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llvm-project/mlir/utils/spirv/gen_spirv_dialect.py

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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Copyright 2019 The MLIR Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# Script for updating SPIR-V dialect by scraping information from SPIR-V
# HTML and JSON specs from the Internet.
#
# For example, to define the enum attribute for SPIR-V memory model:
#
# ./gen_spirv_dialect.py --base_td_path /path/to/SPIRVBase.td \
# --new-enum MemoryModel
#
# The 'operand_kinds' dict of spirv.core.grammar.json contains all supported
# SPIR-V enum classes.
import re
import requests
import textwrap
SPIRV_HTML_SPEC_URL = 'https://www.khronos.org/registry/spir-v/specs/unified1/SPIRV.html'
SPIRV_JSON_SPEC_URL = 'https://raw.githubusercontent.com/KhronosGroup/SPIRV-Headers/master/include/spirv/unified1/spirv.core.grammar.json'
AUTOGEN_OP_DEF_SEPARATOR = '\n// -----\n\n'
AUTOGEN_ENUM_SECTION_MARKER = 'enum section. Generated from SPIR-V spec; DO NOT MODIFY!'
AUTOGEN_OPCODE_SECTION_MARKER = (
'opcode section. Generated from SPIR-V spec; DO NOT MODIFY!')
def get_spirv_doc_from_html_spec():
"""Extracts instruction documentation from SPIR-V HTML spec.
Returns:
- A dict mapping from instruction opcode to documentation.
"""
response = requests.get(SPIRV_HTML_SPEC_URL)
spec = response.content
from bs4 import BeautifulSoup
spirv = BeautifulSoup(spec, 'html.parser')
section_anchor = spirv.find('h3', {'id': '_a_id_instructions_a_instructions'})
doc = {}
for section in section_anchor.parent.find_all('div', {'class': 'sect3'}):
for table in section.find_all('table'):
inst_html = table.tbody.tr.td.p
opname = inst_html.a['id']
# Ignore the first line, which is just the opname.
doc[opname] = inst_html.text.split('\n', 1)[1].strip()
return doc
def get_spirv_grammar_from_json_spec():
"""Extracts operand kind and instruction grammar from SPIR-V JSON spec.
Returns:
- A list containing all operand kinds' grammar
- A list containing all instructions' grammar
"""
response = requests.get(SPIRV_JSON_SPEC_URL)
spec = response.content
import json
spirv = json.loads(spec)
return spirv['operand_kinds'], spirv['instructions']
def split_list_into_sublists(items, offset):
"""Split the list of items into multiple sublists.
This is to make sure the string composed from each sublist won't exceed
80 characters.
Arguments:
- items: a list of strings
- offset: the offset in calculating each sublist's length
"""
chuncks = []
chunk = []
chunk_len = 0
for item in items:
chunk_len += len(item) + 2
if chunk_len > 80:
chuncks.append(chunk)
chunk = []
chunk_len = len(item) + 2
chunk.append(item)
if len(chunk) != 0:
chuncks.append(chunk)
return chuncks
def gen_operand_kind_enum_attr(operand_kind):
"""Generates the TableGen I32EnumAttr definition for the given operand kind.
Returns:
- The operand kind's name
- A string containing the TableGen I32EnumAttr definition
"""
if 'enumerants' not in operand_kind:
return '', ''
kind_name = operand_kind['kind']
kind_acronym = ''.join([c for c in kind_name if c >= 'A' and c <= 'Z'])
kind_cases = [(case['enumerant'], case['value'])
for case in operand_kind['enumerants']]
max_len = max([len(symbol) for (symbol, _) in kind_cases])
# Generate the definition for each enum case
fmt_str = 'def SPV_{acronym}_{symbol} {colon:>{offset}} '\
'I32EnumAttrCase<"{symbol}", {value}>;'
case_defs = [
fmt_str.format(
acronym=kind_acronym,
symbol=case[0],
value=case[1],
colon=':',
offset=(max_len + 1 - len(case[0]))) for case in kind_cases
]
case_defs = '\n'.join(case_defs)
# Generate the list of enum case names
fmt_str = 'SPV_{acronym}_{symbol}';
case_names = [fmt_str.format(acronym=kind_acronym,symbol=case[0])
for case in kind_cases]
# Split them into sublists and concatenate into multiple lines
case_names = split_list_into_sublists(case_names, 6)
case_names = ['{:6}'.format('') + ', '.join(sublist)
for sublist in case_names]
case_names = ',\n'.join(case_names)
