Mila 0.13.48
Deep Neural Network Library
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Mila::Dnn::Compute::BinaryOperation< TDeviceType, TPrecision, TInputA, TInputB > Member List

This is the complete list of members for Mila::Dnn::Compute::BinaryOperation< TDeviceType, TPrecision, TInputA, TInputB >, including all inherited members.

asLeftTensor(const ITensor &t)Mila::Dnn::Compute::BinaryOperation< TDeviceType, TPrecision, TInputA, TInputB >inlineprotectedstatic
asOutputTensor(ITensor &t)Mila::Dnn::Compute::BinaryOperation< TDeviceType, TPrecision, TInputA, TInputB >inlineprotectedstatic
asRightTensor(const ITensor &t)Mila::Dnn::Compute::BinaryOperation< TDeviceType, TPrecision, TInputA, TInputB >inlineprotectedstatic
backward(const ITensor &input_a, const ITensor &input_b, const ITensor &output_grad, ITensor &input_a_grad, ITensor &input_b_grad) const =0Mila::Dnn::Compute::BinaryOperation< TDeviceType, TPrecision, TInputA, TInputB >pure virtual
build(const BuildContext &build_context)Mila::Dnn::Compute::Operation< TDeviceType, TPrecision >inlinevirtual
clearGradients() noexceptMila::Dnn::Compute::Operation< TDeviceType, TPrecision >inlinevirtual
data_typeMila::Dnn::Compute::Operation< TDeviceType, TPrecision >static
DataTypeTraits typedefMila::Dnn::Compute::Operation< TDeviceType, TPrecision >
device_typeMila::Dnn::Compute::Operation< TDeviceType, TPrecision >static
forward(const ITensor &input_a, const ITensor &input_b, ITensor &output) const =0Mila::Dnn::Compute::BinaryOperation< TDeviceType, TPrecision, TInputA, TInputB >pure virtual
getDataType() constMila::Dnn::Compute::Operation< TDeviceType, TPrecision >inlinevirtual
getDeviceType() constMila::Dnn::Compute::Operation< TDeviceType, TPrecision >inlinevirtual
getName() const=0Mila::Dnn::Compute::Operation< TDeviceType, TPrecision >pure virtual
getOperationType() const=0Mila::Dnn::Compute::Operation< TDeviceType, TPrecision >pure virtual
getStateMemorySize() constMila::Dnn::Compute::Operation< TDeviceType, TPrecision >inlinevirtual
is_built_Mila::Dnn::Compute::Operation< TDeviceType, TPrecision >protected
isBuilt() constMila::Dnn::Compute::Operation< TDeviceType, TPrecision >inlinevirtual
isEvalMode() constMila::Dnn::Compute::Operation< TDeviceType, TPrecision >inlinevirtual
MR typedefMila::Dnn::Compute::BinaryOperation< TDeviceType, TPrecision, TInputA, TInputB >
ParameterGradTensor typedefMila::Dnn::Compute::BinaryOperation< TDeviceType, TPrecision, TInputA, TInputB >
ParameterTensor typedefMila::Dnn::Compute::BinaryOperation< TDeviceType, TPrecision, TInputA, TInputB >
setGradients(ITensor *weight_grad, ITensor *bias_grad)Mila::Dnn::Compute::Operation< TDeviceType, TPrecision >inlinevirtual
setParameters(ITensor *weight, ITensor *bias)Mila::Dnn::Compute::Operation< TDeviceType, TPrecision >inlinevirtual
setTrainingMode(TrainingMode training_mode)Mila::Dnn::Compute::Operation< TDeviceType, TPrecision >inlinevirtual
TensorLeftType typedefMila::Dnn::Compute::BinaryOperation< TDeviceType, TPrecision, TInputA, TInputB >
TensorOutputType typedefMila::Dnn::Compute::BinaryOperation< TDeviceType, TPrecision, TInputA, TInputB >
TensorRightType typedefMila::Dnn::Compute::BinaryOperation< TDeviceType, TPrecision, TInputA, TInputB >
training_mode_Mila::Dnn::Compute::Operation< TDeviceType, TPrecision >protected
~BinaryOperation()=defaultMila::Dnn::Compute::BinaryOperation< TDeviceType, TPrecision, TInputA, TInputB >virtual
~Operation()=defaultMila::Dnn::Compute::Operation< TDeviceType, TPrecision >virtual