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Mila 0.13.48
Deep Neural Network Library
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Exported Modules | |
| module | Compute.MemoryResource |
| module | Dnn.TensorTypes |
| module | Compute.DeviceId |
| module | Compute.Device |
| module | Dnn.Tensor |
| module | Logging.Logger |
| module | Dnn.Components.Linear |
| module | Dnn.TensorDataTypeTraits |
| module | Serialization.ModelArchive |
| module | Compute.ExecutionContextFactory |
| module | Dnn.Component |
| module | Compute.CpuMemoryResource |
| module | Dnn.ComponentType |
| module | Compute.IExecutionContext |
| module | Compute.BinaryOperation |
| module | Compute.OperationTraits |
| module | Compute.UnaryOperation |
| module | Dnn.TensorDataType |
| module | Compute.DeviceType |
| module | Serialization.Mode |
| module | Dnn.ITensor |
| module | Dnn.Components.ResidualConfig |
| module | Compute.DeviceTypeTraits |
Classes | |
| class | Mila::Dnn::Residual< TDeviceType, TPrecision > |
| Device-templated Residual connection component. More... | |
Typedefs | |
| using | ComponentBase = Component<TDeviceType, TPrecision> |
| using | MR = typename DeviceTypeTraits<TDeviceType>::memory_resource |
| using | OpType = typename OperationTraits<OperationType::ResidualOp, TDeviceType, TPrecision>::type |
| using | TensorType = Tensor<TPrecision, MR> |
Functions | |
| Residual (const std::string &name, const ResidualConfig &config, std::optional< DeviceId > device_id=std::nullopt) | |
| Construct Residual component with optional ExecutionContext ownership. | |
| ~Residual () override=default | |
| std::pair< TensorType &, TensorType & > | backward (const TensorType &input_a, const TensorType &input_b, const TensorType &output_grad) |
| Execute the backward pass and return component-owned gradient for input_a. | |
| void | createOperation () |
| Create backend BinaryOperation from OperationRegistry. | |
| TensorType & | forward (const TensorType &input_a, const TensorType &input_b) |
| Execute the forward pass and return component-owned output tensor. | |
| DeviceId | getDeviceId () const override |
| Get the compute device id associated with this component. | |
| std::vector< ITensor * > | getGradients () const override |
| Return non-owning pointers to parameter gradient tensors. | |
| MemoryStats | getMemoryStats () const override |
| Return the current memory allocation breakdown for this component. | |
| std::vector< ITensor * > | getParameters () const override |
| Return non-owning pointers to parameter tensors. | |
| const ComponentType | getType () const override |
| Get the component type identifier. | |
| void | onBuilding (const BuildContext &build_config) override |
| Build the Residual component from the provided BuildContext. | |
| void | onExecutionContextSet () override |
| Hook invoked after ExecutionContext is set on the base Component. | |
| void | onTrainingModeChanging (TrainingMode training_mode) override |
| Hook invoked when training mode is about to change. | |
| size_t | parameterCount () const override |
| Number of trainable parameters. | |
| void | save_ (ModelArchive &archive, SerializationMode mode) const override |
| Serialize component parameters into the provided archive. | |
| void | synchronize () override |
| Block until all device operations submitted by this component complete. | |
| std::string | toString () const override |
| Return a human-readable description of the component. | |
Variables | |
| ResidualConfig | config_ |
| std::unique_ptr< TensorType > | input_a_grad_ { nullptr } |
| std::unique_ptr< TensorType > | input_b_grad_ { nullptr } |
| shape_t | leading_shape_ |
| std::shared_ptr< OpType > | operation_ { nullptr } |
| std::unique_ptr< TensorType > | output_ { nullptr } |
| std::unique_ptr< TensorType > | output_view_ { nullptr } |
| std::unique_ptr< IExecutionContext > | owned_exec_context_ { nullptr } |
Files | |
| file | /__w/Mila/Mila/Mila/Src/Dnn/Components/Connections/Residual.ixx |
| Device-templated Residual connection component. | |