|
Mila
Deep Neural Network Library
|
Implementation of the Encoder module for token and positional embeddings in transformer models. More...
#include <memory>#include <vector>#include <string>#include <iostream>#include <sstream>#include <type_traits>#include <cuda_fp16.h>import Compute.CpuMemoryResource;import Dnn.TensorHelpers;import Compute.OperationRegistry;import Dnn.Module;import Dnn.Tensor;import Compute.UnaryOperation;import Dnn.TensorTraits;import Compute.CudaMemoryResource;import Compute.CudaDevice;import Compute.OperationBase;import Dnn.Modules.Encoder:Config;import Compute.DeviceType;import Serialization.ModelArchive;import Compute.DeviceContext;import Compute.OperationAttributes;import Compute.MemoryResource;import Compute.CpuDevice;Classes | |
| class | Mila::Dnn::Encoder< TDeviceType, TInput, TOutput > |
| An encoder module that provides token and positional embeddings. More... | |
Namespaces | |
| namespace | Mila |
| namespace | Mila::Dnn |
Typedefs | |
| template<typename TInput = int, typename TOutput = float> | |
| using | Mila::Dnn::CpuEncoder = Encoder< DeviceType::Cpu, TInput, TOutput > |
| Type alias for CPU-based encoder module with customizable tensor types. | |
| template<typename TInput = int, typename TOutput = float> | |
| using | Mila::Dnn::CudaEncoder = Encoder< DeviceType::Cuda, TInput, TOutput > |
| Type alias for CUDA-based encoder module with customizable tensor types. | |
Implementation of the Encoder module for token and positional embeddings in transformer models.