Change Logs¶

0.4.0¶

#61: improves dynamic shapes for EncoderDecoderCache
#58: add function use_dyn_not_str to replace string by torch.export.Dim.DYNAMIC, use string instead of torch.export.Dim.DYNAMIC when returning the dynamic shapes for a specific models, it is a valid definition for torch.onnx.export which can reuse the names
#55: add support for text-classification
#54: add support for fill-mask, refactoring
#52: add support for zero-shot-image-classification
#50: add support for onnxruntime fusion
#48: add support for EncoderDecoderCache, test with openai/whisper-tiny
#45: improve change_dynamic_dimension to fix some dimensions

#43: uses custom patches
#38: uses the registered serialization functions when it is available
#30, #31: adds command to test a model id, validate the export
#29: adds helpers to measure the memory peak and run benchmark on different processes
#28: adds command line to print out the configuration for a model id, support image-text-to-text
#26: creates a folder helpers to gather all the functions used in many places
#25: improve patches for DynamicCache (issue with register_pytree_flatten_spec being deprecated)
#24: dummy inputs for text2text-generation, add new function convert_dynamic_axes_into_dynamic_shapes to convert dynamic axes into dynamic shapes, add support for T5ForConditionalGeneration
#23: dummy inputs for image-classification
#22, #27: api to create untrained model copying the architecture of the trained models and dummy inputs for them, support for text-generation

#16: refactors patches, add model Phi2, implements a tweak to raise an exception with a dynamic dimension becomes static when exporting a model

first version