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authorGravatar Jianwei Xie <xiejw@google.com>2018-01-24 10:02:35 -0800
committerGravatar TensorFlower Gardener <gardener@tensorflow.org>2018-01-24 10:06:06 -0800
commitd9f93c42a50b1f1401d9c186eac0ae8dc9093c3b (patch)
tree178d1a692f56580c266139642b5a1d0d155c477e /tensorflow/contrib/cudnn_rnn
parent7b62a71e2d46c148df7d5704972f4592bc5e0f1b (diff)
Merge changes from github.
PiperOrigin-RevId: 183100142
Diffstat (limited to 'tensorflow/contrib/cudnn_rnn')
-rw-r--r--tensorflow/contrib/cudnn_rnn/kernels/cudnn_rnn_ops.cc2
-rw-r--r--tensorflow/contrib/cudnn_rnn/python/ops/cudnn_rnn_ops.py2
2 files changed, 2 insertions, 2 deletions
diff --git a/tensorflow/contrib/cudnn_rnn/kernels/cudnn_rnn_ops.cc b/tensorflow/contrib/cudnn_rnn/kernels/cudnn_rnn_ops.cc
index 6b0452e7af..ba9686e94e 100644
--- a/tensorflow/contrib/cudnn_rnn/kernels/cudnn_rnn_ops.cc
+++ b/tensorflow/contrib/cudnn_rnn/kernels/cudnn_rnn_ops.cc
@@ -649,7 +649,7 @@ class CudnnRNNParamsToCanonical<GPUDevice, T> : public CudnnRNNKernelCommon {
}
const int num_params_per_layer = num_params_ / num_layers / num_dirs;
// Number of params applied on inputs. The rest are applied on recurrent
- // hiddden states.
+ // hidden states.
const int num_params_input_state = num_params_per_layer / 2;
CHECK(num_params_ % (num_layers * num_dirs) == 0)
<< "Number of params is not a multiple of num_layers * num_dirs.";
diff --git a/tensorflow/contrib/cudnn_rnn/python/ops/cudnn_rnn_ops.py b/tensorflow/contrib/cudnn_rnn/python/ops/cudnn_rnn_ops.py
index 5f6e3be28f..e87162f0ee 100644
--- a/tensorflow/contrib/cudnn_rnn/python/ops/cudnn_rnn_ops.py
+++ b/tensorflow/contrib/cudnn_rnn/python/ops/cudnn_rnn_ops.py
@@ -1542,7 +1542,7 @@ class _CudnnRNNNoInputC(_CudnnRNN):
params: the parameter buffer created for this model.
is_training: whether this operation will be used in training or inference.
Returns:
- output: the output sequuence.
+ output: the output sequence.
output_h: the final state for h.
"""
return _cudnn_rnn_no_input_c(