Uses of Class
org.bytedeco.tensorrt.nvinfer.PluginTensorDesc

Packages that use PluginTensorDesc

Package	Description
org.bytedeco.tensorrt.nvinfer

Uses of PluginTensorDesc in org.bytedeco.tensorrt.nvinfer

Methods in org.bytedeco.tensorrt.nvinfer that return PluginTensorDesc

Modifier and Type	Method and Description
PluginTensorDesc	DynamicPluginTensorDesc.desc() Information required to interpret a pointer to tensor data, except that desc.dims has -1 in place of any runtime dimension.
PluginTensorDesc	PluginTensorDesc.dims(Dims32 setter)
PluginTensorDesc	PluginTensorDesc.format(nvinfer.TensorFormat setter)
PluginTensorDesc	PluginTensorDesc.getPointer(long i)
PluginTensorDesc	PluginTensorDesc.position(long position)
PluginTensorDesc	PluginTensorDesc.scale(float setter)
PluginTensorDesc	PluginTensorDesc.type(nvinfer.DataType setter)

Methods in org.bytedeco.tensorrt.nvinfer with parameters of type PluginTensorDesc

Modifier and Type	Method and Description
void	IPluginV2IOExt.configurePlugin(PluginTensorDesc in, int nbInput, PluginTensorDesc out, int nbOutput) \brief Configure the layer.
DynamicPluginTensorDesc	DynamicPluginTensorDesc.desc(PluginTensorDesc setter)
int	IPluginV2DynamicExt.enqueue(PluginTensorDesc inputDesc, PluginTensorDesc outputDesc, Pointer inputs, Pointer outputs, Pointer workspace, org.bytedeco.cuda.cudart.CUstream_st stream)
int	IPluginV2DynamicExt.enqueue(PluginTensorDesc inputDesc, PluginTensorDesc outputDesc, PointerPointer inputs, PointerPointer outputs, Pointer workspace, org.bytedeco.cuda.cudart.CUstream_st stream) \brief Execute the layer.
long	IPluginV2DynamicExt.getWorkspaceSize(PluginTensorDesc inputs, int nbInputs, PluginTensorDesc outputs, int nbOutputs) \brief Find the workspace size required by the layer.
boolean	IPluginV2IOExt.supportsFormatCombination(int pos, PluginTensorDesc inOut, int nbInputs, int nbOutputs) \brief Return true if plugin supports the format and datatype for the input/output indexed by pos.
boolean	IPluginV2DynamicExt.supportsFormatCombination(int pos, PluginTensorDesc inOut, int nbInputs, int nbOutputs) \brief Return true if plugin supports the format and datatype for the input/output indexed by pos.