chore(deps): bump onnx-weekly from 1.22.0.dev20260421 to 1.23.0.dev20260831 in /requirements/ci by dependabot[bot] · Pull Request #3029 · microsoft/onnxscript

dependabot · 2026-09-03T22:23:08Z

Bumps onnx-weekly from 1.22.0.dev20260421 to 1.23.0.dev20260831.

Release notes

v1.22.0

ONNX v1.22.0 is now available with exciting new features! We would like to thank everyone who contributed to this release! Please visit onnx.ai to learn more about ONNX and associated projects.

What's Changed

Breaking Changes and Deprecations

Swap qk_matmul_output_mode 1 & 2 to match computation order by @titaiwangms in onnx/onnx#7913

Spec and Operator

Two new operators LinearAttention-27 and CausalConvWithState-27 were introduced.

Fix number of pad modes in doc_strings.cc by @assafpr in onnx/onnx#7803

Add FlexAttention Op to ai.onnx.preview opset by @mshr-h in onnx/onnx#7534

Fix Attention op softcap ordering: apply before mask/bias by @titaiwangms in onnx/onnx#7867

Add LinearAttention and CausalConvWithState operators (Opset 27) by @tadani3 in onnx/onnx#7950

feat(generator): extend Range operator with float16 and bfloat16 support (opset 27) by @andife in onnx/onnx#7923

Reference Implementation

Fix missing 'mul' reduction in ScatterElements reference implementation by @zdryan in onnx/onnx#7842

Fix QLinearMatMul output saturation by @karimbaidar in onnx/onnx#7868

Fixed more bugs in the Scan reference op by @tadani3 in onnx/onnx#7964

Utilities and Tools

Fix Slice shape inference crashes with SIGABRT on empty dimensions by @titaiwangms in onnx/onnx#7738

Rename misleading input_rank param to input_dim_value in processSlice… by @titaiwangms in onnx/onnx#7739

fix: Conv/Pool strides validation by @edgchen1 in onnx/onnx#7764

fix: add input/output bounds checks in version converter adapter by @andife in onnx/onnx#7813

Harden version conversion against malformed inputs by @andife in onnx/onnx#7872

fix: add input rank checks in Gemm version converter adapters by @andife in onnx/onnx#7880

Fix raw_data handling in version converter adapters by @cyyever in onnx/onnx#7910

Fix checker to use len() instead of sys.getsizeof() for protobuf size check by @OmarAzizi in onnx/onnx#7760

Add version macros by @cbourjau in onnx/onnx#7918

Remove internal spec_to_yaml tool by @cbourjau in onnx/onnx#7985

Address shape inference shortcomings by @yuslepukhin in onnx/onnx#7997

Add unifyInputShape / unifyInputShapePrefix shape inference utilities by @gramalingam in onnx/onnx#7999

Add operator+ and operator- for Dim by @gramalingam in onnx/onnx#8000

Fix KeepAspectRatioHelper precision for scaled output dimensions by @elwhyjay in onnx/onnx#8007

Fix heap buffer over-read in Conv/Pool shape inference for weight rank mismatch by @Copilot in onnx/onnx#8037

Build, CI and Tests

Add update into main.yml by @titaiwangms in onnx/onnx#7687

Update check_urls.yml by @andife in onnx/onnx#7716

Update add_msvc_runtime_flag to work with MSVC_RUNTIME_LIBRARY by @Shadows-of-Fire in onnx/onnx#7660

Try to fix renovate by @andife in onnx/onnx#7742

fix upload; Update release_win.yml by @andife in onnx/onnx#7728

Allow release CIs to run when a labeled PR receives new commits by @Copilot in onnx/onnx#7741

Update pixi.{toml,lock} by @cbourjau in onnx/onnx#7746

hash for googletest by @andife in onnx/onnx#7765

Update RELEASE-MANAGEMENT.md by @andife in onnx/onnx#7773

Update doc CIPipeline by @andife in onnx/onnx#7782

use reviewdog to fix the pr_checks workflow by @andife in onnx/onnx#7780

Update copilot-setup-steps.yml; persist-credentials: false by @andife in onnx/onnx#7768

Update release_linux.yml; replace tag by hash by @andife in onnx/onnx#7769

... (truncated)

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Bumps [onnx-weekly](https://github.com/onnx/onnx) from 1.22.0.dev20260421 to 1.23.0.dev20260831. - [Release notes](https://github.com/onnx/onnx/releases) - [Changelog](https://github.com/onnx/onnx/blob/main/docs/Changelog-ml.md) - [Commits](https://github.com/onnx/onnx/commits) --- updated-dependencies: - dependency-name: onnx-weekly dependency-version: 1.23.0.dev20260831 dependency-type: direct:production update-type: version-update:semver-minor ... Signed-off-by: dependabot[bot] <support@github.com>

Justin Chu (justinchuby) · 2026-09-04T15:23:34Z

Copilot onnx removed the backend test onnx files

onnxscript/backend/onnx_backend_test.py::TestOnnxBackEnd::test_enumerate_onnx_tests_run_one - FileNotFoundError: Unable to find series of tests in '/Users/runner/work/onnxscript/onnxscript/.nox/test_onnx_weekly/lib/python3.11/site-packages/onnx/backend/test', subfolders:

Can you use the new way to generate the onnx files from the backend test infra in onnx?

