-fold-float : Allow for potentially lossy computations using float type.

- add(cst, X) -> add(X, cst)
- add(X, 0) -> X
- and(cst, X) -> and(X, cst)
- and(X, 0) -> 0
- and(X, 1) -> X
- broadcast_in_dim(broadcast_in_dim(X, [dimsA...]), [dimsB...]) -> broadcast_in_dim(X, merge(dimsA, dimsB))
- broadcast_in_dim(X, [dims...]) -> transpose(X, [dims...]) [if same numel & rank]
- broadcast_in_dim(X, [iota...]) -> X
- broadcast_in_dim(X, [sorted...]) -> reshape(X, [sorted...]) [if same numel]
- compare(cst, X, comparator) -> compare(X, cst, inv(comparator))
- compare(X, X, [EQ,GE,LE]) -> true
- compare(X, X, [NE,GT,LT]) -> false
- complex(real(X), imag(X))) -> X
- concatenate(concatenate(X, Y), Z) -> concatenate(X, Y, Z)
- concatenate(X) -> X
- concatenate(X, Y, []) -> concatenate(X, Y)
- convert(X, [X.type]) -> X
- dynamic_broadcast_in_dim(dynamic_broadcast_in_dim(X, _, [dimsA...]), shape, [dimsB...]) -> dynamic_broadcast_in_dim(X, shape, merge(dimsA, dimsB))
- dynamic_broadcast_in_dim(dynamic_reshape(X, shape), shape) -> dynamic_reshape(X, shape)
- dynamic_broadcast_in_dim(X, _, _, [all_nonexpanding...]) -> convert(X)
- dynamic_broadcast_in_dim(X, shape_of(X)) -> X
- dynamic_gather(x, constant(slice_sizes)) -> gather(x, slice_sizes)
- dynamic_iota(shape, dim) ->
- dynamic_pad(X, low, high, interior) -> pad(X, low, high, interior)
- dynamic_reshape(dynamic_reshape(X, _), shape)) -> dynamic_reshape(X, shape)
- dynamic_reshape(op(dynamic_reshape(X, shape)), shape)
- dynamic_slice(X, begin, slice_sizes) -> slice(X, begin, slice_sizes)
- dynamic_update_slice(X, update, start_indices : zero)) -> update
- dynamic_update_slice(X, update : zero_extent)) -> X
- gather(X, cst_start_indices) -> slice(X, slice_start, slice_end)
- get_dimension_size(X, i) -> X.shape[i]
- get_tuple_element(tuple(X_0, X_1, ...), i) -> X_i
- imag(complex(R,I)) -> I
- iota(dim) : multi_rank
- iota(dim) : type -> constant(0) : type [if type[dim] == 1]
- max(cst, X) -> max(X, cst)
- minimum(cst, X) -> minimum(X, cst)
- multiply(cst, X) -> multiply(X, cst)
- multiply(X, 0i) -> 0i
- multiply(X, 1i) -> X
- op(X : zero_extent_tensor) -> constant([])
- or(cst, X) -> or(X, cst)
- or(X, 0) -> X
- or(X, 1) -> 1
- pad(empty_tensor, _) -> broadcast_in_dim(empty_tensor, _)
- real(complex(R,I)) -> X
- real_dynamic_slice(X, start, limit, strides)
- real_dynamic_slice(X, start, limit, strides)
- reduce[A](_, _, fn:return A) -> A...
- reduce(empty_0, empty_1, ...) -> [broadcast_in_dim(empty_i)...]
- reduce(in_1, in_2, _, _) -> reduce(in_1, _, _) [if unused(in_2)]
- reduce(X..., dims=[], add) -> X...
- reshape(reshape(X, _), [shape]) -> reshape(X, [shape])
- reshape(X, [X.shape]) -> X
- select(broadcast(not(p)), t, f) => select(broadcast(p), f, t)
- select(not(p), t, f) => select(p, f, t)
- shape_of(dynamic_reshape(X, shape)) -> shape
- slice(concat(X,Y,Z,...),...) -> concat(slice(X),slice(Y),slice(Z))
- slice(X, [A:A], [B:B], ...) -> X
- sort(X) -> sort(X, dim = N) [when dim can be inferred]
- sort(X,Y) -> sort(X) [if Y unused and unused in comparator]
- subtract(X, 0) -> X
- subtract(X, X) -> 0
- transpose(X, [iota...]) -> X
- transpose(X, [no_mem_layout_change...]) -> reshape(X)
- tuple(get_tuple_element(X, 0), get_tuple_element(X, 1), ...) -> X
- while -> while (loop invariants as implicit captures)
- xor(cst, X) -> xor(X, cst)
- (+more)