NVIDIA NvNeural SDK  2022.2
GPU inference framework for NVIDIA Nsight Deep Learning Designer
ICudaInputLayer.h
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23 
25 
26 #ifndef NVNEURAL_ICUDAINPUTLAYER_H
27 #define NVNEURAL_ICUDAINPUTLAYER_H
28 
29 #include <nvneural/CoreTypes.h>
30 
31 namespace nvneural {
32 
37 {
38 public:
40  static const IRefObject::TypeId typeID = 0x66f6b04c4edaf310ul;
41 
53  virtual NeuralResult copyCudaTensorAsync(const void* pBuffer, TensorDimension bufferSize) noexcept = 0;
54 };
55 
56 } // namespace nvneural
57 
58 #endif
Fundamental NvNeural data types are declared here.
NeuralResult
NeuralResult is a generic success/failure result type similar to COM HRESULT.
Definition: CoreTypes.h:275
Defines an input layer that accepts data from CUDA device memory.
Definition: ICudaInputLayer.h:37
virtual NeuralResult copyCudaTensorAsync(const void *pBuffer, TensorDimension bufferSize) noexcept=0
Loads a raw tensor from a CUDA device pointer.
static const IRefObject::TypeId typeID
Interface TypeId for InterfaceOf purposes.
Definition: ICudaInputLayer.h:40
Base class for all objects, similar to COM's IUnknown.
Definition: CoreTypes.h:343
std::uint64_t TypeId
Every interface must define a unique TypeId. This should be randomized.
Definition: CoreTypes.h:349
TensorDimension describes the dimensions of a four-dimensional image tensor.
Definition: CoreTypes.h:136