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authorGravatar Benoit Steiner <benoit.steiner.goog@gmail.com>2014-05-06 11:18:37 -0700
committerGravatar Benoit Steiner <benoit.steiner.goog@gmail.com>2014-05-06 11:18:37 -0700
commit0320f7e3a71406b9a03d1bab0d168fd76e63d457 (patch)
treefffaaacd58cb5088f66d868bbb172971aacf9b53 /unsupported/test/cxx11_tensor_expr.cpp
parentc0f2cb016e60b7dbde1d5946f42234a709a711f9 (diff)
Added support for fixed sized tensors.
Improved support for tensor expressions.
Diffstat (limited to 'unsupported/test/cxx11_tensor_expr.cpp')
-rw-r--r--unsupported/test/cxx11_tensor_expr.cpp145
1 files changed, 145 insertions, 0 deletions
diff --git a/unsupported/test/cxx11_tensor_expr.cpp b/unsupported/test/cxx11_tensor_expr.cpp
new file mode 100644
index 000000000..e0124da8c
--- /dev/null
+++ b/unsupported/test/cxx11_tensor_expr.cpp
@@ -0,0 +1,145 @@
+// 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;
+using Eigen::RowMajor;
+
+static void test_1d()
+{
+ Tensor<float, 1> vec1({6});
+ Tensor<float, 1, RowMajor> vec2({6});
+
+ vec1(0) = 4.0; vec2(0) = 0.0;
+ vec1(1) = 8.0; vec2(1) = 1.0;
+ vec1(2) = 15.0; vec2(2) = 2.0;
+ vec1(3) = 16.0; vec2(3) = 3.0;
+ vec1(4) = 23.0; vec2(4) = 4.0;
+ vec1(5) = 42.0; vec2(5) = 5.0;
+
+ float data3[6];
+ TensorMap<Tensor<float, 1>> vec3(data3, 6);
+ vec3 = vec1.cwiseSqrt();
+ float data4[6];
+ TensorMap<Tensor<float, 1, RowMajor>> vec4(data4, 6);
+ vec4 = vec2.cwiseSqrt();
+
+ VERIFY_IS_APPROX(vec3(0), sqrtf(4.0));
+ VERIFY_IS_APPROX(vec3(1), sqrtf(8.0));
+ VERIFY_IS_APPROX(vec3(2), sqrtf(15.0));
+ VERIFY_IS_APPROX(vec3(3), sqrtf(16.0));
+ VERIFY_IS_APPROX(vec3(4), sqrtf(23.0));
+ VERIFY_IS_APPROX(vec3(5), sqrtf(42.0));
+
+ VERIFY_IS_APPROX(vec4(0), sqrtf(0.0));
+ VERIFY_IS_APPROX(vec4(1), sqrtf(1.0));
+ VERIFY_IS_APPROX(vec4(2), sqrtf(2.0));
+ VERIFY_IS_APPROX(vec4(3), sqrtf(3.0));
+ VERIFY_IS_APPROX(vec4(4), sqrtf(4.0));
+ VERIFY_IS_APPROX(vec4(5), sqrtf(5.0));
+
+ vec3 = vec1 + vec2;
+ VERIFY_IS_APPROX(vec3(0), 4.0f + 0.0f);
+ VERIFY_IS_APPROX(vec3(1), 8.0f + 1.0f);
+ VERIFY_IS_APPROX(vec3(2), 15.0f + 2.0f);
+ VERIFY_IS_APPROX(vec3(3), 16.0f + 3.0f);
+ VERIFY_IS_APPROX(vec3(4), 23.0f + 4.0f);
+ VERIFY_IS_APPROX(vec3(5), 42.0f + 5.0f);
+}
+
+static void test_2d()
+{
+ float data1[6];
+ TensorMap<Tensor<float, 2>> mat1(data1, 2, 3);
+ float data2[6];
+ TensorMap<Tensor<float, 2, RowMajor>> mat2(data2, 2, 3);
+
+ mat1(0,0) = 0.0;
+ mat1(0,1) = 1.0;
+ mat1(0,2) = 2.0;
+ mat1(1,0) = 3.0;
+ mat1(1,1) = 4.0;
+ mat1(1,2) = 5.0;
+
+ mat2(0,0) = -0.0;
+ mat2(0,1) = -1.0;
+ mat2(0,2) = -2.0;
+ mat2(1,0) = -3.0;
+ mat2(1,1) = -4.0;
+ mat2(1,2) = -5.0;
+
+ Tensor<float, 2> mat3(2,3);
+ Tensor<float, 2, RowMajor> mat4(2,3);
+ mat3 = mat1.cwiseAbs();
+ mat4 = mat2.cwiseAbs();
+
+ VERIFY_IS_APPROX(mat3(0,0), 0.0f);
+ VERIFY_IS_APPROX(mat3(0,1), 1.0f);
+ VERIFY_IS_APPROX(mat3(0,2), 2.0f);
+ VERIFY_IS_APPROX(mat3(1,0), 3.0f);
+ VERIFY_IS_APPROX(mat3(1,1), 4.0f);
+ VERIFY_IS_APPROX(mat3(1,2), 5.0f);
+
+ VERIFY_IS_APPROX(mat4(0,0), 0.0f);
+ VERIFY_IS_APPROX(mat4(0,1), 1.0f);
+ VERIFY_IS_APPROX(mat4(0,2), 2.0f);
+ VERIFY_IS_APPROX(mat4(1,0), 3.0f);
+ VERIFY_IS_APPROX(mat4(1,1), 4.0f);
+ VERIFY_IS_APPROX(mat4(1,2), 5.0f);
+}
+
+static void test_3d()
+{
+ Tensor<float, 3> mat1(2,3,7);
+ Tensor<float, 3, RowMajor> mat2(2,3,7);
+
+ float val = 0.0;
+ for (int i = 0; i < 2; ++i) {
+ for (int j = 0; j < 3; ++j) {
+ for (int k = 0; k < 7; ++k) {
+ mat1(i,j,k) = val;
+ mat2(i,j,k) = val;
+ val += 1.0;
+ }
+ }
+ }
+
+ Tensor<float, 3> mat3(2,3,7);
+ mat3 = mat1 + mat1;
+ Tensor<float, 3, RowMajor> mat4(2,3,7);
+ mat4 = mat2 * 3.14f;
+ Tensor<float, 3> mat5(2,3,7);
+ mat5 = mat1.cwiseSqrt().cwiseSqrt();
+ Tensor<float, 3, RowMajor> mat6(2,3,7);
+ mat6 = mat2.cwiseSqrt() * 3.14f;
+
+ val = 0.0;
+ for (int i = 0; i < 2; ++i) {
+ for (int j = 0; j < 3; ++j) {
+ for (int k = 0; k < 7; ++k) {
+ VERIFY_IS_APPROX(mat3(i,j,k), val + val);
+ VERIFY_IS_APPROX(mat4(i,j,k), val * 3.14f);
+ VERIFY_IS_APPROX(mat5(i,j,k), sqrtf(sqrtf(val)));
+ VERIFY_IS_APPROX(mat6(i,j,k), sqrtf(val) * 3.14f);
+ val += 1.0;
+ }
+ }
+ }
+}
+
+
+void test_cxx11_tensor_expr()
+{
+ CALL_SUBTEST(test_1d());
+ CALL_SUBTEST(test_2d());
+ CALL_SUBTEST(test_3d());
+}