llvm-project/mlir/utils/generate-test-checks.py
Mehdi Amini 18ad761df0
[mlir] Fix generate-test-checks.py: don't put attr refs in CHECK-LABEL (#188985)
Two related bugs in generate-test-checks.py when a top-level operation
carries attribute alias references (e.g. `#map`, `#map1`) in its
signature:

1. The attribute reference substitution (replacing `#map` with
`#[[$ATTR_0]]`) ran *before* the pending attribute definitions were
processed, so the names were not yet available and the references were
left as-is in the output.

2. CHECK-LABEL lines do not support FileCheck variable references (e.g.
`#[[$ATTR_0]]`), so even after substitution the generated check would be
syntactically wrong.

Fix both issues:
- In the CHECK-LABEL branch, re-apply `process_attribute_references` to
the label prefix and SSA-split rest after flushing pending attribute
definitions, so that names are resolved.
- Split the label prefix at attribute reference boundaries; keep only
the text before the first reference in the CHECK-LABEL line and emit the
remainder on a CHECK-SAME line.

Before:
// CHECK-LABEL: func.func @test() attributes {amap = #map, bmap = #map1}
{

After:
  // CHECK-LABEL:   func.func @test() attributes {amap =
  // CHECK-SAME:      #[[$ATTR_0]], bmap = #[[$ATTR_1]]} {

