We are currently solving the following issue within our repository. Here is the issue text:
--- BEGIN ISSUE ---
[tensor] fix some unittests

[tensor] fix some unittests

[tensor] fix some unittests


--- END ISSUE ---

Below are some code segments, each from a relevant file. One or more of these files may contain bugs.
--- BEGIN FILES ---
Path: `colossalai/auto_parallel/tensor_shard/deprecated/op_handler/strategy_generator.py`
Content:
```
1 from dataclasses import dataclass
2 from abc import ABC, abstractmethod
3 from typing import List, Dict
4 from colossalai.device.device_mesh import DeviceMesh
5 
6 __all__ = ['IntermediateStrategy', 'StrategyGenerator']
7 
8 
9 @dataclass
10 class IntermediateStrategy:
11     """
12     IntermediateStrategy contains the subset of meta information for ShardingStrategy. It is 
13     to store the essential information regarding the tensor sharding and leave other meta information to OperatorHandler.
14 
15     Args:
16         name (str): name of the sharding strategy.
17         dim_partition_dict (Dict[Dict]): stores the tensor to dim partition dict mapping.
18         all_reduce_dims (List[int]): stores the dimensions which require an all-reduce operation.
19     """
20     name: str
21     dim_partition_dict: Dict[str, Dict[int, List[int]]]
22     all_reduce_axis: List[int] = None
23 
24 
25 class StrategyGenerator(ABC):
26     """
27     StrategyGenerator is used to generate the same group of sharding strategies. 
28     """
29 
30     def __init__(self, device_mesh: DeviceMesh):
31         self.device_mesh = device_mesh
32 
33     @abstractmethod
34     def generate(self) -> List[IntermediateStrategy]:
35         """
36         """
37         pass
38 
39     @abstractmethod
40     def validate(self, *args, **kwargs) -> bool:
41         """
42         Validate if the operands are of desired shape. 
43         If True, means this generator can be used for the current operation.
44         """
45         pass
46
```
--- END FILES ---

Please first localize the bug based on the issue statement, and then generate a patch according to the `git diff` format fenced by three backticks.

Here is an example:

```diff
diff --git a/examples/server_async.py b/examples/server_async.py
--- a/examples/server_async.py
+++ b/examples/server_async.py
@@ -313,4 +313,4 @@
 
 
 if __name__ == "__main__":
-    asyncio.run(run_async_server("."), debug=True)
+    asyncio.run(run_async_server(), debug=True)
diff --git a/examples/server_sync.py b/examples/server_sync.py
--- a/examples/server_sync.py
+++ b/examples/server_sync.py
@@ -313,5 +313,5 @@
 
 
 if __name__ == "__main__":
-    server = run_sync_server(".")
+    server = run_sync_server()
     server.shutdown()

```

diff --git a/colossalai/auto_parallel/tensor_shard/deprecated/op_handler/strategy_generator.py b/colossalai/auto_parallel/tensor_shard/deprecated/op_handler/strategy_generator.py
--- a/colossalai/auto_parallel/tensor_shard/deprecated/op_handler/strategy_generator.py
+++ b/colossalai/auto_parallel/tensor_shard/deprecated/op_handler/strategy_generator.py
@@ -1,6 +1,7 @@
-from dataclasses import dataclass
 from abc import ABC, abstractmethod
-from typing import List, Dict
+from dataclasses import dataclass
+from typing import Dict, List
+
 from colossalai.device.device_mesh import DeviceMesh
 
 __all__ = ['IntermediateStrategy', 'StrategyGenerator']
@@ -9,7 +10,7 @@
 @dataclass
 class IntermediateStrategy:
     """
-    IntermediateStrategy contains the subset of meta information for ShardingStrategy. It is 
+    IntermediateStrategy contains the subset of meta information for ShardingStrategy. It is
     to store the essential information regarding the tensor sharding and leave other meta information to OperatorHandler.
 
     Args:
@@ -24,7 +25,7 @@
 
 class StrategyGenerator(ABC):
     """
-    StrategyGenerator is used to generate the same group of sharding strategies. 
+    StrategyGenerator is used to generate the same group of sharding strategies.
     """
 
     def __init__(self, device_mesh: DeviceMesh):
@@ -39,7 +40,7 @@
     @abstractmethod
     def validate(self, *args, **kwargs) -> bool:
         """
-        Validate if the operands are of desired shape. 
+        Validate if the operands are of desired shape.
         If True, means this generator can be used for the current operation.
         """
         pass

