unittest_blocktensor.cxx File Reference

Compile-time block-tensor unittests. More...

#include <iganet/iganet.h>
#include <iostream>
#include <gtest/gtest.h>

Macros
#define	test_binary_op(op, A, B, ...)
#define	test_binary_special_op(op, A, B, ...)
#define	test_ternary_op(op, A, B, C, ...)
#define	test_ternary_special_op(op, A, B, C, ...)
#define	test_unary_op(op, A, ...)
#define	test_unary_special_op(op, A, ...)

Functions
int	main (int argc, char **argv)
	TEST (BlockTensor, BlockTensor)
	TEST (BlockTensor, BlockTensor_ops)
	TEST (BlockTensor, DeterminantTraceNormNormalizeAndDot)
	TEST (BlockTensor, GeneralizedInverseAndCompoundScalarOperators)
	TEST (BlockTensor, MetadataStorageAndFormatting)
	TEST (BlockTensor, NumericScalarMultiplicationOnBothSides)
	TEST (BlockTensor, RankThreeIndexSliceReorderAndMultiplication)
	TEST (BlockTensorDeathTest, RejectsOutOfRangeIndicesAndSlices)
	TEST (BlockTensorProperties, GeneralizedInverseSatisfiesReconstruction)
	TEST (BlockTensorProperties, InverseProductApproximatesIdentity)
	TEST (BlockTensorProperties, ReorderFollowedByInverseRestoresRankThreeTensor)

Detailed Description

Compile-time block-tensor unittests.

Author

Matthias Moller

Copyright

This file is part of the IgANet project

This Source Code Form is subject to the terms of the Mozilla Public License, v. 2.0. If a copy of the MPL was not distributed with this file, You can obtain one at http://mozilla.org/MPL/2.0/.

Macro Definition Documentation

test_binary_op

#define test_binary_op	(		op,
			A,
			B,
			...
	)

Value:

  EXPECT_TRUE(torch::equal(iganet::utils::op((A), (B), ##__VA_ARGS__)(0, 0),   \
                           torch::op((A)(0, 0), (B)(0, 0), ##__VA_ARGS__)))

test_binary_special_op

#define test_binary_special_op	(		op,
			A,
			B,
			...
	)

Value:

  EXPECT_TRUE(                                                                 \
      torch::equal(iganet::utils::op((A), (B), ##__VA_ARGS__)(0, 0),           \
                   torch::special::op((A)(0, 0), (B)(0, 0), ##__VA_ARGS__)))

test_ternary_op

#define test_ternary_op	(		op,
			A,
			B,
			C,
			...
	)

Value:

  EXPECT_TRUE(                                                                 \
      torch::equal(iganet::utils::op((A), (B), (C), ##__VA_ARGS__)(0, 0),      \
                   torch::op((A)(0, 0), (B)(0, 0), (C)(0, 0), ##__VA_ARGS__)))

test_ternary_special_op

#define test_ternary_special_op	(		op,
			A,
			B,
			C,
			...
	)

Value:

  EXPECT_TRUE(torch::equal(                                                    \
      iganet::utils::op((A), (B), (C), ##__VA_ARGS__)(0, 0),                   \
      torch::special::op((A)(0, 0), (B)(0, 0), (C)(0, 0), ##__VA_ARGS__)))

test_unary_op

#define test_unary_op	(		op,
			A,
			...
	)

Value:

  EXPECT_TRUE(torch::equal(iganet::utils::op((A), ##__VA_ARGS__)(0, 0),        \
                           torch::op((A)(0, 0), ##__VA_ARGS__)))

test_unary_special_op

#define test_unary_special_op	(		op,
			A,
			...
	)

Value:

  EXPECT_TRUE(torch::equal(iganet::utils::op((A), ##__VA_ARGS__)(0, 0),        \
                           torch::special::op((A)(0, 0), ##__VA_ARGS__)))

Function Documentation

main()

int main	(	int	argc,
		char **	argv
	)

TEST() [1/11]

TEST	(	BlockTensor	,
		BlockTensor
	)

TEST() [2/11]

TEST	(	BlockTensor	,
		BlockTensor_ops
	)

TEST() [3/11]

TEST	(	BlockTensor	,
		DeterminantTraceNormNormalizeAndDot
	)

TEST() [4/11]

TEST	(	BlockTensor	,
		GeneralizedInverseAndCompoundScalarOperators
	)

TEST() [5/11]

TEST	(	BlockTensor	,
		MetadataStorageAndFormatting
	)

TEST() [6/11]

TEST	(	BlockTensor	,
		NumericScalarMultiplicationOnBothSides
	)

TEST() [7/11]

TEST	(	BlockTensor	,
		RankThreeIndexSliceReorderAndMultiplication
	)

TEST() [8/11]

TEST	(	BlockTensorDeathTest	,
		RejectsOutOfRangeIndicesAndSlices
	)

TEST() [9/11]

TEST	(	BlockTensorProperties	,
		GeneralizedInverseSatisfiesReconstruction
	)

TEST() [10/11]

TEST	(	BlockTensorProperties	,
		InverseProductApproximatesIdentity
	)

TEST() [11/11]

TEST	(	BlockTensorProperties	,
		ReorderFollowedByInverseRestoresRankThreeTensor
	)