C# CNTK Transfer Learning input reshape #3850

Dear Sirs,

I build program to apply Transfer Learning in C#. Problem I face is to reshape input layer for Resnet CNNs.
Default input is [224x224x3] whereas I want to apply [32x32x3] input, but it could be any size.

I wonder how I can reshape input layer dimension?

Also I wonder if there is different way later to replace that input?
I do it now like:
Function clonedModel = baseModel.Clone(ParameterCloningMethod.Freeze,
new Dictionary<Variable, Variable>() { { oldFeatureNode, normalizedNewNode }
});

Regards,
Chris