Fix the accuracy issue from onnxruntime single layer test case

[sgbihu]

Details:

• Align the parameter with ONNX operators
• Enable 3D tensor resize on 3 dims
• Avoid reorder when the lowest dimension doesn't scale.

Tickets:

• CVS-169528

[Copilot]

Pull Request Overview

This pull request fixes accuracy issues in the ONNX runtime single layer test case by aligning parameters with ONNX operators, enabling 3D tensor resize operations on 3 dimensions, and optimizing performance by avoiding unnecessary reordering when the lowest dimension doesn't scale.

Key changes include:

• Updated spatial dimension calculation to dynamically determine dimensions based on input/output tensor differences
• Added support for ONNX resize operator's antialias and axes attributes
• Implemented logic to avoid reordering when the lowest dimension remains unchanged

Reviewed Changes

Copilot reviewed 3 out of 3 changed files in this pull request and generated 2 comments.

File	Description
src/plugins/intel_cpu/src/nodes/interpolate.h	Updates function signature to accept source and destination dimensions
src/plugins/intel_cpu/src/nodes/interpolate.cpp	Implements dynamic spatial dimension calculation and reorder optimization logic
src/frontends/onnx/frontend/src/op/resize.cpp	Adds support for antialias and axes attributes in ONNX resize operator

Comments suppressed due to low confidence (2)

src/plugins/intel_cpu/src/nodes/interpolate.cpp:2549

• [nitpick] The magic number 3 should be replaced with a named constant or derived from srcDims.size() to make the code more maintainable and self-documenting.

        auto* selectedPD = getSelectedPrimitiveDescriptor();

src/plugins/intel_cpu/src/nodes/interpolate.cpp:2041

• [nitpick] The lambda function name 'avoidReorder' is ambiguous. Consider renaming it to 'shouldAvoidReorder' or 'canAvoidReorder' to better indicate it returns a boolean condition.

                auto avoidReorder = [](const auto& inputDataShape, const auto& outputShape) {

[rkazants]

@sgbihu, please provide tests

[maxnick]

@chenhu-wang , could you please review?