# Copyright 2025 The Scenic Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
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"""Main script for PolyViT project."""

from absl import flags
from clu import metric_writers
import jax
import jax.numpy as jnp
import ml_collections
from scenic import app
from scenic.projects.polyvit import model as polyvit_model
from scenic.projects.polyvit import train_utils as polyvit_train_utils
from scenic.projects.polyvit import trainer as polyvit_trainer

FLAGS = flags.FLAGS


def main(rng: jnp.ndarray, config: ml_collections.ConfigDict, workdir: str,
         writer: metric_writers.MetricWriter):
  """Main function for the PolyViT project."""
  # Build the loss_fn, metrics, and flax_model.
  model_cls = polyvit_model.PolyVitModel
  data_rng, rng = jax.random.split(rng)
  dataset_dict = polyvit_train_utils.get_datasets(
      config, data_rng, dataset_service_address=FLAGS.dataset_service_address)
  polyvit_trainer.train(
      rng=rng,
      config=config,
      model_cls=model_cls,
      dataset_dict=dataset_dict,
      workdir=workdir,
      writer=writer)


if __name__ == '__main__':
  app.run(main=main)