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authorGravatar Benoit Steiner <benoit.steiner.goog@gmail.com>2015-03-24 13:12:14 -0700
committerGravatar Benoit Steiner <benoit.steiner.goog@gmail.com>2015-03-24 13:12:14 -0700
commitd3f7915aeb5fb08da7961cfb0160561ec0cf56bb (patch)
treeadf1d716f3ebd09540728776b719bfe8cdb1a022 /unsupported/Eigen/CXX11/src/Tensor
parent0196141938e5f988308eab82450cf283dacdf844 (diff)
parentabdbe8562e889a0ca0877d607cfd5c4cbf937e3a (diff)
Pulled latest update from the eigen main codebase
Diffstat (limited to 'unsupported/Eigen/CXX11/src/Tensor')
-rw-r--r--unsupported/Eigen/CXX11/src/Tensor/CMakeLists.txt6
-rw-r--r--unsupported/Eigen/CXX11/src/Tensor/TensorBase.h73
-rw-r--r--unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h39
-rw-r--r--unsupported/Eigen/CXX11/src/Tensor/TensorFunctors.h2
-rw-r--r--unsupported/Eigen/CXX11/src/Tensor/TensorIO.h4
-rw-r--r--unsupported/Eigen/CXX11/src/Tensor/TensorTraits.h8
6 files changed, 113 insertions, 19 deletions
diff --git a/unsupported/Eigen/CXX11/src/Tensor/CMakeLists.txt b/unsupported/Eigen/CXX11/src/Tensor/CMakeLists.txt
new file mode 100644
index 000000000..6d4b3ea0d
--- /dev/null
+++ b/unsupported/Eigen/CXX11/src/Tensor/CMakeLists.txt
@@ -0,0 +1,6 @@
+FILE(GLOB Eigen_CXX11_Tensor_SRCS "*.h")
+
+INSTALL(FILES
+ ${Eigen_CXX11_Tensor_SRCS}
+ DESTINATION ${INCLUDE_INSTALL_DIR}/unsupported/Eigen/CXX11/src/Tensor COMPONENT Devel
+ )
diff --git a/unsupported/Eigen/CXX11/src/Tensor/TensorBase.h b/unsupported/Eigen/CXX11/src/Tensor/TensorBase.h
index b2b28826a..ca6681a1f 100644
--- a/unsupported/Eigen/CXX11/src/Tensor/TensorBase.h
+++ b/unsupported/Eigen/CXX11/src/Tensor/TensorBase.h
@@ -526,48 +526,101 @@ class TensorBase<Derived, WriteAccessors> : public TensorBase<Derived, ReadOnlyA
}
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
- TensorLayoutSwapOp<Derived>
+ const TensorLayoutSwapOp<const Derived>
swap_layout() const {
+ return TensorLayoutSwapOp<const Derived>(derived());
+ }
+ EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+ TensorLayoutSwapOp<Derived>
+ swap_layout() {
return TensorLayoutSwapOp<Derived>(derived());
}
+
template <typename Axis, typename OtherDerived> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
- TensorConcatenationOp<const Axis, Derived, OtherDerived>
+ const TensorConcatenationOp<const Axis, const Derived, const OtherDerived>
concatenate(const OtherDerived& other, const Axis& axis) const {
- return TensorConcatenationOp<const Axis, Derived, OtherDerived>(derived(), other.derived(), axis);
+ return TensorConcatenationOp<const Axis, const Derived, const OtherDerived>(derived(), other, axis);
}
+ template <typename Axis, typename OtherDerived> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+ TensorConcatenationOp<const Axis, Derived, OtherDerived>
+ concatenate(const OtherDerived& other, const Axis& axis) {
+ return TensorConcatenationOp<const Axis, Derived, OtherDerived>(derived(), other, axis);
+ }
+
template <typename NewDimensions> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
- TensorReshapingOp<const NewDimensions, Derived>
+ const TensorReshapingOp<const NewDimensions, const Derived>
reshape(const NewDimensions& newDimensions) const {
+ return TensorReshapingOp<const NewDimensions, const Derived>(derived(), newDimensions);
+ }
+ template <typename NewDimensions> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+ TensorReshapingOp<const NewDimensions, Derived>
+ reshape(const NewDimensions& newDimensions) {
return TensorReshapingOp<const NewDimensions, Derived>(derived(), newDimensions);
}
+
template <typename StartIndices, typename Sizes> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
- TensorSlicingOp<const StartIndices, const Sizes, Derived>
+ const TensorSlicingOp<const StartIndices, const Sizes, const Derived>
slice(const StartIndices& startIndices, const Sizes& sizes) const {
+ return TensorSlicingOp<const StartIndices, const Sizes, const Derived>(derived(), startIndices, sizes);
+ }
+ template <typename StartIndices, typename Sizes> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+ TensorSlicingOp<const StartIndices, const Sizes, Derived>
+ slice(const StartIndices& startIndices, const Sizes& sizes) {
return TensorSlicingOp<const StartIndices, const Sizes, Derived>(derived(), startIndices, sizes);
}
+
template <DenseIndex DimId> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
- TensorChippingOp<DimId, Derived>
