| # coding=utf-8 |
| # Copyright 2020 Google LLC |
| # |
| # 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. |
| |
| """Tests for compiler_opt.rl.constant_value_network.""" |
| |
| import tensorflow as tf |
| |
| from tf_agents.specs import tensor_spec |
| |
| from compiler_opt.rl import constant_value_network |
| |
| |
| class ConstantValueNetworkTest(tf.test.TestCase): |
| |
| def testBuilds(self): |
| observation_spec = tensor_spec.BoundedTensorSpec((8, 8, 3), tf.float32, 0, |
| 1) |
| observation = tensor_spec.sample_spec_nest( |
| observation_spec, outer_dims=(1,)) |
| |
| net = constant_value_network.ConstantValueNetwork( |
| input_tensor_spec=observation_spec, constant_output_val=0) |
| |
| value, _ = net(observation) |
| self.assertAllEqual([0.], value) |
| |
| def testHandlesExtraOuterDims(self): |
| observation_spec = tensor_spec.BoundedTensorSpec((8, 8, 3), tf.float32, 0, |
| 1) |
| observation = tensor_spec.sample_spec_nest( |
| observation_spec, outer_dims=(2, 2)) |
| |
| net = constant_value_network.ConstantValueNetwork( |
| input_tensor_spec=observation_spec, constant_output_val=1) |
| |
| value, _ = net(observation) |
| self.assertAllEqual([[1., 1.], [1., 1.]], value) |
| |
| |
| if __name__ == '__main__': |
| tf.test.main() |