src/convert_flax_to_tf.py

import torch
import numpy as np

import jax
import jax.numpy as jnp

from transformers import AutoTokenizer
from transformers import GPT2LMHeadModel
from transformers import TFGPT2LMHeadModel

tokenizer = AutoTokenizer.from_pretrained("../")
tokenizer.pad_token = tokenizer.eos_token

model_pt = GPT2LMHeadModel.from_pretrained("./pt")
model_tf = TFGPT2LMHeadModel.from_pretrained("./pt", from_pt=True)
model_tf.save_pretrained("./tf")

input_ids = np.asarray(2 * [128 * [0]], dtype=np.int32)
input_ids_pt = torch.tensor(input_ids)

logits_pt = model_pt(input_ids_pt).logits
print(logits_pt)
logits_tf = model_tf(input_ids).logits
print(logits_tf)