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-rw-r--r--unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h12
-rw-r--r--unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h55
2 files changed, 50 insertions, 17 deletions
diff --git a/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h b/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h
index a2a925775..3bfe80c9e 100644
--- a/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h
+++ b/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h
@@ -102,6 +102,7 @@ struct TensorEvaluator<const TensorAssignOp<LeftArgType, RightArgType>, Device>
{ }
typedef typename XprType::Index Index;
+ typedef typename XprType::Scalar Scalar;
typedef typename XprType::CoeffReturnType CoeffReturnType;
typedef typename XprType::PacketReturnType PacketReturnType;
typedef typename TensorEvaluator<RightArgType, Device>::Dimensions Dimensions;
@@ -112,9 +113,14 @@ struct TensorEvaluator<const TensorAssignOp<LeftArgType, RightArgType>, Device>
return m_rightImpl.dimensions();
}
- EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void evalSubExprsIfNeeded() {
- m_leftImpl.evalSubExprsIfNeeded();
- m_rightImpl.evalSubExprsIfNeeded();
+ EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(Scalar*) {
+ eigen_assert(internal::dimensions_match(m_leftImpl.dimensions(), m_rightImpl.dimensions()));
+ m_leftImpl.evalSubExprsIfNeeded(NULL);
+ // If the lhs provides raw access to its storage area (i.e. if m_leftImpl.data() returns a non
+ // null value), attempt to evaluate the rhs expression in place. Returns true iff in place
+ // evaluation isn't supported and the caller still needs to manually assign the values generated
+ // by the rhs to the lhs.
+ return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
}
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void cleanup() {
m_leftImpl.cleanup();
diff --git a/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h b/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h
index ac9829ce9..0f969036c 100644
--- a/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h
+++ b/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h
@@ -39,13 +39,20 @@ struct TensorEvaluator
PacketAccess = Derived::PacketAccess,
};
- EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorEvaluator(const Derived& m, const Device&)
- : m_data(const_cast<Scalar*>(m.data())), m_dims(m.dimensions())
+ EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorEvaluator(const Derived& m, const Device& device)
+ : m_data(const_cast<Scalar*>(m.data())), m_dims(m.dimensions()), m_device(device)
{ }
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Dimensions& dimensions() const { return m_dims; }
- EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void evalSubExprsIfNeeded() { }
+ EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(Scalar* dest) {
+ if (dest) {
+ m_device.memcpy((void*)dest, m_data, sizeof(Scalar) * m_dims.TotalSize());
+ return false;
+ }
+ return true;
+ }
+
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void cleanup() { }
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE CoeffReturnType coeff(Index index) const {
@@ -70,9 +77,12 @@ struct TensorEvaluator
return internal::pstoret<Scalar, Packet, StoreMode>(m_data + index, x);
}
+ Scalar* data() const { return m_data; }
+
protected:
Scalar* m_data;
Dimensions m_dims;
+ const Device& m_device;
};
@@ -98,7 +108,7 @@ struct TensorEvaluator<const Derived, Device>
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Dimensions& dimensions() const { return m_dims; }
- EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void evalSubExprsIfNeeded() { }
+ EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(Scalar*) { return true; }
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void cleanup() { }
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE CoeffReturnType coeff(Index index) const {
@@ -112,6 +122,8 @@ struct TensorEvaluator<const Derived, Device>
return internal::ploadt<Packet, LoadMode>(m_data + index);
}
+ const Scalar* data() const { return m_data; }
+
protected:
const Scalar* m_data;
Dimensions m_dims;
@@ -138,13 +150,14 @@ struct TensorEvaluator<const TensorCwiseNullaryOp<NullaryOp, ArgType>, Device>
{ }
typedef typename XprType::Index Index;
+ typedef typename XprType::Scalar Scalar;
typedef typename XprType::CoeffReturnType CoeffReturnType;
typedef typename XprType::PacketReturnType PacketReturnType;
