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Mila
Deep Neural Network Library
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Implementation of Multi-Layer Perceptron (MLP) block for neural networks. More...
#include <iostream>#include <sstream>#include <memory>#include <string>#include <type_traits>#include <vector>import Serialization.ModelArchive;import Dnn.Modules.LayerNorm;import Dnn.Modules.Gelu;import Dnn.Modules.Linear;import Dnn.Modules.Residual;import Dnn.Modules.Dropout;import Dnn.ActivationType;import Dnn.Tensor;import Dnn.Blocks.MLP:Config;import Dnn.TensorTraits;import Compute.MemoryResource;import Compute.OperationRegistry;import Compute.DeviceContext;import Dnn.Module;import Dnn.CompositeModule;import Compute.Precision;import Compute.ComputeDevice;import Compute.DeviceType;import Compute.CpuMemoryResource;import Compute.CudaMemoryResource;Classes | |
| class | Mila::Dnn::MLP< TDeviceType, TDataType > |
| Multi-Layer Perceptron (MLP) block for neural networks. More... | |
Namespaces | |
| namespace | Mila |
| namespace | Mila::Dnn |
Typedefs | |
| template<typename TDataType = float> | |
| using | Mila::Dnn::CpuMLP = MLP< DeviceType::Cpu, TDataType > |
| Type alias for CPU-based MLP module with customizable tensor type. | |
| template<typename TDataType = float> | |
| using | Mila::Dnn::CudaMLP = MLP< DeviceType::Cuda, TDataType > |
| Type alias for CUDA-based MLP module with customizable tensor type. | |
Implementation of Multi-Layer Perceptron (MLP) block for neural networks.