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14f537c296
template<typename OtherDerived> TensorStridingOp& operator = (const OtherDerived& other) provides a valid assignment operator for the striding operation, and therefore refuses to compile code like: result.stride(foo) = source.stride(bar); Added the explicit TensorStridingOp& operator = (const TensorStridingOp& other) as a workaround to get the code to compile, and did the same in all the operations that can be used as lvalues.
120 lines
2.9 KiB
C++
120 lines
2.9 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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#include "main.h"
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#include <Eigen/CXX11/Tensor>
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using Eigen::Tensor;
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template<int DataLayout>
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static void test_simple_striding()
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{
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Tensor<float, 4, DataLayout> tensor(2,3,5,7);
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tensor.setRandom();
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array<ptrdiff_t, 4> strides;
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strides[0] = 1;
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strides[1] = 1;
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strides[2] = 1;
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strides[3] = 1;
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Tensor<float, 4, DataLayout> no_stride;
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no_stride = tensor.stride(strides);
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VERIFY_IS_EQUAL(no_stride.dimension(0), 2);
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VERIFY_IS_EQUAL(no_stride.dimension(1), 3);
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VERIFY_IS_EQUAL(no_stride.dimension(2), 5);
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VERIFY_IS_EQUAL(no_stride.dimension(3), 7);
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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 < 5; ++k) {
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for (int l = 0; l < 7; ++l) {
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VERIFY_IS_EQUAL(tensor(i,j,k,l), no_stride(i,j,k,l));
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}
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}
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}
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}
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strides[0] = 2;
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strides[1] = 4;
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strides[2] = 2;
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strides[3] = 3;
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Tensor<float, 4, DataLayout> stride;
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stride = tensor.stride(strides);
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VERIFY_IS_EQUAL(stride.dimension(0), 1);
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VERIFY_IS_EQUAL(stride.dimension(1), 1);
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VERIFY_IS_EQUAL(stride.dimension(2), 3);
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VERIFY_IS_EQUAL(stride.dimension(3), 3);
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for (int i = 0; i < 1; ++i) {
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for (int j = 0; j < 1; ++j) {
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for (int k = 0; k < 3; ++k) {
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for (int l = 0; l < 3; ++l) {
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VERIFY_IS_EQUAL(tensor(2*i,4*j,2*k,3*l), stride(i,j,k,l));
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}
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}
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}
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}
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}
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template<int DataLayout>
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static void test_striding_as_lvalue()
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{
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Tensor<float, 4, DataLayout> tensor(2,3,5,7);
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tensor.setRandom();
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array<ptrdiff_t, 4> strides;
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strides[0] = 2;
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strides[1] = 4;
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strides[2] = 2;
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strides[3] = 3;
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Tensor<float, 4, DataLayout> result(3, 12, 10, 21);
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result.stride(strides) = tensor;
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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 < 5; ++k) {
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for (int l = 0; l < 7; ++l) {
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VERIFY_IS_EQUAL(tensor(i,j,k,l), result(2*i,4*j,2*k,3*l));
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}
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}
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}
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}
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array<ptrdiff_t, 4> no_strides;
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no_strides[0] = 1;
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no_strides[1] = 1;
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no_strides[2] = 1;
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no_strides[3] = 1;
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Tensor<float, 4, DataLayout> result2(3, 12, 10, 21);
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result2.stride(strides) = tensor.stride(no_strides);
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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 < 5; ++k) {
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for (int l = 0; l < 7; ++l) {
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VERIFY_IS_EQUAL(tensor(i,j,k,l), result2(2*i,4*j,2*k,3*l));
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}
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}
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}
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}
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}
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void test_cxx11_tensor_striding()
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{
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CALL_SUBTEST(test_simple_striding<ColMajor>());
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CALL_SUBTEST(test_simple_striding<RowMajor>());
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CALL_SUBTEST(test_striding_as_lvalue<ColMajor>());
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CALL_SUBTEST(test_striding_as_lvalue<RowMajor>());
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}
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