[docs] Document rewriter pattern options #2406

Copilot · 2025-06-19T20:55:01Z

This PR adds comprehensive documentation for the rewriter pattern options that were previously undocumented. The rewriter pattern system supports four key options for controlling pattern matching and replacement behavior:

New Documentation Added

`_allow_other_inputs` option

File: docs/tutorial/rewriter/allow_other_inputs.md
Purpose: Controls whether patterns can match nodes with additional inputs beyond those specified
Default: False (exact input matching)
Example: Matching Conv operations that may have optional bias inputs

def conv_pattern(op, input, weight):
    # Matches Conv with 2 or 3 inputs (weight + optional bias)
    return op.Conv(input, weight, _allow_other_inputs=True)

`_domain` option

File: docs/tutorial/rewriter/domain_option.md
Purpose: Specifies operator domains for pattern matching and replacement
Use cases: Domain-specific rewrites, migrating between operator domains
Example: Targeting operations from specific domains like "com.microsoft"

def custom_relu_pattern(op, input):
    # Only matches Relu from custom domain
    return op.Relu(input, _domain="custom.domain")

`_outputs` option

File: docs/tutorial/rewriter/outputs_option.md
Purpose: Specifies number and names of operation outputs
Formats: Integer count (_outputs=2) or named list (_outputs=["first", "second"])
Example: Handling multi-output operations like Split

def split_pattern(op, input):
    # Matches Split operations with exactly 2 outputs
    return op.Split(input, num_outputs=2, axis=0, _outputs=2)

Enhanced `_allow_other_attributes` documentation

File: docs/tutorial/rewriter/attributes.md (improved formatting)
Already documented: Controls whether patterns match nodes with additional attributes
Default: True (allows extra attributes)

Documentation Structure Improvements

Added "Pattern Options" section to main rewriter documentation
Integrated all option docs into the tutorial flow
Created working code examples for each option
Followed existing documentation patterns and style
All examples compile and run successfully
Documentation builds correctly with Sphinx

The documentation now provides complete coverage of all rewriter pattern options with practical examples showing real-world usage patterns.

Fixes #2405.

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Co-authored-by: justinchuby <[email protected]>

justinchuby · 2025-06-19T23:13:22Z

@gramalingam

codecov · 2025-06-19T23:15:09Z

❌ 3 Tests Failed:

Tests completed	Failed	Passed	Skipped
15730	3	15727	1699

View the top 3 failed test(s) by shortest run time

onnxscript.backend.onnx_export_test.TestOnnxBackEnd::test_export2python_produces_correct_onnx_script_model_1143_test_softmax_example

Stack Traces | 0.004s run time

onnxscript\backend\onnx_export_test.py:137: in extract_functions
    mod = importlib.import_module(import_name)
          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
C:\hostedtoolcache\windows\Python\3.12.10\x64\Lib\importlib\__init__.py:90: in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
E   ModuleNotFoundError: No module named 'tests.onnx_backend_test_code.test_softmax_example'

The above exception was the direct cause of the following exception:
.nox\test\Lib\site-packages\parameterized\parameterized.py:620: in standalone_func
    return func(*(a + p.args), **p.kwargs, **kw)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\backend\onnx_export_test.py:271: in test_export2python_produces_correct_onnx_script_model
    functions = extract_functions(backend_test.name, code, self.test_folder)
                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\backend\onnx_export_test.py:139: in extract_functions
    raise AssertionError(
E   AssertionError: Unable to import 'tests.onnx_backend_test_code.test_softmax_example' (e=No module named 'tests.onnx_backend_test_code.test_softmax_example') (file: 'D:\\a\\onnxscript\\onnxscript\\tests\\onnx_backend_test_code\\test_softmax_example.py', absolute path: 'D:\\a\\onnxscript\\onnxscript\\tests\\onnx_backend_test_code\\test_softmax_example.py', current folder: D:\a\onnxscript\onnxscript
E   ---- CONTENT --
E   import numpy
E   from onnx import TensorProto
E   from onnx.helper import make_tensor
E   from onnxscript import script, external_tensor
E   from onnxscript.values import Opset
E   from onnxscript.onnx_types import FLOAT
E   from onnxscript.onnx_opset import opset13
E   
E   @script()
E   def bck_test_softmax_example(x: FLOAT[1,3]) -> (FLOAT[1,3]):
E       y = opset13.Softmax(x)
E       return y

onnxscript.backend.onnx_export_test.TestOnnxBackEnd::test_export2python_produces_correct_onnx_script_model_0125_test_ai_onnx_ml_tree_ensemble_set_membership

Stack Traces | 0.009s run time

onnxscript/converter.py:460: in _eval_constant_expr
    return eval(cpl, self.globals, locals)  # pylint: disable=eval-used
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
E   NameError: name 'nan' is not defined

