本文整理汇总了Python中keras.layers.Dense.get_output_shape_at方法的典型用法代码示例。如果您正苦于以下问题：Python Dense.get_output_shape_at方法的具体用法？Python Dense.get_output_shape_at怎么用？Python Dense.get_output_shape_at使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类keras.layers.Dense的用法示例。
在下文中一共展示了Dense.get_output_shape_at方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: test_node_construction
# 需要导入模块: from keras.layers import Dense [as 别名]
# 或者: from keras.layers.Dense import get_output_shape_at [as 别名]
def test_node_construction():
####################################################
# test basics
a = Input(shape=(32,), name='input_a')
b = Input(shape=(32,), name='input_b')
assert a._keras_shape == (None, 32)
a_layer, a_node_index, a_tensor_index = a._keras_history
b_layer, b_node_index, b_tensor_index = b._keras_history
assert len(a_layer._inbound_nodes) == 1
assert a_tensor_index is 0
node = a_layer._inbound_nodes[a_node_index]
assert node.outbound_layer == a_layer
assert isinstance(node.inbound_layers, list)
assert node.inbound_layers == []
assert isinstance(node.input_tensors, list)
assert node.input_tensors == [a]
assert isinstance(node.input_masks, list)
assert node.input_masks == [None]
assert isinstance(node.input_shapes, list)
assert node.input_shapes == [(None, 32)]
assert isinstance(node.output_tensors, list)
assert node.output_tensors == [a]
assert isinstance(node.output_shapes, list)
assert node.output_shapes == [(None, 32)]
assert isinstance(node.output_masks, list)
assert node.output_masks == [None]
dense = Dense(16, name='dense_1')
a_2 = dense(a)
b_2 = dense(b)
assert len(dense._inbound_nodes) == 2
assert len(dense._outbound_nodes) == 0
assert dense._inbound_nodes[0].inbound_layers == [a_layer]
assert dense._inbound_nodes[0].outbound_layer == dense
assert dense._inbound_nodes[1].inbound_layers == [b_layer]
assert dense._inbound_nodes[1].outbound_layer == dense
assert dense._inbound_nodes[0].input_tensors == [a]
assert dense._inbound_nodes[1].input_tensors == [b]
assert dense._inbound_nodes[0].get_config()['inbound_layers'] == ['input_a']
assert dense._inbound_nodes[1].get_config()['inbound_layers'] == ['input_b']
# test layer properties
test_layer = Dense(16, name='test_layer')
a_test = test_layer(a)
assert K.int_shape(test_layer.kernel) == (32, 16)
assert test_layer.input == a
assert test_layer.output == a_test
assert test_layer.input_mask is None
assert test_layer.output_mask is None
assert test_layer.input_shape == (None, 32)
assert test_layer.output_shape == (None, 16)
with pytest.raises(AttributeError):
dense.input
with pytest.raises(AttributeError):
dense.output
with pytest.raises(AttributeError):
dense.input_mask
with pytest.raises(AttributeError):
dense.output_mask
assert dense.get_input_at(0) == a
assert dense.get_input_at(1) == b
assert dense.get_output_at(0) == a_2
assert dense.get_output_at(1) == b_2
assert dense.get_input_shape_at(0) == (None, 32)
assert dense.get_input_shape_at(1) == (None, 32)
assert dense.get_output_shape_at(0) == (None, 16)
assert dense.get_output_shape_at(1) == (None, 16)
assert dense.get_input_mask_at(0) is None
assert dense.get_input_mask_at(1) is None
assert dense.get_output_mask_at(0) is None
assert dense.get_output_mask_at(1) is None