[Core] TE common nvte_grouped_gemm workspace is incorrect

Describe the bug

A clear and concise description of what the bug is.

Steps/Code to reproduce bug

Please list minimal steps or code snippet for us to be able to reproduce the bug.

A helpful guide on on how to craft a minimal bug report http://matthewrocklin.com/blog/work/2018/02/28/minimal-bug-reports.

Expected behavior

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Environment overview (please complete the following information)

• Environment location: [Bare-metal, Docker, Cloud(specify cloud provider - AWS, Azure, GCP, Collab)]
• Method of Transformer Engine install: [pip install or from source]. Please specify exact commands you used to install.
• If method of install is [Docker], provide docker pull & docker run commands used

Environment details

If NVIDIA docker image is used you don't need to specify these.
Otherwise, please provide:

• OS version
• PyTorch version
• Python version
• Transformer Engine version
• CUDA version
• CUDNN version

Device details

• GPU model

Additional context

Add any other context about the problem here.

Start by locating the implementation and callers of nvte_grouped_gemm and inspect how its workspace is calculated and consumed. The report provides no reproduction steps, environment details, named files, or tests; done would require a confirmed reproduction and a verified correction to the workspace handling.