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Commit 3c47b589 authored by Pavel KORSHUNOV's avatar Pavel KORSHUNOV
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small cleanup

parent ccc3e3ce
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Pipeline #
...@@ -61,11 +61,14 @@ class LSTM(base.Layer): ...@@ -61,11 +61,14 @@ class LSTM(base.Layer):
self.lstm_cell_size = lstm_cell_size self.lstm_cell_size = lstm_cell_size
self.lstm = lstm_fn(self.lstm_cell_size, activation=activation, reuse=reuse, state_is_tuple=True, **kwargs) self.lstm = lstm_fn(self.lstm_cell_size, activation=activation, reuse=reuse, state_is_tuple=True, **kwargs)
# print("self.lstm_cell_size: ", self.lstm_cell_size)
if dropout: if dropout:
self.lstm = tf.nn.rnn_cell.DropoutWrapper(self.lstm, input_keep_prob=input_dropout, self.lstm = tf.nn.rnn_cell.DropoutWrapper(self.lstm, input_keep_prob=input_dropout,
output_keep_prob=output_dropout) output_keep_prob=output_dropout)
self.batch_size = batch_size self.batch_size = batch_size
self.num_time_steps = num_time_steps self.num_time_steps = num_time_steps
# print("self.num_time_steps:", self.num_time_steps)
self.scope = scope self.scope = scope
hidden_state = tf.zeros([self.batch_size, self.lstm_cell_size]) hidden_state = tf.zeros([self.batch_size, self.lstm_cell_size])
...@@ -76,12 +79,12 @@ class LSTM(base.Layer): ...@@ -76,12 +79,12 @@ class LSTM(base.Layer):
self.output_activation_size = output_activation_size self.output_activation_size = output_activation_size
# Define weights # Define weights
self.output_activation_weights = { # self.output_activation_weights = {
'out': tf.Variable(weights_initializer([lstm_cell_size, self.output_activation_size])) # 'out': tf.Variable(weights_initializer([self.lstm_cell_size, self.output_activation_size]))
} # }
self.output_activation_biases = { # self.output_activation_biases = {
'out': tf.Variable(weights_initializer([self.output_activation_size])) # 'out': tf.Variable(weights_initializer([self.output_activation_size]))
} # }
def __call__(self, inputs): def __call__(self, inputs):
""" """
......
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