[MLIR][Linalg] Remove elemwise_unary and elemwise_binary (#147082)

RFC:
https://discourse.llvm.org/t/rfc-deprecate-linalg-elemwise-unary-and-elemwise-binary/87144

Remove the two operations and fix the tests by:
* Cleaning simple operation tests of the old ops
* Changing `linalg.elemwise_{u|bi}nary` with `linalg.{exp|add}` on
transform tests
* Changing some of the tests with `linalg.elementwise` instead, to
broaden test coverage
* Surgically removing the `elemwise_*` part in the Python tests
* Update MLIR transform examples (text and tests) with
`linalg.elementwise` instead

Nothing else changed.

Author: rengolin

mlir/python/mlir/dialects/linalg/opdsl/ops/core_named_ops.py

@@ -21,21 +21,6 @@ def copy(
     O[None] = cast(U, I[None])
 
 
-@linalg_structured_op
-def elemwise_unary(
-    I=TensorDef(T1),
-    O=TensorDef(U, output=True),
-    fun=UnaryFnAttrDef(default=UnaryFn.exp),
-    cast=TypeFnAttrDef(default=TypeFn.cast_signed),
-):
-    """Applies the unary function fun elementwise.
-
-    Numeric casting is performed on the input operand, promoting it to the same
-    data type as the accumulator/output.
-    """
-    O[None] = fun(cast(U, I[None]))
-
-
 @linalg_structured_op
 def exp(
     I=TensorDef(T1),
@@ -192,22 +177,6 @@ def erf(
     O[None] = UnaryFn.erf(I[None])
 
 
-@linalg_structured_op
-def elemwise_binary(
-    lhs=TensorDef(T1),
-    rhs=TensorDef(T2),
-    O=TensorDef(U, output=True),
-    fun=BinaryFnAttrDef(default=BinaryFn.add),
-    cast=TypeFnAttrDef(default=TypeFn.cast_signed),
-):
-    """Applies the binary function fun elementwise.
-
-    Numeric casting is performed on the input operand, promoting it to the same
-    data type as the accumulator/output.
-    """
-    O[None] = fun(cast(U, lhs[None]), cast(U, rhs[None]))
-
-
 @linalg_structured_op
 def add(
     lhs=TensorDef(T1),