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2021-07-14 15:07:21 +00:00

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Python

# Copyright 2021 Deepmind Technologies Limited.
#
# 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.
"""Quick script to test that experiment can import and run."""
from absl import app
import jax
import jax.numpy as jnp
from jaxline import utils as jl_utils
from adversarial_robustness.jax import experiment
@jl_utils.disable_pmap_jit
def test_experiment(unused_argv):
"""Tests the main experiment."""
config = experiment.get_config()
exp_config = config.experiment_kwargs.config
exp_config.dry_run = True
exp_config.emulated_workers = 0
exp_config.training.batch_size = 2
exp_config.evaluation.batch_size = 2
exp_config.model.kwargs.depth = 10
exp_config.model.kwargs.width = 1
xp = experiment.Experiment('train', exp_config, jax.random.PRNGKey(0))
bcast = jax.pmap(lambda x: x)
global_step = bcast(jnp.zeros(jax.local_device_count()))
rng = bcast(jnp.stack([jax.random.PRNGKey(0)] * jax.local_device_count()))
print('Taking a single experiment step for test purposes!')
result = xp.step(global_step, rng)
print(f'Step successfully taken, resulting metrics are {result}')
if __name__ == '__main__':
app.run(test_experiment)