREADS_PER_BLOCK>>>(aMatrix.getData(), data, size);
    cudaDeviceSynchronize();
    return Aurora::CudaMatrix::fromRawData(data, aMatrix.getDimSize(0), aMatrix.getDimSize(1), aMatrix.getDimSize(2), aMatrix.getValueType());
}

CudaMatrix Aurora::round(const CudaMatrix&& aMatrix)
{
    size_t size = aMatrix.getDataSize() * aMatrix.getValueType();
    float* data = nullptr;
    cudaMalloc((void**)&data, sizeof(float) * size);
    int blocksPerGrid = (size + THREADS_PER_BLOCK - 1) / THREADS_PER_BLOCK;
    roundKernel<<<blocksPerGrid, THREADS_PER_BLOCK>>>(aMatrix.getData(), data, size);
    cudaDeviceSynchronize();
    return Aurora::CudaMatrix::fromRawData(data, aMatrix.getDimSize(0), aMatrix.getDimSize(1), aMatrix.getDimSize(2), aMatrix.getValueType());
}

__global__ void floorKernel(float* aInputData, float* aOutput, unsigned int aSize)
{
    unsigned int idx = blockIdx.x * blockDim.x + threadIdx.x;
    if (idx < aSize)
    {
        aOutput[idx] = std::floor(aInputData[idx]);
    }
}

CudaMatrix Aurora::floor(const CudaMatrix& aMatrix)
{
    size_t size = aMatrix.getDataSize() * aMatrix.getValueType();
    float* data = nullptr;
    cudaMalloc((void**)&data, sizeof(float) * size);
    int blocksPerGrid = (size + THREADS_PER_BLOCK - 1) / THREADS_PER_BLOCK;
    floorKernel<<<blocksPerGrid, THREADS_PER_BLOCK>>>(aMatrix.getData(), data, size);
    cudaDeviceSynchronize();
    return Aurora::CudaMatrix::fromRawData(data, aMatrix.getDimSize(0), aMatrix.getDimSize(1), aMatrix.getDimSize(2), aMatrix.getValueType());
}

CudaMatrix Aurora::floor(const CudaMatrix&& aMatrix)
{
    size_t size = aMatrix.getDataSize() * aMatrix.getValueType();
    float* data = nullptr;
    cudaMalloc((void**)&data, sizeof(float) * size);
    int blocksPerGrid = (size + THREADS_PER_BLOCK - 1) / THREADS_PER_BLOCK;
    floorKernel<<<blocksPerGrid, THREADS_PER_BLOCK>>>(aMatrix.getData(), data, size);
    cudaDeviceSynchronize();
    return Aurora::CudaMatrix::fromRawData(data, aMatrix.getDimSize(0), aMatrix.getDimSize(1), aMatrix.getDimSize(2), aMatrix.getValueType());
}

__global__ void sqrtKernel(float* aInputData, float* aOutput, unsigned int aSize)
{
    unsigned int idx = blockIdx.x * blockDim.x + threadIdx.x;
    if (idx < aSize)
    {
        aOutput[idx] = std::sqrt(aInputData[idx]);
    }
}

CudaMatrix Aurora::sqrt(const CudaMatrix& aMatrix)
{
    if(aMatrix.getValueType() == Aurora::Complex)
    {
        std::cerr<<"sqrt not support complex"<<std::endl;
        return CudaMatrix();
    }
    size_t size = aMatrix.getDataSize() * aMatrix.getValueType();
    float* data = nullptr;
    cudaMalloc((void**)&data, sizeof(float) * size);
    int blocksPerGrid = (size + THREADS_PER_BLOCK - 1) / THREADS_PER_BLOCK;
    sqrtKernel<<<blocksPerGrid, THREADS_PER_BLOCK>>>(aMatrix.getData(), data, size);
    cudaDeviceSynchronize();
    return Aurora::CudaMatrix::fromRawData(data, aMatrix.getDimSize(0), aMatrix.getDimSize(1), aMatrix.getDimSize(2), aMatrix.getValueType());
}

