debuged the cpu init for mp=1

megatron/mpu/layers.py

@@ -72,14 +72,6 @@ def _initialize_affine_weight_cpu(weight, output_size, input_size,
     weight.partition_dim = partition_dim
     weight.partition_stride = stride
 
-    # If we only use 1 process for model parallelism, bypass scatter.
-    world_size = get_model_parallel_world_size()
-    if world_size == 1:
-        init_method(weight)
-        if return_master_weight:
-            return weight
-        return None
-
     # Initialize master weight
     master_weight = torch.empty(output_size, input_size,
                                 dtype=torch.float,
@@ -93,6 +85,7 @@ def _initialize_affine_weight_cpu(weight, output_size, input_size,
     weight_list = torch.split(master_weight, per_partition_per_stride_size,
                               dim=partition_dim)
     rank = get_model_parallel_rank()
+    world_size = get_model_parallel_world_size()
     my_weight_list = weight_list[rank::world_size]
 
     with torch.no_grad():