/* NiuTrans.Tensor - an open-source tensor library
* Copyright (C) 2017, Natural Language Processing Lab, Northestern University.
* All rights reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
*   http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/

/*
* $Created by: Xu Chen (email: hello_master1954@163.com) 2018-07-12
*/

#include "TConvertDataType.h"

namespace nts { // namespace nts(NiuTrans.Tensor)

/*
case 1: test ConvertDataType function.
In this case, the flaot32 data type is converted to int32 data type.

*/
bool TestConvertDataType1()
{
	/* a tensor of size (3, 2) */
	int aOrder = 2;
	int * aDimSize = new int[aOrder];
	aDimSize[0] = 3;
	aDimSize[1] = 2;

	int aUnitNum = 1;
	for (int i = 0; i < aOrder; i++)
		aUnitNum *= aDimSize[i];

	DTYPE aData[3][2] = { {1.0F, 2.0F}, 
	                      {0.5F, 4.0F},
	                      {5.0F, 6.0F} };
	int answer[3][2] = { {1, 2},
	                     {0, 4},
                         {5, 6} };

	/* CPU test */
	bool cpuTest = true;

	/* create tensors */
	XTensor * a = NewTensor(aOrder, aDimSize);
	XTensor * b = NewTensor(aOrder, aDimSize, X_INT);

	/* initialize variables */
	a->SetData(aData, aUnitNum);
	b->SetZeroAll();

	/* call ConvertDataType function */
	_ConvertDataType(a, b);

	/* check results */
	cpuTest = b->CheckData(answer, aUnitNum);
    
#ifdef USE_CUDA
	/* GPU test */
	bool gpuTest = true;

	/* create tensor */
	XTensor * aGPU = NewTensor(aOrder, aDimSize, X_FLOAT, 1.0F, 0);
	XTensor * bGPU = NewTensor(aOrder, aDimSize, X_INT, 1.0F, 0);

	/* Initialize variables */
	aGPU->SetData(aData, aUnitNum);

	/* call ConvertDataType function */
	_ConvertDataType(aGPU, bGPU);

	/* check results */
	gpuTest = bGPU->CheckData(answer, aUnitNum);

	/* destroy variables */
	delete a;
	delete b;
    delete aGPU;
    delete bGPU;
	delete[] aDimSize;

	return cpuTest && gpuTest;
#else
	/* destroy variables */
	delete a;
	delete b;
	delete[] aDimSize;

	return cpuTest;
#endif // USE_CUDA
}

/*
case 2: test ConvertDataType function.
In this case, the int32 data type is converted to float32 data type.

*/
bool TestConvertDataType2()
{
	/* a tensor of size (3, 2) */
	int aOrder = 2;
	int * aDimSize = new int[aOrder];
	aDimSize[0] = 3;
	aDimSize[1] = 2;

	int aUnitNum = 1;
	for (int i = 0; i < aOrder; i++)
		aUnitNum *= aDimSize[i];

	int aData[3][2] = { {1, 2}, 
	                    {0, 4},
	                    {5, 6} };
	DTYPE answer[3][2] = { {1.0F, 2.0F}, 
	                       {0.0F, 4.0F},
	                       {5.0F, 6.0F} };

	/* CPU test */
	bool cpuTest = true;

	/* create tensors */
	XTensor * a = NewTensor(aOrder, aDimSize, X_INT);
	XTensor * b = NewTensor(aOrder, aDimSize);

	/* initialize variables */
	a->SetData(aData, aUnitNum);
	b->SetZeroAll();

	/* call ConvertDataType function */
	_ConvertDataType(a, b);

	/* check results */
	cpuTest = b->CheckData(answer, aUnitNum, 1e-4F);
    
#ifdef USE_CUDA
	/* GPU test */
	bool gpuTest = true;

	/* create tensor */
	XTensor * aGPU = NewTensor(aOrder, aDimSize, X_INT, 1.0F, 0);
	XTensor * bGPU = NewTensor(aOrder, aDimSize, X_FLOAT, 1.0F, 0);

	/* Initialize variables */
	aGPU->SetData(aData, aUnitNum);

	/* call ConvertDataType function */
	_ConvertDataType(aGPU, bGPU);

	/* check results */
	gpuTest = bGPU->CheckData(answer, aUnitNum, 1e-4F);

	/* destroy variables */
	delete a;
	delete b;
    delete aGPU;
    delete bGPU;
	delete[] aDimSize;

	return cpuTest && gpuTest;
#else
	/* destroy variables */
	delete a;
	delete b;
	delete[] aDimSize;

	return cpuTest;
#endif // USE_CUDA
}

/* other cases */
/*
TODO!!
*/

/* test for ConvertDataType Function */
bool TestConvertDataType()
{
	XPRINT(0, stdout, "[TEST ConvertDataType] convert data type \n");
	bool returnFlag = true, caseFlag = true;

	/* case 1 test */
	caseFlag = TestConvertDataType1();

	if (!caseFlag) {
		returnFlag = false;
		XPRINT(0, stdout, ">> case 1 failed!\n");
	}
	else
		XPRINT(0, stdout, ">> case 1 passed!\n");

	/* case 2 test */
	caseFlag = TestConvertDataType2();

	if (!caseFlag) {
		returnFlag = false;
		XPRINT(0, stdout, ">> case 2 failed!\n");
	}
	else
		XPRINT(0, stdout, ">> case 2 passed!\n");

	/* other cases test */
	/*
	TODO!!
	*/

	if (returnFlag) {
		XPRINT(0, stdout, ">> All Passed!\n");
	}
	else
		XPRINT(0, stdout, ">> Failed!\n");

	XPRINT(0, stdout, "\n");

	return returnFlag;
}

} // namespace nts(NiuTrans.Tensor)