typedef typename TensorEvaluator<ArgType, Device>::Dimensions Dimensions;
EIGEN_DEVICE_FUNC const Dimensions& dimensions() const { return m_argImpl.dimensions(); }
- EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void evalSubExprsIfNeeded() { }
+ EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(Scalar*) { return true; }
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void cleanup() { }
EIGEN_DEVICE_FUNC CoeffReturnType coeff(Index index) const
@@ -158,6 +171,8 @@ struct TensorEvaluator<const TensorCwiseNullaryOp<NullaryOp, ArgType>, Device>
return m_functor.packetOp(index);
}
+ Scalar* data() const { return NULL; }
+
private:
const NullaryOp m_functor;
TensorEvaluator<ArgType, Device> m_argImpl;
@@ -183,14 +198,16 @@ struct TensorEvaluator<const TensorCwiseUnaryOp<UnaryOp, ArgType>, Device>
{ }
typedef typename XprType::Index Index;
+ typedef typename XprType::Scalar Scalar;
typedef typename XprType::CoeffReturnType CoeffReturnType;
typedef typename XprType::PacketReturnType PacketReturnType;
typedef typename TensorEvaluator<ArgType, Device>::Dimensions Dimensions;
EIGEN_DEVICE_FUNC const Dimensions& dimensions() const { return m_argImpl.dimensions(); }
- EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void evalSubExprsIfNeeded() {
- m_argImpl.evalSubExprsIfNeeded();
+ EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(Scalar*) {
+ m_argImpl.evalSubExprsIfNeeded(NULL);
+ return true;
}
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void cleanup() {
m_argImpl.cleanup();
@@ -207,6 +224,8 @@ struct TensorEvaluator<const TensorCwiseUnaryOp<UnaryOp, ArgType>, Device>
return m_functor.packetOp(m_argImpl.template packet<LoadMode>(index));
}
+ Scalar* data() const { return NULL; }
+
private:
const UnaryOp m_functor;
TensorEvaluator<ArgType, Device> m_argImpl;
@@ -233,6 +252,7 @@ struct TensorEvaluator<const TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArg
{ }
typedef typename XprType::Index Index;
+ typedef typename XprType::Scalar Scalar;
typedef typename XprType::CoeffReturnType CoeffReturnType;
typedef typename XprType::PacketReturnType PacketReturnType;
typedef typename TensorEvaluator<LeftArgType, Device>::Dimensions Dimensions;
@@ -243,9 +263,10 @@ struct TensorEvaluator<const TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArg
return m_leftImpl.dimensions();
}
- EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void evalSubExprsIfNeeded() {
- m_leftImpl.evalSubExprsIfNeeded();
- m_rightImpl.evalSubExprsIfNeeded();
+ EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(Scalar*) {
+ m_leftImpl.evalSubExprsIfNeeded(NULL);
+ m_rightImpl.evalSubExprsIfNeeded(NULL);
+ return true;
}
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void cleanup() {
m_leftImpl.cleanup();
@@ -262,6 +283,8 @@ struct TensorEvaluator<const TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArg
return m_functor.packetOp(m_leftImpl.template packet<LoadMode>(index), m_rightImpl.template packet<LoadMode>(index));
}
+ Scalar* data() const { return NULL; }
+
private:
const BinaryOp m_functor;
TensorEvaluator<LeftArgType, Device> m_leftImpl;
@@ -289,6 +312,7 @@ struct TensorEvaluator<const TensorSelectOp<IfArgType, ThenArgType, ElseArgType>
{ }
typedef typename XprType::Index Index;
+ typedef typename XprType::Scalar Scalar;
typedef typename XprType::CoeffReturnType CoeffReturnType;
typedef typename XprType::PacketReturnType PacketReturnType;
typedef typename TensorEvaluator<IfArgType, Device>::Dimensions Dimensions;
@@ -299,10 +323,11 @@ struct TensorEvaluator<const TensorSelectOp<IfArgType, ThenArgType, ElseArgType>
return m_condImpl.dimensions();
}
- EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void evalSubExprsIfNeeded() {
- m_condImpl.evalSubExprsIfNeeded();
- m_thenImpl.evalSubExprsIfNeeded();
- m_elseImpl.evalSubExprsIfNeeded();
+ EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(Scalar*) {
+ m_condImpl.evalSubExprsIfNeeded(NULL);
+ m_thenImpl.evalSubExprsIfNeeded(NULL);
+ m_elseImpl.evalSubExprsIfNeeded(NULL);
+ return true;
}
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void cleanup() {
m_condImpl.cleanup();
@@ -327,6 +352,8 @@ struct TensorEvaluator<const TensorSelectOp<IfArgType, ThenArgType, ElseArgType>
m_elseImpl.template packet<LoadMode>(index));
}
+ Scalar* data() const { return NULL; }
+
private:
TensorEvaluator<IfArgType, Device> m_condImpl;
TensorEvaluator<ThenArgType, Device> m_thenImpl;