If the code generator cannot determine or compute the upper bound, you must specify an upper bound. See Specifying Upper Bounds for Variable-Size Data and Diagnosing and Fixing Errors in Detecting Upper Bounds
When using static allocation on the stack during code generation, the code generator must be able to determine upper bounds for variable-size data. Specify the upper bounds explicitly for variable-size data from external sources, such as inputs and outputs.
When using static allocation, MATLAB® uses a sophisticated analysis to calculate the upper bounds of local data at compile time. However, when the analysis fails to detect an upper bound or calculates an upper bound that is not precise enough for your application, you need to specify upper bounds explicitly for local variables.
Constraining the Value of a Variable That Specifies Dimensions
of Variable-Size Data. Use the assert
function with relational
operators to constrain the value of variables that specify the dimensions
of variable-size data. For example:
function y = dim_need_bound(n) %#codegen assert (n <= 5); L= ones(n,n); M = zeros(n,n); M = [L; M]; y = M;
This assert
statement constrains input n
to
a maximum size of 5, defining L
and M
as
variable-sized matrices with upper bounds of 5 for each dimension.
Specifying the Upper Bounds for All
Instances of a Local Variable. Use the coder.varsize
function to specify
the upper bounds for all instances
of a local variable in a function. For example:
function Y = example_bounds1(u) %#codegen Y = [1 2 3 4 5]; coder.varsize('Y',[1 10]); if (u > 0) Y = [Y Y+u]; else Y = [Y Y*u]; end
The second argument of coder.varsize
specifies
the upper bound for each instance of the variable specified in the
first argument. In this example, the argument [1 10]
indicates
that for every instance of Y
:
First dimension is fixed at size 1
Second dimension can grow to an upper bound of 10
By default, coder.varsize
assumes
dimensions of 1 are fixed size. For more information, see the coder.varsize
reference
page.
You can define a variable-size matrix
by using a constructor with nonconstant dimensions. For code in a MATLAB
Function block, you must also add an assert
statement
to provide upper bounds for the dimensions. For example:
function y = var_by_assign(u) %#codegen assert (u < 20); if (u > 0) y = ones(3,u); else y = zeros(3,1); end