Mila
Deep Neural Network Library
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Implementation of the CrossEntropy loss function module. More...
#include <memory>
#include <vector>
#include <string>
#include <iostream>
#include <sstream>
#include <type_traits>
#include <cstdint>
import Serialization.ModelArchive;
import Compute.CudaMemoryResource;
import Compute.CpuMemoryResource;
import Compute.MemoryResource;
import Dnn.Modules.CrossEntropy:Config;
import Dnn.Module;
import Dnn.Tensor;
import Dnn.TensorTraits;
import Dnn.TensorHelpers;
import Compute.DeviceType;
import Compute.OperationBase;
import Compute.Precision;
import Compute.UnaryOperation;
import Compute.ComputeDevice;
import Compute.OperationAttributes;
import Compute.DeviceContext;
import Compute.OperationRegistry;
Classes | |
class | Mila::Dnn::CrossEntropy< TDeviceType, TLogits, TTargets > |
CrossEntropy loss module for neural networks. More... | |
Namespaces | |
namespace | Mila |
namespace | Mila::Dnn |
Typedefs | |
template<typename TLogits = float, typename TTargets = int> | |
using | Mila::Dnn::CpuCrossEntropy = CrossEntropy< DeviceType::Cpu, TLogits, TTargets > |
Type alias for CPU-based cross entropy module with customizable tensor types. | |
template<typename TLogits = float, typename TTargets = int> | |
using | Mila::Dnn::CudaCrossEntropy = CrossEntropy< DeviceType::Cuda, TLogits, TTargets > |
Type alias for CUDA-based cross entropy module with customizable tensor types. | |
Implementation of the CrossEntropy loss function module.