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-rw-r--r--unsupported/test/cxx11_tensor_padding.cpp93
1 files changed, 93 insertions, 0 deletions
diff --git a/unsupported/test/cxx11_tensor_padding.cpp b/unsupported/test/cxx11_tensor_padding.cpp
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+++ b/unsupported/test/cxx11_tensor_padding.cpp
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+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2014 Benoit Steiner <benoit.steiner.goog@gmail.com>
+//
+// 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/.
+
+#include "main.h"
+
+#include <Eigen/CXX11/Tensor>
+
+using Eigen::Tensor;
+
+template<int DataLayout>
+static void test_simple_padding()
+{
+ Tensor<float, 4, DataLayout> tensor(2,3,5,7);
+ tensor.setRandom();
+
+ array<std::pair<ptrdiff_t, ptrdiff_t>, 4> paddings;
+ paddings[0] = std::make_pair(0, 0);
+ paddings[1] = std::make_pair(2, 1);
+ paddings[2] = std::make_pair(3, 4);
+ paddings[3] = std::make_pair(0, 0);
+
+ Tensor<float, 4, DataLayout> padded;
+ padded = tensor.pad(paddings);
+
+ VERIFY_IS_EQUAL(padded.dimension(0), 2+0);
+ VERIFY_IS_EQUAL(padded.dimension(1), 3+3);
+ VERIFY_IS_EQUAL(padded.dimension(2), 5+7);
+ VERIFY_IS_EQUAL(padded.dimension(3), 7+0);
+
+ for (int i = 0; i < 2; ++i) {
+ for (int j = 0; j < 6; ++j) {
+ for (int k = 0; k < 12; ++k) {
+ for (int l = 0; l < 7; ++l) {
+ if (j >= 2 && j < 5 && k >= 3 && k < 8) {
+ VERIFY_IS_EQUAL(padded(i,j,k,l), tensor(i,j-2,k-3,l));
+ } else {
+ VERIFY_IS_EQUAL(padded(i,j,k,l), 0.0f);
+ }
+ }
+ }
+ }
+ }
+}
+
+template<int DataLayout>
+static void test_padded_expr()
+{
+ Tensor<float, 4, DataLayout> tensor(2,3,5,7);
+ tensor.setRandom();
+
+ array<std::pair<ptrdiff_t, ptrdiff_t>, 4> paddings;
+ paddings[0] = std::make_pair(0, 0);
+ paddings[1] = std::make_pair(2, 1);
+ paddings[2] = std::make_pair(3, 4);
+ paddings[3] = std::make_pair(0, 0);
+
+ Eigen::DSizes<ptrdiff_t, 2> reshape_dims;
+ reshape_dims[0] = 12;
+ reshape_dims[1] = 84;
+
+ Tensor<float, 2, DataLayout> result;
+ result = tensor.pad(paddings).reshape(reshape_dims);
+
+ for (int i = 0; i < 2; ++i) {
+ for (int j = 0; j < 6; ++j) {
+ for (int k = 0; k < 12; ++k) {
+ for (int l = 0; l < 7; ++l) {
+ const float result_value = DataLayout == ColMajor ?
+ result(i+2*j,k+12*l) : result(j+6*i,l+7*k);
+ if (j >= 2 && j < 5 && k >= 3 && k < 8) {
+ VERIFY_IS_EQUAL(result_value, tensor(i,j-2,k-3,l));
+ } else {
+ VERIFY_IS_EQUAL(result_value, 0.0f);
+ }
+ }
+ }
+ }
+ }
+}
+
+void test_cxx11_tensor_padding()
+{
+ CALL_SUBTEST(test_simple_padding<ColMajor>());
+ CALL_SUBTEST(test_simple_padding<RowMajor>());
+ CALL_SUBTEST(test_padded_expr<ColMajor>());
+ CALL_SUBTEST(test_padded_expr<RowMajor>());
+}