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# RUN: %PYTHON %s | FileCheck %s
from mlir.ir import *
import mlir.dialects.builtin as builtin
import mlir.dialects.func as func
import numpy as np
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)
# CHECK-LABEL: testDenseElementsAttr
@run
def testDenseElementsAttr():
with Context(), Location.unknown():
values = np.arange(4, dtype=np.int32)
i32 = IntegerType.get_signless(32)
print(DenseElementsAttr.get(values, type=i32))
# CHECK{LITERAL}: dense<[0, 1, 2, 3]> : tensor<4xi32>
print(DenseElementsAttr.get(values, type=i32, shape=(2, 2)))
# CHECK{LITERAL}: dense<[[0, 1], [2, 3]]> : tensor<2x2xi32>
print(DenseElementsAttr.get(values, type=VectorType.get((2, 2), i32)))
# CHECK{LITERAL}: dense<[[0, 1], [2, 3]]> : vector<2x2xi32>
idx_values = np.arange(4, dtype=np.int64)
idx_type = IndexType.get()
print(DenseElementsAttr.get(idx_values, type=VectorType.get([4], idx_type)))
# CHECK{LITERAL}: dense<[0, 1, 2, 3]> : vector<4xindex>
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