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| author |  qwertWZ <wangzhe258369@gmail.com> | 2018-07-21 15:22:29 +0800 |
|---|---|---|
| committer |  GitHub <noreply@github.com> | 2018-07-21 15:22:29 +0800 |
| commit | db866b6fb02a3b7855f521fdb4175b2d1b217259 (patch) | |
| tree | 7402c49d8027e30862e5e02cdba6d80e0f7fa6b2 /tensorflow/contrib/rnn | |
| parent | 19354d18bb2ce412409f4d79ec4fa23dd9057d8b (diff) | |
Add a missing left bracket in comments
Diffstat (limited to 'tensorflow/contrib/rnn')
| -rw-r--r-- | tensorflow/contrib/rnn/python/ops/rnn.py | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/tensorflow/contrib/rnn/python/ops/rnn.py b/tensorflow/contrib/rnn/python/ops/rnn.py index 2f0caadda3..0266b72dcb 100644 --- a/tensorflow/contrib/rnn/python/ops/rnn.py +++ b/tensorflow/contrib/rnn/python/ops/rnn.py @@ -175,7 +175,7 @@ def stack_bidirectional_dynamic_rnn(cells_fw, Returns: A tuple (outputs, output_state_fw, output_state_bw) where: outputs: Output `Tensor` shaped: - `batch_size, max_time, layers_output]`. Where layers_output + `[batch_size, max_time, layers_output]`. Where layers_output are depth-concatenated forward and backward outputs. output_states_fw is the final states, one tensor per layer, of the forward rnn. |