In several cases, operation result types can be unambiguously inferred from operands and attributes at operation construction time. Stop requiring the user to provide these types as arguments in the ODS-generated constructors in Python bindings. In particular, handle the SameOperandAndResultTypes and FirstAttrDerivedResultType traits as well as InferTypeOpInterface using the recently added interface support. This is a significant usability improvement for IR construction, similar to what C++ ODS provides. Depends On D111656 Reviewed By: gysit Differential Revision: https://reviews.llvm.org/D111811
210 lines
5.3 KiB
Python
210 lines
5.3 KiB
Python
# RUN: %PYTHON %s | FileCheck %s
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from mlir.ir import *
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import mlir.dialects.python_test as test
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def run(f):
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print("\nTEST:", f.__name__)
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f()
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return f
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# CHECK-LABEL: TEST: testAttributes
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@run
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def testAttributes():
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with Context() as ctx, Location.unknown():
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ctx.allow_unregistered_dialects = True
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#
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# Check op construction with attributes.
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#
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i32 = IntegerType.get_signless(32)
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one = IntegerAttr.get(i32, 1)
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two = IntegerAttr.get(i32, 2)
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unit = UnitAttr.get()
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# CHECK: "python_test.attributed_op"() {
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# CHECK-DAG: mandatory_i32 = 1 : i32
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# CHECK-DAG: optional_i32 = 2 : i32
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# CHECK-DAG: unit
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# CHECK: }
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op = test.AttributedOp(one, two, unit)
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print(f"{op}")
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# CHECK: "python_test.attributed_op"() {
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# CHECK: mandatory_i32 = 2 : i32
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# CHECK: }
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op2 = test.AttributedOp(two, None, None)
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print(f"{op2}")
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#
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# Check generic "attributes" access and mutation.
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#
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assert "additional" not in op.attributes
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# CHECK: "python_test.attributed_op"() {
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# CHECK-DAG: additional = 1 : i32
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# CHECK-DAG: mandatory_i32 = 2 : i32
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# CHECK: }
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op2.attributes["additional"] = one
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print(f"{op2}")
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# CHECK: "python_test.attributed_op"() {
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# CHECK-DAG: additional = 2 : i32
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# CHECK-DAG: mandatory_i32 = 2 : i32
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# CHECK: }
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op2.attributes["additional"] = two
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print(f"{op2}")
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# CHECK: "python_test.attributed_op"() {
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# CHECK-NOT: additional = 2 : i32
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# CHECK: mandatory_i32 = 2 : i32
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# CHECK: }
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del op2.attributes["additional"]
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print(f"{op2}")
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try:
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print(op.attributes["additional"])
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except KeyError:
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pass
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else:
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assert False, "expected KeyError on unknown attribute key"
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#
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# Check accessors to defined attributes.
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#
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# CHECK: Mandatory: 1
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# CHECK: Optional: 2
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# CHECK: Unit: True
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print(f"Mandatory: {op.mandatory_i32.value}")
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print(f"Optional: {op.optional_i32.value}")
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print(f"Unit: {op.unit}")
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# CHECK: Mandatory: 2
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# CHECK: Optional: None
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# CHECK: Unit: False
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print(f"Mandatory: {op2.mandatory_i32.value}")
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print(f"Optional: {op2.optional_i32}")
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print(f"Unit: {op2.unit}")
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# CHECK: Mandatory: 2
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# CHECK: Optional: None
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# CHECK: Unit: False
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op.mandatory_i32 = two
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op.optional_i32 = None
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op.unit = False
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print(f"Mandatory: {op.mandatory_i32.value}")
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print(f"Optional: {op.optional_i32}")
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print(f"Unit: {op.unit}")
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assert "optional_i32" not in op.attributes
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assert "unit" not in op.attributes
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try:
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op.mandatory_i32 = None
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except ValueError:
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pass
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else:
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assert False, "expected ValueError on setting a mandatory attribute to None"
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# CHECK: Optional: 2
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op.optional_i32 = two
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print(f"Optional: {op.optional_i32.value}")
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# CHECK: Optional: None
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del op.optional_i32
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print(f"Optional: {op.optional_i32}")
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# CHECK: Unit: False
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op.unit = None
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print(f"Unit: {op.unit}")
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assert "unit" not in op.attributes
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# CHECK: Unit: True
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op.unit = True
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print(f"Unit: {op.unit}")
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# CHECK: Unit: False
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del op.unit
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print(f"Unit: {op.unit}")
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# CHECK-LABEL: TEST: inferReturnTypes
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@run
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def inferReturnTypes():
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with Context() as ctx, Location.unknown(ctx):
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test.register_python_test_dialect(ctx)
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module = Module.create()
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with InsertionPoint(module.body):
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op = test.InferResultsOp()
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dummy = test.DummyOp()
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# CHECK: [Type(i32), Type(i64)]
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iface = InferTypeOpInterface(op)
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print(iface.inferReturnTypes())
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# CHECK: [Type(i32), Type(i64)]
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iface_static = InferTypeOpInterface(test.InferResultsOp)
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print(iface.inferReturnTypes())
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assert isinstance(iface.opview, test.InferResultsOp)
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assert iface.opview == iface.operation.opview
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try:
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iface_static.opview
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except TypeError:
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pass
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else:
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assert False, ("not expected to be able to obtain an opview from a static"
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" interface")
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try:
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InferTypeOpInterface(dummy)
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except ValueError:
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pass
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else:
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assert False, "not expected dummy op to implement the interface"
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try:
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InferTypeOpInterface(test.DummyOp)
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except ValueError:
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pass
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else:
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assert False, "not expected dummy op class to implement the interface"
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# CHECK-LABEL: TEST: resultTypesDefinedByTraits
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@run
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def resultTypesDefinedByTraits():
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with Context() as ctx, Location.unknown(ctx):
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test.register_python_test_dialect(ctx)
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module = Module.create()
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with InsertionPoint(module.body):
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inferred = test.InferResultsOp()
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same = test.SameOperandAndResultTypeOp([inferred.results[0]])
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# CHECK-COUNT-2: i32
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print(same.one.type)
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print(same.two.type)
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first_type_attr = test.FirstAttrDeriveTypeAttrOp(
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inferred.results[1], TypeAttr.get(IndexType.get()))
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# CHECK-COUNT-2: index
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print(first_type_attr.one.type)
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print(first_type_attr.two.type)
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first_attr = test.FirstAttrDeriveAttrOp(
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FloatAttr.get(F32Type.get(), 3.14))
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# CHECK-COUNT-3: f32
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print(first_attr.one.type)
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print(first_attr.two.type)
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print(first_attr.three.type)
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implied = test.InferResultsImpliedOp()
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# CHECK: i32
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print(implied.integer.type)
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# CHECK: f64
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print(implied.flt.type)
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# CHECK: index
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print(implied.index.type)
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