Fixes #162310

Assisted-by: Claude Code
2026-03-27 14:59:42 +01:00

533 lines
20 KiB
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#!/usr/bin/env python3
"""A script to generate FileCheck statements for mlir unit tests.
This script is a utility to add FileCheck patterns to an mlir file.
NOTE: The input .mlir is expected to be the output from the parser, not a
stripped down variant.
Example usage:
$ generate-test-checks.py foo.mlir
$ mlir-opt foo.mlir -transformation | generate-test-checks.py
$ mlir-opt foo.mlir -transformation | generate-test-checks.py --source foo.mlir
$ mlir-opt foo.mlir -transformation | generate-test-checks.py --source foo.mlir -i
$ mlir-opt foo.mlir -transformation | generate-test-checks.py --source foo.mlir -i --source_delim_regex='gpu.func @'
The script will heuristically generate CHECK/CHECK-LABEL commands for each line
within the file. By default this script will also try to insert string
substitution blocks for all SSA value names. If --source file is specified, the
script will attempt to insert the generated CHECKs to the source file by looking
for line positions matched by --source_delim_regex.
The script is designed to make adding checks to a test case fast, it is *not*
designed to be authoritative about what constitutes a good test!
"""
# Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
# See https://llvm.org/LICENSE.txt for license information.
# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
import argparse
import os # Used to advertise this file's name ("autogenerated_note").
import re
import sys
from collections import Counter
ADVERT_BEGIN = "// NOTE: Assertions have been autogenerated by "
ADVERT_END = """
// This script is intended to make adding checks to a test case quick and easy.
// It is *not* authoritative about what constitutes a good test. After using the
// script, be sure to review and refine the generated checks. For example,
// CHECK lines should be minimized and named to reflect the tests intent.
// For comprehensive guidelines, see:
// * https://mlir.llvm.org/getting_started/TestingGuide/
"""
# Regex command to match an SSA identifier.
SSA_RE_STR = "[0-9]+|[a-zA-Z$._-][a-zA-Z0-9$._-]*"
SSA_RE = re.compile(SSA_RE_STR)
# Regex matching `dialect.op_name` (e.g. `vector.transfer_read`).
SSA_OP_NAME_RE = re.compile(r"\b(?:\s=\s[a-z_]+)[.]([a-z_]+)\b")
# Regex matching the left-hand side of an assignment
SSA_RESULTS_STR = r'\s*(%' + SSA_RE_STR + r')(\s*,\s*(%' + SSA_RE_STR + r'))*\s*='
SSA_RESULTS_RE = re.compile(SSA_RESULTS_STR)
# Regex matching attributes
ATTR_RE_STR = r'(#[a-zA-Z._-][a-zA-Z0-9._-]*)'
ATTR_RE = re.compile(ATTR_RE_STR)
# Regex matching the left-hand side of an attribute definition
ATTR_DEF_RE_STR = r'\s*' + ATTR_RE_STR + r'\s*='
ATTR_DEF_RE = re.compile(ATTR_DEF_RE_STR)
# Regex matching a FileCheck attribute variable reference produced by this script,
# e.g. #[[$ATTR_0]] or #[[$ATTR_0:.+]]. Used to detect references that cannot
# appear in a CHECK-LABEL line (CHECK-LABEL does not support variable references).
ATTR_REF_IN_LABEL_RE = re.compile(r"(#\[\[\$[^\]]*\]\])")
# Class used to generate and manage string substitution blocks for SSA value
# names.
class VariableNamer:
def __init__(self, variable_names):
self.scopes = []
# Counter for generic FileCHeck names, e.g. VAL_#N
self.name_counter = 0
# Counters for FileCheck names derived from Op names, e.g.
# TRANSFER_READ_#N (based on `vector.transfer_read`). Note, there's a
# dedicated counter for every Op type present in the input.
self.op_name_counter = Counter()
# Number of variable names to still generate in parent scope
self.generate_in_parent_scope_left = 0
# Parse variable names
self.variable_names = [name.upper() for name in variable_names.split(',')]
self.used_variable_names = set()
# Generate the following 'n' variable names in the parent scope.
def generate_in_parent_scope(self, n):
self.generate_in_parent_scope_left = n
# Generate a substitution name for the given ssa value name.
def generate_name(self, source_variable_name, use_ssa_name, op_name=""):
# Compute variable name
variable_name = (
self.variable_names.pop(0) if len(self.variable_names) > 0 else ""
)
if variable_name == "":
# If `use_ssa_name` is set, use the MLIR SSA value name to generate
# a FileCHeck substation string. As FileCheck requires these
# strings to start with a character, skip MLIR variables starting
# with a digit (e.g. `%0`).
#
# The next fallback option is to use the op name, if the
# corresponding match succeeds.
#
# If neither worked, use a generic name: `VAL_#N`.
if use_ssa_name and source_variable_name[0].isalpha():
variable_name = source_variable_name.upper()
elif op_name != "":
variable_name = (
op_name.upper() + "_" + str(self.op_name_counter[op_name])
)
self.op_name_counter[op_name] += 1
else:
variable_name = "VAL_" + str(self.name_counter)
self.name_counter += 1
# Scope where variable name is saved
scope = len(self.scopes) - 1
if self.generate_in_parent_scope_left > 0:
self.generate_in_parent_scope_left -= 1
scope = len(self.scopes) - 2
assert(scope >= 0)
# Save variable
if variable_name in self.used_variable_names:
raise RuntimeError(variable_name + ': duplicate variable name')
self.scopes[scope][source_variable_name] = variable_name
self.used_variable_names.add(variable_name)
return variable_name
# Push a new variable name scope.
def push_name_scope(self):
self.scopes.append({})
# Pop the last variable name scope.
def pop_name_scope(self):
self.scopes.pop()
# Return the level of nesting (number of pushed scopes).
def num_scopes(self):
return len(self.scopes)
# Reset the counter and used variable names.
def clear_names(self):
self.name_counter = 0
self.used_variable_names = set()
self.op_name_counter.clear()
class AttributeNamer:
def __init__(self, attribute_names):
self.name_counter = 0
