[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>

colossalai/nn/optimizer/fused_adam.py

@@ -8,7 +8,7 @@ Licensed under the MIT License.
 """
 import torch
 
-from colossalai.utils import multi_tensor_applier
+from colossalai.utils import get_current_device, multi_tensor_applier
 
 
 class FusedAdam(torch.optim.Optimizer):
@@ -75,7 +75,7 @@ class FusedAdam(torch.optim.Optimizer):
             fused_optim = FusedOptimizerLoader().load()
 
             # Skip buffer
-            self._dummy_overflow_buf = torch.cuda.IntTensor([0])
+            self._dummy_overflow_buf = torch.tensor([0], dtype=torch.int, device=get_current_device())
             self.multi_tensor_adam = fused_optim.multi_tensor_adam
         else:
             raise RuntimeError("FusedAdam requires cuda extensions")

colossalai/nn/optimizer/hybrid_adam.py

@@ -3,7 +3,7 @@ from typing import Any, Optional
 import torch
 
 from colossalai.kernel.kernel_loader import FusedOptimizerLoader
-from colossalai.utils import multi_tensor_applier
+from colossalai.utils import get_current_device, multi_tensor_applier
 
 from .cpu_adam import CPUAdam
 
@@ -87,7 +87,7 @@ class HybridAdam(CPUAdam):
         if torch.cuda.is_available():
             fused_optim = FusedOptimizerLoader().load()
             self.gpu_adam_op = fused_optim.multi_tensor_adam
-            self._dummy_overflow_buf = torch.cuda.IntTensor([0])
+            self._dummy_overflow_buf = torch.tensor([0], dtype=torch.int, device=get_current_device())
 
     @torch.no_grad()
     def step(self, closure=None, div_scale: float = -1):