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authorGravatar Eugene Zhulenev <ezhulenev@google.com>2019-06-28 11:22:46 -0700
committerGravatar Eugene Zhulenev <ezhulenev@google.com>2019-06-28 11:22:46 -0700
commit6e7c76481adeef47535aff2e15526ffa0d00eee0 (patch)
tree352e6e1c3235f781f47a805e93370a5bf5f27287 /unsupported/Eigen/CXX11/src/Tensor/TensorForcedEval.h
parent878845cb25c1ba9e56883fd0654eafb55a22fc34 (diff)
parent1f61aee5ca3a1372e7cabf6dc8725d4b54ec54ce (diff)
Merge with Eigen head
Diffstat (limited to 'unsupported/Eigen/CXX11/src/Tensor/TensorForcedEval.h')
-rw-r--r--unsupported/Eigen/CXX11/src/Tensor/TensorForcedEval.h38
1 files changed, 23 insertions, 15 deletions
diff --git a/unsupported/Eigen/CXX11/src/Tensor/TensorForcedEval.h b/unsupported/Eigen/CXX11/src/Tensor/TensorForcedEval.h
index 186457a31..27a15bfb2 100644
--- a/unsupported/Eigen/CXX11/src/Tensor/TensorForcedEval.h
+++ b/unsupported/Eigen/CXX11/src/Tensor/TensorForcedEval.h
@@ -78,9 +78,10 @@ class TensorForcedEvalOp : public TensorBase<TensorForcedEvalOp<XprType>, ReadOn
};
-template<typename ArgType, typename Device>
-struct TensorEvaluator<const TensorForcedEvalOp<ArgType>, Device>
+template<typename ArgType_, typename Device>
+struct TensorEvaluator<const TensorForcedEvalOp<ArgType_>, Device>
{
+ typedef const typename internal::remove_all<ArgType_>::type ArgType;
typedef TensorForcedEvalOp<ArgType> XprType;
typedef typename ArgType::Scalar Scalar;
typedef typename TensorEvaluator<ArgType, Device>::Dimensions Dimensions;
@@ -88,6 +89,9 @@ struct TensorEvaluator<const TensorForcedEvalOp<ArgType>, Device>
typedef typename XprType::CoeffReturnType 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 = true,
@@ -106,8 +110,8 @@ struct TensorEvaluator<const TensorForcedEvalOp<ArgType>, Device>
TensorBlockReader;
EIGEN_DEVICE_FUNC TensorEvaluator(const XprType& op, const Device& device)
- /// op_ is used for sycl
- : m_impl(op.expression(), device), m_op(op.expression()), m_device(device), m_buffer(NULL)
+ : m_impl(op.expression(), device), m_op(op.expression()),
+ m_device(device), m_buffer(NULL)
{ }
EIGEN_DEVICE_FUNC const Dimensions& dimensions() const { return m_impl.dimensions(); }
@@ -115,18 +119,19 @@ struct TensorEvaluator<const TensorForcedEvalOp<ArgType>, Device>
#if !defined(EIGEN_HIPCC)
EIGEN_DEVICE_FUNC
#endif
- EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(CoeffReturnType*) {
+ EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(EvaluatorPointerType) {
const Index numValues = internal::array_prod(m_impl.dimensions());
- m_buffer = (CoeffReturnType*)m_device.allocate_temp(numValues * sizeof(CoeffReturnType));
+ m_buffer = m_device.get((CoeffReturnType*)m_device.allocate_temp(numValues * sizeof(CoeffReturnType)));
+ #ifndef EIGEN_USE_SYCL
// Should initialize the memory in case we're dealing with non POD types.
if (NumTraits<CoeffReturnType>::RequireInitialization) {
for (Index i = 0; i < numValues; ++i) {
new(m_buffer+i) CoeffReturnType();
}
}
+ #endif
typedef TensorEvalToOp< const typename internal::remove_const<ArgType>::type > EvalTo;
- EvalTo evalToTmp(m_buffer, m_op);
-
+ EvalTo evalToTmp(m_device.get(m_buffer), m_op);
const bool Vectorize = internal::IsVectorizable<Device, const ArgType>::value;
const bool Tile = TensorEvaluator<const ArgType, Device>::BlockAccess &&
TensorEvaluator<const ArgType, Device>::PreferBlockAccess;
@@ -165,17 +170,20 @@ struct TensorEvaluator<const TensorForcedEvalOp<ArgType>, Device>
}
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
- typename Eigen::internal::traits<XprType>::PointerType data() const { return m_buffer; }
+ EvaluatorPointerType data() const { return m_buffer; }
- /// required by sycl in order to extract the sycl accessor
- EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const TensorEvaluator<ArgType, Device>& impl() { return m_impl; }
- /// used by sycl in order to build the sycl buffer
- EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Device& device() const{return m_device;}
+#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_buffer.bind(cgh);
+ m_impl.bind(cgh);
+ }
+#endif
private:
TensorEvaluator<ArgType, Device> m_impl;
const ArgType m_op;
- const Device& m_device;
- CoeffReturnType* m_buffer;
+ const Device m_device;
+ EvaluatorPointerType m_buffer;
};