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.