core: make TypedAttribute not generic

pyproject.toml

@@ -24,7 +24,7 @@ dev = [
     "nbval<0.12",
     "filecheck==1.0.1",
     "lit<19.0.0",
-    "marimo==0.9.20",
+    "marimo==0.9.21",
     "pre-commit==4.0.1",
     "ruff==0.7.4",
     "asv<0.7",
@@ -109,17 +109,19 @@ ignore = [
 max-line-length = 300
 
 [tool.ruff.lint.flake8-tidy-imports.banned-api]
-"xdsl.parser.core".msg = "Use xdsl.parser instead."
-"xdsl.parser.attribute_parser".msg = "Use xdsl.parser instead."
-"xdsl.parser.affine_parser".msg = "Use xdsl.parser instead."
+"xdsl.dialects.utils.fast_math".msg = "Use xdsl.dialects.utils instead"
+"xdsl.dialects.utils.format".msg = "Use xdsl.dialects.utils instead"
+"xdsl.ir.affine.affine_expr".msg = "Use xdsl.ir.affine instead"
+"xdsl.ir.affine.affine_map".msg = "Use xdsl.ir.affine instead"
+"xdsl.ir.affine.affine_set".msg = "Use xdsl.ir.affine instead"
 "xdsl.ir.core".msg = "Use xdsl.ir instead."
+"xdsl.irdl.attributes".msg = "Use xdsl.irdl instead"
 "xdsl.irdl.common".msg = "Use xdsl.irdl instead"
 "xdsl.irdl.constraints".msg = "Use xdsl.irdl instead"
-"xdsl.irdl.attributes".msg = "Use xdsl.irdl instead"
 "xdsl.irdl.operations".msg = "Use xdsl.irdl instead"
-"xdsl.ir.affine.affine_expr".msg = "Use xdsl.ir.affine instead"
-"xdsl.ir.affine.affine_map".msg = "Use xdsl.ir.affine instead"
-"xdsl.ir.affine.affine_set".msg = "Use xdsl.ir.affine instead"
+"xdsl.parser.affine_parser".msg = "Use xdsl.parser instead."
+"xdsl.parser.attribute_parser".msg = "Use xdsl.parser instead."
+"xdsl.parser.core".msg = "Use xdsl.parser instead."
 
 
 [tool.ruff.lint.per-file-ignores]

tests/dialects/test_bufferization.py

@@ -23,6 +23,7 @@
 from xdsl.ir import Attribute
 from xdsl.irdl import (
     EqAttrConstraint,
+    InferenceContext,
     IRDLOperation,
     VarConstraint,
     irdl_op_definition,
@@ -39,13 +40,13 @@ def test_tensor_from_memref_inference():
         EqAttrConstraint(MemRefType(f64, [10, 20, 30]))
     )
     assert constr2.can_infer(set())
-    assert constr2.infer({}) == TensorType(f64, [10, 20, 30])
+    assert constr2.infer(InferenceContext()) == TensorType(f64, [10, 20, 30])
 
     constr3 = TensorFromMemrefConstraint(
         EqAttrConstraint(UnrankedMemrefType.from_type(f64))
     )
     assert constr3.can_infer(set())
-    assert constr3.infer({}) == UnrankedTensorType(f64)
+    assert constr3.infer(InferenceContext()) == UnrankedTensorType(f64)
 
 
 @irdl_op_definition

tests/filecheck/mlir-conversion/with-mlir/dialects/linalg/ops.mlir

@@ -59,6 +59,9 @@ linalg.fill ins(%4 : f32) outs(%1 : memref<1x256xf32>)
 %18, %19 = "test.op"() : () -> (memref<64x9216xf32>, memref<9216x4096xf32>)
 %20 = "test.op"() : () -> (memref<64x4096xf32>)
 
+%zero = arith.constant 0: f32
+linalg.fill {id} ins(%zero : f32) outs(%20 : memref<64x4096xf32>)
+
 linalg.matmul {id} ins(%18, %19 : memref<64x9216xf32>, memref<9216x4096xf32>) outs(%20 : memref<64x4096xf32>)
 
