ef09ce4552
The following code snippet was failing to compile: TensorFixedSize<double, Sizes<4, 3> > t_4x3; cout << 4x3;
54 lines
1.9 KiB
C++
54 lines
1.9 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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#ifndef EIGEN_CXX11_TENSOR_TENSOR_IO_H
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#define EIGEN_CXX11_TENSOR_TENSOR_IO_H
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namespace Eigen {
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namespace internal {
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template<>
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struct significant_decimals_impl<std::string>
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: significant_decimals_default_impl<std::string, true>
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{};
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}
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template <typename T>
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std::ostream& operator << (std::ostream& os, const TensorBase<T, ReadOnlyAccessors>& expr) {
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// Evaluate the expression if needed
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TensorForcedEvalOp<const T> eval = expr.eval();
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TensorEvaluator<const TensorForcedEvalOp<const T>, DefaultDevice> tensor(eval, DefaultDevice());
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tensor.evalSubExprsIfNeeded(NULL);
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typedef typename internal::remove_const<typename T::Scalar>::type Scalar;
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typedef typename T::Index Index;
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typedef typename TensorEvaluator<const TensorForcedEvalOp<const T>, DefaultDevice>::Dimensions Dimensions;
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const Index total_size = tensor.dimensions().TotalSize();
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// Print the tensor as a 1d vector or a 2d matrix.
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if (internal::array_size<Dimensions>::value == 1) {
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Map<const Array<Scalar, Dynamic, 1> > array(const_cast<Scalar*>(tensor.data()), total_size);
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os << array;
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} else {
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const Index first_dim = Eigen::internal::array_get<0>(tensor.dimensions());
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static const int layout = TensorEvaluator<const TensorForcedEvalOp<const T>, DefaultDevice>::Layout;
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Map<const Array<Scalar, Dynamic, Dynamic, layout> > matrix(const_cast<Scalar*>(tensor.data()), first_dim, total_size/first_dim);
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os << matrix;
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}
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// Cleanup.
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tensor.cleanup();
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return os;
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}
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} // end namespace Eigen
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#endif // EIGEN_CXX11_TENSOR_TENSOR_IO_H
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