Files
clang-p2996/mlir/test/python/dialects/python_test.py
Alex Zinenko 2995d29bb4 [mlir][python] Infer result types in generated constructors whenever possible
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
2021-10-25 12:50:44 +02:00

210 lines
5.3 KiB
Python

# RUN: %PYTHON %s | FileCheck %s
from mlir.ir import *
import mlir.dialects.python_test as test
def run(f):
print("\nTEST:", f.__name__)
f()
return f
# CHECK-LABEL: TEST: testAttributes
@run
def testAttributes():
with Context() as ctx, Location.unknown():
ctx.allow_unregistered_dialects = True
#
# Check op construction with attributes.
#
i32 = IntegerType.get_signless(32)
one = IntegerAttr.get(i32, 1)
two = IntegerAttr.get(i32, 2)
unit = UnitAttr.get()
# CHECK: "python_test.attributed_op"() {
# CHECK-DAG: mandatory_i32 = 1 : i32
# CHECK-DAG: optional_i32 = 2 : i32
# CHECK-DAG: unit
# CHECK: }
op = test.AttributedOp(one, two, unit)
print(f"{op}")
# CHECK: "python_test.attributed_op"() {
# CHECK: mandatory_i32 = 2 : i32
# CHECK: }
op2 = test.AttributedOp(two, None, None)
print(f"{op2}")
#
# Check generic "attributes" access and mutation.
#
assert "additional" not in op.attributes
# CHECK: "python_test.attributed_op"() {
# CHECK-DAG: additional = 1 : i32
# CHECK-DAG: mandatory_i32 = 2 : i32
# CHECK: }
op2.attributes["additional"] = one
print(f"{op2}")
# CHECK: "python_test.attributed_op"() {
# CHECK-DAG: additional = 2 : i32
# CHECK-DAG: mandatory_i32 = 2 : i32
# CHECK: }
op2.attributes["additional"] = two
print(f"{op2}")
# CHECK: "python_test.attributed_op"() {
# CHECK-NOT: additional = 2 : i32
# CHECK: mandatory_i32 = 2 : i32
# CHECK: }
del op2.attributes["additional"]
print(f"{op2}")
try:
print(op.attributes["additional"])
except KeyError:
pass
else:
assert False, "expected KeyError on unknown attribute key"
#
# Check accessors to defined attributes.
#
# CHECK: Mandatory: 1
# CHECK: Optional: 2
# CHECK: Unit: True
print(f"Mandatory: {op.mandatory_i32.value}")
print(f"Optional: {op.optional_i32.value}")
print(f"Unit: {op.unit}")
# CHECK: Mandatory: 2
# CHECK: Optional: None
# CHECK: Unit: False
print(f"Mandatory: {op2.mandatory_i32.value}")
print(f"Optional: {op2.optional_i32}")
print(f"Unit: {op2.unit}")
# CHECK: Mandatory: 2
# CHECK: Optional: None
# CHECK: Unit: False
op.mandatory_i32 = two
op.optional_i32 = None
op.unit = False
print(f"Mandatory: {op.mandatory_i32.value}")
print(f"Optional: {op.optional_i32}")
print(f"Unit: {op.unit}")
assert "optional_i32" not in op.attributes
assert "unit" not in op.attributes
try:
op.mandatory_i32 = None
except ValueError:
pass
else:
assert False, "expected ValueError on setting a mandatory attribute to None"
# CHECK: Optional: 2
op.optional_i32 = two
print(f"Optional: {op.optional_i32.value}")
# CHECK: Optional: None
del op.optional_i32
print(f"Optional: {op.optional_i32}")
# CHECK: Unit: False
op.unit = None
print(f"Unit: {op.unit}")
assert "unit" not in op.attributes
# CHECK: Unit: True
op.unit = True
print(f"Unit: {op.unit}")
# CHECK: Unit: False
del op.unit
print(f"Unit: {op.unit}")
# CHECK-LABEL: TEST: inferReturnTypes
@run
def inferReturnTypes():
with Context() as ctx, Location.unknown(ctx):
test.register_python_test_dialect(ctx)
module = Module.create()
with InsertionPoint(module.body):
op = test.InferResultsOp()
dummy = test.DummyOp()
# CHECK: [Type(i32), Type(i64)]
iface = InferTypeOpInterface(op)
print(iface.inferReturnTypes())
# CHECK: [Type(i32), Type(i64)]
iface_static = InferTypeOpInterface(test.InferResultsOp)
print(iface.inferReturnTypes())
assert isinstance(iface.opview, test.InferResultsOp)
assert iface.opview == iface.operation.opview
try:
iface_static.opview
except TypeError:
pass
else:
assert False, ("not expected to be able to obtain an opview from a static"
" interface")
try:
InferTypeOpInterface(dummy)
except ValueError:
pass
else:
assert False, "not expected dummy op to implement the interface"
try:
InferTypeOpInterface(test.DummyOp)
except ValueError:
pass
else:
assert False, "not expected dummy op class to implement the interface"
# CHECK-LABEL: TEST: resultTypesDefinedByTraits
@run
def resultTypesDefinedByTraits():
with Context() as ctx, Location.unknown(ctx):
test.register_python_test_dialect(ctx)
module = Module.create()
with InsertionPoint(module.body):
inferred = test.InferResultsOp()
same = test.SameOperandAndResultTypeOp([inferred.results[0]])
# CHECK-COUNT-2: i32
print(same.one.type)
print(same.two.type)
first_type_attr = test.FirstAttrDeriveTypeAttrOp(
inferred.results[1], TypeAttr.get(IndexType.get()))
# CHECK-COUNT-2: index
print(first_type_attr.one.type)
print(first_type_attr.two.type)
first_attr = test.FirstAttrDeriveAttrOp(
FloatAttr.get(F32Type.get(), 3.14))
# CHECK-COUNT-3: f32
print(first_attr.one.type)
print(first_attr.two.type)
print(first_attr.three.type)
implied = test.InferResultsImpliedOp()
# CHECK: i32
print(implied.integer.type)
# CHECK: f64
print(implied.flt.type)
# CHECK: index
print(implied.index.type)