mirror of
https://github.com/capstone-engine/llvm-capstone.git
synced 2025-04-03 13:42:13 +00:00
86ddbdd3e7
The mix-in of this op did not allow to pass in no argument. This special case is now handled correctly and covered by the tests.
576 lines
18 KiB
Python
576 lines
18 KiB
Python
# RUN: %PYTHON %s | FileCheck %s
|
|
|
|
import functools
|
|
from typing import Callable
|
|
|
|
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()
|
|
module.operation.verify()
|
|
print(module)
|
|
return f
|
|
|
|
|
|
def create_sequence(func: Callable) -> Callable:
|
|
@functools.wraps(func)
|
|
def decorated() -> None:
|
|
sequence = transform.SequenceOp(
|
|
transform.FailurePropagationMode.Propagate,
|
|
[],
|
|
transform.AnyOpType.get(),
|
|
)
|
|
with InsertionPoint(sequence.body):
|
|
func(sequence.bodyTarget)
|
|
transform.YieldOp()
|
|
|
|
return decorated
|
|
|
|
|
|
@run
|
|
@create_sequence
|
|
def testBufferizeToAllocationOpCompact(target):
|
|
structured.BufferizeToAllocationOp(target)
|
|
# CHECK-LABEL: TEST: testBufferizeToAllocationOpCompact
|
|
# CHECK: transform.sequence
|
|
# CHECK: transform.structured.bufferize_to_allocation
|
|
|
|
|
|
@run
|
|
@create_sequence
|
|
def testBufferizeToAllocationOpArgs(target):
|
|
structured.BufferizeToAllocationOp(
|
|
target,
|
|
memory_space=3,
|
|
memcpy_op="memref.copy",
|
|
alloc_op="memref.alloca",
|
|
bufferize_destination_only=True,
|
|
)
|
|
# CHECK-LABEL: TEST: testBufferizeToAllocationOpArgs
|
|
# CHECK: transform.sequence
|
|
# CHECK: transform.structured.bufferize_to_allocation
|
|
# CHECK-SAME: alloc_op = "memref.alloca"
|
|
# CHECK-SAME: bufferize_destination_only
|
|
# CHECK-SAME: memcpy_op = "memref.copy"
|
|
# CHECK-SAME: memory_space = 3
|
|
|
|
|
|
@run
|
|
@create_sequence
|
|
def testDecompose(target):
|
|
structured.DecomposeOp(target)
|
|
# CHECK-LABEL: TEST: testDecompose
|
|
# CHECK: transform.sequence
|
|
# CHECK: transform.structured.decompose
|
|
|
|
|
|
@run
|
|
@create_sequence
|
|
def testFuseIntoContainingOpTypes(target):
|
|
fused = structured.MatchOp.match_op_names(target, ["test.dummy"])
|
|
containing = structured.MatchOp.match_op_names(target, ["test.dummy"])
|
|
structured.FuseIntoContainingOp(
|
|
transform.OperationType.get("test.dummy"),
|
|
transform.OperationType.get("test.dummy"),
|
|
fused,
|
|
containing,
|
|
)
|
|
# CHECK-LABEL: TEST: testFuseIntoContainingOpTypes
|
|
# CHECK: = transform.structured.fuse_into_containing_op
|
|
# CHECK-SAME: (!transform.any_op, !transform.any_op) -> (!transform.op<"test.dummy">, !transform.op<"test.dummy">)
|
|
|
|
|
|
@run
|
|
@create_sequence
|
|
def testFuseIntoContainingOpCompact(target):
|
|
fused = structured.MatchOp.match_op_names(target, ["test.dummy"])
|
|
containing = structured.MatchOp.match_op_names(target, ["test.dummy"])
|
|
structured.FuseIntoContainingOp(fused, containing)
|
|
# CHECK-LABEL: TEST: testFuseIntoContainingOpCompact
|
