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authorGravatar Mehdi Goli <mehdi.goli@codeplay.com>2019-06-28 10:08:23 +0100
committerGravatar Mehdi Goli <mehdi.goli@codeplay.com>2019-06-28 10:08:23 +0100
commit7d08fa805a38f9ebb9e0e487c4e2d23d32a0fcde (patch)
treefbff4d80b6b373dcd53632de4c1fab5c393bdd64 /unsupported/Eigen/CXX11/src/Tensor/TensorGenerator.h
parent16a56b2dddbfaf2d4b81d62be5e3139f12783ac8 (diff)
[SYCL] This PR adds the minimum modifications to the Eigen unsupported module required to run it on devices supporting SYCL.
* 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.
Diffstat (limited to 'unsupported/Eigen/CXX11/src/Tensor/TensorGenerator.h')
-rw-r--r--unsupported/Eigen/CXX11/src/Tensor/TensorGenerator.h22
1 files changed, 10 insertions, 12 deletions
diff --git a/unsupported/Eigen/CXX11/src/Tensor/TensorGenerator.h b/unsupported/Eigen/CXX11/src/Tensor/TensorGenerator.h
index 204a6fd33..b7ad33626 100644
--- a/unsupported/Eigen/CXX11/src/Tensor/TensorGenerator.h
+++ b/unsupported/Eigen/CXX11/src/Tensor/TensorGenerator.h
@@ -88,6 +88,8 @@ struct TensorEvaluator<const TensorGeneratorOp<Generator, ArgType>, Device>
typedef typename XprType::Scalar Scalar;
typedef typename XprType::CoeffReturnType CoeffReturnType;
typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnType;
+ typedef StorageMemory<CoeffReturnType, Device> Storage;
+ typedef typename Storage::Type EvaluatorPointerType;
enum {
IsAligned = false,
PacketAccess = (PacketType<CoeffReturnType, Device>::size > 1),
@@ -104,22 +106,21 @@ struct TensorEvaluator<const TensorGeneratorOp<Generator, ArgType>, Device>
TensorBlock;
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorEvaluator(const XprType& op, const Device& device)
- : m_device(device), m_generator(op.generator())
-#ifdef EIGEN_USE_SYCL
- , m_argImpl(op.expression(), device)
-#endif
+ : m_device(device), m_generator(op.generator())
{
TensorEvaluator<ArgType, Device> argImpl(op.expression(), device);
m_dimensions = argImpl.dimensions();
if (static_cast<int>(Layout) == static_cast<int>(ColMajor)) {
m_strides[0] = 1;
+ EIGEN_UNROLL_LOOP
for (int i = 1; i < NumDims; ++i) {
m_strides[i] = m_strides[i - 1] * m_dimensions[i - 1];
if (m_strides[i] != 0) m_fast_strides[i] = IndexDivisor(m_strides[i]);
}
} else {
m_strides[NumDims - 1] = 1;
+ EIGEN_UNROLL_LOOP
for (int i = NumDims - 2; i >= 0; --i) {
m_strides[i] = m_strides[i + 1] * m_dimensions[i + 1];
if (m_strides[i] != 0) m_fast_strides[i] = IndexDivisor(m_strides[i]);
@@ -129,7 +130,7 @@ struct TensorEvaluator<const TensorGeneratorOp<Generator, ArgType>, Device>
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Dimensions& dimensions() const { return m_dimensions; }
- EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(Scalar* /*data*/) {
+ EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(EvaluatorPointerType /*data*/) {
return true;
}
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void cleanup() {
@@ -234,11 +235,11 @@ struct TensorEvaluator<const TensorGeneratorOp<Generator, ArgType>, Device>
TensorOpCost::MulCost<Scalar>());
}
- EIGEN_DEVICE_FUNC typename Eigen::internal::traits<XprType>::PointerType data() const { return NULL; }
+ EIGEN_DEVICE_FUNC EvaluatorPointerType data() const { return NULL; }
#ifdef EIGEN_USE_SYCL
- EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const TensorEvaluator<ArgType, Device>& impl() const { return m_argImpl; }
- EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Generator& functor() const { return m_generator; }
+ // binding placeholder accessors to a command group handler for SYCL
+ EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void bind(cl::sycl::handler&) const {}
#endif
protected:
@@ -261,14 +262,11 @@ struct TensorEvaluator<const TensorGeneratorOp<Generator, ArgType>, Device>
}
}
- const Device& m_device;
+ const Device EIGEN_DEVICE_REF m_device;
Dimensions m_dimensions;
array<Index, NumDims> m_strides;
array<IndexDivisor, NumDims> m_fast_strides;
Generator m_generator;
-#ifdef EIGEN_USE_SYCL
- TensorEvaluator<ArgType, Device> m_argImpl;
-#endif
};
} // end namespace Eigen