#!/usr/bin/env python
import tempfile
import jax
from jax import numpy as jnp
from transformers import AutoTokenizer, FlaxRobertaForMaskedLM, RobertaForMaskedLM, FlaxBertForMaskedLM, BertForMaskedLM


def main():
    # Saving extra files from config.json and tokenizer.json files
    tokenizer = AutoTokenizer.from_pretrained("bert-base-multilingual-cased")
    tokenizer.save_pretrained("./")
    # Temporary saving bfloat16 Flax model into float32
    tmp = tempfile.mkdtemp()
    #flax_model = FlaxRobertaForMaskedLM.from_pretrained("./")
    flax_model = FlaxBertForMaskedLM.from_pretrained("./")
    flax_model.save_pretrained(tmp)
    # Converting float32 Flax to PyTorch
    #model = RobertaForMaskedLM.from_pretrained(tmp, from_flax=True)
    model = BertForMaskedLM.from_pretrained(tmp, from_flax=True)
    model.save_pretrained("./", save_config=False)


if __name__ == "__main__":
    main()