Dynamic RNN without padding #1023
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TODO: example needed for Dynamic RNN in the documentation, changelog, unittest coverage |
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do you mean, we can input a batch of text without using padding? or we provide a sequence length into the RNN? |
zsdonghao
reviewed
Jul 19, 2019
tensorlayer/layers/recurrent.py
Outdated
| @@ -157,49 +158,104 @@ def build(self, inputs_shape): | |||
| self._trainable_weights.append(var) | |||
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| # @tf.function | |||
| def forward(self, inputs, initial_state=None, **kwargs): | |||
| def forward(self, inputs, actual_length=None, initial_state=None, **kwargs): | |||
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*change to sequence_length |
zsdonghao
approved these changes
Jul 19, 2019
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