Remove old element_wise operations

Author: rengolin

mlir/include/mlir/Dialect/Linalg/IR/LinalgNamedStructuredOps.yaml

@@ -44,56 +44,6 @@ structured_op: !LinalgStructuredOpConfig
         - !ScalarExpression
           scalar_arg: I
 --- !LinalgOpConfig
-metadata: !LinalgOpMetadata
-  name: elemwise_unary
-  cpp_class_name: ElemwiseUnaryOp
-  doc: |-
-    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.
-structured_op: !LinalgStructuredOpConfig
-  args:
-  - !LinalgOperandDefConfig
-    name: I
-    kind: input_tensor
-    type_var: T1
-    shape_map: affine_map<() -> ()>
-  - !LinalgOperandDefConfig
-    name: O
-    kind: output_tensor
-    type_var: U
-    shape_map: affine_map<() -> ()>
-  - !LinalgOperandDefConfig
-    name: fun
-    kind: unary_fn_attr
-    default_fn: exp
-  - !LinalgOperandDefConfig
-    name: cast
-    kind: type_fn_attr
-    default_fn: cast_signed
-  indexing_maps: !LinalgIndexingMapsConfig
-    static_indexing_maps:
-    - affine_map<() -> ()>
-    - affine_map<() -> ()>
-  iterator_types: []
-  assignments:
-  - !ScalarAssign
-    arg: O
-    value: !ScalarExpression
-      scalar_fn:
-        kind: unary
-        attr_name: fun
-        operands:
-        - !ScalarExpression
-          scalar_fn:
-            kind: type
-            attr_name: cast
-            type_var: U
-            operands:
-            - !ScalarExpression
-              scalar_arg: I
---- !LinalgOpConfig
 metadata: !LinalgOpMetadata
   name: exp
   cpp_class_name: ExpOp
@@ -549,70 +499,6 @@ structured_op: !LinalgStructuredOpConfig
         - !ScalarExpression
           scalar_arg: I
 --- !LinalgOpConfig
-metadata: !LinalgOpMetadata
-  name: elemwise_binary
-  cpp_class_name: ElemwiseBinaryOp
-  doc: |-
-    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.
-structured_op: !LinalgStructuredOpConfig
-  args:
-  - !LinalgOperandDefConfig
-    name: lhs
-    kind: input_tensor
-    type_var: T1
-    shape_map: affine_map<() -> ()>
-  - !LinalgOperandDefConfig
-    name: rhs
-    kind: input_tensor
-    type_var: T2
-    shape_map: affine_map<() -> ()>
-  - !LinalgOperandDefConfig
-    name: O
-    kind: output_tensor
-    type_var: U
-    shape_map: affine_map<() -> ()>
-  - !LinalgOperandDefConfig
-    name: fun
-    kind: binary_fn_attr
-    default_fn: add
-  - !LinalgOperandDefConfig
-    name: cast
-    kind: type_fn_attr
-    default_fn: cast_signed
-  indexing_maps: !LinalgIndexingMapsConfig
-    static_indexing_maps:
-    - affine_map<() -> ()>
-    - affine_map<() -> ()>
-    - affine_map<() -> ()>
-  iterator_types: []
-  assignments:
-  - !ScalarAssign
-    arg: O
-    value: !ScalarExpression
-      scalar_fn:
-        kind: binary
-        attr_name: fun
-        operands:
-        - !ScalarExpression
-          scalar_fn:
-            kind: type
-            attr_name: cast
-            type_var: U
-            operands:
-            - !ScalarExpression
-              scalar_arg: lhs
-        - !ScalarExpression
-          scalar_fn:
-            kind: type
-            attr_name: cast
-            type_var: U
-            operands:
-            - !ScalarExpression
-              scalar_arg: rhs
---- !LinalgOpConfig
 metadata: !LinalgOpMetadata
   name: add
   cpp_class_name: AddOp

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),