 
@@ -99,17 +102,19 @@ linalg.matmul {id} ins(%18, %19 : memref<64x9216xf32>, memref<9216x4096xf32>) ou
 // CHECK-NEXT:    %13:2 = "test.op"() : () -> (tensor<16xf32>, tensor<16x64xf32>)
 // CHECK-NEXT:    %broadcasted  = linalg.broadcast ins(%13#0 : tensor<16xf32>) outs(%13#1 : tensor<16x64xf32>) dimensions = [1]
 // CHECK-NEXT:    %{{.*}} = linalg.generic {indexing_maps = [#map1, #map1, #map1], iterator_types = ["parallel", "parallel"]} ins(%1#0, %1#0 : tensor<2x3xf32>, tensor<2x3xf32>) outs(%1#0 : tensor<2x3xf32>) {
-// CHECK-NEXT:    ^bb0(%in: f32, %in_1: f32, %out: f32):
-// CHECK-NEXT:      %{{.*}} = arith.addf %in, %in_1 : f32
+// CHECK-NEXT:    ^bb0(%in: f32, %in_2: f32, %out: f32):
+// CHECK-NEXT:      %{{.*}} = arith.addf %in, %in_2 : f32
 // CHECK-NEXT:      linalg.yield %{{.*}} : f32
 // CHECK-NEXT:    } -> tensor<2x3xf32>
 // CHECK-NEXT:    %{{.*}} = linalg.sub ins(%{{.*}}, %{{.*}} : tensor<2x3xf32>, tensor<2x3xf32>) outs(%{{.*}} : tensor<2x3xf32>) -> tensor<2x3xf32>
 // CHECK-NEXT:    %16:2 = "test.op"() : () -> (memref<64x9216xf32>, memref<9216x4096xf32>)
 // CHECK-NEXT:    %17 = "test.op"() : () -> memref<64x4096xf32>
+// CHECK-NEXT:    %cst_0 = arith.constant 0.000000e+00 : f32
+// CHECK-NEXT:    linalg.fill {id} ins(%cst_0 : f32) outs(%17 : memref<64x4096xf32>)
 // CHECK-NEXT:    linalg.matmul {id} ins(%16#0, %16#1 : memref<64x9216xf32>, memref<9216x4096xf32>) outs(%17 : memref<64x4096xf32>)
 // CHECK-NEXT:    %18:2 = "test.op"() : () -> (tensor<64x9216xi8>, tensor<9216x4096xi8>)
 // CHECK-NEXT:    %c0_i32 = arith.constant 0 : i32
-// CHECK-NEXT:    %c0_i32_0 = arith.constant 0 : i32
+// CHECK-NEXT:    %c0_i32_1 = arith.constant 0 : i32
 // CHECK-NEXT:    %19 = "test.op"() : () -> tensor<64x4096xi32>
-// CHECK-NEXT:    %20 = linalg.quantized_matmul ins(%18#0, %18#1, %c0_i32, %c0_i32_0 : tensor<64x9216xi8>, tensor<9216x4096xi8>, i32, i32) outs(%19 : tensor<64x4096xi32>) -> tensor<64x4096xi32>
+// CHECK-NEXT:    %20 = linalg.quantized_matmul ins(%18#0, %18#1, %c0_i32, %c0_i32_1 : tensor<64x9216xi8>, tensor<9216x4096xi8>, i32, i32) outs(%19 : tensor<64x4096xi32>) -> tensor<64x4096xi32>
 // CHECK-NEXT:  }

tests/filecheck/transforms/apply-pdl/apply_pdl_build_type.mlir

@@ -0,0 +1,27 @@
+// RUN: xdsl-opt %s -p apply-pdl | filecheck %s
+
+%x = "test.op"() : () -> (i32) 
+
+pdl.pattern : benefit(1) {
+    %in_type = pdl.type: i32
+    %root = pdl.operation "test.op" -> (%in_type: !pdl.type)
+    pdl.rewrite %root {
+      %out_type = pdl.type: i64
+      %new_op = pdl.operation "test.op" -> (%out_type: !pdl.type)
+      pdl.replace %root with %new_op
+    }
+}
+
+// CHECK:       builtin.module {
+// CHECK-NEXT:    %x = "test.op"() : () -> i64
+// CHECK-NEXT:    pdl.pattern : benefit(1) {
+// CHECK-NEXT:      %in_type = pdl.type : i32
+// CHECK-NEXT:      %root = pdl.operation "test.op" -> (%in_type : !pdl.type)
+// CHECK-NEXT:      pdl.rewrite %root {
+// CHECK-NEXT:        %out_type = pdl.type : i64
+// CHECK-NEXT:        %new_op = pdl.operation "test.op" -> (%out_type : !pdl.type)
+// CHECK-NEXT:        pdl.replace %root with %new_op
+// CHECK-NEXT:      }
+// CHECK-NEXT:    }
+// CHECK-NEXT:  }
+// CHECK-NEXT:  

tests/irdl/test_attr_constraint.py

@@ -10,6 +10,7 @@
     AttrConstraint,
     BaseAttr,
     EqAttrConstraint,
+    InferenceContext,
     ParamAttrConstraint,
     ParameterDef,
     VarConstraint,
@@ -77,7 +78,7 @@ class WrapAttr(BaseWrapAttr): ...
     )
 
     assert constr.can_infer(set())
-    assert constr.infer({}) == WrapAttr((StringAttr("Hello"),))
+    assert constr.infer(InferenceContext()) == WrapAttr((StringAttr("Hello"),))
 
     var_constr = ParamAttrConstraint(
         WrapAttr,
@@ -92,7 +93,7 @@ class WrapAttr(BaseWrapAttr): ...
     )
 
     assert var_constr.can_infer({"T"})
-    assert var_constr.infer({"T": StringAttr("Hello")}) == WrapAttr(
+    assert var_constr.infer(InferenceContext({"T": StringAttr("Hello")})) == WrapAttr(
         (StringAttr("Hello"),)
     )
 
