TracerPythonScript calling run with same args multiple times even when cache_calls=True

[rohitgr7]

🐛 Bug

To Reproduce

import lightning as L
from lightning.app.components.python.tracer import TracerPythonScript


class ScriptRunner(TracerPythonScript):
    def __init__(self, script_path):
        super().__init__(script_path=script_path, cache_calls=True, parallel=False)

    def run(self, script_path, **kwargs):
        self.script_path = script_path
        super().run()


class Text2ImgFlow(L.LightningFlow):
    def __init__(self):
        super().__init__()
        self.script_runner = ScriptRunner('')

    def run(self):
        self.script_runner.run('scripts/test/a.py')
        self.script_runner.run('scripts/test/b.py')
        print('done..........')


class RootFlow(L.LightningFlow):
    def __init__(self):
        super().__init__()
        self.text2img = Text2ImgFlow()

    def run(self):
        self.text2img.run()

app = L.LightningApp(RootFlow())

Current output:

script a is running
script b is running
done...
done...
script a is running
script b is running
done...
done...
script a is running
script b is running
done...
done...
...

Since tracer is a LightningWork, with cache_calls=True it should not run the script again.
Expected:

script a is running
script b is running
done...
done...
done...
done...
...

Expected behavior

Environment

• Lightning Component (e.g. Trainer, LightningModule, LightningApp, LightningWork, LightningFlow):
• PyTorch Lightning Version (e.g., 1.5.0):
• Lightning App Version (e.g., 0.5.2): master
• PyTorch Version (e.g., 1.10):
• Python version (e.g., 3.9):
• OS (e.g., Linux):
• CUDA/cuDNN version:
• GPU models and configuration:
• How you installed PyTorch (conda, pip, source):
• If compiling from source, the output of torch.__config__.show():
• Running environment of LightningApp (e.g. local, cloud): local
• Any other relevant information:

Additional context

[stale]

This issue has been automatically marked as stale because it hasn't had any recent activity. This issue will be closed in 7 days if no further activity occurs. Thank you for your contributions, PyTorch Lightning Team!