Intel® oneAPI Deep Neural Network Developer Guide and Reference
A newer version of this document is available. Customers should click here to go to the newest version.
Visible to Intel only — GUID: GUID-138937AF-4BBC-4C42-9561-C644E9B2F877
Visible to Intel only — GUID: GUID-138937AF-4BBC-4C42-9561-C644E9B2F877
class dnnl::graph::tensor
Overview
A tensor object. More…
#include <dnnl_graph.hpp> class tensor: public tensor_handle { public: // construction tensor(); tensor(const logical_tensor& lt, const engine& aengine, void* handle); tensor(const logical_tensor& lt, const engine& aengine); // methods void* get_data_handle() const; void set_data_handle(void* handle); engine get_engine() const; logical_tensor get_logical_tensor() const; };
Detailed Documentation
A tensor object.
Construction
tensor()
Default constructor. Constructs an empty object.
tensor(const logical_tensor& lt, const engine& aengine, void* handle)
Constructs a tensor object according to a given logical tensor, an engine, and a memory handle.
Parameters:
lt |
The given logical tensor |
aengine |
Engine to store the data on. |
handle |
Handle of memory buffer to use as an underlying storage.
|
tensor(const logical_tensor& lt, const engine& aengine)
Constructs a tensor object.
The underlying buffer for the memory will be allocated by the library.
Parameters:
lt |
The given logical tensor |
aengine |
Engine to store the data on. |
Methods
void* get_data_handle() const
Returns the underlying memory buffer.
On the CPU engine, or when using USM, this is a pointer to the allocated memory.
void set_data_handle(void* handle)
Sets the underlying memory handle.
Parameters:
handle |
Memory handle. |
engine get_engine() const
Returns the associated engine.
Returns:
An engine object
logical_tensor get_logical_tensor() const
Returns the logical tensor of a tensor object.
Returns:
A logical_tensor object.