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

bug #1567: add optimized path for tensor broadcasting and 'Channel First' shape

Browse Source
This commit is contained in:
Gael Guennebaud
2018-07-09 11:23:16 +02:00
parent ec323b7e66
commit 6190aa5632
2 changed files with 123 additions and 4 deletions
Download Patch File Download Diff File Expand all files Collapse all files

70
unsupported/Eigen/CXX11/src/Tensor/TensorBroadcasting.h
View File

@@ -161,6 +161,22 @@ struct TensorEvaluator<const TensorBroadcastingOp<Broadcast, ArgType>, Device>
}
}
}
// Handle special format like NCHW, its input shape is '[1, N..., 1]' and
// broadcast shape is '[N, 1..., N]'
if (!oneByN && !nByOne) {
if (input_dims[0] == 1 && input_dims[NumDims-1] == 1 && NumDims > 2) {
nByOne = true;
oneByN = true;
for (int i = 1; i < NumDims-1; ++i) {
if (broadcast[i] != 1) {
nByOne = false;
oneByN = false;
break;
}
}
}
}
}
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Dimensions& dimensions() const { return m_dimensions; }
@@ -256,24 +272,70 @@ struct TensorEvaluator<const TensorBroadcastingOp<Broadcast, ArgType>, Device>
}
if (static_cast<int>(Layout) == static_cast<int>(ColMajor)) {
if (oneByN) {
if (oneByN && !nByOne) {
return packetNByOne<LoadMode>(index);
} else if (nByOne) {
} else if (!oneByN && nByOne) {
return packetOneByN<LoadMode>(index);
} else if (oneByN && nByOne) {
return packetOneByNByOne<LoadMode>(index);
} else {
return packetColMajor<LoadMode>(index);
}
} else {
if (oneByN) {
if (oneByN && !nByOne) {
return packetOneByN<LoadMode>(index);
} else if (nByOne) {
} else if (!oneByN && nByOne) {
return packetNByOne<LoadMode>(index);
} else if (oneByN && nByOne) {
return packetOneByNByOne<LoadMode>(index);
} else {
return packetRowMajor<LoadMode>(index);
}
}
}
template<int LoadMode>
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE PacketReturnType packetOneByNByOne
(Index index) const
{
EIGEN_STATIC_ASSERT((PacketSize > 1), YOU_MADE_A_PROGRAMMING_MISTAKE)
eigen_assert(index+PacketSize-1 < dimensions().TotalSize());
EIGEN_ALIGN_MAX typename internal::remove_const<CoeffReturnType>::type values[PacketSize];
Index startDim, endDim;
Index inputIndex, outputOffset, batchedIndex;
if (static_cast<int>(Layout) == static_cast<int>(ColMajor)) {
startDim = NumDims - 1;
endDim = 1;
} else {
startDim = 0;
endDim = NumDims - 2;
}
batchedIndex = index % m_outputStrides[startDim];
inputIndex = batchedIndex / m_outputStrides[endDim];
outputOffset = batchedIndex % m_outputStrides[endDim];
if (outputOffset + PacketSize <= m_outputStrides[endDim]) {
values[0] = m_impl.coeff(inputIndex);
return internal::pload1<PacketReturnType>(values);
} else {
for (int i = 0, cur = 0; i < PacketSize; ++i, ++cur) {
if (outputOffset + cur < m_outputStrides[endDim]) {
values[i] = m_impl.coeff(inputIndex);
} else {
++inputIndex;
inputIndex = (inputIndex == m_inputStrides[startDim] ? 0 : inputIndex);
values[i] = m_impl.coeff(inputIndex);
outputOffset = 0;
cur = 0;
}
}
return internal::pload<PacketReturnType>(values);
}
}
template<int LoadMode>
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE PacketReturnType packetOneByN(Index index) const
{