CudaMatrix Aurora::sqrt(const CudaMatrix&& aMatrix)
{
    if(aMatrix.getValueType() == Aurora::Complex)
    {
        std::cerr<<"sqrt not support complex"<<std::endl;
        return CudaMatrix();
    }
    size_t size = aMatrix.getDataSize() * aMatrix.getValueType();
    float* data = nullptr;
    cudaMalloc((void**)&data, sizeof(float) * size);
    int blocksPerGrid = (size + THREADS_PER_BLOCK - 1) / THREADS_PER_BLOCK;
    sqrtKernel<<<blocksPerGrid, THREADS_PER_BLOCK>>>(aMatrix.getData(), data, size);
    cudaDeviceSynchronize();
    return Aurora::CudaMatrix::fromRawData(data, aMatrix.getDimSize(0), aMatrix.getDimSize(1), aMatrix.getDimSize(2), aMatrix.getValueType());
}

__global__ void absKernel(float* aInputData, float* aOutput, unsigned int aSize, bool aIsComplex)
{
    unsigned int idx = blockIdx.x * blockDim.x + threadIdx.x;
    if (idx < aSize)
    {
        if(aIsComplex)
        {
            aOutput[idx] = sqrt(aInputData[2*idx] * aInputData[2*idx] +  aInputData[2*idx+1] * aInputData[2*idx+1]);
        }
        else
        {
            aOutput[idx] = abs(aInputData[idx]);
        }       
    }
}

CudaMatrix Aurora::abs(const CudaMatrix& aMatrix)
{
    size_t size = aMatrix.getDataSize();
    float* data = nullptr;
    cudaMalloc((void**)&data, sizeof(float) * size);
    int blocksPerGrid = (size + THREADS_PER_BLOCK - 1) / THREADS_PER_BLOCK;
    absKernel<<<blocksPerGrid, THREADS_PER_BLOCK>>>(aMatrix.getData(), data, size, aMatrix.isComplex());
    cudaDeviceSynchronize();
    return Aurora::CudaMatrix::fromRawData(data, aMatrix.getDimSize(0), aMatrix.getDimSize(1), aMatrix.getDimSize(2));
}

CudaMatrix Aurora::abs(const CudaMatrix&& aMatrix)
{
    size_t size = aMatrix.getDataSize();
    float* data = nullptr;
    cudaMalloc((void**)&data, sizeof(float) * size);
    int blocksPerGrid = (size + THREADS_PER_BLOCK - 1) / THREADS_PER_BLOCK;
    absKernel<<<blocksPerGrid, THREADS_PER_BLOCK>>>(aMatrix.getData(), data, size, aMatrix.isComplex());
    cudaDeviceSynchronize();
    return Aurora::CudaMatrix::fromRawData(data, aMatrix.getDimSize(0), aMatrix.getDimSize(1), aMatrix.getDimSize(2));
}

__global__ void signKernel(float* aInputData, float* aOutput, unsigned int aSize, bool aIsComplex)
{
    unsigned int idx = blockIdx.x * blockDim.x + threadIdx.x;
    if (idx < aSize)
    {
        if(aIsComplex)
        {
            float absValue = sqrt(aInputData[2*idx] * aInputData[2*idx] + aInputData[2*idx + 1] * aInputData[2*idx + 1]);
            aOutput[2*idx] = aInputData[2*idx] / absValue;
            aOutput[2*idx + 1] = aInputData[2*idx + 1] / absValue;
            return;
        }

        if(aInputData[idx] < 0)
        {
            aOutput[idx] = -1;
        }
        else if(aInputData[idx] > 0)
        {
            aOutput[idx] = 1;
        }
        else
        {
            aOutput[idx] = 0;
        }
    }
}

CudaMatrix Aurora::sign(const CudaMatrix& aMatrix)
{
    size_t size = aMatrix.getDataSize() * aMatrix.getValueType();
    float* data = nullptr;
    cudaMalloc((void**)&data, sizeof(float) * size);
    int blocksPerGrid = (size + THREADS_PER_BLOCK - 1) / THREADS_PER_BLOCK;
    signKernel<<<blocksPerGrid, THREADS_PER_BLOCK>>>(aMatrix.getData(), data, aMatrix.getDataSize(), aMatrix.isComplex());
    cudaDeviceSynchronize();
    return Aurora::CudaMatrix::fromRawData(data, aMatrix.getDimSize(0), aMatrix.getDimSize(1), aMatrix.getDimSize(2), aMatrix.getValueType());
}

