devtools/eigen
1
0
Fork 0
mirror of https://gitlab.com/libeigen/eigen.git synced 2026-04-10 11:34:33 +08:00
Code Issues Packages Projects Releases Wiki Activity

Add tiled evaluation for TensorForcedEvalOp

Browse Source
This commit is contained in:
Eugene Zhulenev
2019-03-04 16:02:22 -08:00
parent 694084ecbd
commit b95941e5c2
2 changed files with 58 additions and 6 deletions
Download Patch File Download Diff File Expand all files Collapse all files

25
unsupported/Eigen/CXX11/src/Tensor/TensorForcedEval.h
View File

@@ -90,14 +90,21 @@ struct TensorEvaluator<const TensorForcedEvalOp<ArgType>, Device>
static const int PacketSize = PacketType<CoeffReturnType, Device>::size;
enum {
IsAligned = true,
PacketAccess = (PacketType<CoeffReturnType, Device>::size > 1),
BlockAccess = false,
IsAligned = true,
PacketAccess = (PacketType<CoeffReturnType, Device>::size > 1),
BlockAccess = internal::is_arithmetic<CoeffReturnType>::value,
PreferBlockAccess = false,
Layout = TensorEvaluator<ArgType, Device>::Layout,
RawAccess = true
Layout = TensorEvaluator<ArgType, Device>::Layout,
RawAccess = true
};
typedef typename internal::TensorBlock<
CoeffReturnType, Index, internal::traits<ArgType>::NumDimensions, Layout>
TensorBlock;
typedef typename internal::TensorBlockReader<
CoeffReturnType, Index, internal::traits<ArgType>::NumDimensions, Layout>
TensorBlockReader;
EIGEN_DEVICE_FUNC TensorEvaluator(const XprType& op, const Device& device)
/// op_ is used for sycl
: m_impl(op.expression(), device), m_op(op.expression()), m_device(device), m_buffer(NULL)
@@ -139,6 +146,14 @@ struct TensorEvaluator<const TensorForcedEvalOp<ArgType>, Device>
return internal::ploadt<PacketReturnType, LoadMode>(m_buffer + index);
}
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void getResourceRequirements(
std::vector<internal::TensorOpResourceRequirements>*) const {}
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void block(TensorBlock* block) const {
assert(m_buffer != NULL);
TensorBlockReader::Run(block, m_buffer);
}
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorOpCost costPerCoeff(bool vectorized) const {
return TensorOpCost(sizeof(CoeffReturnType), 0, 0, vectorized, PacketSize);
}