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This will allow full broadcasting support for float32 tensor division. I ran into issues when doing basic training using the Layers API with WASM due to the lack of broadcasting support for div, so switching to xnnpack will at least allow it for floats.
Broadcasting for binary ops don't work with non-float tensors, so added a check for the float data type in registerBinaryKernel kernelFunc (so that trying to broadcast int32 tensors with something like mul or sub doesn't produce erroneous results like it does now).
This change is