Remove result serialization (under fault tolerance)

[carmocca]

What does this PR do?

Fault-tolerance is composed of several items:

1. Automatic DataLoader state serialization
2. Manual DataLoader state serialization
3. Metrics/Logging results state
4. Sigterm handling to signal to terminate gracefully
5. Save a checkpoint when it is signaled to terminate gracefully

This PR removes (3). This might re-land in the future depending on future logging changes.

Requires #16512 to be merged first.

Does your PR introduce any breaking changes? If yes, please list them.

Removes support for serializing the logged results under the PL_FAULT_TOLERANCE_TRAINING environment variable

cc @Borda @justusschock @awaelchli @carmocca

[github-actions]

⚡ Required checks status: All passing 🟢

Groups summary

🟢 pytorch_lightning: Tests workflow

Check ID	Status
pl-cpu (macOS-11, pytorch, 3.8, 1.11)	success	✅
pl-cpu (macOS-11, pytorch, 3.9, 1.12)	success	✅
pl-cpu (macOS-11, pytorch, 3.10, 1.13)	success	✅
pl-cpu (macOS-11, pytorch, 3.8, 1.10, oldest)	success	✅
pl-cpu (ubuntu-20.04, pytorch, 3.8, 1.10)	success	✅
pl-cpu (ubuntu-20.04, pytorch, 3.9, 1.11)	success	✅
pl-cpu (ubuntu-20.04, pytorch, 3.10, 1.12)	success	✅
pl-cpu (ubuntu-20.04, pytorch, 3.10, 1.13)	success	✅
pl-cpu (ubuntu-20.04, pytorch, 3.7, 1.10, oldest)	success	✅
pl-cpu (windows-2022, pytorch, 3.9, 1.11)	success	✅
pl-cpu (windows-2022, pytorch, 3.10, 1.12)	success	✅
pl-cpu (windows-2022, pytorch, 3.10, 1.13)	success	✅
pl-cpu (windows-2022, pytorch, 3.7, 1.10, oldest)	success	✅
pl-cpu (slow, macOS-11, pytorch, 3.7, 1.11)	success	✅
pl-cpu (slow, ubuntu-20.04, pytorch, 3.7, 1.11)	success	✅
pl-cpu (slow, windows-2022, pytorch, 3.7, 1.11)	success	✅
pl-cpu (macOS-11, lightning, 3.8, 1.13)	success	✅
pl-cpu (ubuntu-20.04, lightning, 3.8, 1.13)	success	✅
pl-cpu (windows-2022, lightning, 3.8, 1.13)	success	✅

These checks are required after the changes to src/pytorch_lightning/loops/loop.py, src/pytorch_lightning/trainer/connectors/checkpoint_connector.py, src/pytorch_lightning/trainer/connectors/logger_connector/result.py, tests/tests_pytorch/core/test_metric_result_integration.py, tests/tests_pytorch/loops/test_loop_state_dict.py, tests/tests_pytorch/loops/test_loops.py.

🟢 pytorch_lightning: Azure GPU

Check ID	Status
pytorch-lightning (GPUs)	success	✅

These checks are required after the changes to src/pytorch_lightning/loops/loop.py, src/pytorch_lightning/trainer/connectors/checkpoint_connector.py, src/pytorch_lightning/trainer/connectors/logger_connector/result.py, tests/tests_pytorch/core/test_metric_result_integration.py, tests/tests_pytorch/loops/test_loop_state_dict.py, tests/tests_pytorch/loops/test_loops.py.

🟢 pytorch_lightning: Azure HPU

Check ID	Status
pytorch-lightning (HPUs)	success	✅

These checks are required after the changes to src/pytorch_lightning/loops/loop.py, src/pytorch_lightning/trainer/connectors/checkpoint_connector.py, src/pytorch_lightning/trainer/connectors/logger_connector/result.py, tests/tests_pytorch/core/test_metric_result_integration.py, tests/tests_pytorch/loops/test_loop_state_dict.py, tests/tests_pytorch/loops/test_loops.py.

🟢 pytorch_lightning: Azure IPU

Check ID	Status
pytorch-lightning (IPUs)	success	✅

These checks are required after the changes to src/pytorch_lightning/loops/loop.py, src/pytorch_lightning/trainer/connectors/checkpoint_connector.py, src/pytorch_lightning/trainer/connectors/logger_connector/result.py, tests/tests_pytorch/core/test_metric_result_integration.py, tests/tests_pytorch/loops/test_loop_state_dict.py, tests/tests_pytorch/loops/test_loops.py.

🟢 pytorch_lightning: Docs

Check ID	Status
make-doctest (pytorch)	success	✅
make-html (pytorch)	success	✅

These checks are required after the changes to src/pytorch_lightning/loops/loop.py, src/pytorch_lightning/trainer/connectors/checkpoint_connector.py, src/pytorch_lightning/trainer/connectors/logger_connector/result.py.

🟢 mypy

Check ID	Status
mypy	success	✅

These checks are required after the changes to src/pytorch_lightning/loops/loop.py, src/pytorch_lightning/trainer/connectors/checkpoint_connector.py, src/pytorch_lightning/trainer/connectors/logger_connector/result.py.

🟢 install

Check ID	Status
install-pkg (ubuntu-22.04, app, 3.7)	success	✅
install-pkg (ubuntu-22.04, app, 3.10)	success	✅
install-pkg (ubuntu-22.04, fabric, 3.7)	success	✅
install-pkg (ubuntu-22.04, fabric, 3.10)	success	✅
install-pkg (ubuntu-22.04, pytorch, 3.7)	success	✅
install-pkg (ubuntu-22.04, pytorch, 3.10)	success	✅
install-pkg (ubuntu-22.04, lightning, 3.7)	success	✅
install-pkg (ubuntu-22.04, lightning, 3.10)	success	✅
install-pkg (ubuntu-22.04, notset, 3.7)	success	✅
install-pkg (ubuntu-22.04, notset, 3.10)	success	✅
install-pkg (macOS-12, app, 3.7)	success	✅
install-pkg (macOS-12, app, 3.10)	success	✅
install-pkg (macOS-12, fabric, 3.7)	success	✅
install-pkg (macOS-12, fabric, 3.10)	success	✅
install-pkg (macOS-12, pytorch, 3.7)	success	✅
install-pkg (macOS-12, pytorch, 3.10)	success	✅
install-pkg (macOS-12, lightning, 3.7)	success	✅
install-pkg (macOS-12, lightning, 3.10)	success	✅
install-pkg (macOS-12, notset, 3.7)	success	✅
install-pkg (macOS-12, notset, 3.10)	success	✅
install-pkg (windows-2022, app, 3.7)	success	✅
install-pkg (windows-2022, app, 3.10)	success	✅
install-pkg (windows-2022, fabric, 3.7)	success	✅
install-pkg (windows-2022, fabric, 3.10)	success	✅
install-pkg (windows-2022, pytorch, 3.7)	success	✅
install-pkg (windows-2022, pytorch, 3.10)	success	✅
install-pkg (windows-2022, lightning, 3.7)	success	✅
install-pkg (windows-2022, lightning, 3.10)	success	✅
install-pkg (windows-2022, notset, 3.7)	success	✅
install-pkg (windows-2022, notset, 3.10)	success	✅

These checks are required after the changes to src/pytorch_lightning/loops/loop.py, src/pytorch_lightning/trainer/connectors/checkpoint_connector.py, src/pytorch_lightning/trainer/connectors/logger_connector/result.py.

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