生成BLS-LSTM的python代码
时间: 2023-06-16 12:04:38 浏览: 116
以下是BLS-LSTM的简单Python代码:
```
import tensorflow as tf
class BLSLSTMCell(tf.nn.rnn_cell.RNNCell):
def __init__(self, num_units, forget_bias=1.0, activation=None, name=None):
super(BLSLSTMCell, self).__init__(name=name)
self.num_units = num_units
self.forget_bias = forget_bias
self.activation = activation or tf.nn.tanh
@property
def state_size(self):
return 2 * self.num_units
@property
def output_size(self):
return self.num_units
def __call__(self, inputs, state, scope=None):
c, h = tf.unstack(state, axis=1)
# BLS-LSTM gate calculations
concat = tf.concat([inputs, h], axis=1)
gate_inputs = tf.layers.dense(concat, 4 * self.num_units, name='gate_inputs')
i, j, f, o = tf.split(gate_inputs, 4, axis=1)
# BLS-LSTM forget gate bias initialization
f += self.forget_bias
# BLS-LSTM state update
new_c = c * tf.sigmoid(f) + tf.sigmoid(i) * self.activation(j)
new_h = self.activation(new_c) * tf.sigmoid(o)
new_state = tf.stack([new_c, new_h], axis=1)
return new_h, new_state
```
注意:这只是一个简单的实现,实际使用中可能需要进行更多的调整和优化。