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

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* 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
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31
unsupported/Eigen/CXX11/src/Tensor/TensorScan.h
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@@ -86,12 +86,15 @@ struct TensorEvaluator<const TensorScanOp<Op, ArgType>, Device> {
typedef TensorScanOp<Op, ArgType> XprType;
typedef typename XprType::Index Index;
typedef const ArgType ChildType;
static const int NumDims = internal::array_size<typename TensorEvaluator<ArgType, Device>::Dimensions>::value;
typedef DSizes<Index, NumDims> Dimensions;
typedef typename internal::remove_const<typename XprType::Scalar>::type Scalar;
typedef typename XprType::CoeffReturnType CoeffReturnType;
typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnType;
typedef TensorEvaluator<const TensorScanOp<Op, ArgType>, Device> Self;
typedef StorageMemory<Scalar, Device> Storage;
typedef typename Storage::Type EvaluatorPointerType;
enum {
IsAligned = false,
@@ -110,7 +113,7 @@ struct TensorEvaluator<const TensorScanOp<Op, ArgType>, Device> {
m_exclusive(op.exclusive()),
m_accumulator(op.accumulator()),
m_size(m_impl.dimensions()[op.axis()]),
m_stride(1),
m_stride(1), m_consume_dim(op.axis()),
m_output(NULL) {
// Accumulating a scalar isn't supported.
@@ -142,6 +145,10 @@ struct TensorEvaluator<const TensorScanOp<Op, ArgType>, Device> {
return m_stride;
}
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Index& consume_dim() const {
return m_consume_dim;
}
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Index& size() const {
return m_size;
}
@@ -162,7 +169,7 @@ struct TensorEvaluator<const TensorScanOp<Op, ArgType>, Device> {
return m_device;
}
EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(Scalar* data) {
EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(EvaluatorPointerType data) {
m_impl.evalSubExprsIfNeeded(NULL);
ScanLauncher<Self, Op, Device> launcher;
if (data) {
@@ -171,7 +178,7 @@ struct TensorEvaluator<const TensorScanOp<Op, ArgType>, Device> {
}
const Index total_size = internal::array_prod(dimensions());
m_output = static_cast<CoeffReturnType*>(m_device.allocate(total_size * sizeof(Scalar)));
m_output = static_cast<EvaluatorPointerType>(m_device.get((Scalar*) m_device.allocate_temp(total_size * sizeof(Scalar))));
launcher(*this, m_output);
return true;
}
@@ -181,7 +188,7 @@ struct TensorEvaluator<const TensorScanOp<Op, ArgType>, Device> {
return internal::ploadt<PacketReturnType, LoadMode>(m_output + index);
}
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE typename Eigen::internal::traits<XprType>::PointerType data() const
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE EvaluatorPointerType data() const
{
return m_output;
}
@@ -196,21 +203,29 @@ struct TensorEvaluator<const TensorScanOp<Op, ArgType>, Device> {
}
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void cleanup() {
if (m_output != NULL) {
m_device.deallocate(m_output);
if (m_output) {
m_device.deallocate_temp(m_output);
m_output = NULL;
}
m_impl.cleanup();
}
#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_output.bind(cgh);
}
#endif
protected:
TensorEvaluator<ArgType, Device> m_impl;
const Device& m_device;
const Device EIGEN_DEVICE_REF m_device;
const bool m_exclusive;
Op m_accumulator;
const Index m_size;
Index m_stride;
CoeffReturnType* m_output;
Index m_consume_dim;
EvaluatorPointerType m_output;
};
// CPU implementation of scan