CNTK: The new clone do not match the cloned inputs of the clonee Block Function
This line

cloneModel.parameters[0] = cloneModel.parameters[0]*4

tries to replace the first parameter with an expression (a CNTK graph) that multiplies the parameter by 4. I don't think that's the intent here. Rather, you want to do the above on the .value attribute of the parameter. Try this instead:

cloneModel.parameters[0].value = cloneModel.parameters[0].value*4
I have trained a model in CNTK. Then I clone it and change some parameters; when I try to test the quantized model, I get

RuntimeError: Block Function 'softplus:  -> Unknown': Inputs
'Constant('Constant70738', [], []), Constant('Constant70739', [], []),
Parameter('alpha', [], []), Constant('Constant70740', [], [])' of the
new clone do not match the cloned inputs 'Constant('Constant70738',
[], []), Constant('Constant70739', [], []), Constant('Constant70740',
[], []), Parameter('alpha', [], [])' of the clonee Block Function.

I have no idea what this error means or how to fix it. Do you have any ideas?
P.S. I clone and edit the model by doing

clonedModel = model.clone(cntk.ops.CloneMethod.clone)
cloneModel.parameters[0].value = cloneModel.parameters[0].value*4

then when I try to use cloneModel I get that error above.