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More tests to validate the const-correctness of the tensor code.
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@ -95,6 +95,8 @@ template<typename T> struct packet_traits : default_packet_traits
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};
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};
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template<typename T> struct packet_traits<const T> : packet_traits<T> { };
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/** \internal \returns a + b (coeff-wise) */
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template<typename Packet> EIGEN_DEVICE_FUNC inline Packet
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padd(const Packet& a,
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@ -415,6 +415,14 @@ template <typename A> struct promote_storage_type<A,A>
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{
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typedef A ret;
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};
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template <typename A> struct promote_storage_type<A, const A>
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{
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typedef A ret;
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};
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template <typename A> struct promote_storage_type<const A, A>
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{
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typedef A ret;
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};
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/** \internal gives the plain matrix or array type to store a row/column/diagonal of a matrix type.
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* \param Scalar optional parameter allowing to pass a different scalar type than the one of the MatrixType.
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@ -106,7 +106,8 @@ if(EIGEN_TEST_CXX11)
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ei_add_test(cxx11_tensor_convolution "-std=c++0x")
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ei_add_test(cxx11_tensor_expr "-std=c++0x")
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# ei_add_test(cxx11_tensor_fixed_size "-std=c++0x")
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# ei_add_test(cxx11_tensor_of_const_values "-std=c++0x")
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ei_add_test(cxx11_tensor_const "-std=c++0x")
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ei_add_test(cxx11_tensor_of_const_values "-std=c++0x")
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ei_add_test(cxx11_tensor_of_strings "-std=c++0x")
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ei_add_test(cxx11_tensor_intdiv "-std=c++0x")
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ei_add_test(cxx11_tensor_lvalue "-std=c++0x")
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39
unsupported/test/cxx11_tensor_const.cpp
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39
unsupported/test/cxx11_tensor_const.cpp
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@ -0,0 +1,39 @@
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// 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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#include "main.h"
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#include <Eigen/CXX11/Tensor>
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using Eigen::Tensor;
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static void test_simple_assign()
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{
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Tensor<int, 3> random(2,3,7);
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random.setRandom();
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TensorMap<Tensor<const int, 3> > constant(random.data(), 2, 3, 7);
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Tensor<int, 3> result(2,3,7);
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result = constant;
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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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for (int k = 0; k < 7; ++k) {
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VERIFY_IS_EQUAL((result(i,j,k)), random(i,j,k));
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}
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}
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}
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}
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void test_cxx11_tensor_const()
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{
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CALL_SUBTEST(test_simple_assign());
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}
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