1 // This file is part of Eigen, a lightweight C++ template library 2 // for linear algebra. 3 // 4 // Copyright (C) 2014 Benoit Steiner <benoit.steiner.goog (at) gmail.com> 5 // 6 // This Source Code Form is subject to the terms of the Mozilla 7 // Public License v. 2.0. If a copy of the MPL was not distributed 8 // with this file, You can obtain one at http://mozilla.org/MPL/2.0/. 9 10 #ifndef EIGEN_CXX11_TENSOR_TENSOR_IO_H 11 #define EIGEN_CXX11_TENSOR_TENSOR_IO_H 12 13 namespace Eigen { 14 15 namespace internal { 16 17 // Print the tensor as a 2d matrix 18 template <typename Tensor, int Rank> 19 struct TensorPrinter { 20 static void run (std::ostream& os, const Tensor& tensor) { 21 typedef typename internal::remove_const<typename Tensor::Scalar>::type Scalar; 22 typedef typename Tensor::Index Index; 23 const Index total_size = internal::array_prod(tensor.dimensions()); 24 if (total_size > 0) { 25 const Index first_dim = Eigen::internal::array_get<0>(tensor.dimensions()); 26 static const int layout = Tensor::Layout; 27 Map<const Array<Scalar, Dynamic, Dynamic, layout> > matrix(const_cast<Scalar*>(tensor.data()), first_dim, total_size/first_dim); 28 os << matrix; 29 } 30 } 31 }; 32 33 34 // Print the tensor as a vector 35 template <typename Tensor> 36 struct TensorPrinter<Tensor, 1> { 37 static void run (std::ostream& os, const Tensor& tensor) { 38 typedef typename internal::remove_const<typename Tensor::Scalar>::type Scalar; 39 typedef typename Tensor::Index Index; 40 const Index total_size = internal::array_prod(tensor.dimensions()); 41 if (total_size > 0) { 42 Map<const Array<Scalar, Dynamic, 1> > array(const_cast<Scalar*>(tensor.data()), total_size); 43 os << array; 44 } 45 } 46 }; 47 48 49 // Print the tensor as a scalar 50 template <typename Tensor> 51 struct TensorPrinter<Tensor, 0> { 52 static void run (std::ostream& os, const Tensor& tensor) { 53 os << tensor.coeff(0); 54 } 55 }; 56 } 57 58 template <typename T> 59 std::ostream& operator << (std::ostream& os, const TensorBase<T, ReadOnlyAccessors>& expr) { 60 typedef TensorEvaluator<const TensorForcedEvalOp<const T>, DefaultDevice> Evaluator; 61 typedef typename Evaluator::Dimensions Dimensions; 62 63 // Evaluate the expression if needed 64 TensorForcedEvalOp<const T> eval = expr.eval(); 65 Evaluator tensor(eval, DefaultDevice()); 66 tensor.evalSubExprsIfNeeded(NULL); 67 68 // Print the result 69 static const int rank = internal::array_size<Dimensions>::value; 70 internal::TensorPrinter<Evaluator, rank>::run(os, tensor); 71 72 // Cleanup. 73 tensor.cleanup(); 74 return os; 75 } 76 77 } // end namespace Eigen 78 79 #endif // EIGEN_CXX11_TENSOR_TENSOR_IO_H 80
