Mila
Deep Neural Network Library
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Implementation of the transformer encoder block for neural networks. More...
#include <memory>
#include <vector>
#include <string>
#include <iostream>
#include <sstream>
#include <stdexcept>
#include <iosfwd>
import Serialization.ModelArchive;
import Dnn.Modules.Dropout;
import Dnn.Modules.Attention;
import Dnn.Modules.Linear;
import Dnn.Blocks.TransformerBlock:Config;
import Dnn.Tensor;
import Dnn.TensorTraits;
import Dnn.Module;
import Compute.Precision;
import Compute.ComputeDevice;
import Dnn.Blocks.MLP;
import Dnn.Modules.Residual;
import Compute.CudaMemoryResource;
import Compute.DeviceType;
import Dnn.Modules.LayerNorm;
import Compute.DeviceContext;
import Compute.MemoryResource;
import Compute.CpuMemoryResource;
import Dnn.CompositeModule;
Classes | |
class | Mila::Dnn::TransformerBlock< TDeviceType, TDataType > |
TransformerBlock implements a standard transformer encoder block. More... | |
Namespaces | |
namespace | Mila |
namespace | Mila::Dnn |
Typedefs | |
template<typename TDataType = float> | |
using | Mila::Dnn::CpuTransformerBlock = TransformerBlock< DeviceType::Cpu, TDataType > |
Type alias for CPU-based transformer block with customizable tensor type. | |
template<typename TDataType = float> | |
using | Mila::Dnn::CudaTransformerBlock = TransformerBlock< DeviceType::Cuda, TDataType > |
Type alias for CUDA-based transformer block with customizable tensor type. | |
Implementation of the transformer encoder block for neural networks.