fix(linear.py): linear module uneven split is forbidden

internlm/initialize/launch.py

@@ -395,11 +395,17 @@ def args_sanity_check():
         gpc.config.parallel["tensor"] = dict(size=gpc.config.parallel["tensor"], mode=TensorParallelMode.mtp.name)
     if gpc.config.parallel["tensor"].get("mode", None) is None:
         gpc.config.parallel["tensor"]["mode"] = TensorParallelMode.mtp.name
+    assert (
+        gpc.config.VOCAB_SIZE % gpc.config.parallel.tensor.size == 0
+    ), "VOCAB_SIZE must be integer multiple of tensor parallel size"
     if gpc.config.parallel["tensor"]["mode"] == TensorParallelMode.isp.name:
         assert not gpc.config.parallel.zero1.fsdp, "FSDP does not support isp"
         assert (
             torch.__version__ >= "2.1.0"
         ), f"requires torch>=2.1.0 when using isp but current version is {torch.__version__}"
+        assert (
+            gpc.config.VOCAB_SIZE % gpc.config.parallel.weight.size == 0
+        ), "VOCAB_SIZE must be integer multiple of wp size"
 
     assert gpc.config.parallel["tensor"].get("mode", None) in [
         TensorParallelMode.mtp.name,

internlm/model/modules/linear.py

@@ -602,8 +602,10 @@ def __init__(
             split_features = out_features if split_mode == "column" else in_features
             multiple = split_features // multiple_of
             # We want to split @multiple across world_size, but it could be an uneven split
+            # uneven split is forbidden
             div = multiple // world_size
             mod = multiple % world_size
+            assert mod == 0, "linear module uneven split is forbidden"
             # The first @mod ranks get @div + 1 copies, the rest get @div copies
             local_multiple = div + int(rank < mod)
 

tests/test_training/test_forward_output_no_fa.py

@@ -31,6 +31,7 @@
 TOTAL_STEPS = 1
 config = Config(
     dict(
+        VOCAB_SIZE=92544,
         parallel=dict(
             zero1=dict(size=-1),
             tensor=dict(size=1, mode="mtp"),