We are currently solving the following issue within our repository. Here is the issue text:
--- BEGIN ISSUE ---
`import tvm` now requires pytest
With the merge of #6331, `import tvm` now requires pytest. I created this issue just to check whether this is something intentional or something that we want to fix.

The chain from `import tvm` to `import pytest` happens due to the `from .import testing` on `python/tvm/__init__.py`. There is nothing actually done with that import.

https://github.com/apache/incubator-tvm/blob/a4ebb16ed76bfea4ce4eed7be7ea73d4a01027e2/python/tvm/__init__.py#L53-L56

Within `python/tvm/testing.py` then there is the `import pytest`. I was thinking that we might want to remove these lines from `__init__.py`, so that we don't load `tvm.testing` and will only import it when required. I'm happy to submit a PR removing those lines, in case there is an understanding that it makes sense.

cc @tqchen 

--- END ISSUE ---

Below are some code segments, each from a relevant file. One or more of these files may contain bugs.
--- BEGIN FILES ---
Path: `python/tvm/__init__.py`
Content:
```
1 # Licensed to the Apache Software Foundation (ASF) under one
2 # or more contributor license agreements.  See the NOTICE file
3 # distributed with this work for additional information
4 # regarding copyright ownership.  The ASF licenses this file
5 # to you under the Apache License, Version 2.0 (the
6 # "License"); you may not use this file except in compliance
7 # with the License.  You may obtain a copy of the License at
8 #
9 #   http://www.apache.org/licenses/LICENSE-2.0
10 #
11 # Unless required by applicable law or agreed to in writing,
12 # software distributed under the License is distributed on an
13 # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
14 # KIND, either express or implied.  See the License for the
15 # specific language governing permissions and limitations
16 # under the License.
17 # pylint: disable=redefined-builtin, wildcard-import
18 """TVM: Open Deep Learning Compiler Stack."""
19 import multiprocessing
20 import sys
21 import traceback
22 
23 # top-level alias
24 # tvm._ffi
25 from ._ffi.base import TVMError, __version__
26 from ._ffi.runtime_ctypes import DataTypeCode, DataType
27 from ._ffi import register_object, register_func, register_extension, get_global_func
28 
29 # top-level alias
30 # tvm.runtime
31 from .runtime.object import Object
32 from .runtime.ndarray import context, cpu, gpu, opencl, cl, vulkan, metal, mtl
33 from .runtime.ndarray import vpi, rocm, ext_dev, micro_dev, hexagon
34 from .runtime import ndarray as nd
35 
36 # tvm.error
37 from . import error
38 
39 # tvm.ir
40 from .ir import IRModule
41 from .ir import transform
42 from .ir import container
43 from . import ir
44 
45 # tvm.tir
46 from . import tir
47 
48 # tvm.target
49 from . import target
50 
51 # tvm.te
52 from . import te
53 
54 # tvm.testing
55 from . import testing
56 
57 # tvm.driver
58 from .driver import build, lower
59 
60 # tvm.parser
61 from . import parser
62 
63 # tvm tir hybrid script
64 from . import hybrid
65 
66 # others
67 from . import arith
68 
69 # support infra
70 from . import support
71 
72 # Contrib initializers
73 from .contrib import rocm as _rocm, nvcc as _nvcc, sdaccel as _sdaccel
74 
75 
76 def tvm_wrap_excepthook(exception_hook):
77     """Wrap given excepthook with TVM additional work."""
78 
79     def wrapper(exctype, value, trbk):
80         """Clean subprocesses when TVM is interrupted."""
81         exception_hook(exctype, value, trbk)
82         if hasattr(multiprocessing, 'active_children'):
83             # pylint: disable=not-callable
84             for p in multiprocessing.active_children():
85                 p.terminate()
86 
87     return wrapper
88 
89 
90 sys.excepthook = tvm_wrap_excepthook(sys.excepthook)
91
```
--- 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/python/tvm/__init__.py b/python/tvm/__init__.py
--- a/python/tvm/__init__.py
+++ b/python/tvm/__init__.py
@@ -51,9 +51,6 @@
 # tvm.te
 from . import te
 
-# tvm.testing
-from . import testing
-
 # tvm.driver
 from .driver import build, lower