|
# CHECK: = transform.structured.fuse_into_containing_op
|
|
# CHECK-SAME: (!transform.any_op, !transform.any_op) -> (!transform.any_op, !transform.any_op)
|
|
|
|
|
|
@run
|
|
@create_sequence
|
|
def testGeneralize(target):
|
|
structured.GeneralizeOp(target)
|
|
# CHECK-LABEL: TEST: testGeneralize
|
|
# CHECK: transform.sequence
|
|
# CHECK: transform.structured.generalize
|
|
|
|
|
|
@run
|
|
@create_sequence
|
|
def testInterchange(target):
|
|
structured.InterchangeOp(target, iterator_interchange=[1, 0])
|
|
# CHECK-LABEL: TEST: testInterchange
|
|
# CHECK: transform.sequence
|
|
# CHECK: transform.structured.interchange
|
|
# CHECK: iterator_interchange = [1, 0]
|
|
|
|
|
|
@run
|
|
@create_sequence
|
|
def testMapCopyToThreadsOpCompact(target):
|
|
structured.MapCopyToThreadsOp(
|
|
target, total_num_threads=32, desired_bit_alignment=128
|
|
)
|
|
# CHECK-LABEL: TEST: testMapCopyToThreadsOpCompact
|
|
# CHECK: = transform.structured.gpu.map_copy_to_threads
|
|
# CHECK-SAME: total_num_threads = 32
|
|
# CHECK-SAME: desired_bit_alignment = 128
|
|
# CHECK-SAME: (!transform.any_op) -> (!transform.any_op, !transform.any_op)
|
|
|
|
|
|
@run
|
|
@create_sequence
|
|
def testMapCopyToThreadsOpTypes(target):
|
|
structured.MapCopyToThreadsOp(
|
|
transform.OperationType.get("test.opA"),
|
|
transform.OperationType.get("test.opB"),
|
|
target,
|
|
total_num_threads=32,
|
|
desired_bit_alignment=128,
|
|
)
|
|
# CHECK-LABEL: TEST: testMapCopyToThreadsOpTypes
|
|
# CHECK: = transform.structured.gpu.map_copy_to_threads
|
|
# CHECK-SAME: total_num_threads = 32
|
|
# CHECK-SAME: desired_bit_alignment = 128
|
|
# CHECK-SAME: (!transform.any_op) -> (!transform.op<"test.opA">, !transform.op<"test.opB">)
|
|
|
|
|
|
@run
|
|
@create_sequence
|
|
def testMatchOpNamesString(target):
|
|
structured.MatchOp.match_op_names(target, "test.dummy")
|
|
# CHECK-LABEL: TEST: testMatchOpNamesString
|
|
# CHECK: transform.structured.match ops
|
|
# CHECK-SAME: ["test.dummy"]
|
|
# CHECK-SAME: (!transform.any_op) -> !transform.any_op
|
|
|
|
|
|
@run
|
|
@create_sequence
|
|
def testMatchOpNamesList(target):
|
|
structured.MatchOp.match_op_names(target, ["test.dummy"])
|
|
# CHECK-LABEL: TEST: testMatchOpNamesList
|
|
# CHECK: transform.structured.match ops
|
|
# CHECK-SAME: ["test.dummy"]
|
|
# CHECK-SAME: (!transform.any_op) -> !transform.any_op
|
|
|
|
|
|
@run
|
|
@create_sequence
|
|
def testMaskedVectorizeNoArgs(target):
|
|
structured.MaskedVectorizeOp(target)
|
|
# CHECK-LABEL: TEST: testMaskedVectorizeNoArgs
|
|
# CHECK: transform.sequence
|
|
# CHECK: transform.structured.masked_vectorize
|
|
# CHECK-NOT: vector_sizes
|
|
|
|
|
|
@run
|
|
@create_sequence
|
|
def testMaskedVectorizeStatic(target):
|
|
structured.MaskedVectorizeOp(target, [16, 4])
|
|
# CHECK-LABEL: TEST: testMaskedVectorizeStatic
|
|
# CHECK: transform.sequence
|
|
# CHECK: transform.structured.masked_vectorize
|