+ const TensorChippingOp<DimId, const Derived>
chip(const Index offset) const {
+ return TensorChippingOp<DimId, const Derived>(derived(), offset, DimId);
+ }
+ template <Index DimId> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+ TensorChippingOp<DimId, Derived>
+ chip(const Index offset) {
return TensorChippingOp<DimId, Derived>(derived(), offset, DimId);
}
+
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
- TensorChippingOp<Dynamic, Derived>
+ const TensorChippingOp<Dynamic, const Derived>
chip(const Index offset, const Index dim) const {
+ return TensorChippingOp<Dynamic, const Derived>(derived(), offset, dim);
+ }
+ EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+ TensorChippingOp<Dynamic, Derived>
+ chip(const Index offset, const Index dim) {
return TensorChippingOp<Dynamic, Derived>(derived(), offset, dim);
}
+
template <typename ReverseDimensions> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
- TensorReverseOp<const ReverseDimensions, Derived>
+ const TensorReverseOp<const ReverseDimensions, const Derived>
reverse(const ReverseDimensions& rev) const {
+ return TensorReverseOp<const ReverseDimensions, const Derived>(derived(), rev);
+ }
+ template <typename ReverseDimensions> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+ TensorReverseOp<const ReverseDimensions, Derived>
+ reverse(const ReverseDimensions& rev) {
return TensorReverseOp<const ReverseDimensions, Derived>(derived(), rev);
}
+
template <typename Shuffle> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
- TensorShufflingOp<const Shuffle, Derived>
+ const TensorShufflingOp<const Shuffle, const Derived>
shuffle(const Shuffle& shuffle) const {
+ return TensorShufflingOp<const Shuffle, const Derived>(derived(), shuffle);
+ }
+ template <typename Shuffle> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+ TensorShufflingOp<const Shuffle, Derived>
+ shuffle(const Shuffle& shuffle) {
return TensorShufflingOp<const Shuffle, Derived>(derived(), shuffle);
}
+
template <typename Strides> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
- TensorStridingOp<const Strides, Derived>
+ const TensorStridingOp<const Strides, const Derived>
stride(const Strides& strides) const {
+ return TensorStridingOp<const Strides, const Derived>(derived(), strides);
+ }
+ template <typename Strides> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+ TensorStridingOp<const Strides, Derived>
+ stride(const Strides& strides) {
return TensorStridingOp<const Strides, Derived>(derived(), strides);
}
diff --git a/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h b/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h
index 649bdb308..7a67c56b3 100644
--- a/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h
+++ b/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h
@@ -21,8 +21,7 @@ namespace Eigen {
* Example:
* C.device(EIGEN_GPU) = A + B;
*
- * Todo: thread pools.
- * Todo: operator +=, -=, *= and so on.
+ * Todo: operator *= and /=.
*/
template <typename ExpressionType, typename DeviceType> class TensorDevice {
@@ -50,6 +49,18 @@ template <typename ExpressionType, typename DeviceType> class TensorDevice {
return *this;
}
+ template<typename OtherDerived>
+ EIGEN_STRONG_INLINE TensorDevice& operator-=(const OtherDerived& other) {
+ typedef typename OtherDerived::Scalar Scalar;
+ typedef TensorCwiseBinaryOp<internal::scalar_difference_op<Scalar>, const ExpressionType, const OtherDerived> Difference;
+ Difference difference(m_expression, other);
+ typedef TensorAssignOp<ExpressionType, const Difference> Assign;
+ Assign assign(m_expression, difference);
+ static const bool Vectorize = TensorEvaluator<const Assign, DeviceType>::PacketAccess;
+ internal::TensorExecutor<const Assign, DeviceType, Vectorize>::run(assign, m_device);
+ return *this;
+ }
+
protected:
const DeviceType& m_device;
ExpressionType& m_expression;
@@ -82,6 +93,18 @@ template <typename ExpressionType> class TensorDevice<ExpressionType, ThreadPool
return *this;
}
+ template<typename OtherDerived>
+ EIGEN_STRONG_INLINE TensorDevice& operator-=(const OtherDerived& other) {
+ typedef typename OtherDerived::Scalar Scalar;
+ typedef TensorCwiseBinaryOp<internal::scalar_difference_op<Scalar>, const ExpressionType, const OtherDerived> Difference;
+ Difference difference(m_expression, other);
+ typedef TensorAssignOp<ExpressionType, const Difference> Assign;
+ Assign assign(m_expression, difference);
+ static const bool Vectorize = TensorEvaluator<const Assign, ThreadPoolDevice>::PacketAccess;