{"golden_diff": "diff --git a/colossalai/auto_parallel/tensor_shard/deprecated/op_handler/strategy_generator.py b/colossalai/auto_parallel/tensor_shard/deprecated/op_handler/strategy_generator.py\n--- a/colossalai/auto_parallel/tensor_shard/deprecated/op_handler/strategy_generator.py\n+++ b/colossalai/auto_parallel/tensor_shard/deprecated/op_handler/strategy_generator.py\n@@ -1,6 +1,7 @@\n-from dataclasses import dataclass\n from abc import ABC, abstractmethod\n-from typing import List, Dict\n+from dataclasses import dataclass\n+from typing import Dict, List\n+\n from colossalai.device.device_mesh import DeviceMesh\n \n __all__ = ['IntermediateStrategy', 'StrategyGenerator']\n@@ -9,7 +10,7 @@\n @dataclass\n class IntermediateStrategy:\n     \"\"\"\n-    IntermediateStrategy contains the subset of meta information for ShardingStrategy. It is \n+    IntermediateStrategy contains the subset of meta information for ShardingStrategy. It is\n     to store the essential information regarding the tensor sharding and leave other meta information to OperatorHandler.\n \n     Args:\n@@ -24,7 +25,7 @@\n \n class StrategyGenerator(ABC):\n     \"\"\"\n-    StrategyGenerator is used to generate the same group of sharding strategies. \n+    StrategyGenerator is used to generate the same group of sharding strategies.\n     \"\"\"\n \n     def __init__(self, device_mesh: DeviceMesh):\n@@ -39,7 +40,7 @@\n     @abstractmethod\n     def validate(self, *args, **kwargs) -> bool:\n         \"\"\"\n-        Validate if the operands are of desired shape. \n+        Validate if the operands are of desired shape.\n         If True, means this generator can be used for the current operation.\n         \"\"\"\n         pass\n", "issue": "[tensor] fix some unittests\n\n[tensor] fix some unittests\n\n[tensor] fix some unittests\n\n", "before_files": [{"content": "from dataclasses import dataclass\nfrom abc import ABC, abstractmethod\nfrom typing import List, Dict\nfrom colossalai.device.device_mesh import DeviceMesh\n\n__all__ = ['IntermediateStrategy', 'StrategyGenerator']\n\n\n@dataclass\nclass IntermediateStrategy:\n    \"\"\"\n    IntermediateStrategy contains the subset of meta information for ShardingStrategy. It is \n    to store the essential information regarding the tensor sharding and leave other meta information to OperatorHandler.\n\n    Args:\n        name (str): name of the sharding strategy.\n        dim_partition_dict (Dict[Dict]): stores the tensor to dim partition dict mapping.\n        all_reduce_dims (List[int]): stores the dimensions which require an all-reduce operation.\n    \"\"\"\n    name: str\n    dim_partition_dict: Dict[str, Dict[int, List[int]]]\n    all_reduce_axis: List[int] = None\n\n\nclass StrategyGenerator(ABC):\n    \"\"\"\n    StrategyGenerator is used to generate the same group of sharding strategies. \n    \"\"\"\n\n    def __init__(self, device_mesh: DeviceMesh):\n        self.device_mesh = device_mesh\n\n    @abstractmethod\n    def generate(self) -> List[IntermediateStrategy]:\n        \"\"\"\n        \"\"\"\n        pass\n\n    @abstractmethod\n    def validate(self, *args, **kwargs) -> bool:\n        \"\"\"\n        Validate if the operands are of desired shape. \n        If True, means this generator can be used for the current operation.\n        \"\"\"\n        pass\n", "path": "colossalai/auto_parallel/tensor_shard/deprecated/op_handler/strategy_generator.py"}], "after_files": [{"content": "from abc import ABC, abstractmethod\nfrom dataclasses import dataclass\nfrom typing import Dict, List\n\nfrom colossalai.device.device_mesh import DeviceMesh\n\n__all__ = ['IntermediateStrategy', 'StrategyGenerator']\n\n\n@dataclass\nclass IntermediateStrategy:\n    \"\"\"\n    IntermediateStrategy contains the subset of meta information for ShardingStrategy. It is\n    to store the essential information regarding the tensor sharding and leave other meta information to OperatorHandler.\n\n    Args:\n        name (str): name of the sharding strategy.\n        dim_partition_dict (Dict[Dict]): stores the tensor to dim partition dict mapping.\n        all_reduce_dims (List[int]): stores the dimensions which require an all-reduce operation.\n    \"\"\"\n    name: str\n    dim_partition_dict: Dict[str, Dict[int, List[int]]]\n    all_reduce_axis: List[int] = None\n\n\nclass StrategyGenerator(ABC):\n    \"\"\"\n    StrategyGenerator is used to generate the same group of sharding strategies.\n    \"\"\"\n\n    def __init__(self, device_mesh: DeviceMesh):\n        self.device_mesh = device_mesh\n\n    @abstractmethod\n    def generate(self) -> List[IntermediateStrategy]:\n        \"\"\"\n        \"\"\"\n        pass\n\n    @abstractmethod\n    def validate(self, *args, **kwargs) -> bool:\n        \"\"\"\n        Validate if the operands are of desired shape.\n        If True, means this generator can be used for the current operation.\n        \"\"\"\n        pass\n", "path": "colossalai/auto_parallel/tensor_shard/deprecated/op_handler/strategy_generator.py"}]}