DeepSpeed

4fd3c825 - Use device names, not rank ids, for device placement in test helpers (#8397)

Use device names, not rank ids, for device placement in test helpers (#8397) ## Problem `get_accelerator().current_device()` returns a **device index** on GPU backends (`torch.cuda.current_device()` → int), but on CPU it returns the `LOCAL_RANK` environment value — a plain **string** like `'1'`. Two test-side consumers fed that value straight into tensor/device placement: - `reduce_boolean_flags` in `tests/unit/common.py` (backbone of `allclose_on_all_ranks`, the "all ranks succeed or fail together" check) - 15 call sites in `tests/unit/v1/autotp/test_autotp_training.py` On CPU this fails immediately with `RuntimeError: Invalid device string: '1'` — before the first collective even runs. ## Change - Use `current_device_name()`, which returns a full device string on every backend (`'cpu'`, `'cuda:N'`, `'mps:0'`, …) and is equivalent to the index on GPU backends. - In `reduce_boolean_flags`, carry the flag in a 1-dim tensor: gloo rejects 0-dim inputs to `all_gather_into_tensor` (NCCL tolerates them), so the previous form would have failed on the very next line. ## Validation Validated as part of the multi-rank CPU CI experiment in #8381 (same-commit baseline comparison): this failure class disappeared, zero regressions on previously-passing tests. --------- Signed-off-by: Guokai Ma <guokai.ma@intel.com> Signed-off-by: Ma, Guokai <guokai.ma@intel.com>