c13bb7ca77d34094593c2778ee77129514aff0ee,tf_agents/networks/encoding_network_test.py,EncodingNetworkTest,testCombinedFeatureColumnInput,#EncodingNetworkTest#,216
Before Change
specs[numeric_key] = tensor_spec.TensorSpec([state_dims], tf.int32)
expected_dim += state_dims
network = encoding_network.EncodingNetwork(
specs,
preprocessing_combiner=tf.keras.layers.DenseFeatures(columns.values()))
output, _ = network(tensors)
expected_shape = (batch_size, expected_dim)
self.assertEqual(expected_shape, output.shape)
After Change
specs[numeric_key] = tensor_spec.TensorSpec([state_dims], tf.int32)
expected_dim += state_dims
dense_features = tf.compat.v2.keras.layers.DenseFeatures(columns.values())
network = encoding_network.EncodingNetwork(
specs, preprocessing_combiner=dense_features)
output, _ = network(tensors)
expected_shape = (batch_size, expected_dim)
self.assertEqual(expected_shape, output.shape)
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 5
Instances
Project Name: tensorflow/agents
Commit Name: c13bb7ca77d34094593c2778ee77129514aff0ee
Time: 2019-07-31
Author: no-reply@google.com
File Name: tf_agents/networks/encoding_network_test.py
Class Name: EncodingNetworkTest
Method Name: testCombinedFeatureColumnInput
Project Name: tensorflow/agents
Commit Name: c13bb7ca77d34094593c2778ee77129514aff0ee
Time: 2019-07-31
Author: no-reply@google.com
File Name: tf_agents/networks/encoding_network_test.py
Class Name: EncodingNetworkTest
Method Name: testIndicatorFeatureColumnInput
Project Name: tensorflow/agents
Commit Name: c13bb7ca77d34094593c2778ee77129514aff0ee
Time: 2019-07-31
Author: no-reply@google.com
File Name: tf_agents/networks/encoding_network_test.py
Class Name: EncodingNetworkTest
Method Name: testNumericFeatureColumnInput