self.attribute_names = [name.upper() for name in attribute_names.split(',')]
self.map = {}
self.used_attribute_names = set()
# Generate a substitution name for the given attribute name.
def generate_name(self, source_attribute_name):
# Compute FileCheck name
attribute_name = self.attribute_names.pop(0) if len(self.attribute_names) > 0 else ''
if attribute_name == '':
attribute_name = "ATTR_" + str(self.name_counter)
self.name_counter += 1
# Prepend global symbol
attribute_name = '$' + attribute_name
# Save attribute
if attribute_name in self.used_attribute_names:
raise RuntimeError(attribute_name + ': duplicate attribute name')
self.map[source_attribute_name] = attribute_name
self.used_attribute_names.add(attribute_name)
return attribute_name
# Get the saved substitution name for the given attribute name. If no name
# has been generated for the given attribute yet, None is returned.
def get_name(self, source_attribute_name):
return self.map.get(source_attribute_name)
# Return the number of SSA results in a line of type
# %0, %1, ... = ...
# The function returns 0 if there are no results.
def get_num_ssa_results(input_line):
m = SSA_RESULTS_RE.match(input_line)
return m.group().count('%') if m else 0
# Process a line of input that has been split at each SSA identifier '%'.
def process_line(line_chunks, variable_namer, use_ssa_name=False, strict_name_re=False):
output_line = ""
# Process the rest that contained an SSA value name.
for chunk in line_chunks:
ssa = SSA_RE.match(chunk)
op_name_with_dialect = SSA_OP_NAME_RE.search(chunk)
ssa_name = ssa.group(0) if ssa is not None else ""
op_name = (
op_name_with_dialect.group(1) if op_name_with_dialect is not None else ""
)
# Check if an existing variable exists for this name.
variable = None
for scope in variable_namer.scopes:
variable = scope.get(ssa_name)
if variable is not None:
break
# If one exists, then output the existing name.
if variable is not None:
output_line += "%[[" + variable + "]]"
else:
# Otherwise, generate a new variable.
variable = variable_namer.generate_name(ssa_name, use_ssa_name, op_name)
if strict_name_re:
# Use stricter regexp for the variable name, if requested.
# Greedy matching may cause issues with the generic '.*'
# regexp when the checks are split across several
# lines (e.g. for CHECK-SAME).
output_line += "%[[" + variable + ":" + SSA_RE_STR + "]]"
else:
output_line += "%[[" + variable + ":.*]]"
# Append the non named group.
output_line += chunk[len(ssa_name) :]
return output_line.rstrip() + "\n"
# Process the source file lines. The source file doesn't have to be .mlir.
def process_source_lines(source_lines, args):
source_split_re = re.compile(args.source_delim_regex)
source_segments = [[]]
for line in source_lines:
# Remove previous CHECK lines.
if line.find(args.check_prefix) != -1:
continue
# Segment the file based on --source_delim_regex.
if source_split_re.search(line):
source_segments.append([])
source_segments[-1].append(line + "\n")
return source_segments
def process_attribute_definition(line, attribute_namer):
m = ATTR_DEF_RE.match(line)
if m:
attribute_name = attribute_namer.generate_name(m.group(1))
return (
"// CHECK: #[["
+ attribute_name
+ ":.+]] ="
# The rest of the line may contain attribute references,
# so we have to process them.
+ process_attribute_references(line[len(m.group(0)) :], attribute_namer)
+ "\n"
)
return None
def process_attribute_references(line, attribute_namer):
output_line = ''
components = ATTR_RE.split(line)
for component in components:
m = ATTR_RE.match(component)
attribute_name = attribute_namer.get_name(m.group(1)) if m else None
if attribute_name:
output_line += f"#[[{attribute_name}]]{component[len(m.group()):]}"
else:
output_line += component
return output_line
# Pre-process a line of input to remove any character sequences that will be
# problematic with FileCheck.
def preprocess_line(line):
# Replace any `{{` with escaped replacements. `{{` corresponds to regex
# checks in FileCheck.
output_line = line.replace("{{", "{{\\{\\{}}")
# Replace any double brackets, '[[' with escaped replacements. '[['
# corresponds to variable names in FileCheck.
output_line = output_line.replace("[[", "{{\\[\\[}}")
# Replace any single brackets that are followed by an SSA identifier, the
# identifier will be replace by a variable; Creating the same situation as
# above.
output_line = output_line.replace("[%", "{{\\[}}%")
return output_line
def main():
parser = argparse.ArgumentParser(
description=__doc__, formatter_class=argparse.RawTextHelpFormatter
)
parser.add_argument(
"--check-prefix", default="CHECK", help="Prefix to use from check file."
)
parser.add_argument(
"-o", "--output", nargs="?", type=argparse.FileType("w"), default=None
)
parser.add_argument(
"input", nargs="?", type=argparse.FileType("r"), default=sys.stdin
)
parser.add_argument(
"--source",
type=str,
help="Print each CHECK chunk before each delimeter line in the source"
"file, respectively. The delimeter lines are identified by "
"--source_delim_regex.",
)
parser.add_argument("--source_delim_regex", type=str, default="func @")
parser.add_argument(
"--starts_from_scope",
type=int,
default=1,
help="Omit the top specified level of content. For example, by default "
'it omits "module {"',
)
parser.add_argument("-i", "--inplace", action="store_true", default=False)
parser.add_argument(
"--variable_names",
type=str,
default='',
help="Names to be used in FileCheck regular expression to represent SSA "
"variables in the order they are encountered. Separate names with commas, "
"and leave empty entries for default names (e.g.: 'DIM,,SUM,RESULT')")
parser.add_argument(
"--attribute_names",
type=str,
default='',
help="Names to be used in FileCheck regular expression to represent "
"attributes in the order they are defined. Separate names with commas,"
