mirror of
https://github.com/saymrwulf/onnxruntime.git
synced 2026-05-14 20:48:00 +00:00
* Update the operator documentation generation
- Make layout a little nicer
- Update to latest supported operators including training
- Fix some links that are broken when the docs content is copied to github-pages
- Fix incorrect usage of 'onnx.ai.ml' as the default domain
- ML ops are now separated from the real default domain of 'onnx.ai'
- Include CPU, CUDA and training kernels
- exclude DNNL as it's not an EP we own
* There are separate paths for CUDA and CUDNN as they are not guaranteed to be in the same location on a Windows machine. Use the CUDNN path when looking for the CUDNN library.
* Enable validation of both contrib ops and operator kernels in build
Filter generation so it's deterministic
Add ability for CI to publish the md files as build artifacts if they differ so a developer can download and add to their PR to resolve any diffs.
Remove workarounds for github-pages as that will now link to the github docs which display correctly
173 lines
6.5 KiB
Python
173 lines
6.5 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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import argparse
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import io
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import os
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import pathlib
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from collections import defaultdict
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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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if (v[0] == v[1]):
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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 += '<br><br>or<br><br>'
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s += param
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return s
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def expand_providers(provider_filter: [str]):
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providers = set()
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if provider_filter:
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for provider in provider_filter:
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p = provider.lower()
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if not p.endswith('executionprovider'):
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p += 'executionprovider'
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providers.add(p)
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return providers
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def main(output_path: pathlib.Path, provider_filter: [str]):
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providers = expand_providers(provider_filter)
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with io.open(output_path, 'w', newline='', encoding="utf-8") as fout:
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fout.write('## Supported Operators and Data Types\n')
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fout.write(
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"*This file is automatically generated from the registered kernels by "
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"[this script](https://github.com/microsoft/onnxruntime/blob/master/tools/python/gen_opkernel_doc.py).\n"
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"Do not modify directly.*\n\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'
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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 += '<br> '
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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 += '<br> '
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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'
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index[op.provider][domain][op.op_name].append(op)
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# TOC
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fout.write('## Execution Providers\n\n')
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for provider in sorted(index.keys()):
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if providers and provider.lower() not in providers:
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continue
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fout.write('- [{}](#{})\n'.format(provider, provider.lower()))
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fout.write('\n---------------')
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for provider, domainmap in sorted(index.items()):
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if providers and provider.lower() not in providers:
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continue
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fout.write('\n\n<a name="{}"/>\n\n'.format(provider.lower()))
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fout.write('## Operators implemented by {}\n\n'.format(provider))
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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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for tname, tclist in op.type_constraints.items():
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for c in tclist:
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version_type_index[op.version_range][tname].add(c)
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namefirsttime = True
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for version_range, typemap in sorted(version_type_index.items(), key=lambda x: x[0], reverse=True):
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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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fout.write(format_version_range(version_range) + '|')
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tnameindex = 0
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for tname, tcset in sorted(typemap.items()):
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tnameindex += 1
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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))
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if (tnameindex < len(typemap)):
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fout.write('<br/> ')
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fout.write('|\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('--providers', nargs='+',
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help="Filter to specified execution providers. Case-insensitive. "
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"Matches provider names from <ORT>/include/onnxruntime/core/graph/constants.h'. "
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"'ExecutionProvider' is automatically appended as needed. "
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"e.g. `--providers cpu cuda` will match CPUExecutionProvider and CUDAExecutionProvider.")
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parser.add_argument('--output_path', help='output markdown file path', type=pathlib.Path, required=True,
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default=os.path.join(os.path.dirname(os.path.realpath(__file__)), 'OperatorKernels.md'))
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args = parser.parse_args()
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main(args.output_path, args.providers)
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