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Merged in mehdi_goli/opencl/DataDependancy (pull request PR-10)

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DataDependancy

* Wrapping data type to the pointer class for sycl in non-terminal nodes; not having that breaks Tensorflow Conv2d code.

* Applying Ronnan's Comments.

* Applying benoit's comments
This commit is contained in:
Benoit Steiner
2017-06-28 17:55:23 +00:00
parent b8e805497e
commit 53725c10b8
30 changed files with 118 additions and 40 deletions
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4
unsupported/Eigen/CXX11/src/Tensor/TensorConvolution.h
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@@ -231,6 +231,8 @@ struct traits<TensorConvolutionOp<Dimensions, InputXprType, KernelXprType> >
typedef typename remove_reference<RhsNested>::type _RhsNested;
static const int NumDimensions = traits<InputXprType>::NumDimensions;
static const int Layout = traits<InputXprType>::Layout;
typedef typename conditional<::Eigen::internal::Pointer_type_promotion<typename InputXprType::Scalar, Scalar>::val,
typename traits<InputXprType>::PointerType, typename traits<KernelXprType>::PointerType>::type PointerType;
enum {
Flags = 0
@@ -465,7 +467,7 @@ struct TensorEvaluator<const TensorConvolutionOp<Indices, InputArgType, KernelAr
PacketSize));
}
EIGEN_DEVICE_FUNC Scalar* data() const { return NULL; }
EIGEN_DEVICE_FUNC typename Eigen::internal::traits<XprType>::PointerType data() const { return NULL; }
private:
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Index firstInput(Index index) const {