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    • Mateusz Bencer's avatar
      [ONNX] Add dynamic shapes support for pooling ops (#4285) · fdd8db66
      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: 's avatarTomasz Dołbniak <tomasz.dolbniak@intel.com>
      Co-authored-by: 's avatarSang Ik Lee <sang.ik.lee@intel.com>
      fdd8db66