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Merge with upstream eigen/default

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This commit is contained in:
Eugene Zhulenev
2018-08-27 14:34:07 -07:00
parent 35d90e8960 5747288676
commit c144bb355b
49 changed files with 668 additions and 556 deletions
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9
unsupported/Eigen/CXX11/src/Tensor/TensorBroadcasting.h
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@@ -105,7 +105,7 @@ struct TensorEvaluator<const TensorBroadcastingOp<Broadcast, ArgType>, Device>
typedef typename XprType::CoeffReturnType CoeffReturnType;
typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnType;
static const int PacketSize = PacketType<CoeffReturnType, Device>::size;
bool isCopy= false, nByOne = false, oneByN = false;
bool isCopy, nByOne, oneByN;
enum {
IsAligned = true,
@@ -134,9 +134,10 @@ struct TensorEvaluator<const TensorBroadcastingOp<Broadcast, ArgType>, Device>
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorEvaluator(const XprType& op,
const Device& device)
: m_device(device),
m_broadcast(op.broadcast()),
m_impl(op.expression(), device) {
: isCopy(false), nByOne(false), oneByN(false),
m_device(device), m_broadcast(op.broadcast()), m_impl(op.expression(), device)
{
// The broadcasting op doesn't change the rank of the tensor. One can't broadcast a scalar
// and store the result in a scalar. Instead one should reshape the scalar into a a N-D
// tensor with N >= 1 of 1 element first and then broadcast.