diff options
| author |  A. Unique TensorFlower <gardener@tensorflow.org> | 2017-06-26 14:00:17 -0700 |
|---|---|---|
| committer | TensorFlower Gardener <gardener@tensorflow.org> | 2017-06-26 14:04:35 -0700 |
| commit | 1fa73c53ab95693f070ce70e6be0c644d83c163a (patch) | |
| tree | ffbedf825daf1f3453c695a433c8a9cdf93f6019 /tensorflow/contrib/keras | |
| parent | b13e96e21c1229a905a623111dd89d2bd0cba53b (diff) | |
Automated g4 rollback of changelist 160182040
PiperOrigin-RevId: 160190881
Diffstat (limited to 'tensorflow/contrib/keras')
4 files changed, 6 insertions, 6 deletions
diff --git a/tensorflow/contrib/keras/python/keras/backend.py b/tensorflow/contrib/keras/python/keras/backend.py index 324f510301..9f02fc0958 100644 --- a/tensorflow/contrib/keras/python/keras/backend.py +++ b/tensorflow/contrib/keras/python/keras/backend.py @@ -3261,7 +3261,7 @@ def conv2d(x, padding: string, `"same"` or `"valid"`. data_format: `"channels_last"` or `"channels_first"`. Whether to use Theano or TensorFlow data format - for inputs/kernels/outputs. + for inputs/kernels/ouputs. dilation_rate: tuple of 2 integers. Returns: @@ -3309,7 +3309,7 @@ def conv2d_transpose(x, padding: string, `"same"` or `"valid"`. data_format: `"channels_last"` or `"channels_first"`. Whether to use Theano or TensorFlow data format - for inputs/kernels/outputs. + for inputs/kernels/ouputs. Returns: A tensor, result of transposed 2D convolution. @@ -3395,7 +3395,7 @@ def conv3d(x, padding: string, `"same"` or `"valid"`. data_format: `"channels_last"` or `"channels_first"`. Whether to use Theano or TensorFlow data format - for inputs/kernels/outputs. + for inputs/kernels/ouputs. dilation_rate: tuple of 3 integers. Returns: diff --git a/tensorflow/contrib/keras/python/keras/layers/core.py b/tensorflow/contrib/keras/python/keras/layers/core.py index 34548c83c5..d287fa56d9 100644 --- a/tensorflow/contrib/keras/python/keras/layers/core.py +++ b/tensorflow/contrib/keras/python/keras/layers/core.py @@ -107,7 +107,7 @@ class Dropout(tf_core_layers.Dropout, Layer): self.supports_masking = True # Inheritance call order: # 1) tf.layers.Dropout, 2) keras.layers.Layer, 3) tf.layers.Layer - super(Dropout, self).__init__(rate=rate, noise_shape=noise_shape, seed=seed, **kwargs) + super(Dropout, self).__init__(**kwargs) def call(self, inputs, training=None): if training is None: diff --git a/tensorflow/contrib/keras/python/keras/layers/recurrent.py b/tensorflow/contrib/keras/python/keras/layers/recurrent.py index cdef55f599..5e8c23ed3e 100644 --- a/tensorflow/contrib/keras/python/keras/layers/recurrent.py +++ b/tensorflow/contrib/keras/python/keras/layers/recurrent.py @@ -985,7 +985,7 @@ class LSTM(Recurrent): References: - [Long short-term - memory](http://www.bioinf.jku.at/publications/older/2604.pdf) + memory](http://deeplearning.cs.cmu.edu/pdfs/Hochreiter97_lstm.pdf) (original 1997 paper) - [Supervised sequence labeling with recurrent neural networks](http://www.cs.toronto.edu/~graves/preprint.pdf) diff --git a/tensorflow/contrib/keras/python/keras/models_test.py b/tensorflow/contrib/keras/python/keras/models_test.py index 99fd6e1cbe..50aba43c24 100644 --- a/tensorflow/contrib/keras/python/keras/models_test.py +++ b/tensorflow/contrib/keras/python/keras/models_test.py @@ -105,7 +105,7 @@ class TestModelSaving(test.TestCase): out2 = model.predict(x) self.assertAllClose(out, out2, atol=1e-05) - def test_functional_model_saving(self): + def test_fuctional_model_saving(self): if h5py is None: return # Skip test if models cannot be saved. |