llvm-project/mlir/test/python/pass_manager.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

97 lines
3.1 KiB
Python

# RUN: %PYTHON %s 2>&1 | FileCheck %s
import gc, sys
from mlir.ir import *
from mlir.passmanager import *
# Log everything to stderr and flush so that we have a unified stream to match
# errors/info emitted by MLIR to stderr.
def log(*args):
print(*args, file=sys.stderr)
sys.stderr.flush()
def run(f):
log("\nTEST:", f.__name__)
f()
gc.collect()
assert Context._get_live_count() == 0
# Verify capsule interop.
# CHECK-LABEL: TEST: testCapsule
def testCapsule():
with Context():
pm = PassManager()
pm_capsule = pm._CAPIPtr
assert '"mlir.passmanager.PassManager._CAPIPtr"' in repr(pm_capsule)
pm._testing_release()
pm1 = PassManager._CAPICreate(pm_capsule)
assert pm1 is not None # And does not crash.
run(testCapsule)
# Verify successful round-trip.
# CHECK-LABEL: TEST: testParseSuccess
def testParseSuccess():
with Context():
# A first import is expected to fail because the pass isn't registered
# until we import mlir.transforms
try:
pm = PassManager.parse("builtin.module(func.func(print-op-stats))")
# TODO: this error should be propagate to Python but the C API does not help right now.
# CHECK: error: 'print-op-stats' does not refer to a registered pass or pass pipeline
except ValueError as e:
# CHECK: ValueError exception: invalid pass pipeline 'builtin.module(func.func(print-op-stats))'.
log("ValueError exception:", e)
else:
log("Exception not produced")
# This will register the pass and round-trip should be possible now.
import mlir.transforms
pm = PassManager.parse("builtin.module(func.func(print-op-stats))")
# CHECK: Roundtrip: builtin.module(func.func(print-op-stats))
log("Roundtrip: ", pm)
run(testParseSuccess)
# Verify failure on unregistered pass.
# CHECK-LABEL: TEST: testParseFail
def testParseFail():
with Context():
try:
pm = PassManager.parse("unknown-pass")
except ValueError as e:
# CHECK: ValueError exception: invalid pass pipeline 'unknown-pass'.
log("ValueError exception:", e)
else:
log("Exception not produced")
run(testParseFail)
# Verify failure on incorrect level of nesting.
# CHECK-LABEL: TEST: testInvalidNesting
def testInvalidNesting():
with Context():
try:
import mlir.all_passes_registration
pm = PassManager.parse("func.func(normalize-memrefs)")
except ValueError as e:
# CHECK: Can't add pass 'NormalizeMemRefs' restricted to 'builtin.module' on a PassManager intended to run on 'func.func', did you intend to nest?
# CHECK: ValueError exception: invalid pass pipeline 'func.func(normalize-memrefs)'.
log("ValueError exception:", e)
else:
log("Exception not produced")
run(testInvalidNesting)
# Verify that a pass manager can execute on IR
# CHECK-LABEL: TEST: testRun
def testRunPipeline():
with Context():
pm = PassManager.parse("print-op-stats")
module = Module.parse(r"""func @successfulParse() { return }""")
pm.run(module)
# CHECK: Operations encountered:
# CHECK: builtin.module , 1
# CHECK: func.func , 1
# CHECK: func.return , 1
run(testRunPipeline)