Merge branch 'skyw/fix_zeroshot_eval_script' into 'main'

remove mpu dependency in zeroshot script

See merge request ADLR/megatron-lm!493

tasks/zeroshot_gpt/evaluate.py

-# Copyright (c) 2022, NVIDIA CORPORATION. All rights reserved.
+# Copyright (c) 2022, NVIDIA CORPORATION. All rights reserved.
 
 """GPT zero-shot evaluation."""
 
@@ -9,7 +9,7 @@ import torch
 from megatron import get_args
 from megatron import print_rank_0, is_last_rank
 from megatron import get_tokenizer
-from megatron.core import mpu
+from megatron.core import parallel_state, tensor_parallel
 from megatron.checkpointing import load_checkpoint
 from megatron.model import GPTModel
 from megatron.training import get_model
@@ -90,10 +90,10 @@ def forward_step(batch, model, eval_metric):
 
     send_forward(output)
 
-    if mpu.is_pipeline_last_stage():
+    if parallel_state.is_pipeline_last_stage():
         # For loss, return the unreduced loss.
         if eval_metric == 'loss':
-            losses = mpu.tensor_parallel.vocab_parallel_cross_entropy(
+            losses = tensor_parallel.vocab_parallel_cross_entropy(
                 output.contiguous().float(), labels.contiguous())
             loss = torch.sum(
                 losses.view(-1) * loss_mask.contiguous().view(-1).float())
@@ -129,9 +129,9 @@ def evaluate(data_loader, model, eval_metric):
             output = forward_step(batch, model, eval_metric)
 
             # Reduce across processes.
-            if mpu.is_pipeline_last_stage():
+            if parallel_state.is_pipeline_last_stage():
                 torch.distributed.all_reduce(output,
-                                             group=mpu.get_data_parallel_group())
+                                             group=parallel_state.get_data_parallel_group())
 
                 total_output += output