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Fix inplace operation in LSTM when using torch backend #19010

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Jan 2, 2024
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Fix inplace operation in LSTM when using torch backend #19010

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4 changes: 2 additions & 2 deletions keras/layers/rnn/lstm.py
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Original file line number Diff line number Diff line change
Expand Up @@ -233,9 +233,9 @@ def call(self, inputs, states, training=False):
rec_dp_mask = self.get_recurrent_dropout_mask(h_tm1)

if training and 0.0 < self.dropout < 1.0:
inputs *= dp_mask
inputs = inputs * dp_mask
if training and 0.0 < self.recurrent_dropout < 1.0:
h_tm1 *= rec_dp_mask
h_tm1 = h_tm1 * rec_dp_mask

if self.implementation == 1:
inputs_i = inputs
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