Mila
Deep Neural Network Library
|
Implementation of the Linear (fully connected) module for neural networks. More...
#include <memory>
#include <vector>
#include <string>
#include <optional>
#include <iostream>
#include <sstream>
#include <type_traits>
#include <stdexcept>
import Compute.CudaMemoryResource;
import Compute.CpuMemoryResource;
import Compute.MemoryResource;
import Dnn.Modules.Linear:Config;
import Dnn.Module;
import Dnn.TensorTraits;
import Dnn.TensorHelpers;
import Serialization.ModelArchive;
import Compute.ComputeDevice;
import Dnn.Tensor;
import Compute.DeviceType;
import Compute.Precision;
import Compute.OperationBase;
import Compute.OperationAttributes;
import Compute.UnaryOperation;
import Compute.DeviceContext;
import Compute.OperationRegistry;
Classes | |
class | Mila::Dnn::Linear< TDeviceType, TInput, TOutput > |
A class representing a linear transformation module. More... | |
Namespaces | |
namespace | Mila |
namespace | Mila::Dnn |
Typedefs | |
template<typename TInput = float, typename TOutput = TInput> | |
using | Mila::Dnn::CpuLinear = Linear< DeviceType::Cpu, TInput, TOutput > |
Type alias for CPU-based linear module with customizable tensor types. | |
template<typename TInput = float, typename TOutput = TInput> | |
using | Mila::Dnn::CudaLinear = Linear< DeviceType::Cuda, TInput, TOutput > |
Type alias for CUDA-based linear module with customizable tensor types. | |
Implementation of the Linear (fully connected) module for neural networks.