Mila
Deep Neural Network Library
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Residual.ixx File Reference

Implementation of the Residual connection module for neural networks. More...

#include <memory>
#include <vector>
#include <string>
#include <iostream>
#include <sstream>
#include <type_traits>
#include <stdexcept>
import Dnn.Modules.Linear;
import Serialization.ModelArchive;
import Compute.CudaMemoryResource;
import Compute.CpuMemoryResource;
import Compute.MemoryResource;
import Dnn.Modules.Residual:Config;
import Dnn.Module;
import Dnn.Tensor;
import Compute.OperationRegistry;
import Compute.BinaryOperation;
import Dnn.TensorTraits;
import Compute.Precision;
import Compute.ComputeDevice;
import Compute.DeviceType;
import Dnn.TensorHelpers;
import Compute.OperationAttributes;
import Compute.OperationBase;
import Compute.DeviceContext;

Classes

class  Mila::Dnn::Residual< TDeviceType, TInput, TOutput >
 A class implementing a residual connection module. More...
 

Namespaces

namespace  Mila
 
namespace  Mila::Dnn
 

Typedefs

template<typename TInput = float, typename TOutput = TInput>
using Mila::Dnn::CpuResidual = Residual< DeviceType::Cpu, TInput, TOutput >
 Type alias for CPU-based residual module with customizable tensor types.
 
template<typename TInput = float, typename TOutput = TInput>
using Mila::Dnn::CudaResidual = Residual< DeviceType::Cuda, TInput, TOutput >
 Type alias for CUDA-based residual module with customizable tensor types.
 

Detailed Description

Implementation of the Residual connection module for neural networks.

Provides a flexible implementation of residual connections which can be configured with different connection types and scaling factors. Supports automatic dimension matching via projection layers.