Add ragged_conv1d for ragged chunked kernel integration for gdn attention

[helloworld1]

Description

Add ragged_conv1d for ragged chunked kernel integration for gdn attention

• Add ragged_conv1d
• Add interface for ragged gated delta rule
• Use reorder_concatenated_tensor_for_sharding for sharding conversion to simplify code
• Updated argument comments to make them clear

Tests

Tested quality and performance of qwen 3.5 model. At gives right answers in examples/offline_inference.py
Tested numerical on par with previous implementation

Checklist

Before submitting this PR, please make sure:

• I have performed a self-review of my code.
• I have necessary comments in my code, particularly in hard-to-understand areas.
• I have made or will make corresponding changes to any relevant documentation.

[github-actions]

Description

Start with a short description of what the PR does and how this is a change from
the past.

The rest of the description includes relevant details and context, examples:

• why is this change being made,
• the problem being solved and any relevant context,
• why this is a good solution,
• some information about the specific implementation,
• shortcomings of the solution and possible future improvements.

If the change fixes a Github issue, please include a link, e.g.,:
FIXES: #123456

Tests

Please describe how you tested this change, and include any instructions and/or
commands to reproduce.

Checklist

Before submitting this PR, please make sure:

• I have performed a self-review of my code.
• I have necessary comments in my code, particularly in hard-to-understand areas.
• I have made or will make corresponding changes to any relevant documentation.