spaceToBatchND_ has non-actionable error message

I am trying my first model with dilated convolutions. tfjs-converter worked without complaints, but when trying to run the model I get:

Error: input spatial dimensions must be divisible by blockShapes

looking at the code around it is unclear what action should be taken to fix the problem.

It would be useful to have the error message report the actual values in place, e.g:

Error: input spatial dimensions ${dimensions} must be divisible by blockShapes ${blockShapes}

and suggest what should be changed to have it fixed.

[dikatok]

@stefano-1981 yup

I changed the error messages to be more elaborate and included the paddings in the assertion

[stefano-1981]

Can it be that the failing line return a && (b % blockShape[i - 1] === 0); should also account for the paddings as mentioned in the comments of the function?