Files
clang-p2996/mlir/test/python/dialects/builtin.py
River Riddle 3655069234 [mlir] Move the Builtin FuncOp to the Func dialect
This commit moves FuncOp out of the builtin dialect, and into the Func
dialect. This move has been planned in some capacity from the moment
we made FuncOp an operation (years ago). This commit handles the
functional aspects of the move, but various aspects are left untouched
to ease migration: func::FuncOp is re-exported into mlir to reduce
the actual API churn, the assembly format still accepts the unqualified
`func`. These temporary measures will remain for a little while to
simplify migration before being removed.

Differential Revision: https://reviews.llvm.org/D121266
2022-03-16 17:07:03 -07:00

224 lines
7.2 KiB
Python

# RUN: %PYTHON %s | FileCheck %s
from mlir.ir import *
import mlir.dialects.builtin as builtin
import mlir.dialects.func as func
def run(f):
print("\nTEST:", f.__name__)
f()
return f
# CHECK-LABEL: TEST: testFromPyFunc
@run
def testFromPyFunc():
with Context() as ctx, Location.unknown() as loc:
ctx.allow_unregistered_dialects = True
m = builtin.ModuleOp()
f32 = F32Type.get()
f64 = F64Type.get()
with InsertionPoint(m.body):
# CHECK-LABEL: func @unary_return(%arg0: f64) -> f64
# CHECK: return %arg0 : f64
@func.FuncOp.from_py_func(f64)
def unary_return(a):
return a
# CHECK-LABEL: func @binary_return(%arg0: f32, %arg1: f64) -> (f32, f64)
# CHECK: return %arg0, %arg1 : f32, f64
@func.FuncOp.from_py_func(f32, f64)
def binary_return(a, b):
return a, b
# CHECK-LABEL: func @none_return(%arg0: f32, %arg1: f64)
# CHECK: return
@func.FuncOp.from_py_func(f32, f64)
def none_return(a, b):
pass
# CHECK-LABEL: func @call_unary
# CHECK: %0 = call @unary_return(%arg0) : (f64) -> f64
# CHECK: return %0 : f64
@func.FuncOp.from_py_func(f64)
def call_unary(a):
return unary_return(a)
# CHECK-LABEL: func @call_binary
# CHECK: %0:2 = call @binary_return(%arg0, %arg1) : (f32, f64) -> (f32, f64)
# CHECK: return %0#0, %0#1 : f32, f64
@func.FuncOp.from_py_func(f32, f64)
def call_binary(a, b):
return binary_return(a, b)
# We expect coercion of a single result operation to a returned value.
# CHECK-LABEL: func @single_result_op
# CHECK: %0 = "custom.op1"() : () -> f32
# CHECK: return %0 : f32
@func.FuncOp.from_py_func()
def single_result_op():
return Operation.create("custom.op1", results=[f32])
# CHECK-LABEL: func @call_none
# CHECK: call @none_return(%arg0, %arg1) : (f32, f64) -> ()
# CHECK: return
@func.FuncOp.from_py_func(f32, f64)
def call_none(a, b):
return none_return(a, b)
## Variants and optional feature tests.
# CHECK-LABEL: func @from_name_arg
@func.FuncOp.from_py_func(f32, f64, name="from_name_arg")
def explicit_name(a, b):
return b
@func.FuncOp.from_py_func(f32, f64)
def positional_func_op(a, b, func_op):
assert isinstance(func_op, func.FuncOp)
return b
@func.FuncOp.from_py_func(f32, f64)
def kw_func_op(a, b=None, func_op=None):
assert isinstance(func_op, func.FuncOp)
return b
@func.FuncOp.from_py_func(f32, f64)
def kwargs_func_op(a, b=None, **kwargs):
assert isinstance(kwargs["func_op"], func.FuncOp)
return b
# CHECK-LABEL: func @explicit_results(%arg0: f32, %arg1: f64) -> f64
# CHECK: return %arg1 : f64
@func.FuncOp.from_py_func(f32, f64, results=[f64])
def explicit_results(a, b):
func.ReturnOp([b])
print(m)
# CHECK-LABEL: TEST: testFromPyFuncErrors
@run
def testFromPyFuncErrors():
with Context() as ctx, Location.unknown() as loc:
m = builtin.ModuleOp()
