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new bcf3a88 fix rnn api docs (#11788)
bcf3a88 is described below
commit bcf3a8881cb3ff00ee3636599536f203580a79a2
Author: Sheng Zha <[email protected]>
AuthorDate: Tue Jul 17 20:32:14 2018 -0700
fix rnn api docs (#11788)
fix default values
---
python/mxnet/gluon/rnn/rnn_cell.py | 26 ++++++++++++--------------
1 file changed, 12 insertions(+), 14 deletions(-)
diff --git a/python/mxnet/gluon/rnn/rnn_cell.py
b/python/mxnet/gluon/rnn/rnn_cell.py
index 0cda938..21cc804 100644
--- a/python/mxnet/gluon/rnn/rnn_cell.py
+++ b/python/mxnet/gluon/rnn/rnn_cell.py
@@ -111,7 +111,7 @@ class RecurrentCell(Block):
Prefix for names of `Block`s
(this prefix is also used for names of weights if `params` is `None`
i.e. if `params` are being created and not reused)
- params : Parameter or None, optional
+ params : Parameter or None, default None
Container for weight sharing between cells.
A new Parameter container is created if `params` is `None`.
"""
@@ -331,9 +331,9 @@ class RNNCell(HybridRecurrentCell):
h2h_weight_initializer : str or Initializer
Initializer for the recurrent weights matrix, used for the linear
transformation of the recurrent state.
- i2h_bias_initializer : str or Initializer
+ i2h_bias_initializer : str or Initializer, default 'zeros'
Initializer for the bias vector.
- h2h_bias_initializer : str or Initializer
+ h2h_bias_initializer : str or Initializer, default 'zeros'
Initializer for the bias vector.
prefix : str, default 'rnn_'
Prefix for name of `Block`s
@@ -437,22 +437,20 @@ class LSTMCell(HybridRecurrentCell):
h2h_weight_initializer : str or Initializer
Initializer for the recurrent weights matrix, used for the linear
transformation of the recurrent state.
- i2h_bias_initializer : str or Initializer, default 'lstmbias'
- Initializer for the bias vector. By default, bias for the forget
- gate is initialized to 1 while all other biases are initialized
- to zero.
- h2h_bias_initializer : str or Initializer
+ i2h_bias_initializer : str or Initializer, default 'zeros'
+ Initializer for the bias vector.
+ h2h_bias_initializer : str or Initializer, default 'zeros'
Initializer for the bias vector.
prefix : str, default 'lstm_'
Prefix for name of `Block`s
(and name of weight if params is `None`).
- params : Parameter or None
+ params : Parameter or None, default None
Container for weight sharing between cells.
Created if `None`.
- activation : str
+ activation : str, default 'tanh'
Activation type to use. See nd/symbol Activation
for supported types.
- recurrent_activation : str
+ recurrent_activation : str, default 'sigmoid'
Activation type to use for the recurrent step. See nd/symbol Activation
for supported types.
@@ -562,14 +560,14 @@ class GRUCell(HybridRecurrentCell):
h2h_weight_initializer : str or Initializer
Initializer for the recurrent weights matrix, used for the linear
transformation of the recurrent state.
- i2h_bias_initializer : str or Initializer
+ i2h_bias_initializer : str or Initializer, default 'zeros'
Initializer for the bias vector.
- h2h_bias_initializer : str or Initializer
+ h2h_bias_initializer : str or Initializer, default 'zeros'
Initializer for the bias vector.
prefix : str, default 'gru_'
prefix for name of `Block`s
(and name of weight if params is `None`).
- params : Parameter or None
+ params : Parameter or None, default None
Container for weight sharing between cells.
Created if `None`.