# Generate the enum attribute definition
enum_attr = 'def SPV_{name}Attr :\n '\
'I32EnumAttr<"{name}", "valid SPIR-V {name}", [\n{cases}\n ]> {{\n'\
' let returnType = "::mlir::spirv::{name}";\n'\
' let convertFromStorage = '\
'"static_cast<::mlir::spirv::{name}>($_self.getInt())";\n'\
' let cppNamespace = "::mlir::spirv";\n}}'.format(
name=kind_name, cases=case_names)
return kind_name, case_defs + '\n\n' + enum_attr
def gen_opcode(instructions):
""" Generates the TableGen definition to map opname to opcode
Returns:
- A string containing the TableGen SPV_OpCode definition
"""
max_len = max([len(inst['opname']) for inst in instructions])
def_fmt_str = 'def SPV_OC_{name} {colon:>{offset}} '\
'I32EnumAttrCase<"{name}", {value}>;'
opcode_defs = [
def_fmt_str.format(
name=inst['opname'],
value=inst['opcode'],
colon=':',
offset=(max_len + 1 - len(inst['opname']))) for inst in instructions
]
opcode_str = '\n'.join(opcode_defs)
decl_fmt_str = 'SPV_OC_{name}'
opcode_list = [
decl_fmt_str.format(name=inst['opname']) for inst in instructions
]
opcode_list = split_list_into_sublists(opcode_list, 6)
opcode_list = [
'{:6}'.format('') + ', '.join(sublist) for sublist in opcode_list
]
opcode_list = ',\n'.join(opcode_list)
enum_attr = 'def SPV_OpcodeAttr :\n'\
' I32EnumAttr<"{name}", "valid SPIR-V instructions", [\n'\
'{lst}\n'\
' ]> {{\n'\
' let returnType = "::mlir::spirv::{name}";\n'\
' let convertFromStorage = '\
'"static_cast<::mlir::spirv::{name}>($_self.getInt())";\n'\
' let cppNamespace = "::mlir::spirv";\n}}'.format(
name='Opcode', lst=opcode_list)
return opcode_str + '\n\n' + enum_attr
def update_td_opcodes(path, instructions, filter_list):
"""Updates SPIRBase.td with new generated opcode cases.
Arguments:
- path: the path to SPIRBase.td
- instructions: a list containing all SPIR-V instructions' grammar
- filter_list: a list containing new opnames to add
"""
with open(path, 'r') as f:
content = f.read()
content = content.split(AUTOGEN_OPCODE_SECTION_MARKER)
assert len(content) == 3
# Extend opcode list with existing list
existing_opcodes = [k[11:] for k in re.findall('def SPV_OC_\w+', content[1])]
filter_list.extend(existing_opcodes)
filter_list = list(set(filter_list))
# Generate the opcode for all instructions in SPIR-V
filter_instrs = list(
filter(lambda inst: (inst['opname'] in filter_list), instructions))
# Sort instruction based on opcode
filter_instrs.sort(key=lambda inst: inst['opcode'])
opcode = gen_opcode(filter_instrs)
# Substitute the opcode
content = content[0] + AUTOGEN_OPCODE_SECTION_MARKER + '\n\n' + \
opcode + '\n\n// End ' + AUTOGEN_OPCODE_SECTION_MARKER \
+ content[2]
with open(path, 'w') as f:
f.write(content)
def update_td_enum_attrs(path, operand_kinds, filter_list):
"""Updates SPIRBase.td with new generated enum definitions.
Arguments:
- path: the path to SPIRBase.td
- operand_kinds: a list containing all operand kinds' grammar
- filter_list: a list containing new enums to add
"""
with open(path, 'r') as f:
content = f.read()
content = content.split(AUTOGEN_ENUM_SECTION_MARKER)
assert len(content) == 3
# Extend filter list with existing enum definitions
existing_kinds = [
k[8:-4] for k in re.findall('def SPV_\w+Attr', content[1])]
filter_list.extend(existing_kinds)
# Generate definitions for all enums in filter list
defs = [gen_operand_kind_enum_attr(kind)
for kind in operand_kinds if kind['kind'] in filter_list]
# Sort alphabetically according to enum name
defs.sort(key=lambda enum : enum[0])
# Only keep the definitions from now on
defs = [enum[1] for enum in defs]
# Substitute the old section
content = content[0] + AUTOGEN_ENUM_SECTION_MARKER + '\n\n' + \
'\n\n'.join(defs) + "\n\n// End " + AUTOGEN_ENUM_SECTION_MARKER \
+ content[2];
with open(path, 'w') as f:
f.write(content)
def snake_casify(name):
"""Turns the given name to follow snake_case convension."""
name = re.sub('\W+', '', name).split()
name = [s.lower() for s in name]
return '_'.join(name)
def map_spec_operand_to_ods_argument(operand):
"""Maps a operand in SPIR-V JSON spec to an op argument in ODS.
