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* Enable running PEP8 checks via flake8 as part of the build if flake8 is installed. Update scripts in \tools and \onnxruntime\python. Excluding \onnxruntime\python\tools which needs a lot more work to be PEP8 compliant. Also excluding orttraining\tools for the same reason. Install flake8 as part of the static_analysis build task in the Win-CPU CI so the checks are run in one CI build. Update coding standards doc.
147 lines
5.3 KiB
Python
147 lines
5.3 KiB
Python
#!/usr/bin/env python
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# Copyright (c) Microsoft Corporation. All rights reserved.
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# Licensed under the MIT License.
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from collections import defaultdict
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import io
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import os
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import argparse
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from typing import Type
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import onnxruntime.capi.onnxruntime_pybind11_state as rtpy
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def format_version_range(v):
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if (v[1] >= 2147483647):
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return str(v[0])+'+'
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else:
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return '['+str(v[0])+', '+str(v[1])+']'
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def format_type_constraints(tc):
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counter = 0
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tcstr = ''
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firsttcitem = True
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for tcitem in tc:
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counter += 1
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if firsttcitem:
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firsttcitem = False
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else:
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tcstr += ', '
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tcstr += tcitem
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return tcstr
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def format_param_strings(params):
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firstparam = True
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s = ''
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if params:
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for param in sorted(params):
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if firstparam:
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firstparam = False
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else:
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s += ' or '
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s += param
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return s
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def main(args): # type: (Type[Args]) -> None
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with io.open(args.output, 'w', newline='', encoding="utf-8") as fout:
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fout.write('## Supported Operators Data Types\n')
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fout.write(
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"*This file is automatically generated from the\n"
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" [def files](/onnxruntime/core/providers/cpu/cpu_execution_provider.cc) via "
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"[this script](/tools/python/gen_opkernel_doc.py).\n"
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" Do not modify directly and instead edit operator definitions.*\n")
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opdef = rtpy.get_all_operator_schema()
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paramdict = {}
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for schema in opdef:
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inputs = schema.inputs
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domain = schema.domain
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if (domain == ''):
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domain = 'ai.onnx.ml'
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fullname = domain+'.'+schema.name
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paramstr = '('
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firstinput = True
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if inputs:
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for inp in inputs:
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if firstinput:
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firstinput = False
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else:
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paramstr += ', '
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paramstr += '*in* {}:**{}**'.format(inp.name, inp.typeStr)
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outputs = schema.outputs
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if outputs:
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for outp in outputs:
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if firstinput:
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firstinput = False
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else:
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paramstr += ', '
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paramstr += '*out* {}:**{}**'.format(outp.name, outp.typeStr)
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paramstr += ')'
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paramset = paramdict.get(fullname, None)
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if paramset is None:
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paramdict[fullname] = set()
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paramdict[fullname].add(paramstr)
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index = defaultdict(lambda: defaultdict(lambda: defaultdict(list)))
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for op in rtpy.get_all_opkernel_def():
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domain = op.domain
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if (domain == ''):
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domain = 'ai.onnx.ml'
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index[op.provider][domain][op.op_name].append(op)
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fout.write('\n')
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for provider, domainmap in sorted(index.items()):
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fout.write('\n\n## Operators implemented by '+provider+'\n\n')
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fout.write('| Op Name | Parameters | OpSet Version | Types Supported |\n')
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fout.write('|---------|------------|---------------|-----------------|\n')
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for domain, namemap in sorted(domainmap.items()):
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fout.write('**Operator Domain:** *'+domain+'*\n')
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for name, ops in sorted(namemap.items()):
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version_type_index = defaultdict(lambda: defaultdict(set))
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for op in ops:
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formatted_version_range = format_version_range(op.version_range)
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for tname, tclist in op.type_constraints.items():
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for c in tclist:
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version_type_index[formatted_version_range][tname].add(c)
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namefirsttime = True
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for version, typemap in sorted(version_type_index.items()):
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versionfirsttime = True
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for tname, tcset in sorted(typemap.items()):
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if (namefirsttime):
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params = paramdict.get(domain+'.'+name, None)
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fout.write('|'+name+'|'+format_param_strings(params) + '|')
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namefirsttime = False
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else:
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fout.write('| | |')
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if (versionfirsttime):
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versionfirsttime = False
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fout.write(version+'|')
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else:
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fout.write('|')
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tclist = []
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for tc in sorted(tcset):
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tclist.append(tc)
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fout.write('**'+tname+'** = '+format_type_constraints(tclist)+'|\n')
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fout.write('| |\n| |\n')
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if __name__ == '__main__':
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parser = argparse.ArgumentParser(description='ONNX Runtime Operator Kernel Documentation Generator')
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parser.add_argument('--output_path', help='output markdown file path',
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default=os.path.join(os.path.dirname(os.path.realpath(__file__)), 'OperatorKernels.md')
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)
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args = parser.parse_args()
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class Args(object):
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output = args.output_path
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main(Args)
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