build(deps): update onnxscript requirement from <0.4.0,>=0.2.2 to >=0.2.2,<0.5.0 in /requirements

[dependabot]

Updates the requirements on onnxscript to permit the latest version.

Release notes

Sourced from onnxscript's releases.

v0.4.0

What's Changed

Breaking Changes

• Remove torchscript graph builder by @​justinchuby in microsoft/onnxscript#2444

New Features

• [torch api] Create torch API for PyTorch 2.9 by @​justinchuby in microsoft/onnxscript#2503

Optimizer and rewriter

• Expose match functionality of rewrite-rule by extracting base classes by @​Copilot in microsoft/onnxscript#2447
• Implement MatchContext class for rewriter pattern matching by @​Copilot in microsoft/onnxscript#2455
• [Rewriter] Implement value/node level checkers for pattern matching infrastructure by @​Copilot in microsoft/onnxscript#2459
• fix: handling of default attrs in SimplifiedLayerNormalization + LayerNormalization🐛 by @​KarelZe in microsoft/onnxscript#2396
• Add initial support for RotaryEmbedding fusion for onnx opset 23 by @​gramalingam in microsoft/onnxscript#2450
• Attention mask for GQA fusion by @​gramalingam in microsoft/onnxscript#2452
• Handle matching against None explicitly by @​gramalingam in microsoft/onnxscript#2460
• [docs] Document rewriter pattern options by @​Copilot in microsoft/onnxscript#2406
• Rename fusion files by @​gramalingam in microsoft/onnxscript#2476
• [Rewriter] Add optimizer to fold Pad operators into Conv by @​Johansmm in microsoft/onnxscript#2363
• MHA fusion cleanup by @​gramalingam in microsoft/onnxscript#2481
• Remove double transpose flag in MHA fusion by @​gramalingam in microsoft/onnxscript#2483
• Add reproduction test case for incorrect slice rewrite and add potential fix by @​sebimarkgraf in microsoft/onnxscript#2478
• [ort_fusuion] Support fp16 in rms_norm fusion by @​titaiwangms in microsoft/onnxscript#2491
• Introduce layer-norm fusion by @​gramalingam in microsoft/onnxscript#2492
• Correctly create empty ints for Constant in rewriter by @​justinchuby in microsoft/onnxscript#2497
• Add Erf-based Gelu fusion rule by @​gramalingam in microsoft/onnxscript#2495
• Extend rewriter to handle subgraphs by @​gramalingam in microsoft/onnxscript#2494
• Minor fix for getting function's graph by @​gramalingam in microsoft/onnxscript#2504
• Fixes for when attr type can be ambiguous for empty lists by @​justinchuby in microsoft/onnxscript#2505

Torch Lib

• [torchlib] Improve aten_chunk conversion by @​justinchuby in microsoft/onnxscript#2469
• Make onnx export SDPA match aten behavior by @​IlyasMoutawwakil in microsoft/onnxscript#2479
• Add condition to dropout and ref to isnan by @​titaiwangms in microsoft/onnxscript#2482
• Support aten::scatter.src by @​titaiwangms in microsoft/onnxscript#2490

Other Changes

• Update VERSION to 0.4.0 by @​justinchuby in microsoft/onnxscript#2449
• Remove legacy_ir usage in testutil by @​justinchuby in microsoft/onnxscript#2451
• Remove legacy ir by @​justinchuby in microsoft/onnxscript#2456
• Remove DORT related tests since it was removed from PyTorch by @​justinchuby in microsoft/onnxscript#2465
• Update requirements-ort-nightly.txt by @​justinchuby in microsoft/onnxscript#2471
• Fix logic for converting np array to text by @​justinchuby in microsoft/onnxscript#2470
• Add a test for boolean attention mask within SDPA by @​titaiwangms in microsoft/onnxscript#2480
• chore(deps): bump actions/checkout from 4 to 5 by @​dependabot[bot] in microsoft/onnxscript#2484
• Use onnx-ir 0.1.7 by @​justinchuby in microsoft/onnxscript#2509
• Minor fixes to onnx to onnxscript converter by @​gramalingam in microsoft/onnxscript#2510

New Contributors

• @​IlyasMoutawwakil made their first contribution in microsoft/onnxscript#2479
• @​sebimarkgraf made their first contribution in microsoft/onnxscript#2478

... (truncated)

Commits

• f5b58e0 Minor fixes to onnx to onnxscript converter (#2510)
• fce51b6 Fixes for when attr type can be ambiguous for empty lists (#2505)
• 2838e37 Minor fix for getting function's graph (#2504)
• dc55201 Use onnx-ir 0.1.7 (#2509)
• e8005e9 [torch api] Support down conversion of opsets (#2503)
• ae4c668 Extend rewriter to handle subgraphs (#2494)
• 3af04e9 Add Erf-based Gelu fusion rule (#2495)
• fe152d4 Correctly create empty ints for Constant in rewriter (#2497)
• 73d6134 Introduce layer-norm fusion (#2492)
• fde4802 Support aten::scatter.src (#2490)
• Additional commits viewable in compare view

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📚 Documentation preview 📚: https://pytorch-lightning--21113.org.readthedocs.build/en/21113/