Mila
Deep Neural Network Library
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Implementation of the CUDA-based GELU activation function for neural networks. More...
#include <vector>
#include <memory>
#include <iostream>
#include <cuda_fp16.h>
#include "Kernels/CudaOps.h"
#include <stdexcept>
#include <type_traits>
import Compute.CudaDevice;
import Compute.CudaMemoryResource;
import Dnn.Modules.Gelu;
import Dnn.Tensor;
import Compute.OperationAttributes;
import Compute.Precision;
import Dnn.ComponentConfig;
import Compute.DeviceContext;
import Compute.UnaryOperation;
import Compute.OperationType;
import Compute.OperationBase;
import Compute.OperationRegistry;
import Dnn.TensorTraits;
import Compute.DeviceType;
import Compute.MemoryResource;
Classes | |
struct | Mila::Dnn::Compute::Detail::cuda_gelu_impl< float > |
struct | Mila::Dnn::Compute::Detail::cuda_gelu_impl< half > |
class | Mila::Dnn::Compute::CudaGeluOp< TDataType > |
CUDA implementation of the GELU activation function for neural networks. More... | |
class | Mila::Dnn::Compute::CudaGeluOpRegistrar |
Class responsible for registering the CudaGeluOp operation. More... | |
Namespaces | |
namespace | Mila |
namespace | Mila::Dnn |
namespace | Mila::Dnn::Compute |
namespace | Mila::Dnn::Compute::Detail |
Namespace for CUDA layer normalization implementation details. | |
Typedefs | |
using | Mila::Dnn::Compute::Detail::BackwardFp16Func = void(*)(half *, const half *, const half *, int, cudaStream_t) |
using | Mila::Dnn::Compute::Detail::BackwardFp32Func = void(*)(float *, const float *, const float *, int, cudaStream_t) |
using | Mila::Dnn::Compute::Detail::ForwardFp16Func = void(*)(half *, const half *, int, cudaStream_t) |
using | Mila::Dnn::Compute::Detail::ForwardFp32Func = void(*)(float *, const float *, int, cudaStream_t) |
Implementation of the CUDA-based GELU activation function for neural networks.