prompt: We are currently solving the following issue within our repository. Here is the issue text:
  --- BEGIN ISSUE ---
  Using torch backend
  Using PyTorch backend.
  Epoch 1/3
  32/32 ━━━━━━━━━━━━━━━━━━━━ 1s 4ms/step - mean_absolute_error: 0.4083 - loss: 0.2566
  Epoch 2/3
  32/32 ━━━━━━━━━━━━━━━━━━━━ 0s 4ms/step - mean_absolute_error: 0.3805 - loss: 0.2151
  Epoch 3/3
  32/32 ━━━━━━━━━━━━━━━━━━━━ 0s 4ms/step - mean_absolute_error: 0.3704 - loss: 0.2056
  Epoch 1/5
  32/32 ━━━━━━━━━━━━━━━━━━━━ 0s 4ms/step - loss: 0.2699 - mae: 0.4200
  Epoch 2/5
  32/32 ━━━━━━━━━━━━━━━━━━━━ 0s 4ms/step - loss: 0.2409 - mae: 0.3940
  Epoch 3/5
  32/32 ━━━━━━━━━━━━━━━━━━━━ 0s 4ms/step - loss: 0.2271 - mae: 0.3856
  Epoch 4/5
  32/32 ━━━━━━━━━━━━━━━━━━━━ 0s 4ms/step - loss: 0.2174 - mae: 0.3785
  Epoch 5/5
  32/32 ━━━━━━━━━━━━━━━━━━━━ 0s 4ms/step - loss: 0.2120 - mae: 0.3699
  Epoch 1/3
  32/32 ━━━━━━━━━━━━━━━━━━━━ 0s 4ms/step - mean_absolute_error: 0.7020 - loss: 0.3334
  Epoch 2/3
  32/32 ━━━━━━━━━━━━━━━━━━━━ 0s 4ms/step - mean_absolute_error: 0.4075 - loss: 0.1271
  Epoch 3/3
  32/32 ━━━━━━━━━━━━━━━━━━━━ 0s 4ms/step - mean_absolute_error: 0.3776 - loss: 0.1010
  32/32 ━━━━━━━━━━━━━━━━━━━━ 0s 2ms/step - mean_absolute_error: 0.8608 - loss: 0.9672
  Traceback (most recent call last):
    File "E:\custom_train_step_in_torch.py", line 483, in <module>
      gan.fit(dataloader, epochs=1)
    File "C:\Python_310\lib\site-packages\keras_core\src\utils\traceback_utils.py", line 123, in error_handler
      raise e.with_traceback(filtered_tb) from None
    File "C:\Python_310\lib\site-packages\keras_core\src\utils\module_utils.py", line 26, in initialize
      raise ImportError(
  ImportError: This requires the tensorflow module. You can install it via `pip install tensorflow`
  
  --- END ISSUE ---
  
  Below are some code segments, each from a relevant file. One or more of these files may contain bugs.
  --- BEGIN FILES ---
  Path: `keras_core/utils/module_utils.py`
  Content:
  ```
  1 import importlib
  2 
  3 
  4 class LazyModule:
  5     def __init__(self, name, pip_name=None):
  6         self.name = name
  7         pip_name = pip_name or name
  8         self.pip_name = pip_name
  9         self.module = None
  10         self._available = None
  11 
  12     @property
  13     def available(self):
  14         if self._available is None:
  15             try:
  16                 self.initialize()
  17             except ImportError:
  18                 self._available = False
  19             self._available = True
  20         return self._available
  21 
  22     def initialize(self):
  23         try:
  24             self.module = importlib.import_module(self.name)
  25         except ImportError:
  26             raise ImportError(
  27                 f"This requires the {self.name} module. "
  28                 f"You can install it via `pip install {self.pip_name}`"
  29             )
  30 
  31     def __getattr__(self, name):
  32         if self.module is None:
  33             self.initialize()
  34         return getattr(self.module, name)
  35 
  36 
  37 tensorflow = LazyModule("tensorflow")
  38 gfile = LazyModule("tensorflow.io.gfile")
  39
  ```
  --- 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()
  
