def test_keras_import(self):
# Conv 1D
model = Sequential()
model.add(LocallyConnected1D(32, 3, kernel_regularizer=regularizers.l2(0.01),
bias_regularizer=regularizers.l2(0.01),
activity_regularizer=regularizers.l2(0.01), kernel_constraint='max_norm',
bias_constraint='max_norm', activation='relu', input_shape=(10, 16)))
model.build()
self.keras_param_test(model, 1, 12)
# Conv 2D
model = Sequential()
model.add(LocallyConnected2D(32, (3, 3), kernel_regularizer=regularizers.l2(0.01),
bias_regularizer=regularizers.l2(0.01),
activity_regularizer=regularizers.l2(0.01), kernel_constraint='max_norm',
bias_constraint='max_norm', activation='relu', input_shape=(10, 16, 16)))
model.build()
self.keras_param_test(model, 1, 14)
# ********** Recurrent Layers **********
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