google-research

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# coding=utf-8
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# Copyright 2024 The Google Research Authors.
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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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"""Tests for task_set.variable_replace."""
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import sonnet as snt
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from task_set import variable_replace
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import tensorflow.compat.v1 as tf
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class VaraibleReplaceTest(tf.test.TestCase):
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  def test_variable_replace_getter(self):
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    with self.test_session() as sess:
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      context = variable_replace.VariableReplaceGetter()
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      mod = snt.Linear(1, custom_getter=context)
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      inp_data = tf.ones([10, 1])
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      with context.use_variables():
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        y1 = mod(inp_data)
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        sess.run(tf.initialize_all_variables())
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        np_y1 = sess.run(y1)
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      values = context.get_variable_dict()
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      new_values = {k: v + 1 for k, v in values.items()}
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      with context.use_value_dict(new_values):
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        np_y2 = mod(inp_data).eval()
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      self.assertNear((np_y2 - np_y1)[0], 2, 1e-8)
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      for v in values.values():
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        v.assign(v + 1).eval()
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      with context.use_variables():
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        np_y3 = mod(inp_data).eval()
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        self.assertNear((np_y3 - np_y2)[0], 0, 1e-8)
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if __name__ == '__main__':
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  tf.test.main()
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