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[Rewriter]: fuse successive Relu/Clip nodes #2410

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This PR adds the following transformation:

  • Relu(Relu(X)) -> Relu
  • Relu(Clip(X)) -> Clip
  • Clip(Relu(X)) -> Clip
  • Clip(Clip(X)) -> Clip

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codecov bot commented Jun 22, 2025

❌ 13 Tests Failed:

Tests completed Failed Passed Skipped
1450 13 1437 453
View the top 2 failed test(s) by shortest run time
onnxscript.backend.onnx_export_test.TestOnnxBackEnd::test_export2python_produces_correct_onnx_script_model_0245_test_clip_example
Stack Traces | 0.003s run time
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)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
E   ModuleNotFoundError: No module named 'tests.onnx_backend_test_code.test_clip_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_clip_example' (e=No module named 'tests.onnx_backend_test_code.test_clip_example') (file: 'D:\\a\\onnxscript\\onnxscript\\tests\\onnx_backend_test_code\\test_clip_example.py', absolute path: 'D:\\a\\onnxscript\\onnxscript\\tests\\onnx_backend_test_code\\test_clip_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_clip_example(x: FLOAT[3], min: FLOAT, max: FLOAT) -> (FLOAT[3]):
E       y = opset13.Clip(x, min, max)
E       return y
onnxscript.backend.onnx_export_test.TestOnnxBackEnd::test_export2python_produces_correct_onnx_script_model_1126_test_slice_end_out_of_bounds
Stack Traces | 0.003s run time
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)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
E   ModuleNotFoundError: No module named 'tests.onnx_backend_test_code.test_slice_end_out_of_bounds'

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_slice_end_out_of_bounds' (e=No module named 'tests.onnx_backend_test_code.test_slice_end_out_of_bounds') (file: 'D:\\a\\onnxscript\\onnxscript\\tests\\onnx_backend_test_code\\test_slice_end_out_of_bounds.py', absolute path: 'D:\\a\\onnxscript\\onnxscript\\tests\\onnx_backend_test_code\\test_slice_end_out_of_bounds.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, INT64
E   from onnxscript.onnx_opset import opset13
E   
E   @script()
E   def bck_test_slice_end_out_of_bounds(x: FLOAT[20,10,5], starts: INT64[1], ends: INT64[1], axes: INT64[1], steps: INT64[1]) -> (FLOAT[20,9,5]):
E       y = opset13.Slice(x, starts, ends, axes, steps)
E       return y
View the full list of 1 ❄️ flaky tests
onnxscript.backend.onnx_export_test.TestOnnxBackEnd::test_export2python_produces_correct_onnx_script_model_1134_test_softmax_axis_1

Flake rate in main: 8.70% (Passed 21 times, Failed 2 times)

Stack Traces | 0.003s run time
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)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
E   ModuleNotFoundError: No module named 'tests.onnx_backend_test_code.test_softmax_axis_1'

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_axis_1' (e=No module named 'tests.onnx_backend_test_code.test_softmax_axis_1') (file: 'D:\\a\\onnxscript\\onnxscript\\tests\\onnx_backend_test_code\\test_softmax_axis_1.py', absolute path: 'D:\\a\\onnxscript\\onnxscript\\tests\\onnx_backend_test_code\\test_softmax_axis_1.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_axis_1(x: FLOAT[3,4,5]) -> (FLOAT[3,4,5]):
E       y = opset13.Softmax(x, axis=1)
E       return y

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@justinchuby justinchuby requested a review from Copilot June 22, 2025 15:17
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Pull Request Overview

This PR adds graph rewrite rules to fuse consecutive Relu and Clip operations, updates the test harness to control ONNX Runtime’s optimization level, and provides unit tests to validate the new transformations.

  • Introduce four fusion rules (Relu(Relu), Relu(Clip), Clip(Relu), Clip(Clip)) in fuse_relus_clips.py
  • Extend assert_numerically_equal in testing.py to accept an ort_optimization_level argument
  • Add comprehensive tests in fuse_relus_clips_test.py to cover valid and invalid fusion scenarios

Reviewed Changes

Copilot reviewed 3 out of 3 changed files in this pull request and generated no comments.

File Description
onnxscript/rewriter/fuse_relus_clips.py Implement new RewriteRule classes and assemble them into a set.
onnxscript/rewriter/testing.py Update test helper to pass through ONNX Runtime optimization level.
onnxscript/rewriter/fuse_relus_clips_test.py Add unit tests for each fusion pattern and edge‐case validations.
Comments suppressed due to low confidence (2)

onnxscript/rewriter/fuse_relus_clips.py:161

  • The variable name fuse_sucessive_relu_clip_rule has a typo (sucessive vs. successive). Rename it to fuse_successive_relu_clip_rule for consistency with the other rules, and update any references.
fuse_sucessive_relu_clip_rule = FuseSuccessiveReluClip().rule()

onnxscript/rewriter/testing.py:27

  • [nitpick] The Args: section in the docstring does not match the parameter order of the function signature. Consider reordering the entries so they follow (original_model_proto, rewritten_model_proto, args, ort_optimization_level, rtol, atol).
        ort_optimization_level: Onnxruntime optimization level.

expected_op_type: str,
dtype: str = "float",
):
base_model = ir.serde.deserialize_model(base_model)
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Suggested change
base_model = ir.serde.deserialize_model(base_model)


def run_test(
self,
base_model: onnx.ModelProto | ir.Model,
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Suggested change
base_model: onnx.ModelProto | ir.Model,
base_model: ir.Model,

Comment on lines 89 to 98
model_proto = onnx.parser.parse_model("""
< ir_version: 10, opset_import: ["" : 20] >
test_model (float[N, 32, 14] X) => (float [N, ?, ?] Y)
{
x1 = Relu(X)
x2 = Relu(x1)
Y = Relu(x2)
}
""")
self.run_test(model_proto, expected_op_type="Relu")
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Suggested change
model_proto = onnx.parser.parse_model("""
< ir_version: 10, opset_import: ["" : 20] >
test_model (float[N, 32, 14] X) => (float [N, ?, ?] Y)
{
x1 = Relu(X)
x2 = Relu(x1)
Y = Relu(x2)
}
""")
self.run_test(model_proto, expected_op_type="Relu")
model = ir.from_onnx_text("""
< ir_version: 10, opset_import: ["" : 20] >
test_model (float[N, 32, 14] X) => (float [N, ?, ?] Y)
{
x1 = Relu(X)
x2 = Relu(x1)
Y = Relu(x2)
}
""")
self.run_test(model, expected_op_type="Relu")

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Here and below, thanks!

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Thank you - I think this can be part of the default rewrite rules

cc @gramalingam

AyoubMDL added 3 commits June 24, 2025 01:41
- Relu(Relu(X)) -> Relu
- Relu(Clip(X)) -> Clip
- Clip(Relu(X)) -> Clip
- Clip(Clip(X)) -> Clip
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