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StringConcat

Description

StringConcat concatenates string tensors elementwise (with NumPy-style broadcasting support).

 

Input parameters

 

specified_outputs_name : array, this parameter lets you manually assign custom names to the output tensors of a node.

 Graphs in : cluster, ONNX model architecture.

A (heterogeneous) – T : object, tensor to prepend in concatenation.
B (heterogeneous) – T : object, tensor to append in concatenation.

 Parameters : cluster,

 training? : boolean, whether B should be transposed on the last two dimensions before doing multiplication.
Default value “True”.
 lda coeff : float, defines the coefficient by which the loss derivative will be multiplied before being sent to the previous layer (since during the backward run we go backwards).
Default value “1”.

 name (optional) : string, name of the node.

Output parameters

 

Z (heterogeneous) – T : object, concatenated string tensor.

Type Constraints

T in (tensor(string)) : Inputs and outputs must be UTF-8 strings.

Example

All these exemples are snippets PNG, you can drop these Snippet onto the block diagram and get the depicted code added to your VI (Do not forget to install Deep Learning library to run it).
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