|
# CHECK-SAME: vector_sizes [16, 4]
|
|
|
|
|
|
@run
|
|
@create_sequence
|
|
def testMaskedVectorizeArray(target):
|
|
sizes = Attribute.parse("[16, 4]")
|
|
structured.MaskedVectorizeOp(target, sizes)
|
|
# CHECK-LABEL: TEST: testMaskedVectorizeArray
|
|
# CHECK: transform.sequence
|
|
# CHECK: transform.structured.masked_vectorize
|
|
# CHECK-SAME: vector_sizes [16, 4]
|
|
|
|
|
|
@run
|
|
@create_sequence
|
|
def testMaskedVectorizeMixed(target):
|
|
sz1 = structured.MatchOp.match_op_names(target, ["arith.constant"])
|
|
sz2 = Attribute.parse("4")
|
|
structured.MaskedVectorizeOp(target, [sz1, sz2])
|
|
# CHECK-LABEL: TEST: testMaskedVectorizeMixed
|
|
# CHECK: transform.sequence
|
|
# CHECK: %[[V0:.*]] = transform.structured.match
|
|
# CHECK: transform.structured.masked_vectorize
|
|
# CHECK-SAME: vector_sizes [%[[V0]] : !transform.any_op, 4]
|
|
|
|
|
|
@run
|
|
@create_sequence
|
|
def testMaskedVectorizeScalable(target):
|
|
sz1 = structured.MatchOp.match_op_names(target, ["arith.constant"])
|
|
sz2 = Attribute.parse("4")
|
|
structured.MaskedVectorizeOp(target, [16, [sz1], [sz2], [8]])
|
|
# CHECK-LABEL: TEST: testMaskedVectorizeScalable
|
|
# CHECK: transform.sequence
|
|
# CHECK-DAG: %[[V0:.*]] = transform.structured.match
|
|
# CHECK-DAG: transform.structured.masked_vectorize
|
|
# CHECK-SAME: vector_sizes [16, [%[[V0]] : !transform.any_op], [4], [8]]
|
|
|
|
|
|
@run
|
|
@create_sequence
|
|
def testMaskedVectorizeArgs(target):
|
|
structured.MaskedVectorizeOp(target, [16, 4], vectorize_nd_extract=True)
|
|
# CHECK-LABEL: TEST: testMaskedVectorizeArgs
|
|
# CHECK: transform.sequence
|
|
# CHECK: transform.structured.masked_vectorize
|
|
# CHECK-SAME: vectorize_nd_extract
|
|
|
|
|
|
@run
|
|
@create_sequence
|
|
def testMatchOpNamesTyped(target):
|
|
structured.MatchOp.match_op_names(
|
|
transform.OperationType.get("test.dummy"),
|
|
target,
|
|
["test.dummy"],
|
|
)
|
|
# CHECK-LABEL: TEST: testMatchOpNamesTyped
|
|
# CHECK: transform.structured.match ops
|
|
# CHECK-SAME: ["test.dummy"]
|
|
# CHECK-SAME: (!transform.any_op) -> !transform.op<"test.dummy">
|
|
|
|
|
|
@run
|
|
@create_sequence
|
|
def testMultitileSizesCompact(target):
|
|
structured.MultiTileSizesOp(
|
|
transform.AnyOpType.get(), target, dimension=1, target_size=42
|
|
)
|
|
# CHECK-LABEL: TEST: testMultitileSizes
|
|
# CHECK: transform.sequence
|
|
# CHECK-NOT: divisor
|
|
# CHECK: transform.structured.multitile_sizes
|
|
# CHECK-NOT: divisor
|
|
# CHECK-DAG: dimension = 1
|
|
# CHECK-NOT: divisor
|
|
# CHECK-DAG: target_size = 42
|
|
# CHECK-NOT: divisor
|
|
|
|
|
|
@run
|
|
@create_sequence
|
|
def testMultitileSizesAllArgs(target):
|
|
structured.MultiTileSizesOp(
|
|
transform.AnyOpType.get(),
|
|
target,
|
|
dimension=1,
|
|
target_size=42,
|
|
divisor=2,
|
|
)
|
|
# CHECK-LABEL: TEST: testMultitileSizes
|
|
# CHECK: transform.sequence
|
|
