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Sven Gowal 5909da5388 Added jaxline pipeline to train adversarially robust models.
PiperOrigin-RevId: 383399487
2021-07-14 15:07:21 +00:00

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#!/bin/sh
# Copyright 2020 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.
set -euf -o pipefail # Stop at failure.
python3 -m venv /tmp/adversarial_robustness_venv
source /tmp/adversarial_robustness_venv/bin/activate
pip install -U pip
pip install -r adversarial_robustness/requirements.txt
python3 -m adversarial_robustness.jax.eval \
--ckpt=dummy \
--dataset=cifar10 \
--width=1 \
--depth=10 \
--batch_size=1 \
--num_batches=1
python3 -m adversarial_robustness.pytorch.eval \
--ckpt=dummy \
--dataset=cifar10 \
--width=1 \
--depth=10 \
--batch_size=1 \
--num_batches=1 \
--nouse_cuda
# We disable pmap/jit to avoid compilation during testing. Since the
# test only runs a single step, it would not benefit from such a compilation
# anyways.
python3 -m adversarial_robustness.jax.experiment_test \
--jaxline_disable_pmap_jit=True