Enabled the vectorized evaluation of several tensor expressions that was previously disabled by mistake

This commit is contained in:
Benoit Steiner 2015-07-01 11:32:04 -07:00
parent 44eedd8915
commit 925d0d375a
11 changed files with 42 additions and 34 deletions

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@ -106,8 +106,7 @@ class TensorChippingOp : public TensorBase<TensorChippingOp<DimId, XprType> >
{
typedef TensorAssignOp<TensorChippingOp, const TensorChippingOp> Assign;
Assign assign(*this, other);
static const bool Vectorize = TensorEvaluator<const Assign, DefaultDevice>::PacketAccess;
internal::TensorExecutor<const Assign, DefaultDevice, Vectorize>::run(assign, DefaultDevice());
internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
return *this;
}
@ -117,8 +116,7 @@ class TensorChippingOp : public TensorBase<TensorChippingOp<DimId, XprType> >
{
typedef TensorAssignOp<TensorChippingOp, const OtherDerived> Assign;
Assign assign(*this, other);
static const bool Vectorize = TensorEvaluator<const Assign, DefaultDevice>::PacketAccess;
internal::TensorExecutor<const Assign, DefaultDevice, Vectorize>::run(assign, DefaultDevice());
internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
return *this;
}

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@ -88,7 +88,7 @@ class TensorConcatenationOp : public TensorBase<TensorConcatenationOp<Axis, LhsX
{
typedef TensorAssignOp<TensorConcatenationOp, const TensorConcatenationOp> Assign;
Assign assign(*this, other);
internal::TensorExecutor<const Assign, DefaultDevice, false>::run(assign, DefaultDevice());
internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
return *this;
}
@ -98,7 +98,7 @@ class TensorConcatenationOp : public TensorBase<TensorConcatenationOp<Axis, LhsX
{
typedef TensorAssignOp<TensorConcatenationOp, const OtherDerived> Assign;
Assign assign(*this, other);
internal::TensorExecutor<const Assign, DefaultDevice, false>::run(assign, DefaultDevice());
internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
return *this;
}
@ -334,7 +334,7 @@ template<typename Axis, typename LeftArgType, typename RightArgType, typename De
eigen_assert(index + packetSize - 1 < this->dimensions().TotalSize());
EIGEN_ALIGN_DEFAULT CoeffReturnType values[packetSize];
PacketReturnType rslt = internal::pstore<PacketReturnType>(values, x);
internal::pstore<CoeffReturnType, PacketReturnType>(values, x);
for (int i = 0; i < packetSize; ++i) {
coeffRef(index+i) = values[i];
}

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@ -510,7 +510,7 @@ struct TensorEvaluator<const TensorConvolutionOp<Indices, InputArgType, KernelAr
Scalar* local = (Scalar*)m_device.allocate(kernel_sz);
typedef TensorEvalToOp<const KernelArgType> EvalTo;
EvalTo evalToTmp(local, m_kernelArg);
internal::TensorExecutor<const EvalTo, Device, TensorEvaluator<KernelArgType, Device>::PacketAccess>::run(evalToTmp, m_device);
internal::TensorExecutor<const EvalTo, Device>::run(evalToTmp, m_device);
m_kernel = local;
m_local_kernel = true;
@ -815,7 +815,7 @@ struct TensorEvaluator<const TensorConvolutionOp<Indices, InputArgType, KernelAr
Scalar* local = (Scalar*)m_device.allocate(kernel_sz);
typedef TensorEvalToOp<const KernelArgType> EvalTo;
EvalTo evalToTmp(local, m_kernelArg);
internal::TensorExecutor<const EvalTo, GpuDevice, TensorEvaluator<KernelArgType, GpuDevice>::PacketAccess>::run(evalToTmp, m_device);
internal::TensorExecutor<const EvalTo, GpuDevice>::run(evalToTmp, m_device);
m_kernel = local;
m_local_kernel = true;

