Hi! I’m trying to convert two models from TensorSpeech/TensorflowTTS into tensorflow.js, but the expected input dimensions seem to be set to a specific number instead of being allowed to vary. E.g. I expect the input shape for my mel spectrogram generator to be [-1, -1], but tensorflowjs_wizard converts it to [-1, 10], which only lets me input exactly 10 phonemes. The output of this spectrogram generator is a different size than the conversion wizard makes the vocoder model accept. Is there a setting in the wizard or in tensorflow.js I am overlooking?
TensorflowTTS: GitHub - TensorSpeech/TensorFlowTTS: TensorFlowTTS: Real-Time State-of-the-art Speech Synthesis for Tensorflow 2 (supported including English, Korean, Chinese, German and Easy to adapt for other languages) 5
I am using this notebook: Google Colaboratory 2 simply running fastspeech2.save and mb_melgan.save to export the spectrogram and vocoder models respectively, then using tensorflowjs_wizard to convert them to tensorflow.js models. The exact JS error I am getting is this (when trying to pass 14 phonemes to the spectrogram model instead of 10)
Error: The shape of dict['input_1'] provided in model.execute(dict) must be [-1,10], but was [1,14]

My code: hastebin