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