Arguments:
- A dict containing the operand's kind, quantifier, and name
Returns:
- A string containing both the type and name for the argument
"""
kind = operand['kind']
quantifier = operand.get('quantifier', '')
# These instruction "operands" are for encoding the results; they should
# not be handled here.
assert kind != 'IdResultType', 'unexpected to handle "IdResultType" kind'
assert kind != 'IdResult', 'unexpected to handle "IdResult" kind'
if kind == 'IdRef':
if quantifier == '':
arg_type = 'SPV_Type'
elif quantifier == '?':
arg_type = 'SPV_Optional<SPV_Type>'
else:
arg_type = 'Variadic<SPV_Type>'
elif kind == 'IdMemorySemantics' or kind == 'IdScope':
# TODO(antiagainst): Need to further constrain 'IdMemorySemantics'
# and 'IdScope' given that they should be gernated from OpConstant.
assert quantifier == '', ('unexpected to have optional/variadic memory '
'semantics or scope <id>')
arg_type = 'I32'
elif kind == 'LiteralInteger':
if quantifier == '':
arg_type = 'I32Attr'
elif quantifier == '?':
arg_type = 'OptionalAttr<I32Attr>'
else:
arg_type = 'OptionalAttr<I32ArrayAttr>'
elif kind == 'LiteralString' or \
kind == 'LiteralContextDependentNumber' or \
kind == 'LiteralExtInstInteger' or \
kind == 'LiteralSpecConstantOpInteger' or \
kind == 'PairLiteralIntegerIdRef' or \
kind == 'PairIdRefLiteralInteger' or \
kind == 'PairIdRefIdRef':
assert False, '"{}" kind unimplemented'.format(kind)
else:
# The rest are all enum operands that we represent with op attributes.
assert quantifier != '*', 'unexpected to have variadic enum attribute'
arg_type = 'SPV_{}Attr'.format(kind)
if quantifier == '?':
arg_type = 'OptionalAttr<{}>'.format(arg_type)
name = operand.get('name', '')
name = snake_casify(name) if name else kind.lower()
return '{}:${}'.format(arg_type, name)
def get_op_definition(instruction, doc, existing_info):
"""Generates the TableGen op definition for the given SPIR-V instruction.
Arguments:
- instruction: the instruction's SPIR-V JSON grammar
- doc: the instruction's SPIR-V HTML doc
- existing_info: a dict containing potential manually specified sections for
this instruction
Returns:
- A string containing the TableGen op definition
"""
fmt_str = 'def SPV_{opname}Op : SPV_Op<"{opname}", [{traits}]> {{\n'\
' let summary = {summary};\n\n'\
' let description = [{{\n'\
'{description}\n\n'\
' ### Custom assembly form\n'\
'{assembly}'\
'}}];\n\n'\
' let arguments = (ins{args});\n\n'\
' let results = (outs{results});\n'\
'{extras}'\
'}}\n'
opname = instruction['opname'][2:]
summary, description = doc.split('\n', 1)
wrapper = textwrap.TextWrapper(
width=76, initial_indent=' ', subsequent_indent=' ')
# Format summary. If the summary can fit in the same line, we print it out
# as a "-quoted string; otherwise, wrap the lines using "[{...}]".
summary = summary.strip();
if len(summary) + len(' let summary = "";') <= 80:
summary = '"{}"'.format(summary)
else:
summary = '[{{\n{}\n }}]'.format(wrapper.fill(summary))
# Wrap description
description = description.split('\n')
description = [wrapper.fill(line) for line in description if line]
description = '\n\n'.join(description)
operands = instruction.get('operands', [])
# Set op's result
results = ''
if len(operands) > 0 and operands[0]['kind'] == 'IdResultType':
results = '\n SPV_Type:$result\n '
operands = operands[1:]
if 'results' in existing_info:
results = existing_info['results']
# Ignore the operand standing for the result <id>
if len(operands) > 0 and operands[0]['kind'] == 'IdResult':
operands = operands[1:]
# Set op' argument
arguments = existing_info.get('arguments', None)
if arguments is None:
arguments = [map_spec_operand_to_ods_argument(o) for o in operands]
arguments = '\n '.join(arguments)
if arguments:
# Prepend and append whitespace for formatting
arguments = '\n {}\n '.format(arguments)
assembly = existing_info.get('assembly', None)
if assembly is None:
assembly = ' ``` {.ebnf}\n'\
' [TODO]\n'\
' ```\n\n'\
' For example:\n\n'\
' ```\n'\
' [TODO]\n'\
' ```\n '
return fmt_str.format(
opname=opname,
traits=existing_info.get('traits', ''),
summary=summary,
description=description,
assembly=assembly,
args=arguments,
results=results,
extras=existing_info.get('extras', ''))
def extract_td_op_info(op_def):
"""Extracts potentially manually specified sections in op's definition.
