1 # TensorFlow contrib layers. 2 3 ## initializers.py 4 5 Functions that produce variable initializer functions with signature: 6 7 `foo(shape, dtype) : Tensor` 8 9 These are typically consumed by functions in [layers.py](#layers.py). 10 11 ## layers.py {#.py} 12 13 Functions that produce layer operations and associated weight & bias variables. Signatures will vary for different functions, but they will often take many of 14 these arguments. 15 16 `foo(x, 17 num_outputs, 18 , 19 weight_init=<DEFAULT>, 20 bias_init=<DEFAULT>, 21 weight_regularizer=None, 22 bias_regularizer=None, 23 name=None) : Tensor` 24 25 `x` is the input tensor. 26 27 Weights and biases are added to `tf.GraphKeys.GLOBAL_VARIABLES` and 28 `tf.GraphKeys.TRAINABLE_VARIABLES`. 29 30 ## optimizers.py 31 32 Functions that add optimization ops given `loss` and `global_step` tensors. 33 34 ## regularizers.py 35 36 Functions that produce weight regularization functions with signature 37 38 `foo(weight_vars, name=None) : Operation` 39 40 These are typically consumed by functions in [layers.py](#layers.py). 41 42 ## summaries.py 43 44 Functions that add summary ops to the standard `tf.GraphKeys.SUMMARIES` 45 collection. They also avoid name conflicts in the summary key. 46
