[WIP] Handling wrong checkpoint

[SamuelLarkin]

PR Goal?

Fixes?

263

Feedback sought?

Priority?

Tests added?

How to test?

python -m unittest \
  everyvoice.tests.test_model.TestLoadingModel.test_model_is_not_a_feature_prediction \
  everyvoice.tests.test_model.TestLoadingModel.test_model_is_not_a_vocoder

Confidence?

Version change?

Related PRs?

https://github.com/EveryVoiceTTS/FastSpeech2_lightning/pull/90 https://github.com/EveryVoiceTTS/HiFiGAN_iSTFT_lightning/pull/35 https://github.com/EveryVoiceTTS/DeepForcedAligner/pull/24

[semanticdiff-com[bot]]

Review changes with SemanticDiff.

Analyzed 4 of 4 files.

	Filename	Status
:heavy_check_mark:	everyvoice/tests/test_model.py	Analyzed
:heavy_check_mark:	everyvoice/model/vocoder/HiFiGAN_iSTFT_lightning	Analyzed
:heavy_check_mark:	everyvoice/model/feature_prediction/FastSpeech2_lightning	Analyzed
:heavy_check_mark:	everyvoice/model/aligner/DeepForcedAligner	Analyzed