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train_test.py
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train_test.py
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# Copyright 2022 The Flax 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
# limitations under the License.
import pathlib
import tempfile
from absl import logging
from absl.testing import absltest
import jax
import tensorflow as tf
import tensorflow_datasets as tfds
from configs import default
import train
jax.config.update('jax_disable_most_optimizations', True)
class TrainTest(absltest.TestCase):
"""Test cases for WMT library."""
def setUp(self):
super().setUp()
tf.config.experimental.set_visible_devices([], 'GPU')
def test_train_and_evaluate(self):
config = default.get_config()
config.max_corpus_chars = 1000
config.vocab_size = 32
config.per_device_batch_size = 1
config.num_train_steps = 1
config.num_eval_steps = 1
config.num_predict_steps = 1
config.num_layers = 1
config.qkv_dim = 128
config.emb_dim = 128
config.mlp_dim = 512
config.num_heads = 2
config.max_target_length = 32
config.max_eval_target_length = 32
config.max_predict_length = 32
workdir = tempfile.mkdtemp()
# Go two directories up to the root of the flax directory.
flax_root_dir = pathlib.Path(__file__).parents[2]
data_dir = str(flax_root_dir) + '/.tfds/metadata' # pylint: disable=unused-variable
with tfds.testing.mock_data(num_examples=128, data_dir=data_dir):
train.train_and_evaluate(config, workdir)
logging.info('workdir content: %s', tf.io.gfile.listdir(workdir))
if __name__ == '__main__':
absltest.main()