@@ -127,7 +128,7 @@ class NoParamAttr(BaseNoParamAttr): ...
     constr = BaseAttr(NoParamAttr)
 
     assert constr.can_infer(set())
-    assert constr.infer({}) == NoParamAttr()
+    assert constr.infer(InferenceContext()) == NoParamAttr()
 
     base_constr = BaseAttr(BaseNoParamAttr)
     assert not base_constr.can_infer(set())

tests/irdl/test_attribute_definition.py

@@ -251,7 +251,7 @@ def test_typed_attribute():
 
         @irdl_attr_definition
         class TypedAttr(  # pyright: ignore[reportUnusedClass]
-            TypedAttribute[Attribute]
+            TypedAttribute
         ):
             name = "test.typed"
 

tests/irdl/test_declarative_assembly_format.py

@@ -3,7 +3,7 @@
 import textwrap
 from collections.abc import Callable
 from io import StringIO
-from typing import ClassVar, Generic, TypeVar
+from typing import Annotated, ClassVar, Generic, TypeVar
 
 import pytest
 
@@ -12,6 +12,8 @@
 from xdsl.dialects.builtin import (
     I32,
     BoolAttr,
+    Float64Type,
+    FloatAttr,
     IntegerAttr,
     MemRefType,
     ModuleOp,
@@ -603,20 +605,21 @@ class OptionalAttributeOp(IRDLOperation):
     "program, generic_program",
     [
         (
-            "test.typed_attr 3",
-            '"test.typed_attr"() {"attr" = 3 : i32} : () -> ()',
+            "test.typed_attr 3 3.000000e+00",
+            '"test.typed_attr"() {"attr" = 3 : i32, "float_attr" = 3.000000e+00 : f64} : () -> ()',
         ),
     ],
 )
 def test_typed_attribute_variable(program: str, generic_program: str):
-    """Test the parsing of optional operands"""
+    """Test the parsing of typed attributes"""
 
     @irdl_op_definition
     class TypedAttributeOp(IRDLOperation):
         name = "test.typed_attr"
         attr = attr_def(IntegerAttr[I32])
+        float_attr = attr_def(FloatAttr[Annotated[Float64Type, Float64Type()]])
 
-        assembly_format = "$attr attr-dict"
+        assembly_format = "$attr $float_attr attr-dict"
 
     ctx = MLContext()
     ctx.load_op(TypedAttributeOp)
@@ -693,7 +696,7 @@ def test_unknown_variable():
     """Test that variables should refer to an element in the operation."""
     with pytest.raises(
         PyRDLOpDefinitionError,
-        match="expected variable to refer to an operand, attribute, region, result, or successor",
+        match="expected variable to refer to an operand, attribute, region, or successor",
     ):
 
         @irdl_op_definition

tests/utils/test_scoped_dict.py

@@ -32,3 +32,16 @@ def test_simple():
     assert 3 not in table
     assert 3 in inner
     assert 4 not in inner
+
+
+def test_get():
+    parent = ScopedDict(local_scope={"a": 1, "b": 2})
+    child = ScopedDict(parent, local_scope={"a": 3, "c": 4})
+
+    assert child.get("a") == 3
+    assert child.get("b") == 2
+    assert child.get("c") == 4
+    assert child.get("d") is None
+
+    assert child.get("a", 5) == 3
+    assert child.get("d", 5) == 5

xdsl/dialects/bufferization.py

@@ -20,8 +20,8 @@
 from xdsl.irdl import (
     AttrSizedOperandSegments,
     ConstraintContext,
-    ConstraintVariableType,
     GenericAttrConstraint,
+    InferenceContext,
     IRDLOperation,
     VarConstraint,
     irdl_op_definition,
@@ -53,9 +53,9 @@ def can_infer(self, var_constraint_names: Set[str]) -> bool:
         return self.memref_constraint.can_infer(var_constraint_names)
 
     def infer(
-        self, variables: dict[str, ConstraintVariableType]
+        self, context: InferenceContext
     ) -> TensorType[Attribute] | UnrankedTensorType[Attribute]:
-        memref_type = self.memref_constraint.infer(variables)
+        memref_type = self.memref_constraint.infer(context)
         if isinstance(memref_type, MemRefType):
             return TensorType(memref_type.element_type, memref_type.shape)
         return UnrankedTensorType(memref_type.element_type)

