Class ov::pass::WrapInterpolateIntoTransposes

class WrapInterpolateIntoTransposes : public ov::pass::MatcherPass

WrapInterpolateIntoTransposes transformation replaces Interpolate with Transpose -> Interpolate -> Transpose when 1) the source Interpolate has the static input rank; 2) ‘axes’ input is a Constant; 3) number of axes is equal to input rank minus 2; 4) axes contain 0 or 1. The reason of this transformation is that now CPU plugin supports interpolation only with respect to spatial dimensions, but TensorFlow frontend gives Interpolate with axes {1, 2} for 4D tensors.