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@ -22,13 +22,8 @@ namespace Eigen {
*/
namespace internal {
template <typename Device, typename Expression>
struct IsVectorizable {
static const bool value = TensorEvaluator<Expression, Device>::PacketAccess;
};
// Default strategy: the expression is evaluated with a single cpu thread.
template<typename Expression, typename Device = DefaultDevice, bool Vectorizable = IsVectorizable<Device, Expression>::value>
template<typename Expression, typename Device, bool Vectorizable>
class TensorExecutor
{
public:
@ -198,10 +193,6 @@ EigenMetaKernel_Vectorizable(Evaluator memcopied_eval, Index size) {
}
}
template <typename Expression>
struct IsVectorizable<GpuDevice, Expression> {
static const bool value = TensorEvaluator<Expression, GpuDevice>::PacketAccess && TensorEvaluator<Expression, GpuDevice>::IsAligned;
};
template<typename Expression>
class TensorExecutor<Expression, GpuDevice, false>

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@ -116,7 +116,7 @@ struct TensorEvaluator<const TensorForcedEvalOp<ArgType>, Device>
}
typedef TensorEvalToOp<const ArgType> EvalTo;
EvalTo evalToTmp(m_buffer, m_op);
internal::TensorExecutor<const EvalTo, Device, TensorEvaluator<ArgType, Device>::PacketAccess>::run(evalToTmp, m_device);
internal::TensorExecutor<const EvalTo, Device>::run(evalToTmp, m_device);
m_impl.cleanup();
return true;
}

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@ -51,8 +51,27 @@ template<typename XprType> class TensorForcedEvalOp;
template<typename ExpressionType, typename DeviceType> class TensorDevice;
template<typename Derived, typename Device> struct TensorEvaluator;
class DefaultDevice;
class ThreadPoolDevice;
class GpuDevice;
namespace internal {
template<typename Expression, typename Device, bool Vectorizable> class TensorExecutor;
template <typename Device, typename Expression>
struct IsVectorizable {
static const bool value = TensorEvaluator<Expression, Device>::PacketAccess;
};
template <typename Expression>
struct IsVectorizable<GpuDevice, Expression> {
static const bool value = TensorEvaluator<Expression, GpuDevice>::PacketAccess &&
TensorEvaluator<Expression, GpuDevice>::IsAligned;
};
template <typename Expression, typename Device,
bool Vectorizable = IsVectorizable<Device, Expression>::value>
class TensorExecutor;
} // end namespace internal
} // end namespace Eigen

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@ -90,7 +90,7 @@ class TensorLayoutSwapOp : public TensorBase<TensorLayoutSwapOp<XprType>, WriteA
{
typedef TensorAssignOp<TensorLayoutSwapOp, const TensorLayoutSwapOp> Assign;
Assign assign(*this, other);
internal::TensorExecutor<const Assign, DefaultDevice, false>::run(assign, DefaultDevice());
internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
return *this;
}
@ -100,7 +100,7 @@ class TensorLayoutSwapOp : public TensorBase<TensorLayoutSwapOp<XprType>, WriteA
{
typedef TensorAssignOp<TensorLayoutSwapOp, const OtherDerived> Assign;
Assign assign(*this, other);
internal::TensorExecutor<const Assign, DefaultDevice, false>::run(assign, DefaultDevice());
internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
return *this;
}

