def test_conv_get_config_has_all_attributes():
block = blocks.ConvBlock()
config = block.get_config()
assert utils.get_func_args(
blocks.ConvBlock.__init__).issubset(config.keys())
def test_conv_build_return_tensor():
block = blocks.ConvBlock()
outputs = block.build(kerastuner.HyperParameters(),
tf.keras.Input(shape=(32, 32, 3), dtype=tf.float32))
assert len(nest.flatten(outputs)) == 1
assert isinstance(nest.flatten(outputs)[0], tf.Tensor)
def test_conv_build_with_dropout_return_tensor():
block = blocks.ConvBlock(dropout=0.5)
outputs = block.build(
keras_tuner.HyperParameters(),
tf.keras.Input(shape=(32, 32, 3), dtype=tf.float32),
)
assert len(nest.flatten(outputs)) == 1
def test_conv_with_small_image_size_return_tensor():
block = blocks.ConvBlock()
outputs = block.build(
keras_tuner.HyperParameters(),
tf.keras.Input(shape=(10, 10, 3), dtype=tf.float32),
)
assert len(nest.flatten(outputs)) == 1
def test_conv_deserialize_to_conv():
serialized_block = blocks.serialize(blocks.ConvBlock())
block = blocks.deserialize(serialized_block)
assert isinstance(block, blocks.ConvBlock)