Arguments: - A string containing the op's TableGen definition
- doc: the instruction's SPIR-V HTML doc
Returns:
- A dict containing potential manually specified sections
"""
# Get opname
opname = [o[8:-2] for o in re.findall('def SPV_\w+Op', op_def)]
assert len(opname) == 1, 'more than one ops in the same section!'
opname = opname[0]
# Get traits
op_tmpl_params = op_def.split('<', 1)[1].split('>', 1)[0].split(', ', 1)
if len(op_tmpl_params) == 1:
traits = ''
else:
traits = op_tmpl_params[1].strip('[]')
# Get custom assembly form
rest = op_def.split('### Custom assembly form\n')
assert len(rest) == 2, \
'{}: cannot find "### Custom assembly form"'.format(opname)
rest = rest[1].split(' let arguments = (ins')
assert len(rest) == 2, '{}: cannot find arguments'.format(opname)
assembly = rest[0].rstrip('}];\n')
# Get arguments
rest = rest[1].split(' let results = (outs')
assert len(rest) == 2, '{}: cannot find results'.format(opname)
args = rest[0].rstrip(');\n')
# Get results
rest = rest[1].split(');', 1)
assert len(rest) == 2, \
'{}: cannot find ");" ending results'.format(opname)
results = rest[0]
extras = rest[1].strip(' }\n')
if extras:
extras = '\n {}\n'.format(extras)
return {
# Prefix with 'Op' to make it consistent with SPIR-V spec
'opname': 'Op{}'.format(opname),
'traits': traits,
'assembly': assembly,
'arguments': args,
'results': results,
'extras': extras
}
def update_td_op_definitions(path, instructions, docs, filter_list):
"""Updates SPIRVOps.td with newly generated op definition.
Arguments:
- path: path to SPIRVOps.td
- instructions: SPIR-V JSON grammar for all instructions
- docs: SPIR-V HTML doc for all instructions
- filter_list: a list containing new opnames to include
Returns:
- A string containing all the TableGen op definitions
"""
with open(path, 'r') as f:
content = f.read()
# Split the file into chuncks, each containing one op.
ops = content.split(AUTOGEN_OP_DEF_SEPARATOR)
header = ops[0]
footer = ops[-1]
ops = ops[1:-1]
# For each existing op, extract the manually-written sections out to retain
# them when re-generating the ops. Also append the existing ops to filter
# list.
op_info_dict = {}
for op in ops:
info_dict = extract_td_op_info(op)
opname = info_dict['opname']
op_info_dict[opname] = info_dict
filter_list.append(opname)
filter_list = sorted(list(set(filter_list)))
op_defs = []
for opname in filter_list:
# Find the grammar spec for this op
instruction = next(
inst for inst in instructions if inst['opname'] == opname)
op_defs.append(
get_op_definition(instruction, docs[opname],
op_info_dict.get(opname, {})))
# Substitute the old op definitions
op_defs = [header] + op_defs + [footer]
content = AUTOGEN_OP_DEF_SEPARATOR.join(op_defs)
with open(path, 'w') as f:
f.write(content)
if __name__ == '__main__':
import argparse
cli_parser = argparse.ArgumentParser(
description='Update SPIR-V dialect definitions using SPIR-V spec')
cli_parser.add_argument(
'--base-td-path',
dest='base_td_path',
type=str,
default=None,
help='Path to SPIRVBase.td')
cli_parser.add_argument(
'--op-td-path',
dest='op_td_path',
type=str,
default=None,
help='Path to SPIRVOps.td')
cli_parser.add_argument(
'--new-enum',
dest='new_enum',
type=str,
default=None,
help='SPIR-V enum to be added to SPIRVBase.td')
cli_parser.add_argument(
'--new-opcodes',
dest='new_opcodes',
type=str,
default=None,
nargs='*',
help='update SPIR-V opcodes in SPIRVBase.td')
cli_parser.add_argument(
'--new-inst',
dest='new_inst',
type=str,
default=None,
help='SPIR-V instruction to be added to SPIRVOps.td')
args = cli_parser.parse_args()
operand_kinds, instructions = get_spirv_grammar_from_json_spec()
# Define new enum attr
if args.new_enum is not None:
assert args.base_td_path is not None
filter_list = [args.new_enum] if args.new_enum else []
update_td_enum_attrs(args.base_td_path, operand_kinds, filter_list)
# Define new opcode
if args.new_opcodes is not None:
assert args.base_td_path is not None
update_td_opcodes(args.base_td_path, instructions, args.new_opcodes)
# Define new op
if args.new_inst is not None:
assert args.op_td_path is not None
filter_list = [args.new_inst] if args.new_inst else []
docs = get_spirv_doc_from_html_spec()
update_td_op_definitions(args.op_td_path, instructions, docs, filter_list)
print('Done. Note that this script just generates a template; ', end='')
print('please read the spec and update traits, arguments, and ', end='')
print('results accordingly.')
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