Releases: sdpython/onnx-diagnostic
Releases · sdpython/onnx-diagnostic
0.9.1
10 Feb 17:43
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0.9.0
05 Feb 15:02
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#403 : update the serialization of SlidingWindowCache to include parameter sliding_window, patch for sdpa_mask
#400 , #401 , #402 : improves InputObserver (investigations), add it the documentation
0.8.11
23 Jan 16:28
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#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
16 Jan 16:43
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#384 : add weights_only=False when using torch.load
0.8.9
12 Jan 11:02
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#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
07 Jan 17:32
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#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
18 Dec 16:36
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#366 : add command line to optimize a model
#363 : patch for DynamicDimConstraintPrinter
#360 , #364 : preliminary work for phi4
0.8.6
12 Dec 23:00
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#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
09 Dec 18:36
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#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
05 Dec 17:51
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#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