onnxruntime/tools/python/gen_opkernel_doc.py

182 lines
6.5 KiB
Python

#!/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/main/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)