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authorGravatar Benoit Steiner <benoit.steiner.goog@gmail.com>2014-10-10 16:17:26 -0700
committerGravatar Benoit Steiner <benoit.steiner.goog@gmail.com>2014-10-10 16:17:26 -0700
commit0219f8aed44279858330b1c07402c066f5b75459 (patch)
tree1447f4ac1f2b6f5aa77db66ea29f5d5ebb273ad9 /unsupported/Eigen/CXX11/src/Tensor/TensorIO.h
parent2ed1838aeb6d3c70c35dbd8d545fba1e7e1c68dc (diff)
Added ability to print a tensor using an iostream.
Diffstat (limited to 'unsupported/Eigen/CXX11/src/Tensor/TensorIO.h')
-rw-r--r--unsupported/Eigen/CXX11/src/Tensor/TensorIO.h44
1 files changed, 44 insertions, 0 deletions
diff --git a/unsupported/Eigen/CXX11/src/Tensor/TensorIO.h b/unsupported/Eigen/CXX11/src/Tensor/TensorIO.h
new file mode 100644
index 000000000..959b5db73
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+++ b/unsupported/Eigen/CXX11/src/Tensor/TensorIO.h
@@ -0,0 +1,44 @@
+// 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