Group Inference Request base classes#

group ov_dev_api_sync_infer_request_api

A set of base and helper classes to implement a syncrhonous inference request class.

class ISyncInferRequest : public ov::IInferRequest#
#include <isync_infer_request.hpp>

Interface for syncronous infer request.

Public Functions

ISyncInferRequest(const std::shared_ptr<const ov::ICompiledModel> &compiled_model)#

Constructs syncronous inference request.

Parameters:

compiled_model – pointer to compiled model

virtual ov::SoPtr<ov::ITensor> get_tensor(const ov::Output<const ov::Node> &port) const override#

Gets an input/output tensor for inference.

Note

If the tensor with the specified port is not found, an exception is thrown.

Parameters:

port – Port of the tensor to get.

Returns:

Tensor for the port port.

virtual void set_tensor(const ov::Output<const ov::Node> &port, const ov::SoPtr<ov::ITensor> &tensor) override#

Sets an input/output tensor to infer.

Parameters:

  • port – Port of the input or output tensor.

  • tensor – Reference to a tensor. The element_type and shape of a tensor must match the model’s input/output element_type and size.

virtual std::vector<ov::SoPtr<ov::ITensor>> get_tensors(const ov::Output<const ov::Node> &port) const override#

Gets a batch of tensors for input data to infer by input port. Model input must have batch dimension, and the number of tensors must match the batch size. The current version supports setting tensors to model inputs only. If port is associated with output (or any other non-input node), an exception is thrown.

Parameters:

  • port – Port of the input tensor.

  • tensors – Input tensors for batched infer request. The type of each tensor must match the model input element type and shape (except batch dimension). Total size of tensors must match the input size.

Returns:

vector of tensors

virtual void set_tensors(const ov::Output<const ov::Node> &port, const std::vector<ov::SoPtr<ov::ITensor>> &tensors) override#

Sets a batch of tensors for input data to infer by input port. Model input must have batch dimension, and the number of tensors must match the batch size. The current version supports setting tensors to model inputs only. If port is associated with output (or any other non-input node), an exception is thrown.

Parameters:

  • port – Port of the input tensor.

  • tensors – Input tensors for batched infer request. The type of each tensor must match the model input element type and shape (except batch dimension). Total size of tensors must match the input size.

virtual const std::vector<ov::Output<const ov::Node>> &get_inputs() const override#

Gets inputs for infer request.

Returns:

vector of input ports

virtual const std::vector<ov::Output<const ov::Node>> &get_outputs() const override#

Gets outputs for infer request.

Returns:

vector of output ports

virtual const std::shared_ptr<const ov::ICompiledModel> &get_compiled_model() const override#

Gets pointer to compiled model (usually synchronous request holds the compiled model)

Returns:

Pointer to the compiled model