Created by: ARDUJS

环境

• paddle: 1.7.2
• python: 3.7.5

报错截图

报错处代码

# pad_feature.shape,    batch_size * 256 * 128
def lstm_decode(pad_feature):
    print("pad_feature", pad_feature.shape)
    max_sequence_len = pad_feature.shape[1]
    batch_size = pad_feature.shape[0]
    # w_param_attrs = fluid.ParamAttr(name="label_embedding", learning_rate=0.95, trainable=True)
    
    # b = np.full((batch_size, 1), class_num)
    # t = fluid.Tensor()
    # b = t.set(b, fluid.CPUPlace()).astype('int64')
    ans = []

    T = layers.fill_constant( [batch_size, 128], 'float32', 0.0 )
    h = layers.fill_constant( [batch_size, 128], 'float32', 0.0 )
    c = layers.fill_constant( [batch_size, 128], 'float32', 0.0 )
    # layers.Print(x)
    layers.Print(h)
    layers.Print(c)
    for i in range(max_sequence_len):
        x = pad_feature[:, i, :]    ## 当前token的表示 32*128
        x = layers.concat([x, T], axis=-1)
        (h, c) = layers.lstm_unit(x, hidden_t_prev = h, cell_t_prev = c)
        T = layers.fc(h, size = char_size)
        y = layers.fc(T, size = class_num)
        y = layers.unsqueeze(input=y, axes=[1])
        ans.append(y)
    # print("Y", y)
    ans = layers.concat(ans, 1)  ## 32 * max_len * 108
    layers.Print(ans)
    # print(ans.shape)
    return ans

求大佬，help，help， 这错误大概是什么原因