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| author |  Zhengsheng Wei <zhengsheng.wei.cn@gmail.com> | 2017-12-01 03:05:32 +0800 |
|---|---|---|
| committer |  Sourabh Bajaj <sb2nov@users.noreply.github.com> | 2017-11-30 11:05:32 -0800 |
| commit | fa6a704e4ab891e69642332f991e510a6873aa83 (patch) | |
| tree | 1de134d8a3a8d3241d44cbf5842baf7977b0db97 | |
| parent | 8a4d84969130162ee001fa52bac51e730129399b (diff) | |
revise docstring (#14792)
| -rw-r--r-- | tensorflow/contrib/model_pruning/python/layers/core_layers.py | 8 |
1 files changed, 4 insertions, 4 deletions
diff --git a/tensorflow/contrib/model_pruning/python/layers/core_layers.py b/tensorflow/contrib/model_pruning/python/layers/core_layers.py index ae60d8b1e1..95dfd8f421 100644 --- a/tensorflow/contrib/model_pruning/python/layers/core_layers.py +++ b/tensorflow/contrib/model_pruning/python/layers/core_layers.py @@ -72,8 +72,8 @@ class _MaskedConv(base.Layer): linear activation. use_bias: Boolean, whether the layer uses a bias. kernel_initializer: An initializer for the convolution kernel. - bias_initializer: An initializer for the bias vector. If None, no bias will - be applied. + bias_initializer: An initializer for the bias vector. If None, the default + initializer will be used. kernel_regularizer: Optional regularizer for the convolution kernel. bias_regularizer: Optional regularizer for the bias vector. activity_regularizer: Regularizer function for the output. @@ -279,8 +279,8 @@ class MaskedConv2D(_MaskedConv): linear activation. use_bias: Boolean, whether the layer uses a bias. kernel_initializer: An initializer for the convolution kernel. - bias_initializer: An initializer for the bias vector. If None, no bias will - be applied. + bias_initializer: An initializer for the bias vector. If None, the default + initializer will be used. kernel_regularizer: Optional regularizer for the convolution kernel. bias_regularizer: Optional regularizer for the bias vector. activity_regularizer: Regularizer function for the output. |