From 0219f8aed44279858330b1c07402c066f5b75459 Mon Sep 17 00:00:00 2001
From: Benoit Steiner <benoit.steiner.goog@gmail.com>
Date: Fri, 10 Oct 2014 16:17:26 -0700
Subject: Added ability to print a tensor using an iostream.

---
 unsupported/Eigen/CXX11/src/Tensor/TensorIO.h | 44 +++++++++++++++++++++++++++
 1 file changed, 44 insertions(+)
 create mode 100644 unsupported/Eigen/CXX11/src/Tensor/TensorIO.h

(limited to 'unsupported/Eigen/CXX11/src/Tensor/TensorIO.h')

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
--- /dev/null
+++ 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
-- 
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