Co-authored-by: justinchuby <11205048+justinchuby@users.noreply.github.com>

Copilot · 2026-09-04T15:30:53Z

Copilot onnx removed the backend test onnx files

onnxscript/backend/onnx_backend_test.py::TestOnnxBackEnd::test_enumerate_onnx_tests_run_one - FileNotFoundError: Unable to find series of tests in ...

Addressed in 264c41b by falling back to ONNX’s generated backend node TestCase loader when the old data/node files are absent. Validated with lintrunner -a and focused backend/export tests against onnx-weekly==1.23.0.dev20260831.

codecov · 2026-09-04T17:15:04Z

❌ 4 Tests Failed:

Tests completed	Failed	Passed	Skipped
9816	4	9812	1848

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

onnxscript.backend.onnx_export_test.TestOnnxBackEnd::test_export2python_produces_correct_onnx_script_model_1211_test_optional_has_element_tensor_input

Stack Traces | 0.003s run time

..../test_onnx_weekly/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:260: in test_export2python_produces_correct_onnx_script_model
    code = onnx_export.export2python(
onnxscript/backend/onnx_export.py:919: in export2python
    return exporter.export(model_onnx, function_name)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript/backend/onnx_export.py:821: in export
    add(self._import_onnx_types(proto))
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript/backend/onnx_export.py:798: in _import_onnx_types
    ts = _translate_type(t.type)
         ^^^^^^^^^^^^^^^^^^^^^^^
onnxscript/backend/onnx_export.py:124: in _translate_type
    return onnxscript.onnx_types.onnx_type_to_onnxscript_repr(onnx_type, reversible=False)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript/onnx_types.py:269: in onnx_type_to_onnxscript_repr
    raise NotImplementedError(f"Unable to translate type {onnx_type!r} into onnxscript type.")
E   NotImplementedError: Unable to translate type optional_type {
E     elem_type {
E       tensor_type {
E         elem_type: 1
E         shape {
E           dim {
E             dim_value: 4
E           }
E         }
E       }
E     }
E   }
E    into onnxscript type.

onnxscript.backend.onnx_export_test.TestOnnxBackEnd::test_export2python_produces_correct_onnx_script_model_1215_test_optional_has_element_empty_optional_input

Stack Traces | 0.004s run time

..../test_onnx_weekly/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:260: in test_export2python_produces_correct_onnx_script_model
    code = onnx_export.export2python(
onnxscript/backend/onnx_export.py:919: in export2python
    return exporter.export(model_onnx, function_name)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript/backend/onnx_export.py:821: in export
    add(self._import_onnx_types(proto))
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript/backend/onnx_export.py:798: in _import_onnx_types
    ts = _translate_type(t.type)
         ^^^^^^^^^^^^^^^^^^^^^^^
onnxscript/backend/onnx_export.py:124: in _translate_type
    return onnxscript.onnx_types.onnx_type_to_onnxscript_repr(onnx_type, reversible=False)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript/onnx_types.py:269: in onnx_type_to_onnxscript_repr
    raise NotImplementedError(f"Unable to translate type {onnx_type!r} into onnxscript type.")
E   NotImplementedError: Unable to translate type optional_type {
E     elem_type {
E       tensor_type {
E         elem_type: 6
E         shape {
E         }
E       }
E     }
E   }
E    into onnxscript type.

onnxscript.backend.onnx_export_test.TestOnnxBackEnd::test_export2python_produces_correct_onnx_script_model_1212_test_optional_has_element_optional_input

Stack Traces | 0.005s run time

..../test_onnx_weekly/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:260: in test_export2python_produces_correct_onnx_script_model
    code = onnx_export.export2python(
onnxscript/backend/onnx_export.py:919: in export2python
    return exporter.export(model_onnx, function_name)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript/backend/onnx_export.py:821: in export
    add(self._import_onnx_types(proto))
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript/backend/onnx_export.py:798: in _import_onnx_types
    ts = _translate_type(t.type)
         ^^^^^^^^^^^^^^^^^^^^^^^
onnxscript/backend/onnx_export.py:124: in _translate_type
    return onnxscript.onnx_types.onnx_type_to_onnxscript_repr(onnx_type, reversible=False)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript/onnx_types.py:269: in onnx_type_to_onnxscript_repr
    raise NotImplementedError(f"Unable to translate type {onnx_type!r} into onnxscript type.")
E   NotImplementedError: Unable to translate type optional_type {
E     elem_type {
E       tensor_type {
E         elem_type: 1
E         shape {
E           dim {
E             dim_value: 4
E           }
E         }
E       }
E     }
E   }
E    into onnxscript type.