# CHECK: transform.structured.multitile_sizes
|
|
# CHECK-DAG: dimension = 1
|
|
# CHECK-DAG: divisor = 2
|
|
# CHECK-DAG: target_size = 42
|
|
|
|
|
|
@run
|
|
@create_sequence
|
|
def testPadOpNoArgs(target):
|
|
structured.PadOp(target)
|
|
# CHECK-LABEL: TEST: testPadOpNoArgs
|
|
# CHECK: transform.sequence
|
|
# CHECK: transform.structured.pad
|
|
# CHECK-NOT: copy_back_op
|
|
# CHECK-NOT: pack_paddings
|
|
# CHECK-NOT: pad_to_multiple_of
|
|
# CHECK-NOT: padding_dimensions
|
|
# CHECK-NOT: padding_values
|
|
# CHECK-NOT: transpose_paddings
|
|
|
|
|
|
@run
|
|
@create_sequence
|
|
def testPadOpArgs(target):
|
|
structured.PadOp(
|
|
target,
|
|
padding_values=[FloatAttr.get_f32(42.0), StringAttr.get("0")],
|
|
padding_dimensions=Attribute.parse("[1]"),
|
|
pad_to_multiple_of=[128],
|
|
pack_paddings=[0],
|
|
transpose_paddings=[[1, Attribute.parse("0")], Attribute.parse("[0, 1]")],
|
|
copy_back_op="linalg.copy",
|
|
)
|
|
# CHECK-LABEL: TEST: testPadOpArgs
|
|
# CHECK: transform.sequence
|
|
# CHECK: transform.structured.pad
|
|
# CHECK-DAG: copy_back_op = "linalg.copy"
|
|
# CHECK-DAG: pack_paddings = [0]
|
|
# CHECK-DAG: pad_to_multiple_of = [128]
|
|
# CHECK-DAG: padding_dimensions = [1]
|
|
# CHECK-DAG: padding_values = [4.200000e+01 : f32, "0"]
|
|
# CHECK-DAG: transpose_paddings = {{\[}}[1, 0], [0, 1]]
|
|
|
|
|
|
@run
|
|
@create_sequence
|
|
def testScalarize(target):
|
|
structured.ScalarizeOp(target)
|
|
# CHECK-LABEL: TEST: testScalarize
|
|
# CHECK: transform.structured.scalarize
|
|
|
|
|
|
@run
|
|
@create_sequence
|
|
def testSplit(target):
|
|
split = structured.SplitOp(target, dimension=1, split_point=42)
|
|
structured.SplitOp(split.results[0], dimension=3, split_point=split.results[1])
|
|
# CHECK-LABEL: TEST: testSplit
|
|
# CHECK: %[[F:.+]], %[[S:.+]] = transform.structured.split %{{.*}} after 42 {dimension = 1
|
|
# CHECK: transform.structured.split %[[F]] after %[[S]] {dimension = 3
|
|
|
|
|
|
@run
|
|
@create_sequence
|
|
def testTileCompact(target):
|
|
structured.TileOp(target, sizes=[4, 8], interchange=[0, 1])
|
|
# CHECK-LABEL: TEST: testTileCompact
|
|
# CHECK: transform.sequence
|
|
# CHECK: %{{.+}}, %{{.+}}:2 = transform.structured.tile %{{.*}}[4, 8]
|
|
# CHECK: interchange = [0, 1]
|
|
|
|
|
|
@run
|
|
@create_sequence
|
|
def testTileAttributes(target):
|
|
attr = DenseI64ArrayAttr.get([4, 8])
|
|
ichange = DenseI64ArrayAttr.get([0, 1])
|
|
structured.TileOp(target, sizes=attr, interchange=ichange)
|
|
# CHECK-LABEL: TEST: testTileAttributes
|
|
# CHECK: transform.sequence
|
|
# CHECK: %{{.+}}, %{{.+}}:2 = transform.structured.tile %{{.*}}[4, 8]
|
|
# CHECK: interchange = [0, 1]
|
|
|
|
|
|
@run
|
|
@create_sequence
|
|
def testTileZero(target):
|
|
structured.TileOp(target, sizes=[4, 0, 2, 0], interchange=[0, 1, 2, 3])
|
|
# 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
|
|
@create_sequence
|
|
def testTileExplicitLoopTypeSingle(target):
