Eigen::TensorDevice< ExpressionType, DeviceType > Class Template Reference

Pseudo expression providing an operator = that will evaluate its argument on the specified computing 'device' (GPU, thread pool, ...) More...

Public Member Functions
template<typename OtherDerived >
TensorDevice &	operator+= (const OtherDerived &other)
template<typename OtherDerived >
TensorDevice &	operator-= (const OtherDerived &other)
template<typename OtherDerived >
TensorDevice &	operator= (const OtherDerived &other)
	TensorDevice (const DeviceType &device, ExpressionType &expression)

Protected Attributes
const DeviceType &	m_device
ExpressionType &	m_expression

Detailed Description

template<typename ExpressionType, typename DeviceType>
class Eigen::TensorDevice< ExpressionType, DeviceType >

Pseudo expression providing an operator = that will evaluate its argument on the specified computing 'device' (GPU, thread pool, ...)

Example: C.device(EIGEN_GPU) = A + B;

Todo: operator *= and /=.

Definition at line 29 of file TensorDevice.h.

Constructor & Destructor Documentation

TensorDevice()

template<typename ExpressionType , typename DeviceType >

Eigen::TensorDevice< ExpressionType, DeviceType >::TensorDevice ( const DeviceType &  device, ExpressionType &  expression  )

inline

Definition at line 31 of file TensorDevice.h.

: m_device(device), m_expression(expression) {}

Member Function Documentation

operator+=()

template<typename ExpressionType , typename DeviceType >

template<typename OtherDerived >

TensorDevice& Eigen::TensorDevice< ExpressionType, DeviceType >::operator+= ( const OtherDerived &  other )

inline

Definition at line 44 of file TensorDevice.h.

                                                                            {
      typedef typename OtherDerived::Scalar Scalar;
      typedef TensorCwiseBinaryOp<internal::scalar_sum_op<Scalar>, const ExpressionType, const OtherDerived> Sum;
      Sum sum(m_expression, other);
      typedef TensorAssignOp<ExpressionType, const Sum> Assign;
      Assign assign(m_expression, sum);
      internal::TensorExecutor<const Assign, DeviceType>::run(assign, m_device);
      return *this;
    }

operator-=()

template<typename ExpressionType , typename DeviceType >

template<typename OtherDerived >

TensorDevice& Eigen::TensorDevice< ExpressionType, DeviceType >::operator-= ( const OtherDerived &  other )

inline

Definition at line 55 of file TensorDevice.h.

                                                                            {
      typedef typename OtherDerived::Scalar Scalar;
      typedef TensorCwiseBinaryOp<internal::scalar_difference_op<Scalar>, const ExpressionType, const OtherDerived> Difference;
      Difference difference(m_expression, other);
      typedef TensorAssignOp<ExpressionType, const Difference> Assign;
      Assign assign(m_expression, difference);
      internal::TensorExecutor<const Assign, DeviceType>::run(assign, m_device);
      return *this;
    }

operator=()

template<typename ExpressionType , typename DeviceType >

template<typename OtherDerived >

TensorDevice& Eigen::TensorDevice< ExpressionType, DeviceType >::operator= ( const OtherDerived &  other )

inline

Definition at line 36 of file TensorDevice.h.

                                                                           {
      typedef TensorAssignOp<ExpressionType, const OtherDerived> Assign;
      Assign assign(m_expression, other);
      internal::TensorExecutor<const Assign, DeviceType>::run(assign, m_device);
      return *this;
    }

Member Data Documentation

m_device

template<typename ExpressionType , typename DeviceType >

const DeviceType& Eigen::TensorDevice< ExpressionType, DeviceType >::m_device

protected

Definition at line 66 of file TensorDevice.h.

m_expression

template<typename ExpressionType , typename DeviceType >

ExpressionType& Eigen::TensorDevice< ExpressionType, DeviceType >::m_expression

protected

Definition at line 67 of file TensorDevice.h.

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The documentation for this class was generated from the following file:

• TensorDevice.h