[misc] refactor launch API and tensor constructor (#5666)

* [misc] remove config arg from initialize

* [misc] remove old tensor contrusctor

* [plugin] add npu support for ddp

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

* [devops] fix doc test ci

* [test] fix test launch

* [doc] update launch doc

---------

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

examples/images/dreambooth/debug.py

@@ -9,7 +9,7 @@ from colossalai.zero import ColoInitContext
 
 path = "/data/scratch/diffuser/stable-diffusion-v1-4"
 
-colossalai.launch_from_torch(config={})
+colossalai.launch_from_torch()
 with ColoInitContext(device="cpu"):
     vae = AutoencoderKL.from_pretrained(
         path,

examples/images/dreambooth/train_dreambooth_colossalai.py

@@ -372,9 +372,9 @@ def get_full_repo_name(model_id: str, organization: Optional[str] = None, token:
 
 def main(args):
     if args.seed is None:
-        colossalai.launch_from_torch(config={})
+        colossalai.launch_from_torch()
     else:
-        colossalai.launch_from_torch(config={}, seed=args.seed)
+        colossalai.launch_from_torch(seed=args.seed)
 
     local_rank = dist.get_rank()
     world_size = dist.get_world_size()

examples/images/dreambooth/train_dreambooth_colossalai_lora.py

@@ -371,9 +371,9 @@ def get_full_repo_name(model_id: str, organization: Optional[str] = None, token:
 
 def main(args):
     if args.seed is None:
-        colossalai.launch_from_torch(config={})
+        colossalai.launch_from_torch()
     else:
-        colossalai.launch_from_torch(config={}, seed=args.seed)
+        colossalai.launch_from_torch(seed=args.seed)
 
     local_rank = gpc.get_local_rank(ParallelMode.DATA)
     world_size = gpc.get_world_size(ParallelMode.DATA)

examples/images/resnet/train.py

@@ -128,7 +128,7 @@ def main():
     # ==============================
     # Launch Distributed Environment
     # ==============================
-    colossalai.launch_from_torch(config={})
+    colossalai.launch_from_torch()
     coordinator = DistCoordinator()
 
     # update the learning rate with linear scaling

examples/images/vit/vit_benchmark.py

@@ -46,7 +46,7 @@ def main():
     args = parse_benchmark_args()
 
     # Launch ColossalAI
-    colossalai.launch_from_torch(config={}, seed=args.seed)
+    colossalai.launch_from_torch(seed=args.seed)
     coordinator = DistCoordinator()
     world_size = coordinator.world_size
 

examples/images/vit/vit_train_demo.py

@@ -137,7 +137,7 @@ def main():
     args = parse_demo_args()
 
     # Launch ColossalAI
-    colossalai.launch_from_torch(config={}, seed=args.seed)
+    colossalai.launch_from_torch(seed=args.seed)
     coordinator = DistCoordinator()
     world_size = coordinator.world_size