The above exception was the direct cause of the following exception:
..../test_ort_nightly/lib/python3.11.../site-packages/parameterized/parameterized.py:620: in standalone_func
    return func(*(a + p.args), **p.kwargs, **kw)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript/backend/onnx_export_test.py:271: in test_export2python_produces_correct_onnx_script_model
    functions = extract_functions(backend_test.name, code, self.test_folder)
                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript/backend/onnx_export_test.py:137: in extract_functions
    mod = importlib.import_module(import_name)
          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.../Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/importlib/__init__.py:126: in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
<frozen importlib._bootstrap>:1204: in _gcd_import
    ???
<frozen importlib._bootstrap>:1176: in _find_and_load
    ???
<frozen importlib._bootstrap>:1147: in _find_and_load_unlocked
    ???
<frozen importlib._bootstrap>:690: in _load_unlocked
    ???
..../test_ort_nightly/lib/python3.11.../_pytest/assertion/rewrite.py:186: in exec_module
    exec(co, module.__dict__)
tests/onnx_backend_test_code/test_ai_onnx_ml_tree_ensemble_set_membership.py:9: in <module>
    @script()
     ^^^^^^^^
onnxscript/main.py:94: in transform
    result = script_check(f_ast, opset, env, src, default_opset=default_opset)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript/main.py:38: in script_check
    return convert.translate_function_def(f)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript/converter.py:1452: in translate_function_def
    fn_ir = self._translate_function_def_common(stmt)
            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript/converter.py:1439: in _translate_function_def_common
    self._translate_stmt(s, index_of_stmt=i)
onnxscript/converter.py:961: in _translate_stmt
    return self._translate_assign_stmt(node)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript/converter.py:1048: in _translate_assign_stmt
    assign(lhs, rhs)
onnxscript/converter.py:992: in assign
    t = self._translate_expr(rhs, lhs).name
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript/converter.py:546: in _translate_expr
    r = self._translate_call_expr(node)
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript/converter.py:825: in _translate_call_expr
    attrs = [
onnxscript/converter.py:826: in <listcomp>
    self._translate_attr(x, y, callee.op_schema.attributes[x])
onnxscript/converter.py:510: in _translate_attr
    val = self._eval_constant_expr(expr)
          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript/converter.py:462: in _eval_constant_expr
    raise NameError(
E   NameError: ERROR: Missing names, globals contains ['__name__', '__doc__', '__package__', '__loader__', '__spec__', '__file__', '__cached__', '__builtins__', '@py_builtins', '@pytest_ar', 'numpy', 'TensorProto', 'make_tensor', 'script', 'external_tensor', 'Opset', 'FLOAT', 'ai_onnx_ml5'], locals [].
E   at: Function 'bck_test_ai_onnx_ml_tree_ensemble_set_membership', line 3
E       Y = ai_onnx_ml5.TreeEnsemble(X, aggregate_function=1, leaf_targetids=[0, 1, 2, 3], leaf_weights=make_tensor("value", 1, dims=[4], vals=[1.0, 10.0, 1000.0, 100.0]), membership_values=make_tensor("value", 1, dims=[8], vals=[1.2000000476837158, 3.700000047683716, 8.0, 9.0, nan, 12.0, 7.0, nan]), n_targets=4, nodes_falseleafs=[1, 0, 1], nodes_falsenodeids=[2, 2, 3], nodes_featureids=[0, 0, 0], nodes_modes=make_tensor("value", 2, dims=[3], vals=[0, 6, 6]), nodes_splits=make_tensor("value", 1, dims=[3], vals=[11.0, 232344.0, nan]), nodes_trueleafs=[0, 1, 1], nodes_truenodeids=[1, 0, 1], post_transform=0, tree_roots=[0])
E                                                                                                                                                                                             ^

onnxscript.backend.onnx_export_test.TestOnnxBackEnd::test_export2python_produces_correct_onnx_script_model_0026_test_ai_onnx_ml_tree_ensemble_set_membership

Stack Traces | 0.015s run time

onnxscript\converter.py:460: in _eval_constant_expr
    return eval(cpl, self.globals, locals)  # pylint: disable=eval-used
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
E   NameError: name 'nan' is not defined