  ```
  
golden_diff: diff --git a/keras_core/utils/module_utils.py b/keras_core/utils/module_utils.py
  --- a/keras_core/utils/module_utils.py
  +++ b/keras_core/utils/module_utils.py
  @@ -14,9 +14,9 @@
           if self._available is None:
               try:
                   self.initialize()
  +                self._available = True
               except ImportError:
                   self._available = False
  -            self._available = True
           return self._available
   
       def initialize(self):
  
verification_info: {"golden_diff": "diff --git a/keras_core/utils/module_utils.py b/keras_core/utils/module_utils.py\n--- a/keras_core/utils/module_utils.py\n+++ b/keras_core/utils/module_utils.py\n@@ -14,9 +14,9 @@\n         if self._available is None:\n             try:\n                 self.initialize()\n+                self._available = True\n             except ImportError:\n                 self._available = False\n-            self._available = True\n         return self._available\n \n     def initialize(self):\n", "issue": "Using torch backend\nUsing PyTorch backend.\r\nEpoch 1/3\r\n32/32 \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 1s 4ms/step - mean_absolute_error: 0.4083 - loss: 0.2566\r\nEpoch 2/3\r\n32/32 \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 0s 4ms/step - mean_absolute_error: 0.3805 - loss: 0.2151\r\nEpoch 3/3\r\n32/32 \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 0s 4ms/step - mean_absolute_error: 0.3704 - loss: 0.2056\r\nEpoch 1/5\r\n32/32 \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 0s 4ms/step - loss: 0.2699 - mae: 0.4200\r\nEpoch 2/5\r\n32/32 \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 0s 4ms/step - loss: 0.2409 - mae: 0.3940\r\nEpoch 3/5\r\n32/32 \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 0s 4ms/step - loss: 0.2271 - mae: 0.3856\r\nEpoch 4/5\r\n32/32 \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 0s 4ms/step - loss: 0.2174 - mae: 0.3785\r\nEpoch 5/5\r\n32/32 \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 0s 4ms/step - loss: 0.2120 - mae: 0.3699\r\nEpoch 1/3\r\n32/32 \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 0s 4ms/step - mean_absolute_error: 0.7020 - loss: 0.3334\r\nEpoch 2/3\r\n32/32 \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 0s 4ms/step - mean_absolute_error: 0.4075 - loss: 0.1271\r\nEpoch 3/3\r\n32/32 \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 0s 4ms/step - mean_absolute_error: 0.3776 - loss: 0.1010\r\n32/32 \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 0s 2ms/step - mean_absolute_error: 0.8608 - loss: 0.9672\r\nTraceback (most recent call last):\r\n  File \"E:\\custom_train_step_in_torch.py\", line 483, in <module>\r\n    gan.fit(dataloader, epochs=1)\r\n  File \"C:\\Python_310\\lib\\site-packages\\keras_core\\src\\utils\\traceback_utils.py\", line 123, in error_handler\r\n    raise e.with_traceback(filtered_tb) from None\r\n  File \"C:\\Python_310\\lib\\site-packages\\keras_core\\src\\utils\\module_utils.py\", line 26, in initialize\r\n    raise ImportError(\r\nImportError: This requires the tensorflow module. You can install it via `pip install tensorflow`\n", "before_files": [{"content": "import importlib\n\n\nclass LazyModule:\n    def __init__(self, name, pip_name=None):\n        self.name = name\n        pip_name = pip_name or name\n        self.pip_name = pip_name\n        self.module = None\n        self._available = None\n\n    @property\n    def available(self):\n        if self._available is None:\n            try:\n                self.initialize()\n            except ImportError:\n                self._available = False\n            self._available = True\n        return self._available\n\n    def initialize(self):\n        try:\n            self.module = importlib.import_module(self.name)\n        except ImportError:\n            raise ImportError(\n                f\"This requires the {self.name} module. \"\n                f\"You can install it via `pip install {self.pip_name}`\"\n            )\n\n    def __getattr__(self, name):\n        if self.module is None:\n            self.initialize()\n        return getattr(self.module, name)\n\n\ntensorflow = LazyModule(\"tensorflow\")\ngfile = LazyModule(\"tensorflow.io.gfile\")\n", "path": "keras_core/utils/module_utils.py"}], "after_files": [{"content": "import importlib\n\n\nclass LazyModule:\n    def __init__(self, name, pip_name=None):\n        self.name = name\n        pip_name = pip_name or name\n        self.pip_name = pip_name\n        self.module = None\n        self._available = None\n\n    @property\n    def available(self):\n        if self._available is None:\n            try:\n                self.initialize()\n                self._available = True\n            except ImportError:\n                self._available = False\n        return self._available\n\n    def initialize(self):\n        try:\n            self.module = importlib.import_module(self.name)\n        except ImportError:\n            raise ImportError(\n                f\"This requires the {self.name} module. \"\n                f\"You can install it via `pip install {self.pip_name}`\"\n            )\n\n    def __getattr__(self, name):\n        if self.module is None:\n            self.initialize()\n        return getattr(self.module, name)\n\n\ntensorflow = LazyModule(\"tensorflow\")\ngfile = LazyModule(\"tensorflow.io.gfile\")\n", "path": "keras_core/utils/module_utils.py"}]}