shen1994 / chatrobot Goto Github PK

There is something looks strange... 0.0
In what i download, engine.py 's 837 and 842 is

def _get_optional_input_placeholder(self, name=None, num=1):
        if name:
            if name not in self._optional_input_placeholders:
                if num > 1:
                    self._optional_input_placeholders[name] = [self._get_optional_input_placeholder() for _ in range(num)]
                else:
                    self._optional_input_placeholders[name] = self._get_optional_input_placeholder()
            return self._optional_input_placeholders[name]
        if num == 1:
            **optional_input_placeholder = _to_list(_OptionalInputPlaceHolder()._inbound_nodes[0].output_tensors)[0]**
            assert self._is_optional_input_placeholder(optional_input_placeholder)
            return optional_input_placeholder
        else:
            y = []
            for _ in range(num):
                **optional_input_placeholder = _to_list(_OptionalInputPlaceHolder()._inbound_nodes[0].output_tensors)[0]**
                assert self._is_optional_input_placeholder(optional_input_placeholder)
                y.append(optional_input_placeholder)
            return y  

thanks !!!

Hi, I am wonder that how to initialize the state of the encoder and decoder. I tried both encoder_states and [a1, b1] to initialize the state of the decoder_lstm2 but got bad result. I can get good results when I use only decoder_lstm1 with one or several encoders which without initialize the state. Could you please help me? Here is my code.

encoder_inputs = Input(shape=(max_video_length, 4096), dtype='float32')
encoder = LSTM(latent_dim, return_state=True)
encoder_outputs, state_h, state_c = encoder(encoder_outputs2)
encoder_states = [state_h, state_c]

decoder_inputs = Input(shape=(None, len(char_list)), name="decoder_inputs")
decoder_lstm1 = LSTM(latent_dim, return_sequences=True, return_state=True, name="decoder_lstm1")
decoder_lstm2 = LSTM(latent_dim, return_sequences=True, return_state=True, name="decoder_lstm2")
decoder_dense = Dense(len(char_list), activation='softmax')

decoder_outputs, a1, b1 = decoder_lstm1(decoder_inputs, initial_state=encoder_states)
decoder_outputs, a2, b2 = decoder_lstm2(decoder_outputs, initial_state=encoder_states)
decoder_outputs = decoder_dense(decoder_outputs)

model = Model([encoder_inputs, decoder_inputs], decoder_outputs)

我运行命令：
python data_process.py
得到错误：