onnxscript.backend.onnx_export_test.TestOnnxBackEnd::test_export2python_produces_correct_onnx_script_model_1207_test_optional_get_element_optional_tensor

Stack Traces | 0.006s run time

..../test_onnx_weekly/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:260: in test_export2python_produces_correct_onnx_script_model
    code = onnx_export.export2python(
onnxscript/backend/onnx_export.py:919: in export2python
    return exporter.export(model_onnx, function_name)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript/backend/onnx_export.py:821: in export
    add(self._import_onnx_types(proto))
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript/backend/onnx_export.py:798: in _import_onnx_types
    ts = _translate_type(t.type)
         ^^^^^^^^^^^^^^^^^^^^^^^
onnxscript/backend/onnx_export.py:124: in _translate_type
    return onnxscript.onnx_types.onnx_type_to_onnxscript_repr(onnx_type, reversible=False)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
onnxscript/onnx_types.py:269: in onnx_type_to_onnxscript_repr
    raise NotImplementedError(f"Unable to translate type {onnx_type!r} into onnxscript type.")
E   NotImplementedError: Unable to translate type optional_type {
E     elem_type {
E       tensor_type {
E         elem_type: 1
E         shape {
E           dim {
E             dim_value: 4
E           }
E         }
E       }
E     }
E   }
E    into onnxscript type.

tests.function_libs.torch_lib.ops_test.TestOutputConsistencyFullGraphCPU::test_output_match_opinfo__addbmm_cpu_float32

Stack Traces | 0.406s run time

tests\function_libs\torch_lib\ops_test.py:243: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not close!
E   
E   Mismatched elements: 50 / 50 (100.0%)
E   Greatest absolute difference: nan at index (0, 0) (up to 2e-05 allowed)
E   Greatest relative difference: nan at index (0, 0) (up to 2e-05 allowed)

tests.function_libs.torch_lib.ops_test.TestOutputConsistencyFullGraphCPU::test_output_match_opinfo__addbmm_cpu_float16

Stack Traces | 0.416s run time

tests\function_libs\torch_lib\ops_test.py:243: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not close!
E   
E   Mismatched elements: 50 / 50 (100.0%)
E   Greatest absolute difference: nan at index (0, 0) (up to 0.02 allowed)
E   Greatest relative difference: nan at index (0, 0) (up to 0.2 allowed)

View the full list of 5 ❄️ flaky test(s)

tests.function_libs.torch_lib.ops_test.TestOutputConsistencyFullGraphCPU::test_output_match_opinfo__baddbmm_cpu_float16

Flake rate in main: 14.18% (Passed 224 times, Failed 37 times)

Stack Traces | 0.395s run time

tests\function_libs\torch_lib\ops_test.py:243: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not close!
E   
E   Mismatched elements: 250 / 250 (100.0%)
E   Greatest absolute difference: nan at index (0, 0, 0) (up to 0.01 allowed)
E   Greatest relative difference: nan at index (0, 0, 0) (up to 0.001 allowed)

tests.function_libs.torch_lib.ops_test.TestOutputConsistencyFullGraphCPU::test_output_match_opinfo__baddbmm_cpu_float32

Flake rate in main: 14.53% (Passed 594 times, Failed 101 times)

Stack Traces | 0.423s run time

tests\function_libs\torch_lib\ops_test.py:243: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not close!
E   
E   Mismatched elements: 250 / 250 (100.0%)
E   Greatest absolute difference: nan at index (0, 0, 0) (up to 1e-05 allowed)
E   Greatest relative difference: nan at index (0, 0, 0) (up to 1.3e-06 allowed)

tests.function_libs.torch_lib.ops_test.TestOutputConsistencyFullGraphCPU::test_output_match_opinfo__logit_cpu_float16

Flake rate in main: 14.44% (Passed 1606 times, Failed 271 times)

Stack Traces | 0.384s run time

tests\function_libs\torch_lib\ops_test.py:243: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not close!
E   
E   Mismatched elements: 83 / 125 (66.4%)
E   Greatest absolute difference: 0.8115234375 at index (0, 0, 0) (up to 0.0007 allowed)
E   Greatest relative difference: 1.9990234375 at index (0, 0, 0) (up to 0.1 allowed)

tests.function_libs.torch_lib.ops_test.TestOutputConsistencyFullGraphCPU::test_output_match_opinfo__logit_cpu_float32