+ internal::TensorExecutor<const Assign, ThreadPoolDevice, Vectorize>::run(assign, m_device);
+ return *this;
+ }
+
protected:
const ThreadPoolDevice& m_device;
ExpressionType& m_expression;
@@ -114,6 +137,18 @@ template <typename ExpressionType> class TensorDevice<ExpressionType, GpuDevice>
return *this;
}
+ template<typename OtherDerived>
+ EIGEN_STRONG_INLINE TensorDevice& operator-=(const OtherDerived& other) {
+ typedef typename OtherDerived::Scalar Scalar;
+ typedef TensorCwiseBinaryOp<internal::scalar_difference_op<Scalar>, const ExpressionType, const OtherDerived> Difference;
+ Difference difference(m_expression, other);
+ typedef TensorAssignOp<ExpressionType, const Difference> Assign;
+ Assign assign(m_expression, difference);
+ static const bool Vectorize = TensorEvaluator<const Assign, GpuDevice>::PacketAccess;
+ internal::TensorExecutor<const Assign, GpuDevice, Vectorize>::run(assign, m_device);
+ return *this;
+ }
+
protected:
const GpuDevice& m_device;
ExpressionType m_expression;
diff --git a/unsupported/Eigen/CXX11/src/Tensor/TensorFunctors.h b/unsupported/Eigen/CXX11/src/Tensor/TensorFunctors.h
index 38586d067..25f085a59 100644
--- a/unsupported/Eigen/CXX11/src/Tensor/TensorFunctors.h
+++ b/unsupported/Eigen/CXX11/src/Tensor/TensorFunctors.h
@@ -77,7 +77,7 @@ template <typename T> struct MeanReducer
}
template <typename Packet>
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE T finalizeBoth(const T saccum, const Packet& vaccum) const {
- return (saccum + predux(vaccum)) / (scalarCount_ + packetCount_ * packet_traits<Packet>::size);
+ return (saccum + predux(vaccum)) / (scalarCount_ + packetCount_ * unpacket_traits<Packet>::size);
}
protected:
diff --git a/unsupported/Eigen/CXX11/src/Tensor/TensorIO.h b/unsupported/Eigen/CXX11/src/Tensor/TensorIO.h
index a9d0f6c39..bdc6ddb87 100644
--- a/unsupported/Eigen/CXX11/src/Tensor/TensorIO.h
+++ b/unsupported/Eigen/CXX11/src/Tensor/TensorIO.h
@@ -30,14 +30,14 @@ std::ostream& operator << (std::ostream& os, const TensorBase<T, ReadOnlyAccesso
typedef typename internal::remove_const<typename T::Scalar>::type 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());
+ const Index total_size = tensor.dimensions().TotalSize();
// Print the tensor as a 1d vector or a 2d matrix.
if (internal::array_size<Dimensions>::value == 1) {
Map<const Array<Scalar, Dynamic, 1> > array(const_cast<Scalar*>(tensor.data()), total_size);
os << array;
} else {
- const Index first_dim = tensor.dimensions()[0];
+ const Index first_dim = Eigen::internal::array_get<0>(tensor.dimensions());
static const int layout = TensorEvaluator<const TensorForcedEvalOp<const T>, DefaultDevice>::Layout;
Map<const Array<Scalar, Dynamic, Dynamic, layout> > matrix(const_cast<Scalar*>(tensor.data()), first_dim, total_size/first_dim);
os << matrix;
diff --git a/unsupported/Eigen/CXX11/src/Tensor/TensorTraits.h b/unsupported/Eigen/CXX11/src/Tensor/TensorTraits.h
index 9a35b044d..0745b1742 100644
--- a/unsupported/Eigen/CXX11/src/Tensor/TensorTraits.h
+++ b/unsupported/Eigen/CXX11/src/Tensor/TensorTraits.h
@@ -65,7 +65,7 @@ struct traits<Tensor<Scalar_, NumIndices_, Options_> >
static const int Layout = Options_ & RowMajor ? RowMajor : ColMajor;
enum {
Options = Options_,
- Flags = compute_tensor_flags<Scalar_, Options_>::ret | LvalueBit,
+ Flags = compute_tensor_flags<Scalar_, Options_>::ret | (is_const<Scalar_>::value ? 0 : LvalueBit),
};
};
@@ -80,7 +80,7 @@ struct traits<TensorFixedSize<Scalar_, Dimensions, Options_> >
static const int Layout = Options_ & RowMajor ? RowMajor : ColMajor;
enum {
Options = Options_,
- Flags = compute_tensor_flags<Scalar_, Options_>::ret | LvalueBit,
+ Flags = compute_tensor_flags<Scalar_, Options_>::ret | (is_const<Scalar_>::value ? 0: LvalueBit),
};
};
@@ -97,7 +97,7 @@ struct traits<TensorMap<PlainObjectType, Options_> >
static const int Layout = BaseTraits::Layout;
enum {
Options = Options_,
- Flags = ((BaseTraits::Flags | LvalueBit) & ~AlignedBit) | (Options&Aligned ? AlignedBit : 0),
+ Flags = (BaseTraits::Flags & ~AlignedBit) | (Options&Aligned ? AlignedBit : 0),
};
};
@@ -113,7 +113,7 @@ struct traits<TensorRef<PlainObjectType> >
static const int Layout = BaseTraits::Layout;
enum {
Options = BaseTraits::Options,
- Flags = ((BaseTraits::Flags | LvalueBit) & ~AlignedBit) | (Options&Aligned ? AlignedBit : 0),
+ Flags = (BaseTraits::Flags & ~AlignedBit) | (Options&Aligned ? AlignedBit : 0),
};
};