An intermediate representation for TensorFlow operations.

Generic ImageReader which reads images and corresponding segmentation masks from the disk, and enqueues them into a TensorFlow queue.

Prescale batch normalization parameters. Concatenate gamma (scale) and beta (bias) terms if set.

The original batch normalization paper includes two learned parameters: a scaling factor \gamma and a bias \beta. Caffe's implementation

Associates parameters loaded from a .caffemodel file with their corresponding nodes.

Constructs a model graph from a Caffe protocol buffer definition.

Generic ImageReader which reads images and corresponding segmentation masks from the disk, and enqueues them into a TensorFlow queue.

Renames nodes in the graph using a given unary function that accepts a node and returns its new name.

Convert layer data arrays to a dictionary mapping parameter names to their values.

Fuses rectified linear units with their parent nodes.

An abstract helper for merging a single-child with its single-parent.