Embedding

    嵌入层(Embedding Layer)

    注：input中的id必须满足 0 =< id < size[0]，否则程序会抛异常退出。

    Variable

    1. import paddle.fluid as fluid
    2. import paddle.fluid.dygraph.base as base
    4. # 示例 1
    6. inp_word.shape  # [2, 3]
    7. dict_size = 20
    8. with fluid.dygraph.guard():
    9.     emb = fluid.dygraph.Embedding(
    10.         size=[dict_size, 32],
    11.         param_attr='emb.w',
    12.         is_sparse=False)
    13.     static_rlt3 = emb(base.to_variable(inp_word))
    14.     static_rlt3.shape  # [2, 3, 32]
    16. weight_data = np.random.random(size=(128, 100))  # numpy格式的词向量数据
    17. w_param_attrs = fluid.ParamAttr(
    18.     name="emb_weight",
    19.     learning_rate=0.5,
    20.     initializer=fluid.initializer.NumpyArrayInitializer(weight_data),
    21.     trainable=True)
    22. with fluid.dygraph.guard():
    23.     emb = fluid.dygraph.Embedding(
    24.         size=[128, 100],
    25.         param_attr= w_param_attrs,