Files
clang-p2996/mlir/test/python/dialects/transform_structured_ext.py
Alex Zinenko 94d608d410 [mlir] move PDL-related transform ops into an extension
The initial bring-up of the Transform dialect relied on PDL to provide
the default handle type (`!pdl.operation`) and the matching capability.
Both are now provided natively by the Transform dialect removing the
reason to have a hard dependency on the PDL dialect and its interpreter.
Move PDL-related transform operations into a separate extension.

This requires us to introduce a dialect state extension mechanism into
the Transform dialect so it no longer needs to know about PDL constraint
functions that may be injected by extensions similarly to operations and
types. This mechanism will be reused to connect pattern application
drivers and the Transform dialect.

This completes the restructuring of the Transform dialect to remove
overrilance on PDL.

Note to downstreams: flow that are using `!pdl.operation` with Transform
dialect operations will now require `transform::PDLExtension` to be
applied to the transform dialect in order to provide the transform
handle type interface for `!pdl.operation`.

Reviewed By: springerm

Differential Revision: https://reviews.llvm.org/D151104
2023-05-24 12:25:06 +00:00

212 lines
7.6 KiB
Python

# RUN: %PYTHON %s | FileCheck %s
from mlir.ir import *
from mlir.dialects import transform
from mlir.dialects import pdl
from mlir.dialects.transform import structured
from mlir.dialects.transform import pdl as transform_pdl
def run(f):
with Context(), Location.unknown():
module = Module.create()
with InsertionPoint(module.body):
print("\nTEST:", f.__name__)
f()
print(module)
return f
@run
def testDecompose():
sequence = transform.SequenceOp(transform.FailurePropagationMode.PROPAGATE, [], pdl.OperationType.get())
with InsertionPoint(sequence.body):
structured.DecomposeOp(sequence.bodyTarget)
transform.YieldOp()
# CHECK-LABEL: TEST: testDecompose
# CHECK: transform.sequence
# CHECK: transform.structured.decompose
@run
def testGeneralize():
sequence = transform.SequenceOp(transform.FailurePropagationMode.PROPAGATE, [], pdl.OperationType.get())
with InsertionPoint(sequence.body):
structured.GeneralizeOp(sequence.bodyTarget)
transform.YieldOp()
# CHECK-LABEL: TEST: testGeneralize
# CHECK: transform.sequence
# CHECK: transform.structured.generalize
@run
def testInterchange():
sequence = transform.SequenceOp(transform.FailurePropagationMode.PROPAGATE, [], pdl.OperationType.get())
with InsertionPoint(sequence.body):
structured.InterchangeOp(
sequence.bodyTarget,
iterator_interchange=[1, 0])
transform.YieldOp()
# CHECK-LABEL: TEST: testInterchange
# CHECK: transform.sequence
# CHECK: transform.structured.interchange
# CHECK: iterator_interchange = [1, 0]
@run
def testMultitileSizes():
sequence = transform.SequenceOp(transform.FailurePropagationMode.PROPAGATE, [], pdl.OperationType.get())
with InsertionPoint(sequence.body):
structured.MultiTileSizesOp(pdl.OperationType.get(),
sequence.bodyTarget,
dimension=1,
target_size=42)
transform.YieldOp()
# CHECK-LABEL: TEST: testMultitileSizes
# CHECK: transform.sequence
# CHECK: transform.structured.multitile_sizes
# CHECK-DAG: dimension = 1
# CHECK-DAG: target_size = 42
@run
def testPad():
sequence = transform.SequenceOp(transform.FailurePropagationMode.PROPAGATE, [], pdl.OperationType.get())
with InsertionPoint(sequence.body):
structured.PadOp(
sequence.bodyTarget,
padding_values=[FloatAttr.get_f32(42.0)],
padding_dimensions=[1],
transpose_paddings=[[1, 0]])
transform.YieldOp()
# CHECK-LABEL: TEST: testPad
# CHECK: transform.sequence
# CHECK: transform.structured.pad
# CHECK-DAG: padding_values = [4.200000e+01 : f32]
# CHECK-DAG: padding_dimensions = [1]
# CHECK-DAG: transpose_paddings = {{\[}}[1, 0]]
# (pack_paddings has default values)
@run
def testScalarize():
sequence = transform.SequenceOp(transform.FailurePropagationMode.PROPAGATE, [], pdl.OperationType.get())
with InsertionPoint(sequence.body):
structured.ScalarizeOp(sequence.bodyTarget)
transform.YieldOp()
# CHECK-LABEL: TEST: testScalarize
# CHECK: transform.structured.scalarize
@run
