Created by: richlaji

我看到paddle实现双向GRU的方式是：

    fc_1 = fluid.layers.fc(input=x,
                           size=rnn_hidden_size * 3,
                           param_attr=para_attr,
                           bias_attr=bias_attr_nobias)
    fc_2 = fluid.layers.fc(input=x,
                           size=rnn_hidden_size * 3,
                           param_attr=para_attr,
                           bias_attr=bias_attr_nobias)
    gru_forward = fluid.layers.dynamic_gru(
        input=fc_1,
        size=rnn_hidden_size,
        param_attr=para_attr,
        bias_attr=bias_attr,
        candidate_activation='relu')
    gru_backward = fluid.layers.dynamic_gru(
        input=fc_2,
        size=rnn_hidden_size,
        is_reverse=True,
        param_attr=para_attr,
        bias_attr=bias_attr,
        candidate_activation='relu')

那对于单向的Pytorch上的代码是：

model = nn.GRU(10, 20, 2)
input = torch.randn(5, 3, 10)
#h0 = torch.zeros(2, 3, 20)
yp = model(input)
torch.onnx.export(model, input, 'gru.onnx',verbose=True)

转后的onnx模型是 链接：https://pan.baidu.com/s/1NtYNN5DSALo-tLrGFDlGxA 提取码：897a

想问一下目前develop分支能否支持单向GRU