The above exception was the direct cause of the following exception:
.nox\test_ort_nightly\Lib\site-packages\parameterized\parameterized.py:620: in standalone_func
    return func(*(a + p.args), **p.kwargs, **kw)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\backend\onnx_export_test.py:271: in test_export2python_produces_correct_onnx_script_model
    functions = extract_functions(backend_test.name, code, self.test_folder)
                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\backend\onnx_export_test.py:137: in extract_functions
    mod = importlib.import_module(import_name)
          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
C:\hostedtoolcache\windows\Python\3.11.9\x64\Lib\importlib\__init__.py:126: in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
<frozen importlib._bootstrap>:1204: in _gcd_import
    ???
<frozen importlib._bootstrap>:1176: in _find_and_load
    ???
<frozen importlib._bootstrap>:1147: in _find_and_load_unlocked
    ???
<frozen importlib._bootstrap>:690: in _load_unlocked
    ???
.nox\test_ort_nightly\Lib\site-packages\_pytest\assertion\rewrite.py:186: in exec_module
    exec(co, module.__dict__)
tests\onnx_backend_test_code\test_ai_onnx_ml_tree_ensemble_set_membership.py:9: in <module>
    @script()
     ^^^^^^^^
onnxscript\main.py:94: in transform
    result = script_check(f_ast, opset, env, src, default_opset=default_opset)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\main.py:38: in script_check
    return convert.translate_function_def(f)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\converter.py:1452: in translate_function_def
    fn_ir = self._translate_function_def_common(stmt)
            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\converter.py:1439: in _translate_function_def_common
    self._translate_stmt(s, index_of_stmt=i)
onnxscript\converter.py:961: in _translate_stmt
    return self._translate_assign_stmt(node)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\converter.py:1048: in _translate_assign_stmt
    assign(lhs, rhs)
onnxscript\converter.py:992: in assign
    t = self._translate_expr(rhs, lhs).name
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\converter.py:546: in _translate_expr
    r = self._translate_call_expr(node)
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\converter.py:825: in _translate_call_expr
    attrs = [
onnxscript\converter.py:826: in <listcomp>
    self._translate_attr(x, y, callee.op_schema.attributes[x])
onnxscript\converter.py:510: in _translate_attr
    val = self._eval_constant_expr(expr)
          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript\converter.py:462: in _eval_constant_expr
    raise NameError(
E   NameError: ERROR: Missing names, globals contains ['__name__', '__doc__', '__package__', '__loader__', '__spec__', '__file__', '__cached__', '__builtins__', '@py_builtins', '@pytest_ar', 'numpy', 'TensorProto', 'make_tensor', 'script', 'external_tensor', 'Opset', 'FLOAT', 'ai_onnx_ml5'], locals [].
E   at: Function 'bck_test_ai_onnx_ml_tree_ensemble_set_membership', line 3
E       Y = ai_onnx_ml5.TreeEnsemble(X, aggregate_function=1, leaf_targetids=[0, 1, 2, 3], leaf_weights=make_tensor("value", 1, dims=[4], vals=[1.0, 10.0, 1000.0, 100.0]), membership_values=make_tensor("value", 1, dims=[8], vals=[1.2000000476837158, 3.700000047683716, 8.0, 9.0, nan, 12.0, 7.0, nan]), n_targets=4, nodes_falseleafs=[1, 0, 1], nodes_falsenodeids=[2, 2, 3], nodes_featureids=[0, 0, 0], nodes_modes=make_tensor("value", 2, dims=[3], vals=[0, 6, 6]), nodes_splits=make_tensor("value", 1, dims=[3], vals=[11.0, 232344.0, nan]), nodes_trueleafs=[0, 1, 1], nodes_truenodeids=[1, 0, 1], post_transform=0, tree_roots=[0])
E                                                                                                                                                                                             ^

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github-advanced-security

lintrunner found more than 20 potential problems in the proposed changes. Check the Files changed tab for more details.

docs/tutorial/rewriter/examples/domain_option.py

docs/tutorial/rewriter/examples/outputs_option.py

Co-authored-by: gramalingam <[email protected]>

…ption example Co-authored-by: gramalingam <[email protected]>

docs/tutorial/rewriter/examples/domain_option.py

Co-authored-by: gramalingam <[email protected]>

gramalingam · 2025-06-20T21:33:45Z

The Lint / Enforce style CI is failing due to some white space issues. Can you fix them?

Co-authored-by: gramalingam <[email protected]>

Copilot · 2025-06-20T21:42:57Z

The Lint / Enforce style CI is failing due to some white space issues. Can you fix them?

Fixed the whitespace issues by removing trailing whitespace and adding final newlines to all affected files. Commit 12f0fea.

docs/tutorial/rewriter/examples/outputs_option.py

+@script()
+def original_model(A: FLOAT[4, 4]) -> FLOAT[2, 4]:
+    # Split operation that produces 2 outputs
+    result1, result2 = opset18.Split(A, num_outputs=2, axis=0)


docs/tutorial/rewriter/examples/outputs_option.py

+@script()
+def original_model(A: FLOAT[4, 4]) -> FLOAT[2, 4]:
+    # Split operation that produces 2 outputs
+    result1, result2 = opset18.Split(A, num_outputs=2, axis=0)


justinchuby · 2025-06-20T23:47:44Z

Please run lintrunner -a --all-files and fix issues.

Co-authored-by: justinchuby <[email protected]>

Copilot · 2025-06-20T23:52:11Z

Please run lintrunner -a --all-files and fix issues.

Fixed the linting issues by running lintrunner -a --all-files. The tool automatically corrected code formatting issues including line length and spacing. Commit 2a6889e.

Initial plan for issue

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Add documentation for rewriter pattern options

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Copilot AI changed the title ~~[WIP] [docs] Document rewriter options~~ [docs] Document rewriter pattern options Jun 19, 2025

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Fix domain_option.py example to use model with custom domain operations

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Use onnxscript.script with custom Opset in domain_option.py example

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New Documentation Added

_allow_other_inputs option

_domain option

_outputs option

Enhanced _allow_other_attributes documentation

Documentation Structure Improvements

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`_allow_other_inputs` option

`_domain` option

`_outputs` option

Enhanced `_allow_other_attributes` documentation

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