cuda-based-raytrace/src/hurricanedata/datareader.cu

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#include "datareader.h"
#include <netcdf>
#include <cassert>
using namespace std;
using namespace netCDF;
DataReader::DataReader(const std::string &path, std::string variableName):
filePathManager(path), variableName(variableName) { }
size_t DataReader::fileLength(size_t fileIndex) {
NcFile data(filePathManager.getPath(fileIndex), NcFile::read);
multimap<string, NcVar> vars = data.getVars();
NcVar var = vars.find(variableName)->second;
size_t length = 1;
for (NcDim dim: var.getDims()) {
length *= dim.getSize();
}
return length;
}
size_t DataReader::axisLength(size_t fileIndex, const std::string& axisName) {
NcFile data(filePathManager.getPath(fileIndex), NcFile::read);
multimap<string, NcVar> vars = data.getVars();
NcVar var = vars.find(axisName)->second;
assert(var.getDimCount() == 1);
netCDF::NcDim dim = var.getDim(0);
return dim.getSize();
}
template <typename T>
void DataReader::loadFile(T* dataOut, size_t fileIndex) {
loadFile(dataOut, fileIndex, variableName);
}
template <typename T>
void DataReader::loadFile(T* dataOut, size_t fileIndex, const string& varName) {
// TODO: We could make the index wrap around so that we dont lose data
// using fileIndex % NUMBEROFFILES here.
NcFile data(filePathManager.getPath(fileIndex), NcFile::read);
multimap<string, NcVar> vars = data.getVars();
NcVar var = vars.find(varName)->second;
var.getVar(dataOut);
}
template void DataReader::loadFile<float>(float* dataOut, size_t fileIndex, const string& variableName);
template void DataReader::loadFile<int>(int* dataOut, size_t fileIndex, const string& variableName);
template void DataReader::loadFile<double>(double* dataOut, size_t fileIndex, const string& variableName);
template void DataReader::loadFile<double>(double* dataOut, size_t fileIndex);
template void DataReader::loadFile<float>(float* dataOut, size_t fileIndex);
template void DataReader::loadFile<int>(int* dataOut, size_t fileIndex);
DataReader::~DataReader() {
}
// template <typename T>
// void DataReader::readAndAllocateAxis(T** axis_ptr, size_t *size, const string &varName) {
// assert(var.getDimCount() == 1);
// netCDF::NcDim dim = var.getDim(0);
// *size = dim.getSize();
// cudaError_t status = cudaMallocManaged(axis_ptr, *size*sizeof(T));
// var.getVar(*axis_ptr);
// }