trunk/8017d9d03e809164998f104ec43d30cc14a12eac: Revert "[DTensor] tests for uneven/zero-size shards (#174466)"

An automated system has reverted a recent PyTorch commit that introduced tests for handling unevenly sized or zero-sized data shards in DTensor, a system for distributing model data across multiple devices. The commit, number 174466, was automatically rolled back to prevent unstable behavior. This highlights the ongoing challenges in developing robust distributed computing frameworks for AI, where managing irregular data partitions is critical for performance but prone to errors.