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Generate Code for arguments Block That Validates Input and Output Arguments

You can generate code for arguments blocks that perform input and output argument validation in your MATLAB® function. Using argument validation, you can constrain the class, size, and other aspects of function input and output values without writing code in the body of the function to perform these tests. See Function Argument Validation.

Supported Features

Code generation supports most features of arguments blocks, including size and class validation, validation functions, and default values. Code generation also supports the namedargs2cell function.

Code generation does not support these features of arguments blocks:

  • Size validation, class validation, and validation functions for repeating arguments

  • Multiple repeating input arguments

  • Name-value input arguments at entry-point functions

  • Name-value input arguments from class properties using the structName.?ClassName syntax

  • Size validation for table, timetable, or dlarray (Deep Learning Toolbox) objects.

Names Must Be Compile-Time Constants

Suppose that foo is a function that uses name-value argument validation. When you call foo from another function bar, the code generator must be able to determine the names that you provide to foo at compile time.

For example, code generation succeeds for the entry-point function myNamedArg_valid. This function contains two calls to the function local. For both these calls, the argument name 'x' is known during code generation.

function [out1,out2] = myNamedArg_valid(in1,in2)
out1 = local(x=in1);
out2 = local('x',in2);

function out = local(args)

out = args.x;
codegen myNamedArg_valid -args {0,0}
Code generation successful.

By contrast, code generation fails for the entry-point function myNamedArg_invalid because the argument name for the function local is supplied at run time.

function out = myNamedArg_invalid(value, inputName)
out = local(inputName, value);

function out = local(args)

out = args.x;
codegen myNamedArg_invalid -args {0,coder.typeof('a')}
Error calling 'myNamedArg_invalid/local'. This call-site passes more inputs to this function than it can accept. This is likely
caused by: This argument is not constant, and therefore does not match against a name-value argument inside
'myNamedArg_invalid/local' during code generation. Code generation might fail or produce results that do not agree with MATLAB 
if a name passed at a call site is not known during code generation.

Error in ==> myNamedArg_invalid Line: 2 Column: 17
Code generation failed: View Error Report

In certain situations, the code generator assigns the name that you passed to an optional positional or repeating input argument. In such situations, code generation succeeds with a warning and the generated code might produce results that are different from MATLAB execution. See Passing Input Argument Name at Run Time (MATLAB Coder).

Using the Structure That Holds Name-Value Arguments

Suppose that your MATLAB function for which you intend to generate code uses a structure named NameValueArgs to define two name-value arguments, Name1 and Name2:

function result = myFunction(NameValueArgs)

In the body of your function, directly use the structure fields NameValueArgs.Name1 and NameValueArgs.Name2 to read or write data.

Do not use the whole structure variable NameValueArgs itself (without the dot syntax), except in these situations:

  • Use the isfield function to check if the caller has supplied a value for a certain name-value argument. For example, to provide a default value for NameValueArgs.Name2 outside of the arguments block, you can use this code snippet:

    if ~isfield(NameValueArgs,'Name2')
        NameValueArgs.Name2 = defaultValue;
  • Use the namedargs2cell function to forward the name-value arguments to another function. For example:

    argsCell = namedargs2cell(NameValueArgs);

Any use of the whole structure variable NameValueArgs (including the above two special cases) is not supported inside loops, anonymous functions, or nested functions.

Differences Between Generated Code and MATLAB Code

Certain unusual code patterns might cause the code generated for argument validation to behave differently from MATLAB. To learn about some of these differences, see these links:

See Also

Related Topics