[bug] fix get_default_parser in examples (#4764)

colossalai/legacy/__init__.py

@@ -1,4 +1,11 @@
-from .initialize import initialize, launch, launch_from_openmpi, launch_from_slurm, launch_from_torch
+from .initialize import (
+    get_default_parser,
+    initialize,
+    launch,
+    launch_from_openmpi,
+    launch_from_slurm,
+    launch_from_torch,
+)
 
 __all__ = [
     "launch",
@@ -6,4 +13,5 @@ __all__ = [
     "launch_from_slurm",
     "launch_from_torch",
     "initialize",
+    "get_default_parser",
 ]

examples/community/roberta/pretraining/arguments.py

@@ -1,10 +1,10 @@
-import colossalai
+import argparse
 
 __all__ = ["parse_args"]
 
 
 def parse_args():
-    parser = colossalai.get_default_parser()
+    parser = argparse.ArgumentParser()
 
     parser.add_argument(
         "--distplan",

examples/images/vit/args.py

@@ -1,8 +1,8 @@
-from colossalai import get_default_parser
+import argparse
 
 
 def parse_demo_args():
-    parser = get_default_parser()
+    parser = argparse.ArgumentParser()
     parser.add_argument(
         "--model_name_or_path",
         type=str,
@@ -52,7 +52,7 @@ def parse_demo_args():
 
 
 def parse_benchmark_args():
-    parser = get_default_parser()
+    parser = argparse.ArgumentParser()
 
     parser.add_argument(
         "--model_name_or_path",

examples/images/vit/run_benchmark.sh

@@ -11,9 +11,9 @@ for PLUGIN in "torch_ddp" "torch_ddp_fp16" "low_level_zero" "gemini" "hybrid_par
 do
 
 MODEL_PATH="google/vit-base-patch16-224"
-torchrun \
+colossalai run \
-  --standalone \
+  --nproc_per_node ${GPUNUM} \
-  --nproc_per_node 4 \
+  --master_port 29505 \
   vit_benchmark.py \
   --model_name_or_path ${MODEL_PATH} \
   --mem_cap ${MEMCAP} \

examples/images/vit/run_demo.sh

@@ -35,9 +35,9 @@ WEIGHT_DECAY=0.05
 WARMUP_RATIO=0.3
 
 # run the script for demo
-torchrun \
+colossalai run \
-  --standalone \
   --nproc_per_node ${GPUNUM} \
+  --master_port 29505 \
   vit_train_demo.py \
   --model_name_or_path ${MODEL} \
   --output_path ${OUTPUT_PATH} \

examples/images/vit/test_ci.sh

@@ -5,9 +5,9 @@ BS=8
 for PLUGIN in "torch_ddp" "torch_ddp_fp16" "low_level_zero" "gemini" "hybrid_parallel"
 do
 
-torchrun \
+colossalai run \
-  --standalone \
   --nproc_per_node 4 \
+  --master_port 29505 \
   vit_benchmark.py \
   --model_name_or_path "google/vit-base-patch16-224" \
   --plugin ${PLUGIN} \

examples/language/gpt/titans/train_gpt.py

@@ -1,3 +1,4 @@
+import argparse
 import contextlib
 import os
 
@@ -29,7 +30,7 @@ VOCAB_SIZE = 50257
 
 
 def main():
-    parser = colossalai.get_default_parser()
+    parser = argparse.ArgumentParser()
     parser.add_argument("--from_torch", default=False, action="store_true")
     parser.add_argument("--use_dummy_dataset", default=False, action="store_true")
     args = parser.parse_args()

examples/language/opt/args.py

@@ -1,8 +1,8 @@
-from colossalai import get_default_parser
+import argparse
 
 
 def parse_demo_args():
-    parser = get_default_parser()
+    parser = argparse.ArgumentParser()
     parser.add_argument(
         "--model_name_or_path",
         type=str,
@@ -39,7 +39,7 @@ def parse_demo_args():
 
 
 def parse_benchmark_args():
-    parser = get_default_parser()
+    parser = argparse.ArgumentParser()
     parser.add_argument(
         "--model_name_or_path",
         type=str,

examples/language/opt/run_benchmark.sh

@@ -16,9 +16,9 @@ for GPUNUM in 1 4
 do
 
 MODLE_PATH="facebook/opt-${MODEL}"
-torchrun \
+colossalai run \
-  --standalone \
   --nproc_per_node ${GPUNUM} \
+  --master_port 29505 \
   opt_benchmark.py \
   --model_name_or_path ${MODLE_PATH} \
   --mem_cap ${MEMCAP} \

examples/language/opt/run_demo.sh

@@ -30,9 +30,9 @@ WEIGHT_DECAY=0.01
 WARMUP_RATIO=0.1
 
 # run the script for demo
-torchrun \
+colossalai run \
-  --standalone \
   --nproc_per_node ${GPUNUM} \
+  --master_port 29505 \
   opt_train_demo.py \
   --model_name_or_path ${MODEL} \
   --output_path ${OUTPUT_PATH} \

examples/language/opt/test_ci.sh

@@ -7,9 +7,9 @@ do
 for GPUNUM in 1 4
 do
 
-torchrun \
+colossalai run \
-  --standalone \
   --nproc_per_node ${GPUNUM} \
+  --master_port 29505 \
   opt_benchmark.py \
   --model_name_or_path "facebook/opt-125m" \
   --plugin ${PLUGIN} \

examples/language/palm/run.sh

@@ -8,6 +8,6 @@ export PLACEMENT='cpu'
 export USE_SHARD_INIT=False
 export BATCH_SIZE=1
 
-env OMP_NUM_THREADS=12 torchrun  --standalone --nproc_per_node=${GPUNUM}  --master_port 29501  train.py  \
+env OMP_NUM_THREADS=12 colossalai run --nproc_per_node ${GPUNUM} --master_port 29505  train.py  \
 --dummy_data=True --tp_degree=${TPDEGREE} --batch_size=${BATCH_SIZE} --plugin='gemini' \
 --placement ${PLACEMENT} --shardinit ${USE_SHARD_INIT} --distplan ${DISTPAN} 2>&1 | tee run.log

examples/language/palm/test_ci.sh

@@ -4,6 +4,6 @@ for BATCH_SIZE in 2
 do
 for GPUNUM in 1 4
 do
-env OMP_NUM_THREADS=12 torchrun  --standalone --nproc_per_node=${GPUNUM}  --standalone  train.py --dummy_data=True --batch_size=${BATCH_SIZE}  --plugin='gemini' 2>&1 | tee run.log
+env OMP_NUM_THREADS=12 colossalai run --nproc_per_node ${GPUNUM} --master_port 29505 train.py --dummy_data=True --batch_size=${BATCH_SIZE}  --plugin='gemini' 2>&1 | tee run.log
 done
 done

examples/language/palm/train.py

@@ -1,3 +1,4 @@
+import argparse
 import gzip
 from contextlib import nullcontext
 from functools import partial
@@ -33,7 +34,7 @@ SEQ_LEN = 1024
 
 
 def parse_args():
-    parser = colossalai.get_default_parser()
+    parser = argparse.ArgumentParser()
     parser.add_argument(
         "--distplan",
         type=str,