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author | 2018-06-19 12:08:24 -0700 | |
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committer | 2018-06-19 12:12:44 -0700 | |
commit | 8f19772410ec20010e9930f9765dbd3aaeb06111 (patch) | |
tree | e612fc7a9d1bdf22b4abf43dd454dd95b170c227 | |
parent | ebe34a138382a873063e7472fc33ee33a2d6ae36 (diff) |
Rollback documentation that I forgot to rollback last time.
PiperOrigin-RevId: 201218249
-rw-r--r-- | tensorflow/python/keras/engine/base_layer.py | 9 |
1 files changed, 0 insertions, 9 deletions
diff --git a/tensorflow/python/keras/engine/base_layer.py b/tensorflow/python/keras/engine/base_layer.py index e8cdda30a2..4814275fd5 100644 --- a/tensorflow/python/keras/engine/base_layer.py +++ b/tensorflow/python/keras/engine/base_layer.py @@ -88,15 +88,6 @@ class Layer(checkpointable.CheckpointableBase): once. Should actually perform the logic of applying the layer to the input tensors (which should be passed in as the first argument). - All floating point tensor inputs and arguments are casted to the layer's - dtype, before the body of the layer computation happens. For models with - layers of different dtypes, this helps getting rid of the explicit casts - between layers. - - The casting behavior can be customized in subclasses by overridding - `_cast_inputs_and_args()` function, which is useful if certain or all inputs - should not be casted. - Arguments: trainable: Boolean, whether the layer's variables should be trainable. name: String name of the layer. |