onnxruntime/tools/python/gen_opkernel_doc.py

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#!/usr/bin/env python
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License.
import argparse
import io
import os
import pathlib
from collections import defaultdict
import onnxruntime.capi.onnxruntime_pybind11_state as rtpy
def format_version_range(v):
if (v[1] >= 2147483647):
return str(v[0])+'+'
else:
if (v[0] == v[1]):
return str(v[0])
else:
return '['+str(v[0])+', '+str(v[1])+']'
def format_type_constraints(tc):
counter = 0
tcstr = ''
firsttcitem = True
for tcitem in tc:
counter += 1
if firsttcitem:
firsttcitem = False
else:
tcstr += ', '
tcstr += tcitem
return tcstr
def format_param_strings(params):
firstparam = True
s = ''
if params:
for param in sorted(params):
if firstparam:
firstparam = False
else:
s += '<br><br>or<br><br>'
s += param
return s
def expand_providers(provider_filter: [str]):
providers = set()
if provider_filter:
for provider in provider_filter:
p = provider.lower()
if not p.endswith('executionprovider'):
p += 'executionprovider'
providers.add(p)
return providers
def main(output_path: pathlib.Path, provider_filter: [str]):
providers = expand_providers(provider_filter)
with io.open(output_path, 'w', newline='', encoding="utf-8") as fout:
fout.write('## Supported Operators and Data Types\n')
fout.write(
"*This file is automatically generated from the registered kernels by "
"[this script](https://github.com/microsoft/onnxruntime/blob/master/tools/python/gen_opkernel_doc.py).\n"
"Do not modify directly.*\n\n")
opdef = rtpy.get_all_operator_schema()
paramdict = {}
for schema in opdef:
inputs = schema.inputs
domain = schema.domain
if (domain == ''):
domain = 'ai.onnx'
fullname = domain+'.'+schema.name
paramstr = ''
firstinput = True
if inputs:
for inp in inputs:
if firstinput:
firstinput = False
else:
paramstr += '<br> '
paramstr += '*in* {}:**{}**'.format(inp.name, inp.typeStr)
outputs = schema.outputs
if outputs:
for outp in outputs:
if firstinput:
firstinput = False
else:
paramstr += '<br> '
paramstr += '*out* {}:**{}**'.format(outp.name, outp.typeStr)
paramstr += ''
paramset = paramdict.get(fullname, None)
if paramset is None:
paramdict[fullname] = set()
paramdict[fullname].add(paramstr)
index = defaultdict(lambda: defaultdict(lambda: defaultdict(list)))
for op in rtpy.get_all_opkernel_def():
domain = op.domain
if (domain == ''):
domain = 'ai.onnx'
index[op.provider][domain][op.op_name].append(op)
# TOC
fout.write('## Execution Providers\n\n')
for provider in sorted(index.keys()):
if providers and provider.lower() not in providers:
continue
fout.write('- [{}](#{})\n'.format(provider, provider.lower()))
fout.write('\n---------------')
for provider, domainmap in sorted(index.items()):
if providers and provider.lower() not in providers:
continue
fout.write('\n\n<a name="{}"/>\n\n'.format(provider.lower()))
fout.write('## Operators implemented by {}\n\n'.format(provider))
fout.write('| Op Name | Parameters | OpSet Version | Types Supported |\n')
fout.write('|---------|------------|---------------|-----------------|\n')
for domain, namemap in sorted(domainmap.items()):
fout.write('|**Operator Domain:** *'+domain+'*||||\n')
for name, ops in sorted(namemap.items()):
version_type_index = defaultdict(lambda: defaultdict(set))
for op in ops:
for tname, tclist in op.type_constraints.items():
for c in tclist:
version_type_index[op.version_range][tname].add(c)
namefirsttime = True
for version_range, typemap in sorted(version_type_index.items(), key=lambda x: x[0], reverse=True):
if (namefirsttime):
params = paramdict.get(domain+'.'+name, None)
fout.write('|' + name + '|' + format_param_strings(params) + '|')
namefirsttime = False
else:
fout.write('|||')
fout.write(format_version_range(version_range) + '|')
tnameindex = 0
for tname, tcset in sorted(typemap.items()):
tnameindex += 1
tclist = []
for tc in sorted(tcset):
tclist.append(tc)
fout.write('**'+tname+'** = '+format_type_constraints(tclist))
if (tnameindex < len(typemap)):
fout.write('<br/> ')
fout.write('|\n')
fout.write('| |\n| |\n')
if __name__ == '__main__':
parser = argparse.ArgumentParser(description='ONNX Runtime Operator Kernel Documentation Generator')
parser.add_argument('--providers', nargs='+',
help="Filter to specified execution providers. Case-insensitive. "
"Matches provider names from <ORT>/include/onnxruntime/core/graph/constants.h'. "
"'ExecutionProvider' is automatically appended as needed. "
"e.g. `--providers cpu cuda` will match CPUExecutionProvider and CUDAExecutionProvider.")
parser.add_argument('--output_path', help='output markdown file path', type=pathlib.Path, required=True,
default=os.path.join(os.path.dirname(os.path.realpath(__file__)), 'OperatorKernels.md'))
args = parser.parse_args()
main(args.output_path, args.providers)