-
Mateusz Bencer authored
* Switch to PartialShape in onnx_importer ValueInfo * Construct dynamic dimensions out of ONNX dimensions defined as dim_param * Validate the PartialShape of inputs created from an ONNX model with dynamic shapes * Validate the output shape inference for a dynamic ONNX model * Test the execution of an ONNX model with dynamic dimensions * Test the Ax+B with more than one batch size * Provenance tagging adjustments - PartialShape instead of Shape * Correct translation of ONNX shapes to nG shapes * Test the shape of Constant produced by scalar initializers * Review comments & more strict assertions in UT * UT checking a dynamic rank input * Fully dynamic input inference test * first dynamic version * modified UTs * Added assert checks * Added specialised methods * first verion of AvgPool * code review remarks introduced * Changed tests to use default BackendMode value * Reverted not related changes * first verion of AvgPool code review remarks introduced Changed tests to use default BackendMode value * first version of maxpool * Changed PoolingFactory to support dynamic shapes * fixed Pad op * Added Uts to global ops * Code review remarks introduced * code review remarks introduced * Code refactor * Code review remarks introduced Co-authored-by: Tomasz Dołbniak <tomasz.dolbniak@intel.com> Co-authored-by: Sang Ik Lee <sang.ik.lee@intel.com>