* Rewrites public function signatures to operate on tensors (vs ndarray).
* Most of our backends presume immutable tensors at public function boundaries.
* Adds an op interface for adding CPA constraints.
* Adds a type conversion hook for handling built-in types (that we can't have adopt our interface).
* Converts tensor<> to object(!Tensor, [e:<type>]) just like NdArray.
* Implement a few numpy ops far enough to do dtype inference for simple sequences.
* Gets us passed the upstream changes that enable type interfaces.
* Adds the ARM backend due to an implicit IREE dependency sneaking in for that (https://github.com/google/iree/issues/2401)
* Adds explicit TypeStorage to type base classes per upstream change.