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@ -78,7 +78,7 @@ class TensorReshapingOp : public TensorBase<TensorReshapingOp<NewDimensions, Xpr
{
typedef TensorAssignOp<TensorReshapingOp, const TensorReshapingOp> Assign;
Assign assign(*this, other);
internal::TensorExecutor<const Assign, DefaultDevice, false>::run(assign, DefaultDevice());
internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
return *this;
}
@ -88,7 +88,7 @@ class TensorReshapingOp : public TensorBase<TensorReshapingOp<NewDimensions, Xpr
{
typedef TensorAssignOp<TensorReshapingOp, const OtherDerived> Assign;
Assign assign(*this, other);
internal::TensorExecutor<const Assign, DefaultDevice, false>::run(assign, DefaultDevice());
internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
return *this;
}
@ -262,7 +262,7 @@ class TensorSlicingOp : public TensorBase<TensorSlicingOp<StartIndices, Sizes, X
{
typedef TensorAssignOp<TensorSlicingOp, const OtherDerived> Assign;
Assign assign(*this, other);
internal::TensorExecutor<const Assign, DefaultDevice, false>::run(assign, DefaultDevice());
internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
return *this;
}
@ -271,7 +271,7 @@ class TensorSlicingOp : public TensorBase<TensorSlicingOp<StartIndices, Sizes, X
{
typedef TensorAssignOp<TensorSlicingOp, const TensorSlicingOp> Assign;
Assign assign(*this, other);
internal::TensorExecutor<const Assign, DefaultDevice, false>::run(assign, DefaultDevice());
internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
return *this;
}
@ -411,7 +411,7 @@ struct TensorEvaluator<const TensorSlicingOp<StartIndices, Sizes, ArgType>, Devi
{
const int packetSize = internal::unpacket_traits<PacketReturnType>::size;
EIGEN_STATIC_ASSERT(packetSize > 1, YOU_MADE_A_PROGRAMMING_MISTAKE)
eigen_assert(index+packetSize-1 < dimensions().TotalSize());
eigen_assert(index+packetSize-1 < array_prod(dimensions()));
Index inputIndices[] = {0, 0};
Index indices[] = {index, index + packetSize - 1};

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@ -80,7 +80,7 @@ class TensorReverseOp : public TensorBase<TensorReverseOp<ReverseDimensions,
{
typedef TensorAssignOp<TensorReverseOp, const TensorReverseOp> Assign;
Assign assign(*this, other);
internal::TensorExecutor<const Assign, DefaultDevice, false>::run(assign, DefaultDevice());
internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
return *this;
}
@ -90,7 +90,7 @@ class TensorReverseOp : public TensorBase<TensorReverseOp<ReverseDimensions,
{
typedef TensorAssignOp<TensorReverseOp, const OtherDerived> Assign;
Assign assign(*this, other);
internal::TensorExecutor<const Assign, DefaultDevice, false>::run(assign, DefaultDevice());
internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
return *this;
}

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@ -78,7 +78,7 @@ class TensorShufflingOp : public TensorBase<TensorShufflingOp<Shuffle, XprType>
{
typedef TensorAssignOp<TensorShufflingOp, const TensorShufflingOp> Assign;
Assign assign(*this, other);
internal::TensorExecutor<const Assign, DefaultDevice, false>::run(assign, DefaultDevice());
internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
return *this;
}
@ -88,7 +88,7 @@ class TensorShufflingOp : public TensorBase<TensorShufflingOp<Shuffle, XprType>
{
typedef TensorAssignOp<TensorShufflingOp, const OtherDerived> Assign;
Assign assign(*this, other);
internal::TensorExecutor<const Assign, DefaultDevice, false>::run(assign, DefaultDevice());
internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
return *this;
}

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@ -78,7 +78,7 @@ class TensorStridingOp : public TensorBase<TensorStridingOp<Strides, XprType> >
{
typedef TensorAssignOp<TensorStridingOp, const TensorStridingOp> Assign;
Assign assign(*this, other);
internal::TensorExecutor<const Assign, DefaultDevice, false>::run(assign, DefaultDevice());
internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
return *this;
}
@ -88,7 +88,7 @@ class TensorStridingOp : public TensorBase<TensorStridingOp<Strides, XprType> >
{
typedef TensorAssignOp<TensorStridingOp, const OtherDerived> Assign;
Assign assign(*this, other);
internal::TensorExecutor<const Assign, DefaultDevice, false>::run(assign, DefaultDevice());
internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
return *this;
}