135 lines
		
	
	
		
			4.8 KiB
		
	
	
	
		
			C++
		
	
	
	
	
	
			
		
		
	
	
			135 lines
		
	
	
		
			4.8 KiB
		
	
	
	
		
			C++
		
	
	
	
	
	
| // This file is part of Eigen, a lightweight C++ template library
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| // for linear algebra.
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| //
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| // Copyright (C) 2014 Benoit Steiner <benoit.steiner.goog@gmail.com>
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| //
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| // This Source Code Form is subject to the terms of the Mozilla
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| // Public License v. 2.0. If a copy of the MPL was not distributed
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| // with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
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| 
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| #include "main.h"
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| 
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| #include <Eigen/CXX11/Tensor>
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| 
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| using Eigen::Tensor;
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| 
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| template <int DataLayout>
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| static void test_dimension_failures() {
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|   Tensor<int, 3, DataLayout> left(2, 3, 1);
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|   Tensor<int, 3, DataLayout> right(3, 3, 1);
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|   left.setRandom();
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|   right.setRandom();
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| 
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|   // Okay; other dimensions are equal.
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|   Tensor<int, 3, DataLayout> concatenation = left.concatenate(right, 0);
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| 
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|   // Dimension mismatches.
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|   VERIFY_RAISES_ASSERT(concatenation = left.concatenate(right, 1));
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|   VERIFY_RAISES_ASSERT(concatenation = left.concatenate(right, 2));
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| 
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|   // Axis > NumDims or < 0.
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|   VERIFY_RAISES_ASSERT(concatenation = left.concatenate(right, 3));
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|   VERIFY_RAISES_ASSERT(concatenation = left.concatenate(right, -1));
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| }
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| 
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| template <int DataLayout>
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| static void test_static_dimension_failure() {
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|   Tensor<int, 2, DataLayout> left(2, 3);
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|   Tensor<int, 3, DataLayout> right(2, 3, 1);
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|   left.setRandom();
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|   right.setRandom();
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| 
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| #ifdef CXX11_TENSOR_CONCATENATION_STATIC_DIMENSION_FAILURE
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|   // Technically compatible, but we static assert that the inputs have same
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|   // NumDims.
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|   Tensor<int, 3, DataLayout> concatenation = left.concatenate(right, 0);
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| #endif
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| 
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|   // This can be worked around in this case.
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|   Tensor<int, 3, DataLayout> concatenation = left.reshape(Tensor<int, 3>::Dimensions(2, 3, 1)).concatenate(right, 0);
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|   Tensor<int, 2, DataLayout> alternative = left
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|                                                // Clang compiler break with {{{}}} with an ambiguous error on copy
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|                                                // constructor the variadic DSize constructor added for #ifndef
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|                                                // EIGEN_EMULATE_CXX11_META_H. Solution: either the code should change to
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|                                                //  Tensor<int, 2>::Dimensions{{2, 3}}
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|                                                // or Tensor<int, 2>::Dimensions{Tensor<int, 2>::Dimensions{{2, 3}}}
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|                                                .concatenate(right.reshape(Tensor<int, 2>::Dimensions(2, 3)), 0);
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| }
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| 
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| template <int DataLayout>
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| static void test_simple_concatenation() {
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|   Tensor<int, 3, DataLayout> left(2, 3, 1);
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|   Tensor<int, 3, DataLayout> right(2, 3, 1);
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|   left.setRandom();
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|   right.setRandom();
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| 
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|   Tensor<int, 3, DataLayout> concatenation = left.concatenate(right, 0);
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|   VERIFY_IS_EQUAL(concatenation.dimension(0), 4);
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|   VERIFY_IS_EQUAL(concatenation.dimension(1), 3);
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|   VERIFY_IS_EQUAL(concatenation.dimension(2), 1);
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|   for (int j = 0; j < 3; ++j) {
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|     for (int i = 0; i < 2; ++i) {
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|       VERIFY_IS_EQUAL(concatenation(i, j, 0), left(i, j, 0));
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|     }
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|     for (int i = 2; i < 4; ++i) {
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|       VERIFY_IS_EQUAL(concatenation(i, j, 0), right(i - 2, j, 0));
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|     }
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|   }
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| 
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|   concatenation = left.concatenate(right, 1);
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|   VERIFY_IS_EQUAL(concatenation.dimension(0), 2);
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|   VERIFY_IS_EQUAL(concatenation.dimension(1), 6);
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|   VERIFY_IS_EQUAL(concatenation.dimension(2), 1);
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|   for (int i = 0; i < 2; ++i) {
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|     for (int j = 0; j < 3; ++j) {
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|       VERIFY_IS_EQUAL(concatenation(i, j, 0), left(i, j, 0));
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|     }
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|     for (int j = 3; j < 6; ++j) {
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|       VERIFY_IS_EQUAL(concatenation(i, j, 0), right(i, j - 3, 0));
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|     }
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|   }
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| 
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|   concatenation = left.concatenate(right, 2);
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|   VERIFY_IS_EQUAL(concatenation.dimension(0), 2);
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|   VERIFY_IS_EQUAL(concatenation.dimension(1), 3);
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|   VERIFY_IS_EQUAL(concatenation.dimension(2), 2);
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|   for (int i = 0; i < 2; ++i) {
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|     for (int j = 0; j < 3; ++j) {
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|       VERIFY_IS_EQUAL(concatenation(i, j, 0), left(i, j, 0));
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|       VERIFY_IS_EQUAL(concatenation(i, j, 1), right(i, j, 0));
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|     }
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|   }
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| }
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| 
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| // TODO(phli): Add test once we have a real vectorized implementation.
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| // static void test_vectorized_concatenation() {}
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| 
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| static void test_concatenation_as_lvalue() {
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|   Tensor<int, 2> t1(2, 3);
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|   Tensor<int, 2> t2(2, 3);
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|   t1.setRandom();
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|   t2.setRandom();
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| 
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|   Tensor<int, 2> result(4, 3);
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|   result.setRandom();
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|   t1.concatenate(t2, 0) = result;
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| 
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|   for (int i = 0; i < 2; ++i) {
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|     for (int j = 0; j < 3; ++j) {
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|       VERIFY_IS_EQUAL(t1(i, j), result(i, j));
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|       VERIFY_IS_EQUAL(t2(i, j), result(i + 2, j));
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|     }
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|   }
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| }
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| 
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| EIGEN_DECLARE_TEST(cxx11_tensor_concatenation) {
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|   CALL_SUBTEST(test_dimension_failures<ColMajor>());
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|   CALL_SUBTEST(test_dimension_failures<RowMajor>());
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|   CALL_SUBTEST(test_static_dimension_failure<ColMajor>());
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|   CALL_SUBTEST(test_static_dimension_failure<RowMajor>());
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|   CALL_SUBTEST(test_simple_concatenation<ColMajor>());
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|   CALL_SUBTEST(test_simple_concatenation<RowMajor>());
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|   // CALL_SUBTEST(test_vectorized_concatenation());
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|   CALL_SUBTEST(test_concatenation_as_lvalue());
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| }
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