deepr.layers.Rename

class deepr.layers.Rename(layer, inputs=None, outputs=None)

Wrap Layer in a Node to rename inputs / outputs.

Allows you to rename inputs / outputs nodes of a Layer instance. This can be useful if you end up with a Layer instance with inputs and outputs name that are not suitable for your needs.

For example:

@deepr.layers.layer(n_in=2, n_out=1)
def Add(tensors):
    x, y = tensors
    return x + y

add = Add(inputs="a, b", outputs="c")
layer = deepr.layers.Rename(layer=add, inputs="x, y", outputs="z")
layer((1, 1))  # 2
layer({"x": 1, "y": 1})  # {"z": 2}

Note that the same behavior can be achieved using Select and DAG as follows:

layer = deepr.layers.DAG(
    deepr.layers.Select(inputs=("x", "y"), outputs=("a", "b")),
    Add(inputs=("a", "b"), outputs="c"),
    deepr.layers.Select("c", "z"),
)

__init__(layer, inputs=None, outputs=None)

Methods

__init__(layer[, inputs, outputs])
forward(tensors[, mode])	Forward method of the layer
forward_as_dict(tensors[, mode])	Forward method on a dictionary of Tensors.