xdsl/dialects/builtin.py

@@ -449,7 +449,7 @@ class IndexType(ParametrizedAttribute):
 @irdl_attr_definition
 class IntegerAttr(
     Generic[_IntegerAttrType],
-    TypedAttribute[_IntegerAttrType],
+    TypedAttribute,
 ):
     name = "integer"
     value: ParameterDef[IntAttr]
@@ -504,8 +504,8 @@ def verify(self) -> None:
     @staticmethod
     def parse_with_type(
         parser: AttrParser,
-        type: AttributeInvT,
-    ) -> TypedAttribute[AttributeInvT]:
+        type: Attribute,
+    ) -> TypedAttribute:
         assert isinstance(type, IntegerType | IndexType)
         return IntegerAttr(parser.parse_integer(allow_boolean=(type == i1)), type)
 
@@ -634,7 +634,7 @@ def __hash__(self):
 
 
 @irdl_attr_definition
-class FloatAttr(Generic[_FloatAttrType], ParametrizedAttribute):
+class FloatAttr(Generic[_FloatAttrType], TypedAttribute):
     name = "float"
 
     value: ParameterDef[FloatData]
@@ -668,6 +668,17 @@ def __init__(
                 raise ValueError(f"Invalid bitwidth: {type}")
         super().__init__([data_attr, type])
 
+    @staticmethod
+    def parse_with_type(
+        parser: AttrParser,
+        type: Attribute,
+    ) -> TypedAttribute:
+        assert isinstance(type, AnyFloat)
+        return FloatAttr(parser.parse_float(), type)
+
+    def print_without_type(self, printer: Printer):
+        return printer.print_float(self)
+
 
 AnyFloatAttr: TypeAlias = FloatAttr[AnyFloat]
 AnyFloatAttrConstr: BaseAttr[AnyFloatAttr] = BaseAttr(FloatAttr)

xdsl/dialects/linalg.py

@@ -642,6 +642,8 @@ class FillOp(NamedOpBase):
 
     name = "linalg.fill"
 
+    PRINT_ATTRS_IN_FRONT: ClassVar[bool] = True
+
     def __init__(
         self,
         inputs: Sequence[SSAValue],

xdsl/dialects/memref_stream.py

@@ -46,6 +46,7 @@
     opt_prop_def,
     prop_def,
     region_def,
+    result_def,
     traits_def,
     var_operand_def,
 )
@@ -187,14 +188,44 @@ def offsets(self) -> tuple[tuple[int, ...], ...]:
 
 
 @irdl_op_definition
-class ReadOp(stream.ReadOperation):
+class ReadOp(IRDLOperation):
     name = "memref_stream.read"
 
+    T: ClassVar = VarConstraint("T", AnyAttr())
+
+    stream = operand_def(stream.ReadableStreamType.constr(T))
+    res = result_def(T)
+
+    assembly_format = "`from` $stream attr-dict `:` type($res)"
+
+    def __init__(self, stream_val: SSAValue, result_type: Attribute | None = None):
+        if result_type is None:
+            assert isinstance(stream_type := stream_val.type, stream.ReadableStreamType)
+            stream_type = cast(stream.ReadableStreamType[Attribute], stream_type)
+            result_type = stream_type.element_type
+        super().__init__(operands=[stream_val], result_types=[result_type])
+
+    def assembly_line(self) -> str | None:
+        return None
+
 
 @irdl_op_definition
-class WriteOp(stream.WriteOperation):
+class WriteOp(IRDLOperation):
     name = "memref_stream.write"
 
+    T: ClassVar = VarConstraint("T", AnyAttr())
+
+    value = operand_def(T)
+    stream = operand_def(stream.WritableStreamType.constr(T))
+
+    assembly_format = "$value `to` $stream attr-dict `:` type($value)"
+
+    def __init__(self, value: SSAValue, stream: SSAValue):
+        super().__init__(operands=[value, stream])
+
+    def assembly_line(self) -> str | None:
+        return None
+
 
 @irdl_op_definition
 class StreamingRegionOp(IRDLOperation):
@@ -370,7 +401,7 @@ class GenericOp(IRDLOperation):
     Pointers to memory buffers or streams to be operated on. The corresponding stride
     pattern defines the order in which the elements of the input buffers will be read.
     """
-    outputs = var_operand_def(AnyMemRefTypeConstr | stream.WritableStreamType.constr())
+    outputs = var_operand_def(AnyMemRefTypeConstr | stream.AnyWritableStreamTypeConstr)
     """
     Pointers to memory buffers or streams to be operated on. The corresponding stride
     pattern defines the order in which the elements of the input buffers will be written