This is the complete list of members for Mila::Dnn::Compute::CpuResidualOp, including all inherited members.

backward(const Tensor< float, MR > &input_a, const Tensor< float, MR > &input_b, const Tensor< float, MR > &output, const Tensor< float, MR > &output_gradient, const std::vector< std::shared_ptr< Tensor< float, MR > > > &parameters, std::vector< std::shared_ptr< Tensor< float, MR > > > &parameter_gradients, Tensor< float, MR > &input_a_gradient, Tensor< float, MR > &input_b_gradient, const OperationAttributes &attributes, const std::vector< std::shared_ptr< Tensor< float, MR > > > &output_state) const	Mila::Dnn::Compute::CpuResidualOp	inline
BinaryOperation< DeviceType::Cpu, float, float, float >::backward(const Tensor< float, MR > &input1, const Tensor< float, MR > &input2, const Tensor< float, MR > &output, const Tensor< float, MR > &output_gradient, const std::vector< std::shared_ptr< Tensor< float, MR > > > &parameters, std::vector< std::shared_ptr< Tensor< float, MR > > > &parameter_gradients, Tensor< float, MR > &input1_gradient, Tensor< float, MR > &input2_gradient, const OperationAttributes &attributes, const std::vector< std::shared_ptr< Tensor< float, MR > > > &output_state) const	Mila::Dnn::Compute::BinaryOperation< DeviceType::Cpu, float, float, float >	inlinevirtual
backward_impl(float dinp1, float dinp2, const float *dout, int N) const	Mila::Dnn::Compute::CpuResidualOp	inline
BinaryOperation(OperationType operation_type)	Mila::Dnn::Compute::BinaryOperation< DeviceType::Cpu, float, float, float >	inline
BinaryOperation(OperationType operation_type, std::shared_ptr< DeviceContext > context)	Mila::Dnn::Compute::BinaryOperation< DeviceType::Cpu, float, float, float >	inline
className()	Mila::Dnn::Compute::CpuResidualOp	inlinestatic
CpuResidualOp(const ResidualConfig &config)	Mila::Dnn::Compute::CpuResidualOp	inline
CpuResidualOp(std::shared_ptr< DeviceContext > context, const ResidualConfig &config)	Mila::Dnn::Compute::CpuResidualOp	inline
device_context_	Mila::Dnn::Compute::OperationBase< TDeviceType, TInput1, TInput2, TOutput >	private
forward(const Tensor< float, MR > &input_a, const Tensor< float, MR > &input_b, const std::vector< std::shared_ptr< Tensor< float, MR > > > &parameters, const OperationAttributes &attributes, Tensor< float, MR > &output, std::vector< std::shared_ptr< Tensor< float, MR > > > &output_state) const override	Mila::Dnn::Compute::CpuResidualOp	inline
BinaryOperation< DeviceType::Cpu, float, float, float >::forward(const Tensor< float, MR > &input1, const Tensor< float, MR > &input2, const std::vector< std::shared_ptr< Tensor< float, MR > > > &parameters, const OperationAttributes &attributes, Tensor< float, MR > &output, std::vector< std::shared_ptr< Tensor< float, MR > > > &output_state) const=0	Mila::Dnn::Compute::BinaryOperation< DeviceType::Cpu, float, float, float >	pure virtual
getDeviceContext() const	Mila::Dnn::Compute::OperationBase< TDeviceType, TInput1, TInput2, TOutput >	inline
getDeviceType() const	Mila::Dnn::Compute::OperationBase< TDeviceType, TInput1, TInput2, TOutput >	inline
getName() const override	Mila::Dnn::Compute::CpuResidualOp	inlinevirtual
getOperationType() const	Mila::Dnn::Compute::OperationBase< TDeviceType, TInput1, TInput2, TOutput >	inline
MR typedef	Mila::Dnn::Compute::CpuResidualOp
operation_type_	Mila::Dnn::Compute::OperationBase< TDeviceType, TInput1, TInput2, TOutput >	private
OperationBase typedef	Mila::Dnn::Compute::CpuResidualOp
BinaryOperation< DeviceType::Cpu, float, float, float >::OperationBase(OperationType operation_type, std::shared_ptr< DeviceContext > context)	Mila::Dnn::Compute::OperationBase< TDeviceType, TInput1, TInput2, TOutput >	inline
~BinaryOperation()=default	Mila::Dnn::Compute::BinaryOperation< DeviceType::Cpu, float, float, float >	virtual
~OperationBase()=default	Mila::Dnn::Compute::OperationBase< TDeviceType, TInput1, TInput2, TOutput >	virtual