"commas, and leave empty entries for default names (e.g.: 'MAP0,,,MAP1')")
parser.add_argument(
"--strict_name_re",
type=bool,
default=False,
help="Set to true to use stricter regex for CHECK-SAME directives. "
"Use when Greedy matching causes issues with the generic '.*'",
)
args = parser.parse_args()
# Open the given input file.
input_lines = [l.rstrip() for l in args.input]
args.input.close()
# Generate a note used for the generated check file.
script_name = os.path.basename(__file__)
autogenerated_note = ADVERT_BEGIN + "utils/" + script_name + "\n" + ADVERT_END
source_segments = None
if args.source:
with open(args.source, "r") as f:
raw_source = f.read().replace(autogenerated_note, "")
raw_source_lines = [l.rstrip() for l in raw_source.splitlines()]
source_segments = process_source_lines(raw_source_lines, args)
if args.inplace:
assert args.output is None
output = open(args.source, "w")
elif args.output is None:
output = sys.stdout
else:
output = args.output
output_segments = [[]]
# Namers
variable_namer = VariableNamer(args.variable_names)
attribute_namer = AttributeNamer(args.attribute_names)
# Store attribute definitions to emit at appropriate scope
pending_attr_defs = []
# Process lines
for input_line in input_lines:
if not input_line:
continue
# When using `--starts_from_scope=0` to capture module lines, the file
# split needs to be skipped, otherwise a `CHECK: // -----` is inserted.
if input_line.startswith("// -----"):
continue
if ATTR_DEF_RE.match(input_line):
pending_attr_defs.append(input_line)
continue
# Lines with blocks begin with a ^. These lines have a trailing comment
# that needs to be stripped.
lstripped_input_line = input_line.lstrip()
is_block = lstripped_input_line[0] == "^"
if is_block:
input_line = input_line.rsplit("//", 1)[0].rstrip()
cur_level = variable_namer.num_scopes()
# If the line starts with a '}', pop the last name scope.
if lstripped_input_line[0] == "}":
variable_namer.pop_name_scope()
cur_level = variable_namer.num_scopes()
# If the line ends with a '{', push a new name scope.
if input_line[-1] == "{":
variable_namer.push_name_scope()
if cur_level == args.starts_from_scope:
output_segments.append([])
# Result SSA values must still be pushed to parent scope
num_ssa_results = get_num_ssa_results(input_line)
variable_namer.generate_in_parent_scope(num_ssa_results)
# Omit lines at the near top level e.g. "module {".
if cur_level < args.starts_from_scope:
continue
if len(output_segments[-1]) == 0:
variable_namer.clear_names()
# Preprocess the input to remove any sequences that may be problematic with
# FileCheck.
input_line = preprocess_line(input_line)
# Process uses of attributes in this line
input_line = process_attribute_references(input_line, attribute_namer)
# Split the line at the each SSA value name.
ssa_split = input_line.split("%")
# If this is a top-level operation use 'CHECK-LABEL', otherwise 'CHECK:'.
if len(output_segments[-1]) != 0 or not ssa_split[0]:
output_line = "// " + args.check_prefix + ": "
# Pad to align with the 'LABEL' statements.
output_line += " " * len("-LABEL")
# Output the first line chunk that does not contain an SSA name.
output_line += ssa_split[0]
# Process the rest of the input line.
output_line += process_line(ssa_split[1:], variable_namer)
else:
# Emit any pending attribute definitions at the start of this scope.
# This must happen *before* re-processing the label line's attribute
# references below, so that names are available for substitution.
for attr in pending_attr_defs:
attr_line = process_attribute_definition(attr, attribute_namer)
if attr_line:
output_segments[-1].append(attr_line)
pending_attr_defs.clear()
# Re-apply attribute reference substitution now that names have been
# generated by the pending attribute definitions above. The first call
# at line 431 may have run before the names were defined.
label_prefix = process_attribute_references(ssa_split[0], attribute_namer)
ssa_rest = [
process_attribute_references(arg, attribute_namer)
for arg in ssa_split[1:]
]
# CHECK-LABEL does not support FileCheck variable references such as
# #[[$ATTR_0]]. If the label prefix contains attribute references, split
# at the first one: keep only the text before it in the CHECK-LABEL line
# and move the remainder to a following CHECK-SAME line.
label_attr_parts = ATTR_REF_IN_LABEL_RE.split(label_prefix)
output_line = (
"// "
+ args.check_prefix
+ "-LABEL: "
+ label_attr_parts[0].rstrip()
+ "\n"
)
# Pad continuation lines to align with the end of the label prefix
# (capped at 20 chars to avoid excessive indentation).
label_length = len(label_attr_parts[0])
pad_depth = label_length if label_length < 21 else 4
# Emit any attribute references from the label prefix as CHECK-SAME.
if len(label_attr_parts) > 1:
output_line += "// " + args.check_prefix + "-SAME: "
output_line += " " * pad_depth
output_line += "".join(label_attr_parts[1:]).rstrip() + "\n"
# Process the rest of the input line on separate check lines.
for argument in ssa_rest:
output_line += "// " + args.check_prefix + "-SAME: "
output_line += " " * pad_depth
# Process the rest of the line. Use the original SSA name to generate the LIT
# variable names.
use_ssa_names = True
output_line += process_line(
[argument], variable_namer, use_ssa_names, args.strict_name_re
)
# Append the output line.
output_segments[-1].append(output_line)
output.write(autogenerated_note + "\n")
# Write the output.
if source_segments:
assert len(output_segments) == len(source_segments)
for check_segment, source_segment in zip(output_segments, source_segments):
for line in check_segment:
output.write(line)
for line in source_segment:
output.write(line)
else:
for segment in output_segments:
output.write("\n")
for output_line in segment:
output.write(output_line)
output.write("\n")
output.close()
if __name__ == "__main__":
main()