def testSplit():
sequence = transform.SequenceOp(transform.FailurePropagationMode.PROPAGATE, [], pdl.OperationType.get())
with InsertionPoint(sequence.body):
split = structured.SplitOp(sequence.bodyTarget, dimension=1, split_point=42)
structured.SplitOp(
split.results[0], dimension=3, split_point=split.results[1])
transform.YieldOp()
# CHECK-LABEL: TEST: testSplit
# CHECK: %[[F:.+]], %[[S:.+]] = transform.structured.split %{{.*}} after 42 {dimension = 1
# CHECK: transform.structured.split %[[F]] after %[[S]] {dimension = 3
@run
def testTileCompact():
sequence = transform.SequenceOp(transform.FailurePropagationMode.PROPAGATE, [], pdl.OperationType.get())
with InsertionPoint(sequence.body):
structured.TileOp(sequence.bodyTarget,
sizes=[4, 8],
interchange=[0, 1])
transform.YieldOp()
# CHECK-LABEL: TEST: testTileCompact
# CHECK: transform.sequence
# CHECK: %{{.+}}, %{{.+}}:2 = transform.structured.tile %{{.*}}[4, 8]
# CHECK: interchange = [0, 1]
@run
def testTileAttributes():
sequence = transform.SequenceOp(transform.FailurePropagationMode.PROPAGATE, [], pdl.OperationType.get())
attr = DenseI64ArrayAttr.get([4, 8])
ichange = DenseI64ArrayAttr.get([0, 1])
with InsertionPoint(sequence.body):
structured.TileOp(sequence.bodyTarget,
sizes=attr,
interchange=ichange)
transform.YieldOp()
# CHECK-LABEL: TEST: testTileAttributes
# CHECK: transform.sequence
# CHECK: %{{.+}}, %{{.+}}:2 = transform.structured.tile %{{.*}}[4, 8]
# CHECK: interchange = [0, 1]
@run
def testTileZero():
sequence = transform.SequenceOp(transform.FailurePropagationMode.PROPAGATE, [], pdl.OperationType.get())
with InsertionPoint(sequence.body):
structured.TileOp(sequence.bodyTarget,
sizes=[4, 0, 2, 0],
interchange=[0, 1, 2, 3])
transform.YieldOp()
# CHECK-LABEL: TEST: testTileZero
# CHECK: transform.sequence
# CHECK: %{{.+}}, %{{.+}}:2 = transform.structured.tile %{{.*}}[4, 0, 2, 0]
# CHECK: interchange = [0, 1, 2, 3]
@run
def testTileDynamic():
with_pdl = transform_pdl.WithPDLPatternsOp(pdl.OperationType.get())
with InsertionPoint(with_pdl.body):
sequence = transform.SequenceOp(transform.FailurePropagationMode.PROPAGATE, [],
with_pdl.bodyTarget)
with InsertionPoint(sequence.body):
m1 = transform_pdl.PDLMatchOp(pdl.OperationType.get(), sequence.bodyTarget, "first")
m2 = transform_pdl.PDLMatchOp(pdl.OperationType.get(), sequence.bodyTarget, "second")
structured.TileOp(sequence.bodyTarget,
sizes=[m1, 3, m2, 0])
transform.YieldOp()
# CHECK-LABEL: TEST: testTileDynamic
# CHECK: %[[FIRST:.+]] = pdl_match
# CHECK: %[[SECOND:.+]] = pdl_match
# CHECK: %{{.+}}, %{{.+}}:3 = transform.structured.tile %{{.*}}[%[[FIRST]], 3, %[[SECOND]], 0]
@run
def testTileExplicitLoopTypeSingle():
sequence = transform.SequenceOp(transform.FailurePropagationMode.PROPAGATE,
[], transform.AnyOpType.get())
with InsertionPoint(sequence.body):
structured.TileOp(transform.OperationType.get("scf.for"),
sequence.bodyTarget,
sizes=[2, 3, 4])
transform.YieldOp()
# CHECK-LABEL: TEST: testTileExplicitLoopTypeSingle
# CHECK: = transform.structured.tile %{{.*}} : (!{{.*}}) ->
# CHECK-COUNT-3: !transform.op<"scf.for">
@run
def testTileExplicitLoopTypeAll():
sequence = transform.SequenceOp(transform.FailurePropagationMode.PROPAGATE,
[], transform.AnyOpType.get())
types = [
transform.OperationType.get(x)
for x in ["scf.for", "scf.parallel", "scf.forall"]
]
with InsertionPoint(sequence.body):
structured.TileOp(types, sequence.bodyTarget, sizes=[2, 3, 4])
transform.YieldOp()
# CHECK-LABEL: TEST: testTileExplicitLoopTypeAll
# CHECK: = transform.structured.tile
# CHECK-SAME : (!transform.any_op) -> (!transform.any_op, !transform.op<"scf.for">,
# CHECK-SAME: !transform.op<"scf.parallel">, !transform.op<"scf.forall">
@run
def testVectorize():
sequence = transform.SequenceOp(transform.FailurePropagationMode.PROPAGATE, [], pdl.OperationType.get())
with InsertionPoint(sequence.body):
structured.VectorizeOp(sequence.bodyTarget, vectorize_padding=True)
transform.YieldOp()
# CHECK-LABEL: TEST: testVectorize
# CHECK: transform.sequence
# CHECK: = transform.structured.vectorize
# CHECK: {vectorize_padding}