| // 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/. |
| |
| #ifndef EIGEN_CXX11_TENSOR_TENSOR_IO_H |
| #define EIGEN_CXX11_TENSOR_TENSOR_IO_H |
| |
| namespace Eigen { |
| |
| template <typename T> |
| std::ostream& operator << (std::ostream& os, const TensorBase<T, ReadOnlyAccessors>& expr) { |
| // Evaluate the expression if needed |
| TensorForcedEvalOp<const T> eval = expr.eval(); |
| TensorEvaluator<const TensorForcedEvalOp<const T>, DefaultDevice> tensor(eval, DefaultDevice()); |
| tensor.evalSubExprsIfNeeded(NULL); |
| |
| typedef typename T::Scalar Scalar; |
| typedef typename T::Index Index; |
| typedef typename TensorEvaluator<const TensorForcedEvalOp<const T>, DefaultDevice>::Dimensions Dimensions; |
| const Index total_size = internal::array_prod(tensor.dimensions()); |
| |
| // Print the tensor as a 1d vector or a 2d matrix. |
| if (internal::array_size<Dimensions>::value == 1) { |
| Map<Array<Scalar, Dynamic, 1> > array(tensor.data(), total_size); |
| os << array; |
| } else { |
| const Index first_dim = tensor.dimensions()[0]; |
| Map<Array<Scalar, Dynamic, Dynamic> > matrix(tensor.data(), first_dim, total_size/first_dim); |
| os << matrix; |
| } |
| |
| // Cleanup. |
| tensor.cleanup(); |
| return os; |
| } |
| |
| } // end namespace Eigen |
| |
| #endif // EIGEN_CXX11_TENSOR_TENSOR_IO_H |
