Keraflow
Deep Learning for Python.
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Wrapper for a backend tensor. More...
Public Member Functions | |
def | __init__ |
Wrapper for a backend tensor.
A Kensor wraps a backend tensor and record meta data such as the tensor's shape and path from previous kensors to this kensor. A Kensor is genrated when:
def keraflow.layers.base.Kensor.__init__ | ( | self, | |
layer, | |||
name, | |||
shape, | |||
tensor, | |||
ancestor_info = {} , |
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path = [] |
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) |
layer | Layer. The layer that outputs the kensor. |
name | str. The name of the kensor. |
shape | tuple. The shape of the tensor. |
tensor | backend tensor. The backend tensor of the kensor. |
ancestor_info | dict. Info of ancestor kensors of the kensor. Used by Model to determine trainable parameters, regularizers, etc... See Layer.__call__, Model.compile |
path | list. The path from ancestors to the kensor. Used by Model to reconstruct the tensor graph. See Layer.__call__, Model.unpack_init_param |