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36 lines
1.4 KiB
Python
36 lines
1.4 KiB
Python
# Copyright 2020 DeepMind Technologies Limited. All Rights Reserved.
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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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# http://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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# ==============================================================================
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"""Quick script to test that experiment can import and run."""
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import jax
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import jax.numpy as jnp
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from nfnets import experiment
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config = experiment.get_config()
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exp_config = config.experiment_kwargs.config
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exp_config.train_batch_size = 2
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exp_config.eval_batch_size = 2
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exp_config.lr = 0.1
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exp_config.fake_data = True
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exp_config.model_kwargs.width = 2
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print(exp_config.model_kwargs)
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xp = experiment.Experiment('train', exp_config, jax.random.PRNGKey(0))
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bcast = jax.pmap(lambda x: x)
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global_step = bcast(jnp.zeros(jax.local_device_count()))
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rng = bcast(jnp.stack([jax.random.PRNGKey(0)] * jax.local_device_count()))
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print('Taking a single experiment step for test purposes!')
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result = xp.step(global_step, rng)
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print(f'Step successfully taken, resulting metrics are {result}')
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