0.8.11

• #396: fix serialization for DynamicCache with different layer classes
• #394: add function make_model_with_local_functions to partition a model into local functions

0.8.10

• #384: add weights_only=False when using torch.load

0.8.9

• #383: removed bool, int, float, None as input dummies for the exporter in method_to_onnx
• #382: make the ordering of the inferred dynamic shapes more robust
• #381: add parameter expand_batch_for to method_to_onnx
• #378: implements the computation of discrepancies in method_to_onnx
• #379: update the handling of cache after the removal of HybridCache, SlidingWindowCache in transformers>=5,

0.8.8

• #375: export a method to onnx in order to export using method generate
• #376: fix patched lazy_initialization for transformers>=5
• #372: fix patch on rotary embedding
• #371: fix make_fake_with_dynamic_dimensions

0.8.7

• #366: add command line to optimize a model
• #363: patch for DynamicDimConstraintPrinter
• #360, #364: preliminary work for phi4

0.8.6

• #357: complete simple_loop_for, an easier to rewrite loops
• #356: include qwen embedding part
• #355: better command line to export models
• #353, #354: add command line to compare two onnx models

0.8.5

• #349: fixes function max_diff (parameter hist)
• #348: add format dot, shape to command line print
• #346: fix patch for sdpa_mask_recent_torch even if it was removed in transformers>=5.0

0.8.4

• #341: preliminary support to export submodule
• #340: supports devices in onnx plugs
• #338: fixes ReplayConfiguration.dump, add function to select of part of a model
• #337: fixes extract_subset_of_nodes
• #336: implements versioned onnx plugs

0.8.3

• #331: adds a helper to convert an onnx model into dot
• #330: fixes access rope_parameters for transformers>=5
• #329: supports lists with OnnxruntimeEvaluator
• #326: use ConcatFromSequence in LoopMHA with the loop
• #325: adds plug for LoopMHA, extends the unit tests to measure the discrepancies
• #324: supports FunctionProto with arguments in OnnxruntimeEvaluator
• #323: drops torch 2.8 on CI
• #322: support rerunning onnx kernels with torch intermediate results in side-by-side
• #314: fix modelbuilder download needed after this change microsoft/onnxruntime-genai#1862
• #311: use custom and local function to use PackedMultiHeadAttention from onnxruntime
• #310: splits patches into multiple files
• #308: add option --save_ep to dump the exported program as well as torch input
• #304, #306, #316, #317, #318, #319: improves side-by-side comparison, creates command line sbs

0.8.2

• #303: fix inputs for summarization, feature extraction tasks
• #302: adds helpers to analyse onnxruntime profiling
• #297: experiment around a higher ops loop_for
• #292, #293, #294, #295: first version of new patches for Qwen models