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Properly document sequence_length parameter of dynamic_rnn

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Fixes #27981

PiperOrigin-RevId: 244886657
This commit is contained in:
Mihai Maruseac 2019-04-23 11:03:06 -07:00 committed by TensorFlower Gardener
parent 1154525a09
commit ca644c9ca5
1 changed files with 2 additions and 3 deletions
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tensorflow/python/ops/rnn.py
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@ -580,9 +580,8 @@ def dynamic_rnn(cell,
tuple of Tensors each with dimensions `[batch_size, ...]`.
sequence_length: (optional) An int32/int64 vector sized `[batch_size]`. Used
to copy-through state and zero-out outputs when past a batch element's
sequence length. This argument enables this API to extract
the last VALID state of RNN instead of a PADDED time step, so it is
for correctness.
sequence length. This parameter enables users to extract the last valid
state and properly padded outputs, so it is provided for correctness.
initial_state: (optional) An initial state for the RNN. If `cell.state_size`
is an integer, this must be a `Tensor` of appropriate type and shape
`[batch_size, cell.state_size]`. If `cell.state_size` is a tuple, this