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passing parameters into Dense Layer instead of into tf.keras.Sequential.add #272

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passing parameters into Dense Layer instead of into tf.keras.Sequential.add #272

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74599d9
passing kwargs into Layer class instead of model.add
Jun 24, 2021
9deef0f
format
Jun 24, 2021
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4 changes: 2 additions & 2 deletions tensorflow_ranking/python/keras/layers.py
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Original file line number Diff line number Diff line change
Expand Up @@ -68,13 +68,13 @@ def create_tower(hidden_layer_dims: List[int],
if input_batch_norm:
model.add(tf.keras.layers.BatchNormalization(momentum=batch_norm_moment))
for layer_width in hidden_layer_dims:
model.add(tf.keras.layers.Dense(units=layer_width), **kwargs)
model.add(tf.keras.layers.Dense(units=layer_width, **kwargs))
if use_batch_norm:
model.add(tf.keras.layers.BatchNormalization(momentum=batch_norm_moment))
model.add(tf.keras.layers.Activation(activation=activation))
if dropout:
model.add(tf.keras.layers.Dropout(rate=dropout))
model.add(tf.keras.layers.Dense(units=output_units), **kwargs)
model.add(tf.keras.layers.Dense(units=output_units, **kwargs))
return model


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