MATLAB: Dose matlab really support interoperability with the open source deep learning framework.

deep learningDeep Learning Toolboxonnxpytorch

i try import onnx model which is exported from pytorch as it is stated that in the link,

https://ww2.mathworks.cn/solutions/deep-learning.html?s_tid=hp_solutions_deep

however, error occurred,

the model is from the pytorch model zoo.

so Dose matlab really support interoperability with the open source deep learning framework?

Is there any demo or examples demonstrating importing the onnx model which is exported by other platforms?

Best Answer

Try

a = importONNXNetwork('resnet18.onnx', 'OutputLayerType', 'classification')

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MATLAB: Error management in OOP framework.

I am not sure if this code helps you or not but have you tried subclassing MException to add an object?

Things to look for in code:

Use of ThrowAsCaller to hide helper functions.
This code assumes object has name better to use evalc and disp of object in portable code.
Any number of types of exception are possible.
From the command line MException.last can be used to retrieve the exception object.

classdef ObjException < MException
    methods
        function obj=ObjException(src,varargin)
            obj=obj@MException(varargin{:});
            obj.sourceObj=src;
        end
        function rep=getReport(obj,varargin)
            rep=sprintf('Object Error on object %s\n%s', obj.sourceObj.name, getReport@MException(obj,varargin{:}));         
        end
    end
    properties
        sourceObj
    end
end
classdef testobj
    methods
        function meth(obj,arg)
            assert(obj,arg);
        end
        function assert(obj,cond,varargin)
            if ~cond 
                if nargin>2
                    ex=ObjException(obj,varargin{:});
                else
                    ex=ObjException(obj,'testobj:AssertFailed','assertion failed');
                end
                throwAsCaller(ex);                
            end
        end
        function error(obj,varargin)
            ex=ObjException(obj,varargin{:});
            throwAsCaller(ex);
        end
    end
    properties 
        name
    end
end
>>  to=testobj
>>  to.name='foo'
>>  to.meth(true)
>>  to.meth(false)
Object Error on object foo
Error using testobj/meth (line 4)
assertion failed

Best Answer

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