Testing.h File Reference

#include "General.h"
#include "Param.h"
#include "Write_txtlog.h"
#include "ReadInput.h"
#include "ReadForcing.h"
#include "Util_CPU.h"
#include "Arrays.h"
#include "Forcing.h"
#include "Mesh.h"
#include "Setup_GPU.h"
#include "Mainloop.h"
#include "FlowCPU.h"
#include "FlowGPU.h"
#include "Adaptation.h"

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Functions
template<class T >
bool	Testing (Param XParam, Forcing< float > XForcing, Model< T > XModel, Model< T > XModel_g)
template<class T >
bool	GaussianHumptest (T zsnit, int gpu, bool compare)
template<class T >
void	TestingOutput (Param XParam, Model< T > XModel)
template<class T >
void	copyID2var (Param XParam, BlockP< T > XBlock, T *z)
template<class T >
void	copyBlockinfo2var (Param XParam, BlockP< T > XBlock, int *blkinfo, T *z)
template<class T >
void	CompareCPUvsGPU (Param XParam, Model< T > XModel, Model< T > XModel_g, std::vector< std::string > varlist, bool checkhalo)
template<class T >
std::vector< float >	Raintestmap (int gpu, int dimf, T zinit)
bool	Raintestinput (int gpu)
template<class T >
bool	Rivertest (T zsnit, int gpu)
template<class T >
bool	MassConserveSteepSlope (T zsnit, int gpu)
template<class T >
bool	Raintest (T zsnit, int gpu, float alpha)
template<class T >
bool	testboundaries (Param XParam, T maxslope)
template<class T >
bool	ZoneOutputTest (int nzones, T zsinit)
template<class T >
bool	Rainlossestest (T zsnit, int gpu, float alpha)

Function Documentation

CompareCPUvsGPU()

template<class T >

void CompareCPUvsGPU	(	Param	XParam,
		Model< T >	XModel,
		Model< T >	XModel_g,
		std::vector< std::string >	varlist,
		bool	checkhalo
	)

This function compares the Valiables in a CPU model and a GPU models This function is quite useful when checking both are identical enough one needs to provide a list (vector<string>) of variable to check

copyBlockinfo2var()

template<class T >

void copyBlockinfo2var	(	Param	XParam,
		BlockP< T >	XBlock,
		int *	blkinfo,
		T *	z
	)

This function copies blick info to an output variable This function is somewhat useful when checking bugs in the mesh refinement or coarsening one needs to provide a pointer(z) allocated on the CPU to store the clockinfo This fonction only works on CPU

copyID2var()

template<class T >

void copyID2var	(	Param	XParam,
		BlockP< T >	XBlock,
		T *	z
	)

This function copies block info to an output variable This function is somewhat useful when checking bugs in the mesh refinement or coarsening one needs to provide a pointer(z) allocated on the CPU to store the clockinfo This fonction only works on CPU

GaussianHumptest()

template<class T >

bool GaussianHumptest	(	T	zsnit,
		int	gpu,
		bool	compare
	)

This function tests the full hydrodynamics model and compares the results with pre-conmputed (Hard wired) values The function creates it own model setup and mesh independantly to what the user might want to do The setup consist of a centrally located gaussian hump radiating away The test stops at an arbitrary time to compare with 8 values extracted from a identical run in basilisk This function also compares the result of the GPU and CPU code (until they diverge)

MassConserveSteepSlope()

template<class T >

bool MassConserveSteepSlope	(	T	zsnit,
		int	gpu
	)

This function tests the mass conservation of the vertical injection (used for rivers) The function creates it own model setup and mesh independantly to what the user might want to do This starts with a initial water level (zsnit=0 is dry) and runs for 0.1s before comparing results with zsnit=0.1 that is approx 20 steps

Rainlossestest()

template<class T >

bool Rainlossestest	(	T	zsinit,
		int	gpu,
		float	alpha
	)

This function tests the Initial Losses and Continuous Losses implementation a plain domain, under constant rain. The function creates its own model setup and mesh independantly to what the user inputs. This starts with a initial water level (zsinit=0.0 is dry) and runs for 1s comparing results every 0.1s (that is approx 20 steps)

Raintest()

template<class T >

bool Raintest	(	T	zsnit,
		int	gpu,
		float	alpha
	)

This function tests the mass conservation of the spacial injection (used to model rain on grid) The function creates its own model setup and mesh independantly to what the user inputs. This starts with a initial water level (zsnit=0.0 is dry) and runs for 0.1s before comparing results with zsnit=0.1 that is approx 20 steps

Raintestinput()

bool Raintestinput

(

int

gpu

)

This function tests the different inputs for rain forcing. This test is based on the paper Aureli2020, the 3 slopes test with regional rain. The experiment has been presented in Iwagaki1955. The first test compares a time varying rain input using a uniform time serie forcing and a time varying 2D field (with same value). The second test check the 3D rain forcing (comparing it to expected values).

Raintestmap()

template<class T >

std::vector<float> Raintestmap	(	int	gpu,
		int	dimf,
		T	zinit
	)

\fnstd::vector<float> Raintestmap(int gpu, int dimf, T zinit)

This function return the flux at the bottom of the 3 part slope for different types of rain forcings using the test case based on Iwagaki1955

Rivertest()

template<class T >

bool Rivertest	(	T	zsnit,
		int	gpu
	)

This function tests the mass conservation of the vertical injection (used for rivers) The function creates it own model setup and mesh independantly to what the user might want to do This starts with a initial water level (zsnit=0 is dry) and runs for 0.1s before comparing results with zsnit=0.1 that is approx 20 steps

testboundaries()

template<class T >

bool testboundaries	(	Param	XParam,
		T	maxslope
	)

Testing()

template<class T >

bool Testing	(	Param	XParam,
		Forcing< float >	XForcing,
		Model< T >	XModel,
		Model< T >	XModel_g
	)

TestingOutput()

template<class T >

void TestingOutput	(	Param	XParam,
		Model< T >	XModel
	)

OUTDATED?

ZoneOutputTest()

template<class T >

bool ZoneOutputTest	(	int	nzones,
		T	zsinit
	)

This function test the zoned output for a basic configuration

This function test the spped and accuracy of a new gradient function gradient are only calculated for zb but assigned to different gradient variable for storage