From 38ab7e6ed0491bd5a0c639f218d5ea4728bf1e81 Mon Sep 17 00:00:00 2001
From: Benoit Steiner <benoit.steiner.goog@gmail.com>
Date: Fri, 13 Jun 2014 09:56:51 -0700
Subject: Reworked the expression evaluation mechanism in order to make it
 possible to efficiently compute convolutions and contractions in the future: 
 * The scheduling of computation is moved out the the assignment code and into
 a new TensorExecutor class  * The assignment itself is now a regular node on
 the expression tree  * The expression evaluators start by recursively
 evaluating all their subexpressions if needed

---
 unsupported/Eigen/CXX11/src/Tensor/TensorEvalTo.h | 146 ++++++++++++++++++++++
 1 file changed, 146 insertions(+)
 create mode 100644 unsupported/Eigen/CXX11/src/Tensor/TensorEvalTo.h

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

diff --git a/unsupported/Eigen/CXX11/src/Tensor/TensorEvalTo.h b/unsupported/Eigen/CXX11/src/Tensor/TensorEvalTo.h
new file mode 100644
index 000000000..db716a80e
--- /dev/null
+++ b/unsupported/Eigen/CXX11/src/Tensor/TensorEvalTo.h
@@ -0,0 +1,146 @@
+// 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_EVAL_TO_H
+#define EIGEN_CXX11_TENSOR_TENSOR_EVAL_TO_H
+
+namespace Eigen {
+
+/** \class TensorForcedEval
+  * \ingroup CXX11_Tensor_Module
+  *
+  * \brief Tensor reshaping class.
+  *
+  *
+  */
+namespace internal {
+template<typename XprType>
+struct traits<TensorEvalToOp<XprType> >
+{
+  // Type promotion to handle the case where the types of the lhs and the rhs are different.
+  typedef typename XprType::Scalar Scalar;
+  typedef typename internal::packet_traits<Scalar>::type Packet;
+  typedef typename traits<XprType>::StorageKind StorageKind;
+  typedef typename traits<XprType>::Index Index;
+  typedef typename XprType::Nested Nested;
+  typedef typename remove_reference<Nested>::type _Nested;
+
+  enum {
+    Flags = 0,
+  };
+};
+
+template<typename XprType>
+struct eval<TensorEvalToOp<XprType>, Eigen::Dense>
+{
+  typedef const TensorEvalToOp<XprType>& type;
+};
+
+template<typename XprType>
+struct nested<TensorEvalToOp<XprType>, 1, typename eval<TensorEvalToOp<XprType> >::type>
+{
+  typedef TensorEvalToOp<XprType> type;
+};
+
+}  // end namespace internal
+
+
+
+
+template<typename XprType>
+class TensorEvalToOp : public TensorBase<TensorEvalToOp<XprType> >
+{
+  public:
+  typedef typename Eigen::internal::traits<TensorEvalToOp>::Scalar Scalar;
+  typedef typename Eigen::internal::traits<TensorEvalToOp>::Packet Packet;
+  typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
+  typedef typename XprType::CoeffReturnType CoeffReturnType;
+  typedef typename XprType::PacketReturnType PacketReturnType;
+  typedef typename Eigen::internal::nested<TensorEvalToOp>::type Nested;
+  typedef typename Eigen::internal::traits<TensorEvalToOp>::StorageKind StorageKind;
+  typedef typename Eigen::internal::traits<TensorEvalToOp>::Index Index;
+
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorEvalToOp(Scalar* buffer, const XprType& expr)
+      : m_xpr(expr), m_buffer(buffer) {}
+
+    EIGEN_DEVICE_FUNC
+    const typename internal::remove_all<typename XprType::Nested>::type&
+    expression() const { return m_xpr; }
+
+    EIGEN_DEVICE_FUNC Scalar* buffer() const { return m_buffer; }
+
+  protected:
+    typename XprType::Nested m_xpr;
+    Scalar* m_buffer;
+};
+
+
+
+template<typename ArgType, typename Device>
+struct TensorEvaluator<const TensorEvalToOp<ArgType>, Device>
+{
+  typedef TensorEvalToOp<ArgType> XprType;
+  typedef typename ArgType::Scalar Scalar;
+  typedef typename ArgType::Packet Packet;
+  typedef typename TensorEvaluator<ArgType, Device>::Dimensions Dimensions;
+
+  enum {
+    IsAligned = true,
+    PacketAccess = true,
+  };
+
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorEvaluator(const XprType& op, const Device& device)
+      : m_impl(op.expression(), device), m_device(device), m_buffer(op.buffer())
+  { }
+
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE ~TensorEvaluator() {
+  }
+
+  typedef typename XprType::Index Index;
+  typedef typename XprType::CoeffReturnType CoeffReturnType;
+  typedef typename XprType::PacketReturnType PacketReturnType;
+
+  EIGEN_DEVICE_FUNC const Dimensions& dimensions() const { return m_impl.dimensions(); }
+
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void evalSubExprsIfNeeded() {
+    m_impl.evalSubExprsIfNeeded();
+  }
+
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void evalScalar(Index i) {
+    m_buffer[i] = m_impl.coeff(i);
+  }
+  EIGEN_STRONG_INLINE void evalPacket(Index i) {
+    internal::pstoret<Scalar, Packet, Aligned>(m_buffer + i, m_impl.template packet<TensorEvaluator<ArgType, Device>::IsAligned ? Aligned : Unaligned>(i));
+  }
+
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void cleanup() {
+    m_impl.cleanup();
+  }
+
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE CoeffReturnType coeff(Index index) const
+  {
+    return m_buffer[index];
+  }
+
+  template<int LoadMode>
+  EIGEN_STRONG_INLINE PacketReturnType packet(Index index) const
+  {
+    return internal::ploadt<Packet, LoadMode>(m_buffer + index);
+  }
+
+ private:
+  TensorEvaluator<ArgType, Device> m_impl;
+  const Device& m_device;
+  Scalar* m_buffer;
+};
+
+
+} // end namespace Eigen
+
+#endif // EIGEN_CXX11_TENSOR_TENSOR_EVAL_TO_H
-- 
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