CudaMatrix Aurora::sign(const CudaMatrix&& aMatrix)
{
    size_t size = aMatrix.getDataSize() * aMatrix.getValueType();
    float* data = nullptr;
    cudaMalloc((void**)&data, sizeof(float) * size);
    int blocksPerGrid = (size + THREADS_PER_BLOCK - 1) / THREADS_PER_BLOCK;
    signKernel<<<blocksPerGrid, THREADS_PER_BLOCK>>>(aMatrix.getData(), data, aMatrix.getDataSize(), aMatrix.isComplex());
    cudaDeviceSynchronize();
    return Aurora::CudaMatrix::fromRawData(data, aMatrix.getDimSize(0), aMatrix.getDimSize(1), aMatrix.getDimSize(2), aMatrix.getValueType());
}

__global__ void repMatKernel(float* aInputData, float* aOutput, unsigned int aInputSize, bool aIsComplex)
{
    unsigned int idX = blockIdx.x * blockDim.x + threadIdx.x;
    unsigned int idY = blockIdx.y * blockDim.y + threadIdx.y;
    unsigned int idZ = blockIdx.z * blockDim.z + threadIdx.z;
    if(aIsComplex)
    {
        unsigned int outPutIndex = 2 * (idZ * blockDim.x * blockDim.y * gridDim.x * gridDim.y + idY * blockDim.x * gridDim.x + idX);
        unsigned int inPutIndex = 2 * (threadIdx.y * blockDim.x + threadIdx.x);
        aOutput[outPutIndex] = aInputData[inPutIndex];
        aOutput[outPutIndex + 1] = aInputData[inPutIndex + 1];
    }
    else
    {
        aOutput[idZ * blockDim.x * blockDim.y * gridDim.x * gridDim.y + idY * blockDim.x * gridDim.x + idX] = aInputData[threadIdx.y * blockDim.x + threadIdx.x];
    }
}

CudaMatrix Aurora::repmat(const CudaMatrix& aMatrix,int aRowTimes, int aColumnTimes)
{
    if(aRowTimes < 1 || aColumnTimes < 1 || aMatrix.getDims() > 2 || aMatrix.isNull())
    {
        return CudaMatrix();
    }
    
    dim3 blockSize(aMatrix.getDimSize(0), aMatrix.getDimSize(1), 1);
    dim3 gridSize(aRowTimes, aColumnTimes, 1);

    size_t size = aMatrix.getDataSize() * aMatrix.getValueType() * aRowTimes * aColumnTimes;
    float* data = nullptr;
    cudaMalloc((void**)&data, sizeof(float) * size);
    repMatKernel<<<gridSize, blockSize>>>(aMatrix.getData(), data, aMatrix.getDataSize(), aMatrix.isComplex());
    cudaDeviceSynchronize();
    return Aurora::CudaMatrix::fromRawData(data, aMatrix.getDimSize(0) * aRowTimes, aMatrix.getDimSize(1) * aColumnTimes, aMatrix.getDimSize(2), aMatrix.getValueType());
}

CudaMatrix Aurora::repmat(const CudaMatrix& aMatrix,int aRowTimes, int aColumnTimes, int aSliceTimes)
{
    if(aRowTimes < 1 || aColumnTimes < 1 || aMatrix.getDims() > 2 || aMatrix.isNull())
    {
        return CudaMatrix();
    }

    dim3 blockSize(aMatrix.getDimSize(0), aMatrix.getDimSize(1), 1);
    dim3 gridSize(aRowTimes, aColumnTimes, aSliceTimes);

    size_t size = aMatrix.getDataSize() * aMatrix.getValueType() * aRowTimes * aColumnTimes * aSliceTimes;
    float* data = nullptr;
    cudaMalloc((void**)&data, sizeof(float) * size);
    repMatKernel<<<gridSize, blockSize>>>(aMatrix.getData(), data, aMatrix.getDataSize(), aMatrix.isComplex());
    cudaDeviceSynchronize();
    return Aurora::CudaMatrix::fromRawData(data, aMatrix.getDimSize(0) * aRowTimes, aMatrix.getDimSize(1) * aColumnTimes, aMatrix.getDimSize(2) * aSliceTimes, aMatrix.getValueType());
}