|
|
structured.TileOp(transform.OperationType.get("scf.for"), target, sizes=[2, 3, 4])
|
|
# CHECK-LABEL: TEST: testTileExplicitLoopTypeSingle
|
|
# CHECK: = transform.structured.tile %{{.*}} : (!{{.*}}) ->
|
|
# CHECK-COUNT-3: !transform.op<"scf.for">
|
|
|
|
|
|
@run
|
|
@create_sequence
|
|
def testTileExplicitLoopTypeAll(target):
|
|
types = [
|
|
transform.OperationType.get(x)
|
|
for x in ["scf.for", "scf.parallel", "scf.forall"]
|
|
]
|
|
structured.TileOp(types, target, sizes=[2, 3, 4])
|
|
# 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
|
|
@create_sequence
|
|
def testTileScalable(target):
|
|
structured.TileOp(
|
|
target,
|
|
sizes=[4, [2]],
|
|
)
|
|
# CHECK-LABEL: TEST: testTileScalable
|
|
# CHECK: transform.sequence
|
|
# CHECK: %{{.+}}, %{{.+}}:2 = transform.structured.tile %{{.*}}[4, [2]]
|
|
|
|
|
|
@run
|
|
@create_sequence
|
|
def testTileToForallCompact(target):
|
|
matmul = transform.CastOp(transform.OperationType.get("linalg.matmul"), target)
|
|
structured.TileToForallOp(matmul, num_threads=[2, 3, 4])
|
|
# CHECK-LABEL: TEST: testTileToForallCompact
|
|
# CHECK: = transform.structured.tile_to_forall_op
|
|
# CHECK-SAME: num_threads [2, 3, 4] tile_sizes []
|
|
# CHECK-SAME: (!transform.op<"linalg.matmul">) -> (!transform.any_op, !transform.any_op)
|
|
|
|
|
|
@run
|
|
@create_sequence
|
|
def testTileToForallLoopsAndTileOpTypes(target):
|
|
structured.TileToForallOp(
|
|
transform.OperationType.get("scf.forall"), # loops_type
|
|
transform.OperationType.get("linalg.matmul"), # tiled_op_type
|
|
target,
|
|
num_threads=[2, 3, 4],
|
|
)
|
|
# CHECK-LABEL: TEST: testTileToForallLoopsAndTileOpTypes
|
|
# CHECK: = transform.structured.tile_to_forall_op
|
|
# CHECK-SAME: num_threads [2, 3, 4] tile_sizes []
|
|
# CHECK-SAME: (!transform.any_op) -> (!transform.op<"scf.forall">, !transform.op<"linalg.matmul">)
|
|
|
|
|
|
@run
|
|
@create_sequence
|
|
def testTileToForallTileSizes(target):
|
|
structured.TileToForallOp(target, tile_sizes=[2, 3, 4])
|
|
# CHECK-LABEL: TEST: testTileToForallTileSizes
|
|
# CHECK: = transform.structured.tile_to_forall_op
|
|
# CHECK-SAME: num_threads [] tile_sizes [2, 3, 4]
|
|
|
|
|
|
@run
|
|
@create_sequence
|
|
def testTileToForallMixedDynamic(target):
|
|
n = structured.MatchOp.match_op_names(target, ["test.dummy"])
|
|
structured.TileToForallOp(target, num_threads=[n, 3, 4])
|
|
# CHECK-LABEL: TEST: testTileToForallMixedDynamic
|
|
# CHECK: = transform.structured.tile_to_forall_op
|
|
# CHECK-SAME: num_threads [%{{.*}} : !transform.any_op, 3, 4]
|
|
|
|
|
|
@run
|
|
@create_sequence
|
|
def testTileToForallPackedDynamic(target):
|
|
n = structured.MatchOp.match_op_names(target, ["test.dummy"])
|
|
structured.TileToForallOp(target, num_threads=n)
|
|
# CHECK-LABEL: TEST: testTileToForallPackedDynamic
|
|
# CHECK: = transform.structured.tile_to_forall_op
|
|
# CHECK-SAME: num_threads *(%0 : !transform.any_op)
|
