don't index Eigen

1 files changed, 0 insertions, 91 deletions

diff --git a/eigen/unsupported/test/cxx11_tensor_generator.cpp b/eigen/unsupported/test/cxx11_tensor_generator.cpp
deleted file mode 100644
index dcb9287..0000000
--- a/eigen/unsupported/test/cxx11_tensor_generator.cpp
+++ /dev/null
@@ -1,91 +0,0 @@
-// This file is part of Eigen, a lightweight C++ template library
-// for linear algebra.
-//
-// Copyright (C) 2015 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>
-
-struct Generator1D {
-  Generator1D() { }
-
-  float operator()(const array<Eigen::DenseIndex, 1>& coordinates) const {
-    return coordinates[0];
-  }
-};
-
-template <int DataLayout>
-static void test_1D()
-{
-  Tensor<float, 1> vec(6);
-  Tensor<float, 1> result = vec.generate(Generator1D());
-
-  for (int i = 0; i < 6; ++i) {
-    VERIFY_IS_EQUAL(result(i), i);
-  }
-}
-
-
-struct Generator2D {
-  Generator2D() { }
-
-  float operator()(const array<Eigen::DenseIndex, 2>& coordinates) const {
-    return 3 * coordinates[0] + 11 * coordinates[1];
-  }
-};
-
-template <int DataLayout>
-static void test_2D()
-{
-  Tensor<float, 2> matrix(5, 7);
-  Tensor<float, 2> result = matrix.generate(Generator2D());
-
-  for (int i = 0; i < 5; ++i) {
-    for (int j = 0; j < 5; ++j) {
-      VERIFY_IS_EQUAL(result(i, j), 3*i + 11*j);
-    }
-  }
-}
-
-
-template <int DataLayout>
-static void test_gaussian()
-{
-  int rows = 32;
-  int cols = 48;
-  array<float, 2> means;
-  means[0] = rows / 2.0f;
-  means[1] = cols / 2.0f;
-  array<float, 2> std_devs;
-  std_devs[0] = 3.14f;
-  std_devs[1] = 2.7f;
-  internal::GaussianGenerator<float, Eigen::DenseIndex, 2> gaussian_gen(means, std_devs);
-
-  Tensor<float, 2> matrix(rows, cols);
-  Tensor<float, 2> result = matrix.generate(gaussian_gen);
-
-  for (int i = 0; i < rows; ++i) {
-    for (int j = 0; j < cols; ++j) {
-      float g_rows = powf(rows/2.0f - i, 2) / (3.14f * 3.14f) * 0.5f;
-      float g_cols = powf(cols/2.0f - j, 2) / (2.7f * 2.7f) * 0.5f;
-      float gaussian = expf(-g_rows - g_cols);
-      VERIFY_IS_EQUAL(result(i, j), gaussian);
-    }
-  }
-}
-
-
-void test_cxx11_tensor_generator()
-{
-  CALL_SUBTEST(test_1D<ColMajor>());
-  CALL_SUBTEST(test_1D<RowMajor>());
-  CALL_SUBTEST(test_2D<ColMajor>());
-  CALL_SUBTEST(test_2D<RowMajor>());
-  CALL_SUBTEST(test_gaussian<ColMajor>());
-  CALL_SUBTEST(test_gaussian<RowMajor>());
-}