Flake rate in main: 14.44% (Passed 1606 times, Failed 271 times)

Stack Traces | 0.399s run time

tests\function_libs\torch_lib\ops_test.py:243: in run_test_output_match
    torch.testing.assert_close(
E   AssertionError: Tensor-likes are not close!
E   
E   Mismatched elements: 81 / 125 (64.8%)
E   Greatest absolute difference: 0.8109303712844849 at index (0, 0, 0) (up to 1e-05 allowed)
E   Greatest relative difference: 2.0 at index (0, 0, 0) (up to 1.3e-06 allowed)

tests.function_libs.torch_lib.ops_test.TestOutputConsistencyFullGraphCPU::test_output_match_opinfo__ops_aten__grouped_mm_cpu_float32

Flake rate in main: 100.00% (Passed 0 times, Failed 92 times)

Stack Traces | 1.46s run time

tests\function_libs\torch_lib\ops_test.py:187: in run_test_output_match
    torch_output = op(*inputs, **cpu_sample.kwargs)
                   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.nox\test_torch_nightly\Lib\site-packages\torch\testing\_internal\opinfo\core.py:1263: in __call__
    return self.op(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^
.nox\test_torch_nightly\Lib\site-packages\torch\_ops.py:1350: in __call__
    return self._op(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^
E   RuntimeError: strides should be multiple of 16 bytes

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Co-authored-by: justinchuby <11205048+justinchuby@users.noreply.github.com>

Justin Chu (justinchuby) · 2026-09-04T17:18:12Z

Copilot Change all of from onnxscript import ir into import onnx_ir as ir

Co-authored-by: justinchuby <11205048+justinchuby@users.noreply.github.com>

Copilot · 2026-09-04T17:22:51Z

Copilot Change all of from onnxscript import ir into import onnx_ir as ir

Addressed in e5b3847 by replacing all ir imports from onnxscript with import onnx_ir as ir. Validated with lintrunner -a, focused backend/export tests, secret scanning, and CodeQL.

dependabot Bot added dependencies Pull requests that update a dependency file python Pull requests that update Python code labels Sep 3, 2026

github-project-automation Bot added this to ONNX Script Review Board Sep 3, 2026

github-project-automation Bot moved this to Todo in ONNX Script Review Board Sep 3, 2026

dependabot Bot mentioned this pull request Sep 3, 2026

chore(deps): bump onnx-weekly from 1.22.0.dev20260421 to 1.23.0.dev20260824 in /requirements/ci #3016

Closed

Justin Chu (justinchuby) approved these changes Sep 4, 2026

View reviewed changes

github-project-automation Bot moved this from Todo to Done in ONNX Script Review Board Sep 4, 2026

Copilot started work on behalf of Justin Chu (justinchuby) September 4, 2026 15:23 View session

Support generated ONNX backend node tests

264c41b

Co-authored-by: justinchuby <11205048+justinchuby@users.noreply.github.com>

Copilot finished work on behalf of Justin Chu (justinchuby) September 4, 2026 15:31

Copilot AI requested a review from Justin Chu (justinchuby) September 4, 2026 15:31

Justin Chu (justinchuby) reviewed Sep 4, 2026

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Comment thread onnxscript/backend/onnx_backend.py Outdated

Copilot started work on behalf of Justin Chu (justinchuby) September 4, 2026 17:13 View session

Use ir tensor normalization for backend tests

66bceb3

Co-authored-by: justinchuby <11205048+justinchuby@users.noreply.github.com>

Justin Chu (justinchuby) requested a review from Ti-Tai Wang (titaiwangms) September 4, 2026 17:17

Copilot finished work on behalf of Justin Chu (justinchuby) September 4, 2026 17:17

Copilot AI requested a review from Justin Chu (justinchuby) September 4, 2026 17:17

Copilot started work on behalf of Justin Chu (justinchuby) September 4, 2026 17:18 View session

Import ir directly from onnx_ir

e5b3847

Co-authored-by: justinchuby <11205048+justinchuby@users.noreply.github.com>

Copilot finished work on behalf of Justin Chu (justinchuby) September 4, 2026 17:23

Justin Chu (justinchuby) approved these changes Sep 4, 2026

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chore(deps): bump onnx-weekly from 1.22.0.dev20260421 to 1.23.0.dev20260831 in /requirements/ci - #3029

chore(deps): bump onnx-weekly from 1.22.0.dev20260421 to 1.23.0.dev20260831 in /requirements/ci#3029
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v1.22.0

What's Changed

Breaking Changes and Deprecations

Spec and Operator

Reference Implementation

Utilities and Tools

Build, CI and Tests

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