|
|
|
|
|
@run
|
|
@create_sequence
|
|
def testTileToForallMapping(target):
|
|
mapping = Attribute.parse("[ #gpu.thread<y>, #gpu.thread<x> ]")
|
|
structured.TileToForallOp(target, num_threads=[2, 3], mapping=mapping)
|
|
# CHECK-LABEL: TEST: testTileToForallMapping
|
|
# CHECK: = transform.structured.tile_to_forall_op
|
|
# CHECK-SAME: mapping = [#gpu.thread<y>, #gpu.thread<x>]
|
|
|
|
|
|
@run
|
|
@create_sequence
|
|
def testVectorizeAllAttrs(target):
|
|
structured.VectorizeOp(
|
|
target,
|
|
disable_multi_reduction_to_contract_patterns=True,
|
|
disable_transfer_permutation_map_lowering_patterns=True,
|
|
vectorize_nd_extract=True,
|
|
vectorize_padding=True,
|
|
)
|
|
# CHECK-LABEL: TEST: testVectorizeAllAttrs
|
|
# CHECK: transform.sequence
|
|
# CHECK: = transform.structured.vectorize
|
|
# CHECK-SAME: disable_multi_reduction_to_contract_patterns
|
|
# CHECK-SAME: disable_transfer_permutation_map_lowering_patterns
|
|
# CHECK-SAME: vectorize_nd_extract
|
|
# CHECK-SAME: vectorize_padding
|
|
|
|
|
|
@run
|
|
@create_sequence
|
|
def testVectorizeNoAttrs(target):
|
|
structured.VectorizeOp(
|
|
target,
|
|
disable_multi_reduction_to_contract_patterns=False,
|
|
disable_transfer_permutation_map_lowering_patterns=False,
|
|
vectorize_nd_extract=False,
|
|
vectorize_padding=False,
|
|
)
|
|
# CHECK-LABEL: TEST: testVectorizeNoAttrs
|
|
# CHECK: transform.sequence
|
|
# CHECK: = transform.structured.vectorize
|
|
# CHECK-NOT: disable_multi_reduction_to_contract_patterns
|
|
# CHECK-NOT: disable_transfer_permutation_map_lowering_patterns
|
|
# CHECK-NOT: vectorize_nd_extract
|
|
# CHECK-NOT: vectorize_padding
|
|
|
|
|
|
@run
|
|
@create_sequence
|
|
def testMatchInterfaceEnum(target):
|
|
names = ArrayAttr.get([StringAttr.get("test.dummy")])
|
|
result_type = transform.AnyOpType.get()
|
|
fused = structured.MatchOp.__base__(
|
|
result_type,
|
|
target,
|
|
ops=names,
|
|
interface=structured.MatchInterfaceEnum.LinalgOp,
|
|
)
|
|
# CHECK-LABEL: TEST: testMatchInterfaceEnum
|
|
# CHECK: transform.sequence
|
|
# CHECK: = transform.structured.match
|
|
# CHECK: interface{LinalgOp}
|
|
|
|
|
|
@run
|
|
@create_sequence
|
|
def testMatchInterfaceEnumReplaceAttributeBuilder(target):
|
|
@register_attribute_builder("MatchInterfaceEnum", replace=True)
|
|
def match_interface_enum(x, context):
|
|
if x == "LinalgOp":
|
|
y = 0
|
|
elif x == "TilingInterface":
|
|
y = 1
|
|
return IntegerAttr.get(IntegerType.get_signless(32, context=context), y)
|
|
|
|
names = ArrayAttr.get([StringAttr.get("test.dummy")])
|
|
result_type = transform.AnyOpType.get()
|
|
fused = structured.MatchOp.__base__(
|
|
result_type,
|
|
target,
|
|
ops=names,
|
|
interface="TilingInterface",
|
|
)
|
|
# CHECK-LABEL: TEST: testMatchInterfaceEnumReplaceAttributeBuilder
|
|
# CHECK: transform.sequence
|
|
# CHECK: = transform.structured.match
|
|
# CHECK: interface{TilingInterface}
|