f32 = F32Type.get()
f64 = F64Type.get()
with InsertionPoint(m.body):
try:
@func.FuncOp.from_py_func(f64, results=[f64])
def unary_return(a):
return a
except AssertionError as e:
# CHECK: Capturing a python function with explicit `results=` requires that the wrapped function returns None.
print(e)
# CHECK-LABEL: TEST: testBuildFuncOp
@run
def testBuildFuncOp():
ctx = Context()
with Location.unknown(ctx) as loc:
m = builtin.ModuleOp()
f32 = F32Type.get()
tensor_type = RankedTensorType.get((2, 3, 4), f32)
with InsertionPoint.at_block_begin(m.body):
f = func.FuncOp(name="some_func",
type=FunctionType.get(
inputs=[tensor_type, tensor_type],
results=[tensor_type]),
visibility="nested")
# CHECK: Name is: "some_func"
print("Name is: ", f.name)
# CHECK: Type is: (tensor<2x3x4xf32>, tensor<2x3x4xf32>) -> tensor<2x3x4xf32>
print("Type is: ", f.type)
# CHECK: Visibility is: "nested"
print("Visibility is: ", f.visibility)
try:
entry_block = f.entry_block
except IndexError as e:
# CHECK: External function does not have a body
print(e)
with InsertionPoint(f.add_entry_block()):
func.ReturnOp([f.entry_block.arguments[0]])
pass
try:
f.add_entry_block()
except IndexError as e:
# CHECK: The function already has an entry block!
print(e)
# Try the callback builder and passing type as tuple.
f = func.FuncOp(name="some_other_func",
type=([tensor_type, tensor_type], [tensor_type]),
visibility="nested",
body_builder=lambda f: func.ReturnOp(
[f.entry_block.arguments[0]]))
# CHECK: module {
# CHECK: func nested @some_func(%arg0: tensor<2x3x4xf32>, %arg1: tensor<2x3x4xf32>) -> tensor<2x3x4xf32> {
# CHECK: return %arg0 : tensor<2x3x4xf32>
# CHECK: }
# CHECK: func nested @some_other_func(%arg0: tensor<2x3x4xf32>, %arg1: tensor<2x3x4xf32>) -> tensor<2x3x4xf32> {
# CHECK: return %arg0 : tensor<2x3x4xf32>
# CHECK: }
print(m)
# CHECK-LABEL: TEST: testFuncArgumentAccess
@run
def testFuncArgumentAccess():
with Context() as ctx, Location.unknown():
ctx.allow_unregistered_dialects = True
module = Module.create()
f32 = F32Type.get()
f64 = F64Type.get()
with InsertionPoint(module.body):
f = func.FuncOp("some_func", ([f32, f32], [f32, f32]))
with InsertionPoint(f.add_entry_block()):
func.ReturnOp(f.arguments)
f.arg_attrs = ArrayAttr.get([
DictAttr.get({
"custom_dialect.foo": StringAttr.get("bar"),
"custom_dialect.baz": UnitAttr.get()
}),
DictAttr.get({"custom_dialect.qux": ArrayAttr.get([])})
])
f.result_attrs = ArrayAttr.get([
DictAttr.get({"custom_dialect.res1": FloatAttr.get(f32, 42.0)}),
DictAttr.get({"custom_dialect.res2": FloatAttr.get(f64, 256.0)})
])
other = func.FuncOp("other_func", ([f32, f32], []))
with InsertionPoint(other.add_entry_block()):
func.ReturnOp([])
other.arg_attrs = [
DictAttr.get({"custom_dialect.foo": StringAttr.get("qux")}),
DictAttr.get()
]
# CHECK: [{custom_dialect.baz, custom_dialect.foo = "bar"}, {custom_dialect.qux = []}]
print(f.arg_attrs)
# CHECK: [{custom_dialect.res1 = 4.200000e+01 : f32}, {custom_dialect.res2 = 2.560000e+02 : f64}]
print(f.result_attrs)
# CHECK: func @some_func(
# CHECK: %[[ARG0:.*]]: f32 {custom_dialect.baz, custom_dialect.foo = "bar"},
# CHECK: %[[ARG1:.*]]: f32 {custom_dialect.qux = []}) ->
# CHECK: f32 {custom_dialect.res1 = 4.200000e+01 : f32},
# CHECK: f32 {custom_dialect.res2 = 2.560000e+02 : f64})
# CHECK: return %[[ARG0]], %[[ARG1]] : f32, f32
#
# CHECK: func @other_func(
# CHECK: %{{.*}}: f32 {custom_dialect.foo = "qux"},
# CHECK: %{{.*}}: f32)
print(module)