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

backward(const Tensor< float, MR > &input, 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_gradient, const OperationAttributes &properties, const std::vector< std::shared_ptr< Tensor< float, MR > > > &output_state) const	Mila::Dnn::Compute::CpuMultiHeadAttentionOp	inline
UnaryOperation< DeviceType::Cpu, float >::backward(const Tensor< float, MR > &grad, const std::vector< std::shared_ptr< Tensor< float, MR > > > &parameters, std::vector< std::shared_ptr< Tensor< float, MR > > > &output_grads) const	Mila::Dnn::Compute::UnaryOperation< DeviceType::Cpu, float >	inlinevirtual
UnaryOperation< DeviceType::Cpu, float >::backward(const Tensor< float, MR > &input, const Tensor< float, MR > &output_grad, const std::vector< std::shared_ptr< Tensor< float, MR > > > &parameters, std::vector< std::shared_ptr< Tensor< float, MR > > > &parameter_grads, Tensor< float, MR > &input_grad, const OperationAttributes &properties, const std::vector< std::shared_ptr< Tensor< float, MR > > > &output_state) const	Mila::Dnn::Compute::UnaryOperation< DeviceType::Cpu, float >	inlinevirtual
backward_impl(float dinp, float dpreatt, float datt, float dout, float inp, float att, int B, int T, int C, int NH) const	Mila::Dnn::Compute::CpuMultiHeadAttentionOp	inline
config_	Mila::Dnn::Compute::CpuMultiHeadAttentionOp	private
CpuMultiHeadAttentionOp(const MultiHeadAttentionConfig &config)	Mila::Dnn::Compute::CpuMultiHeadAttentionOp	inline
CpuMultiHeadAttentionOp(std::shared_ptr< DeviceContext > context, const MultiHeadAttentionConfig &config)	Mila::Dnn::Compute::CpuMultiHeadAttentionOp	inline
device_context_	Mila::Dnn::Compute::OperationBase< TDeviceType, TInput1, TInput2, TOutput >	private
forward(const Tensor< float, MR > &input, const std::vector< std::shared_ptr< Tensor< float, MR > > > &parameters, const OperationAttributes &properties, Tensor< float, MR > &output, std::vector< std::shared_ptr< Tensor< float, MR > > > &output_state) const override	Mila::Dnn::Compute::CpuMultiHeadAttentionOp	inline
UnaryOperation< DeviceType::Cpu, float >::forward(const Tensor< float, MR > &input, const std::vector< std::shared_ptr< Tensor< float, MR > > > &parameters, const OperationAttributes &properties, Tensor< float, MR > &output, std::vector< std::shared_ptr< Tensor< float, MR > > > &output_state) const=0	Mila::Dnn::Compute::UnaryOperation< DeviceType::Cpu, 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::CpuMultiHeadAttentionOp	inlinevirtual
getOperationType() const	Mila::Dnn::Compute::OperationBase< TDeviceType, TInput1, TInput2, TOutput >	inline
MR typedef	Mila::Dnn::Compute::CpuMultiHeadAttentionOp
operation_type_	Mila::Dnn::Compute::OperationBase< TDeviceType, TInput1, TInput2, TOutput >	private
OperationBase typedef	Mila::Dnn::Compute::CpuMultiHeadAttentionOp
UnaryOperation< DeviceType::Cpu, float >::OperationBase(OperationType operation_type, std::shared_ptr< DeviceContext > context)	Mila::Dnn::Compute::OperationBase< TDeviceType, TInput1, TInput2, TOutput >	inline
UnaryOperation(OperationType operation_type)	Mila::Dnn::Compute::UnaryOperation< DeviceType::Cpu, float >	inline
UnaryOperation(OperationType operation_type, std::shared_ptr< DeviceContext > context)	Mila::Dnn::Compute::UnaryOperation< DeviceType::Cpu, float >	inline
~OperationBase()=default	Mila::Dnn::Compute::OperationBase< TDeviceType, TInput1, TInput2, TOutput >	virtual
~UnaryOperation()=default	Mila::Dnn::Compute::UnaryOperation< DeviceType::Cpu, float >	virtual