{"golden_diff": "diff --git a/python/tvm/__init__.py b/python/tvm/__init__.py\n--- a/python/tvm/__init__.py\n+++ b/python/tvm/__init__.py\n@@ -51,9 +51,6 @@\n # tvm.te\n from . import te\n \n-# tvm.testing\n-from . import testing\n-\n # tvm.driver\n from .driver import build, lower\n", "issue": "`import tvm` now requires pytest\nWith the merge of #6331, `import tvm` now requires pytest. I created this issue just to check whether this is something intentional or something that we want to fix.\r\n\r\nThe chain from `import tvm` to `import pytest` happens due to the `from .import testing` on `python/tvm/__init__.py`. There is nothing actually done with that import.\r\n\r\nhttps://github.com/apache/incubator-tvm/blob/a4ebb16ed76bfea4ce4eed7be7ea73d4a01027e2/python/tvm/__init__.py#L53-L56\r\n\r\nWithin `python/tvm/testing.py` then there is the `import pytest`. I was thinking that we might want to remove these lines from `__init__.py`, so that we don't load `tvm.testing` and will only import it when required. I'm happy to submit a PR removing those lines, in case there is an understanding that it makes sense.\r\n\r\ncc @tqchen \n", "before_files": [{"content": "# Licensed to the Apache Software Foundation (ASF) under one\n# or more contributor license agreements.  See the NOTICE file\n# distributed with this work for additional information\n# regarding copyright ownership.  The ASF licenses this file\n# to you under the Apache License, Version 2.0 (the\n# \"License\"); you may not use this file except in compliance\n# with the License.  You may obtain a copy of the License at\n#\n#   http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing,\n# software distributed under the License is distributed on an\n# \"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY\n# KIND, either express or implied.  See the License for the\n# specific language governing permissions and limitations\n# under the License.\n# pylint: disable=redefined-builtin, wildcard-import\n\"\"\"TVM: Open Deep Learning Compiler Stack.\"\"\"\nimport multiprocessing\nimport sys\nimport traceback\n\n# top-level alias\n# tvm._ffi\nfrom ._ffi.base import TVMError, __version__\nfrom ._ffi.runtime_ctypes import DataTypeCode, DataType\nfrom ._ffi import register_object, register_func, register_extension, get_global_func\n\n# top-level alias\n# tvm.runtime\nfrom .runtime.object import Object\nfrom .runtime.ndarray import context, cpu, gpu, opencl, cl, vulkan, metal, mtl\nfrom .runtime.ndarray import vpi, rocm, ext_dev, micro_dev, hexagon\nfrom .runtime import ndarray as nd\n\n# tvm.error\nfrom . import error\n\n# tvm.ir\nfrom .ir import IRModule\nfrom .ir import transform\nfrom .ir import container\nfrom . import ir\n\n# tvm.tir\nfrom . import tir\n\n# tvm.target\nfrom . import target\n\n# tvm.te\nfrom . import te\n\n# tvm.testing\nfrom . import testing\n\n# tvm.driver\nfrom .driver import build, lower\n\n# tvm.parser\nfrom . import parser\n\n# tvm tir hybrid script\nfrom . import hybrid\n\n# others\nfrom . import arith\n\n# support infra\nfrom . import support\n\n# Contrib initializers\nfrom .contrib import rocm as _rocm, nvcc as _nvcc, sdaccel as _sdaccel\n\n\ndef tvm_wrap_excepthook(exception_hook):\n    \"\"\"Wrap given excepthook with TVM additional work.\"\"\"\n\n    def wrapper(exctype, value, trbk):\n        \"\"\"Clean subprocesses when TVM is interrupted.\"\"\"\n        exception_hook(exctype, value, trbk)\n        if hasattr(multiprocessing, 'active_children'):\n            # pylint: disable=not-callable\n            for p in multiprocessing.active_children():\n                p.terminate()\n\n    return wrapper\n\n\nsys.excepthook = tvm_wrap_excepthook(sys.excepthook)\n", "path": "python/tvm/__init__.py"}], "after_files": [{"content": "# Licensed to the Apache Software Foundation (ASF) under one\n# or more contributor license agreements.  See the NOTICE file\n# distributed with this work for additional information\n# regarding copyright ownership.  The ASF licenses this file\n# to you under the Apache License, Version 2.0 (the\n# \"License\"); you may not use this file except in compliance\n# with the License.  You may obtain a copy of the License at\n#\n#   http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing,\n# software distributed under the License is distributed on an\n# \"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY\n# KIND, either express or implied.  See the License for the\n# specific language governing permissions and limitations\n# under the License.\n# pylint: disable=redefined-builtin, wildcard-import\n\"\"\"TVM: Open Deep Learning Compiler Stack.\"\"\"\nimport multiprocessing\nimport sys\nimport traceback\n\n# top-level alias\n# tvm._ffi\nfrom ._ffi.base import TVMError, __version__\nfrom ._ffi.runtime_ctypes import DataTypeCode, DataType\nfrom ._ffi import register_object, register_func, register_extension, get_global_func\n\n# top-level alias\n# tvm.runtime\nfrom .runtime.object import Object\nfrom .runtime.ndarray import context, cpu, gpu, opencl, cl, vulkan, metal, mtl\nfrom .runtime.ndarray import vpi, rocm, ext_dev, micro_dev, hexagon\nfrom .runtime import ndarray as nd\n\n# tvm.error\nfrom . import error\n\n# tvm.ir\nfrom .ir import IRModule\nfrom .ir import transform\nfrom .ir import container\nfrom . import ir\n\n# tvm.tir\nfrom . import tir\n\n# tvm.target\nfrom . import target\n\n# tvm.te\nfrom . import te\n\n# tvm.driver\nfrom .driver import build, lower\n\n# tvm.parser\nfrom . import parser\n\n# tvm tir hybrid script\nfrom . import hybrid\n\n# others\nfrom . import arith\n\n# support infra\nfrom . import support\n\n# Contrib initializers\nfrom .contrib import rocm as _rocm, nvcc as _nvcc, sdaccel as _sdaccel\n\n\ndef tvm_wrap_excepthook(exception_hook):\n    \"\"\"Wrap given excepthook with TVM additional work.\"\"\"\n\n    def wrapper(exctype, value, trbk):\n        \"\"\"Clean subprocesses when TVM is interrupted.\"\"\"\n        exception_hook(exctype, value, trbk)\n        if hasattr(multiprocessing, 'active_children'):\n            # pylint: disable=not-callable\n            for p in multiprocessing.active_children():\n                p.terminate()\n\n    return wrapper\n\n\nsys.excepthook = tvm_wrap_excepthook(sys.excepthook)\n", "path": "python/tvm/__init__.py"}]}