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

[SYCL] This PR adds the minimum modifications to the Eigen unsupported module required to run it on devices supporting SYCL.

Browse Source 
* Abstracting the pointer type so that both SYCL memory and pointer can be captured.
* Converting SYCL virtual pointer to SYCL device memory in Eigen evaluator class.
* Binding SYCL placeholder accessor to command group handler by using bind method in Eigen evaluator node.
* Adding SYCL macro for controlling loop unrolling.
* Modifying the TensorDeviceSycl.h and SYCL executor method to adopt the above changes.
This commit is contained in:
Mehdi Goli
2019-06-28 10:08:23 +01:00
parent 16a56b2ddd
commit 7d08fa805a
47 changed files with 1983 additions and 951 deletions
Download Patch File Download Diff File Expand all files Collapse all files

34
unsupported/Eigen/CXX11/src/Tensor/TensorEvalTo.h
View File

@@ -42,7 +42,6 @@ struct traits<TensorEvalToOp<XprType, MakePointer_> >
// Intermediate typedef to workaround MSVC issue.
typedef MakePointer_<T> MakePointerT;
typedef typename MakePointerT::Type Type;
typedef typename MakePointerT::RefType RefType;
};
@@ -103,7 +102,9 @@ struct TensorEvaluator<const TensorEvalToOp<ArgType, MakePointer_>, Device>
typedef typename internal::remove_const<typename XprType::CoeffReturnType>::type CoeffReturnType;
typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnType;
static const int PacketSize = PacketType<CoeffReturnType, Device>::size;
typedef typename Eigen::internal::traits<XprType>::PointerType TensorPointerType;
typedef StorageMemory<CoeffReturnType, Device> Storage;
typedef typename Storage::Type EvaluatorPointerType;
enum {
IsAligned = TensorEvaluator<ArgType, Device>::IsAligned,
PacketAccess = TensorEvaluator<ArgType, Device>::PacketAccess,
@@ -115,22 +116,16 @@ struct TensorEvaluator<const TensorEvalToOp<ArgType, MakePointer_>, Device>
};
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorEvaluator(const XprType& op, const Device& device)
: m_impl(op.expression(), device), m_device(device),
m_buffer(op.buffer()), m_op(op), m_expression(op.expression())
{ }
: m_impl(op.expression(), device), m_buffer(device.get(op.buffer())), m_expression(op.expression()){}
// Used for accessor extraction in SYCL Managed TensorMap:
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const XprType& op() const {
return m_op;
}
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE ~TensorEvaluator() {
}
typedef typename internal::traits<const TensorEvalToOp<ArgType, MakePointer_> >::template MakePointer<CoeffReturnType>::Type DevicePointer;
EIGEN_DEVICE_FUNC const Dimensions& dimensions() const { return m_impl.dimensions(); }
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(DevicePointer scalar) {
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(EvaluatorPointerType scalar) {
EIGEN_UNUSED_VARIABLE(scalar);
eigen_assert(scalar == NULL);
return m_impl.evalSubExprsIfNeeded(m_buffer);
@@ -165,19 +160,20 @@ struct TensorEvaluator<const TensorEvalToOp<ArgType, MakePointer_>, Device>
TensorOpCost(0, sizeof(CoeffReturnType), 0, vectorized, PacketSize);
}
EIGEN_DEVICE_FUNC DevicePointer data() const { return m_buffer; }
EIGEN_DEVICE_FUNC EvaluatorPointerType data() const { return m_buffer; }
ArgType expression() const { return m_expression; }
#ifdef EIGEN_USE_SYCL
// binding placeholder accessors to a command group handler for SYCL
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void bind(cl::sycl::handler &cgh) const {
m_impl.bind(cgh);
m_buffer.bind(cgh);
}
#endif
/// required by sycl in order to extract the accessor
const TensorEvaluator<ArgType, Device>& impl() const { return m_impl; }
/// added for sycl in order to construct the buffer from the sycl device
const Device& device() const{return m_device;}
private:
TensorEvaluator<ArgType, Device> m_impl;
const Device& m_device;
DevicePointer m_buffer;
const XprType& m_op;
EvaluatorPointerType m_buffer;
const ArgType m_expression;
};