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authorGravatar Benoit Steiner <benoit.steiner.goog@gmail.com>2014-10-13 10:04:04 -0700
committerGravatar Benoit Steiner <benoit.steiner.goog@gmail.com>2014-10-13 10:04:04 -0700
commit4c70b0a7627d45286ecbb3c73d2d774412168205 (patch)
tree8ed2081268a2bd6110fac3fdcf0f956b5a72313e /unsupported/test/cxx11_tensor_patch.cpp
parent0219f8aed44279858330b1c07402c066f5b75459 (diff)
Added support for patch extraction
Diffstat (limited to 'unsupported/test/cxx11_tensor_patch.cpp')
-rw-r--r--unsupported/test/cxx11_tensor_patch.cpp103
1 files changed, 103 insertions, 0 deletions
diff --git a/unsupported/test/cxx11_tensor_patch.cpp b/unsupported/test/cxx11_tensor_patch.cpp
new file mode 100644
index 000000000..e2ba5bfd8
--- /dev/null
+++ b/unsupported/test/cxx11_tensor_patch.cpp
@@ -0,0 +1,103 @@
+// 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;
+
+static void test_simple_patch()
+{
+ Tensor<float, 4> tensor(2,3,5,7);
+ tensor.setRandom();
+ array<ptrdiff_t, 4> patch_dims;
+ patch_dims[0] = 1;
+ patch_dims[1] = 1;
+ patch_dims[2] = 1;
+ patch_dims[3] = 1;
+
+ Tensor<float, 5> no_patch;
+ no_patch = tensor.extract_patches(patch_dims);
+
+ VERIFY_IS_EQUAL(no_patch.dimension(0), 1);
+ VERIFY_IS_EQUAL(no_patch.dimension(1), 1);
+ VERIFY_IS_EQUAL(no_patch.dimension(2), 1);
+ VERIFY_IS_EQUAL(no_patch.dimension(3), 1);
+ VERIFY_IS_EQUAL(no_patch.dimension(4), tensor.size());
+
+ for (int i = 0; i < tensor.size(); ++i) {
+ VERIFY_IS_EQUAL(tensor.data()[i], no_patch.data()[i]);
+ }
+
+ patch_dims[0] = 1;
+ patch_dims[1] = 2;
+ patch_dims[2] = 2;
+ patch_dims[3] = 1;
+ Tensor<float, 5> twod_patch;
+ twod_patch = tensor.extract_patches(patch_dims);
+
+ VERIFY_IS_EQUAL(twod_patch.dimension(0), 1);
+ VERIFY_IS_EQUAL(twod_patch.dimension(1), 2);
+ VERIFY_IS_EQUAL(twod_patch.dimension(2), 2);
+ VERIFY_IS_EQUAL(twod_patch.dimension(3), 1);
+ VERIFY_IS_EQUAL(twod_patch.dimension(4), 2*2*4*7);
+
+ for (int i = 0; i < 2; ++i) {
+ for (int j = 0; j < 2; ++j) {
+ for (int k = 0; k < 4; ++k) {
+ for (int l = 0; l < 7; ++l) {
+ int patch_loc = i + 2 * (j + 2 * (k + 4 * l));
+ for (int x = 0; x < 2; ++x) {
+ for (int y = 0; y < 2; ++y) {
+ VERIFY_IS_EQUAL(tensor(i,j+x,k+y,l), twod_patch(0,x,y,0,patch_loc));
+ }
+ }
+ }
+ }
+ }
+ }
+
+ patch_dims[0] = 1;
+ patch_dims[1] = 2;
+ patch_dims[2] = 3;
+ patch_dims[3] = 5;
+ Tensor<float, 5> threed_patch;
+ threed_patch = tensor.extract_patches(patch_dims);
+
+ VERIFY_IS_EQUAL(threed_patch.dimension(0), 1);
+ VERIFY_IS_EQUAL(threed_patch.dimension(1), 2);
+ VERIFY_IS_EQUAL(threed_patch.dimension(2), 3);
+ VERIFY_IS_EQUAL(threed_patch.dimension(3), 5);
+ VERIFY_IS_EQUAL(threed_patch.dimension(4), 2*2*3*3);
+
+ for (int i = 0; i < 2; ++i) {
+ for (int j = 0; j < 2; ++j) {
+ for (int k = 0; k < 3; ++k) {
+ for (int l = 0; l < 3; ++l) {
+ int patch_loc = i + 2 * (j + 2 * (k + 3 * l));
+ for (int x = 0; x < 2; ++x) {
+ for (int y = 0; y < 3; ++y) {
+ for (int z = 0; z < 5; ++z) {
+ VERIFY_IS_EQUAL(tensor(i,j+x,k+y,l+z), threed_patch(0,x,y,z,patch_loc));
+ }
+ }
+ }
+ }
+ }
+ }
+ }
+}
+
+
+void test_cxx11_tensor_patch()
+{
+ CALL_SUBTEST(test_simple_patch());
+ // CALL_SUBTEST(test_expr_shuffling());
+}