class ov::TensorAccessor¶
Overview¶
Tensor data accessor functor. More…
#include <tensor_data_accessor.hpp>
template <class TContainer>
class TensorAccessor: public ov::ITensorAccessor
{
public:
// construction
TensorAccessor(const TContainer \* tensors);
// methods
virtual Tensor operator () (size_t port) const;
virtual Tensor operator () (size_t port) const;
virtual Tensor operator () (size_t port) const;
virtual Tensor operator () (size_t port) const;
virtual Tensor operator () (size_t port) const;
virtual Tensor operator () (size_t port) const;
};
Inherited Members¶
public:
// methods
virtual Tensor operator () (size_t port) const = 0;
Detailed Documentation¶
Tensor data accessor functor.
Creates the ov::Tensor found in tensors container. This accessor not take ownership of tensors container. Supports following containers:
std::map<size_t, ngraph::HostTensorPtr>
Parameters:
TContainer |
Type of tensor container. |
Construction¶
TensorAccessor(const TContainer \* tensors)
Construct a new Tensor Accessor object for tensors container.
Parameters:
tensors |
Pointer to container with tensors. |
Methods¶
virtual Tensor operator () (size_t port) const
Get tensor for given port number.
Parameters:
port |
Port number to get data. |
Returns:
Tensor to data or empty tensor if data not found.
virtual Tensor operator () (size_t port) const
Get tensor at port.
Parameters:
port |
Number of data port (operator input) to get tensor. |
Returns:
Tensor to data at port.
virtual Tensor operator () (size_t port) const
Get tensor at port.
Parameters:
port |
Number of data port (operator input) to get tensor. |
Returns:
Tensor to data at port.
virtual Tensor operator () (size_t port) const
Get tensor at port.
Parameters:
port |
Number of data port (operator input) to get tensor. |
Returns:
Tensor to data at port.
virtual Tensor operator () (size_t port) const
Get tensor at port.
Parameters:
port |
Number of data port (operator input) to get tensor. |
Returns:
Tensor to data at port.
virtual Tensor operator () (size_t port) const
Get tensor at port.
Parameters:
port |
Number of data port (operator input) to get tensor. |
Returns:
Tensor to data at port.