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mnist_lib_test.py
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mnist_lib_test.py
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# Copyright 2020 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.
"""Tests for flax.examples.mnist.mnist_lib."""
import pathlib
import tempfile
from absl.testing import absltest
import jax
from jax import numpy as jnp
import tensorflow as tf
import tensorflow_datasets as tfds
from configs import default as config_lib
import mnist_lib
class MnistLibTest(absltest.TestCase):
"""Test cases for mnist_lib."""
def setUp(self):
super().setUp()
# Make sure tf does not allocate gpu memory.
tf.config.experimental.set_visible_devices([], 'GPU')
def test_cnn(self):
"""Tests CNN module used as the trainable model."""
rng = jax.random.PRNGKey(0)
output, init_params = mnist_lib.CNN.init_by_shape(
rng, [((5, 224, 224, 3), jnp.float32)])
self.assertEqual((5, 10), output.shape)
# TODO(mohitreddy): Consider creating a testing module which
# gives a parameters overview including number of parameters.
self.assertLen(init_params, 4)
def test_train_and_evaluate(self):
"""Runs a single train/eval step with mocked data."""
# Create a temporary directory where tensorboard metrics are written.
model_dir = 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'
# Define training configuration.
config = config_lib.get_config()
config.num_epochs = 1
config.batch_size = 8
with tfds.testing.mock_data(num_examples=8, data_dir=data_dir):
mnist_lib.train_and_evaluate(config=config, model_dir=model_dir)
if __name__ == '__main__':
absltest.main()