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Mila
Deep Neural Network Library
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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. | |
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.