v0.2.6

What's Changed

Breaking Changes

• Remove the RefAttr class by @justinchuby in #2328
• [IR] Normalize "ai.onnx" domain to "" by @justinchuby in #2283

Optimizer and rewriter

• Add BiasGelu, Erfgelu and SkipLayerNormalization fusions by @shubhambhokare1 in #2222
• Allow sdpa fusion to accept custom scale factor by @shubhambhokare1 in #2210
• Add support for a non-backtracking version of pattern disjunction by @gramalingam in #2242
• Rewrite Skip fusions with check functions by @shubhambhokare1 in #2259
• Add support for backtracking in pattern matcher by @gramalingam in #2273
• Add fusion rules (Whisper optimizations) by @shubhambhokare1 in #2221
• Use OrPatterns to support SkipLayerNormalization rewrite variations by @shubhambhokare1 in #2277
• Unify rule implementations with classes by @justinchuby in #2288

ONNX IR

• [IR] Handle invalid output deserialization by @justinchuby in #2223
• [IR] Improve documentation 1/n by @justinchuby in #2227
• Improve ir.node annotations to accept None inputs by @justinchuby in #2224
• Update type annotations for passes by @justinchuby in #2230
• Add LazyTensor class to implement ir.TensorProtocol by @justinchuby in #2232
• [IR] Support specifying output value in Tape by @justinchuby in #2225
• [IR] Allow to copy an unfrozen version of the Shape by @justinchuby in #2238
• [IR] Use shape.freeze() by @justinchuby in #2247
• [IR] Fix sequence handling in tensor function by @justinchuby in #2252
• [IR] Introduce short name for dtypes by @justinchuby in #2249
• [IR] Display constant tensors for Value by @justinchuby in #2248
• [IR] Refactor TensorBase to simplify implementation by @justinchuby in #2081
• [pass] Update DCE passes by @justinchuby in #2257
• Create short tensor str for nodes by @justinchuby in #2262
• [Pass] Support lifting subgraph initializers to main graph by @titaiwangms in #2266
• Add add/remove initializers passes by @justinchuby in #2253
• [IR] Export all common passes in onnxscript.ir.passes.common by @justinchuby in #2270
• [IR] Record owning graph for input/output/initializers by @justinchuby in #2282
• Add from_onnx_text function to convert ONNX text to IR model by @justinchuby in #2291
• [IR] Docs for Node by @justinchuby in #2297
• [IR] introduce slice support on graph by @Johansmm in #2307

Torch Lib

• [torchlib] Fix scatter reduce on error cases by @justinchuby in #2287

Documentation

• Improvement to IR docs 2/n by @justinchuby in #2229

Other Changes

• Generate opset23 with opgen by @justinchuby in #2226
• Update proto comparison error message by @justinchuby in #2215
• Refactor test models for ort_fusions by @shubhambhokare1 in #2237
• Use ir methods to replace onnx helper by @justinchuby in #2091
• Export version_converter and support model proto by @justinchuby in #2251
• Fix attribute handling in autocast by @justinchuby in #2256
• Update optimize_for_ort call to allow debug and shape_inference modes by @shubhambhokare1 in #2236
• Temporarily skip the whisper test in skip layernorm fusion by @justinchuby in #2286
• Returning choice values in patterns by @gramalingam in #2284
• Fix docs builder pipeline by @justinchuby in #2293
• Split pattern.py by @gramalingam in #2296
• Fix rename within comments by @gramalingam in #2305
• Create publish-dev.yml for ESRP release by @justinchuby in #2101
• Update CONTRIBUTING.md to remove the note about production by @justinchuby in #2308
• Fix RewriterContext import error by @gramalingam in #2314
• Update publish-dev.yml by @justinchuby in #2306
• Fix bug in handling constants in cos sin fusion by @gramalingam in #2319
• Fixes to version converter by @gramalingam in #2318
• Disable fused_matmul_rule_sets by @titaiwangms in #2321
• Remove unnecessary warning by @xadupre in #2327
• Cleanup mha-bias rules using disjunction by @gramalingam in #2326
• Create official ESRP publishing pipelines by @justinchuby in #2320

Full Changelog: v0.2.5...v0.2.6