[gemini] init genimi individual directory (#754)

colossalai/gemini/__init__.py

+from .stateful_tensor_mgr import StatefulTensorMgr
+from .tensor_placement_policy import TensorPlacementPolicyFactory
+
+__all__ = ['StatefulTensorMgr', 'TensorPlacementPolicyFactory']
\ No newline at end of file

colossalai/zero/utils/stateful_tensor_mgr.py → colossalai/gemini/stateful_tensor_mgr.py

@@ -5,7 +5,7 @@ from colossalai.utils.cuda import get_current_device
 from colossalai.zero.sharded_param.sharded_param import ShardedParamV2
 from colossalai.zero.sharded_param.tensorful_state import StatefulTensor, TensorState
 from colossalai.zero.sharded_param.tensor_utils import colo_model_data_tensor_move_inline, colo_tensor_mem_usage
-from colossalai.zero.utils.tensor_placement_policy import TensorPlacementPolicy
+from colossalai.gemini.tensor_placement_policy import TensorPlacementPolicy
 from typing import List
 from colossalai.logging import get_dist_logger
 

colossalai/zero/sharded_model/sharded_model_v2.py

@@ -22,8 +22,8 @@ from colossalai.zero.sharded_model.reduce_scatter import ReduceScatterBucketer
 from colossalai.zero.sharded_param.tensorful_state import TensorState
 from torch.distributed import ProcessGroup
 from torch.nn.parameter import Parameter
-from colossalai.zero.utils.stateful_tensor_mgr import StatefulTensorMgr
-from colossalai.zero.utils.tensor_placement_policy import TensorPlacementPolicyFactory, TensorPlacementPolicy
+from colossalai.gemini.stateful_tensor_mgr import StatefulTensorMgr
+from colossalai.gemini.tensor_placement_policy import TensorPlacementPolicyFactory, TensorPlacementPolicy
 
 from ._utils import (cast_float_arguments, cast_tensor_to_fp16, cast_tensor_to_fp32, chunk_and_pad, free_storage,
                      get_gradient_predivide_factor)

colossalai/zero/sharded_optim/sharded_optim_v2.py

@@ -21,7 +21,7 @@ from torch import Tensor
 from torch.distributed import ProcessGroup
 from torch.nn.parameter import Parameter
 from torch.optim import Optimizer
-from colossalai.zero.utils.tensor_placement_policy import AutoTensorPlacementPolicy
+from colossalai.gemini.tensor_placement_policy import AutoTensorPlacementPolicy
 
 
 class OptimState(Enum):

colossalai/zero/utils/__init__.py

-from .stateful_tensor_mgr import StatefulTensorMgr
-from .tensor_placement_policy import TensorPlacementPolicyFactory
 from .zero_hook import ZeroHook
 
-__all__ = ['StatefulTensorMgr', 'ZeroHook', 'TensorPlacementPolicyFactory']
+__all__ = ['ZeroHook']
\ No newline at end of file

colossalai/zero/utils/zero_hook.py

@@ -9,8 +9,7 @@ from colossalai.utils.memory_tracer.memstats_collector import MemStatsCollector
 
 from colossalai.zero.shard_utils import BaseShardStrategy
 from colossalai.zero.sharded_param.tensorful_state import TensorState
-from colossalai.zero.utils.stateful_tensor_mgr import StatefulTensorMgr
-from colossalai.zero.sharded_param.tensor_utils import colo_model_data_tensor_move_inline
+from colossalai.gemini.stateful_tensor_mgr import StatefulTensorMgr
 
 from colossalai.engine.ophooks import BaseOpHook
 

tests/test_zero/test_stateful_tensor_mgr.py

@@ -6,7 +6,7 @@ from colossalai.utils.cuda import get_current_device
 from colossalai.utils.memory_tracer import MemStatsCollector
 from colossalai.utils.memory_tracer.model_data_memtracer import GLOBAL_MODEL_DATA_TRACER
 from colossalai.utils.memory import colo_set_process_memory_fraction
-from colossalai.zero.utils import StatefulTensorMgr
+from colossalai.gemini import StatefulTensorMgr
 from colossalai.zero.sharded_param.sharded_param import ShardedParamV2
 from colossalai.zero.sharded_param.tensorful_state import TensorState
 from colossalai.utils import free_port
@@ -14,7 +14,9 @@ from colossalai.testing import rerun_on_exception
 from torch.nn.parameter import Parameter
 from typing import List
 from functools import partial
-from colossalai.zero.utils.tensor_placement_policy import AutoTensorPlacementPolicy
+
+from colossalai.gemini import StatefulTensorMgr
+from colossalai.gemini.tensor_placement_policy import AutoTensorPlacementPolicy
 
 
 class Net(torch.nn.Module):