GitHub-Proxy/eigen
1
0
Fork 0
mirror of https://gitlab.com/libeigen/eigen.git synced 2025-08-11 19:29:02 +08:00
Code Issues Packages Projects Releases Wiki Activity

Make it possible for a vectorized tensor expression to be executed in a CUDA kernel.

Browse Source
This commit is contained in:
Benoit Steiner 2015-11-11 15:22:50 -08:00
parent 4f471146fb
commit 7f1c29fb0c
1 changed files with 2 additions and 1 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

3
unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h
View File

@ -50,6 +50,7 @@ class TensorExecutor<Expression, DefaultDevice, true>
{
public:
typedef typename Expression::Index Index;
EIGEN_DEVICE_FUNC
static inline void run(const Expression& expr, const DefaultDevice& device = DefaultDevice())
{
TensorEvaluator<Expression, DefaultDevice> evaluator(expr, device);
@ -57,7 +58,7 @@ class TensorExecutor<Expression, DefaultDevice, true>
if (needs_assign)
{
const Index size = array_prod(evaluator.dimensions());
static const int PacketSize = unpacket_traits<typename TensorEvaluator<Expression, DefaultDevice>::PacketReturnType>::size;
const int PacketSize = unpacket_traits<typename TensorEvaluator<Expression, DefaultDevice>::PacketReturnType>::size;
const Index VectorizedSize = (size / PacketSize) * PacketSize;
for (Index i = 0; i < VectorizedSize; i += PacketSize) {