# ngraph.opset4.tensor_iterator¶

ngraph.opset4.tensor_iterator(inputs: List[_pyngraph.Node], graph_body: ngraph.utils.tensor_iterator_types.GraphBody, slice_input_desc: , merged_input_desc: , invariant_input_desc: , body_output_desc: , concat_output_desc: , name: Optional[str] = None)_pyngraph.Node

Perform recurrent execution of the network described in the body, iterating through the data.

Parameters
• inputs – The provided to TensorIterator operator.

• graph_body – The graph representing the body we execute.

• slice_input_desc – The descriptors describing sliced inputs, that is nodes representing tensors we iterate through, processing single data slice in one iteration.

• merged_input_desc – The descriptors describing merged inputs, that is nodes representing variables with initial value at first iteration, which may be changing through iterations.

• invariant_input_desc – The descriptors describing invariant inputs, that is nodes representing variable with persistent value through all iterations.

• body_output_desc – The descriptors describing body outputs from specified iteration.

• concat_output_desc – The descriptors describing specified output values through all the iterations concatenated into one node.

• name – The optional name for output node.

Returns

Node representing TensorIterator operation.