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https://github.com/google-deepmind/deepmind-research.git
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Alistair Muldal
d4a9a684cb
* Restrict the number of training steps to 2k so that the test finishes faster * General cleanup of flags PiperOrigin-RevId: 368228930
28 lines
964 B
Bash
Executable File
28 lines
964 B
Bash
Executable File
#!/bin/sh
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# Copyright 2020 DeepMind Technologies Limited.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# https://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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set -e
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python3 -m venv /tmp/gln_venv
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source /tmp/gln_venv/bin/activate
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pip3 install --upgrade pip setuptools wheel
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pip3 install -r gated_linear_networks/requirements.txt
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# Run MNIST example with Bernoulli GLN
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python3 -m gated_linear_networks.examples.bernoulli_mnist \
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--num_layers=2 \
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--neurons_per_layer=100 \
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--context_dim=1 \
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--max_train_steps=2000
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