__global__ void repMat3DKernel(float* aInputData, float* aOutput, unsigned int aInputSize, bool aIsComplex)
{
    unsigned int idX = blockIdx.x * blockDim.x + threadIdx.x;
    unsigned int idY = blockIdx.y * blockDim.y + threadIdx.y;
    unsigned int idZ = blockIdx.z * blockDim.z + threadIdx.z;
    if(aIsComplex)
    {
        unsigned int outPutIndex = 2 * (idZ * blockDim.x * blockDim.y * gridDim.x * gridDim.y + idY * blockDim.x * gridDim.x + idX);
        unsigned int inPutIndex = 2 * (threadIdx.z * blockDim.x * blockDim.y + threadIdx.y * blockDim.x + threadIdx.x);
        aOutput[outPutIndex] = aInputData[inPutIndex];
        aOutput[outPutIndex + 1] = aInputData[inPutIndex + 1];
    }
    else
    {
        aOutput[idZ * blockDim.x * blockDim.y * gridDim.x * gridDim.y + idY * blockDim.x * gridDim.x + idX] = aInputData[threadIdx.z * blockDim.x * blockDim.y + threadIdx.y * blockDim.x + threadIdx.x];
    }

}

CudaMatrix Aurora::repmat3d(const CudaMatrix& aMatrix,int aRowTimes, int aColumnTimes, int aSliceTimes)
{
    if(aRowTimes < 1 || aColumnTimes < 1 || aMatrix.getDims() < 3 || aMatrix.isNull())
    {
        return CudaMatrix();
    }

    dim3 blockSize(aMatrix.getDimSize(0), aMatrix.getDimSize(1), aMatrix.getDimSize(2));
    dim3 gridSize(aRowTimes, aColumnTimes, aSliceTimes);

    size_t size = aMatrix.getDataSize() * aMatrix.getValueType() * aRowTimes * aColumnTimes * aSliceTimes;
    float* data = nullptr;
    cudaMalloc((void**)&data, sizeof(float) * size);
    repMat3DKernel<<<gridSize, blockSize>>>(aMatrix.getData(), data, aMatrix.getDataSize(), aMatrix.isComplex());
    cudaDeviceSynchronize();
    return Aurora::CudaMatrix::fromRawData(data, aMatrix.getDimSize(0) * aRowTimes, aMatrix.getDimSize(1) * aColumnTimes, aMatrix.getDimSize(2) * aSliceTimes, aMatrix.getValueType());
}

__global__ void logKernel(float* aInputData, float* aOutput, unsigned int aInputSize, int aBaseNum)
{
    unsigned int idx = blockIdx.x * blockDim.x + threadIdx.x;
    if (idx < aInputSize)
    {
        if(aBaseNum == -1)
        {
            aOutput[idx] = logf(aInputData[idx]); 
        }
        else
        {
            float value = logf(aBaseNum);
            aOutput[idx] = logf(aInputData[idx]) / value; 
        }
    }
}

CudaMatrix Aurora::log(const CudaMatrix& aMatrix, int aBaseNum)
{
    if(aMatrix.getValueType() == Aurora::Complex)
    {
        std::cerr<<"log not support complex"<<std::endl;
        return CudaMatrix();
    }
    size_t size = aMatrix.getDataSize();
    float* data = nullptr;
    cudaMalloc((void**)&data, sizeof(float) * size);
    int blocksPerGrid = (size + THREADS_PER_BLOCK - 1) / THREADS_PER_BLOCK;
    logKernel<<<blocksPerGrid, THREADS_PER_BLOCK>>>(aMatrix.getData(), data, size, aBaseNum);
    cudaDeviceSynchronize();
    return Aurora::CudaMatrix::fromRawData(data, aMatrix.getDimSize(0), aMatrix.getDimSize(1), aMatrix.getDimSize(2), aMatrix.getValueType());
}