Transformers support #27
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February 17, 2022 17:13
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* removed useless context manager (SkipTorchTracing), removed useless debug prints (#18) Co-authored-by: igor <[email protected]> * fixed conversion of interpolation modes, fixed checking of empty inputs (#20) Co-authored-by: igor <[email protected]> * Fix: average pool (#19) * fixed avg pool operation * added tests (avg pool) Co-authored-by: igor <[email protected]> * fix_optional_args * common.py and custom_export_to_onnx.py moved to utils package * fixed moving OnnxConstantOfShape between devices * fixed placeholders names * fixed error string * Models test (#23) * Add tests for classification, segmentation and detection models * Fix readme Co-authored-by: Peter Ivanov <[email protected]> * fix empty nms, tracing reduce * fix bug * change version to 1.2 * fixed indexing in scatter nd Co-authored-by: IvanovP <[email protected]> * Transformers support (#27) * now we support visual transformers models from tiim such as vit and swin * added split operation * added matmul operation Co-authored-by: IvanovP <[email protected]> Co-authored-by: igor <[email protected]> * fixed pylint warnings (#28) Co-authored-by: igor <[email protected]> * fix slow scatternd (#31) fix slow scatter nd Co-authored-by: IvanovP <[email protected]> * Roialign, roundings, trigonometry (#33) * added roialigne * added trigonometric functions * added rounding functions Co-authored-by: IvanovP <[email protected]> Co-authored-by: igor <[email protected]> * Fix: export to onnx (#34) * updated export logic of reshape + slice + shape operations * added custom export for tile Co-authored-by: igor <[email protected]> * Feature: modules markers (#36) * added modules markers * added custom export to onnx for gather Co-authored-by: igor <[email protected]> * Fix: model tests (#35) * added logsoftmax operation * refactored tests resourses Co-authored-by: IvanovP <[email protected]> Co-authored-by: igor <[email protected]> * fix expand test for onnx 1.11 Co-authored-by: ivkalgin <[email protected]> Co-authored-by: igor <[email protected]> Co-authored-by: IvanovP <[email protected]> Co-authored-by: Peter Ivanov <[email protected]>
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Now we support visual transformers models from tiim such as
vitandswin.