llvm-capstone/mlir/test/python/dialects/transform_structured_ext.py
Jeremy Furtek f6ee194b68 [mlir][ods] Do not print default-valued attributes when the value is equal to the default
This diff causes the `tblgen`-erated print() function to skip printing a
`DefaultValuedAttr` attribute when the value is equal to the default.

This feature will reduce the amount of custom printing code that needs to be
written by users a relatively common scenario. As a motivating example, for the
fastmath flags in the LLVMIR dialect, we would prefer to print this:

```
%0 = llvm.fadd %arg0, %arg1 : f32
```

instead of this:

```
%0 = llvm.fadd %arg0, %arg1 {fastmathFlags = #llvm.fastmath<none>} : f32
```

This diff makes the handling of print functionality for default-valued attributes
standard.

This is an updated version of https://reviews.llvm.org/D135398, without the per-attribute bit to control printing.

Reviewed By: Mogball

Differential Revision: https://reviews.llvm.org/D135993
2022-10-17 13:57:36 -07:00

180 lines
6.2 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
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=[
IntegerAttr.get(IntegerType.get_signless(64), 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(
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]]
# (hoist_paddings and pack_paddings have 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 = ArrayAttr.get(
[IntegerAttr.get(IntegerType.get_signless(64), x) for x in [4, 8]])
ichange = ArrayAttr.get(
[IntegerAttr.get(IntegerType.get_signless(64), x) for x in [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.WithPDLPatternsOp(pdl.OperationType.get())
with InsertionPoint(with_pdl.body):
sequence = transform.SequenceOp(transform.FailurePropagationMode.PROPAGATE, [],
with_pdl.bodyTarget)
with InsertionPoint(sequence.body):
m1 = transform.PDLMatchOp(pdl.OperationType.get(), sequence.bodyTarget, "first")
m2 = transform.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 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}