create_dl_pruning — Create a pruning data handle.
create_dl_pruning creates a handle
This handle is used to pass information when pruning a deep learning model.
Mode specifies the pruning method.
The mode implies what will be removed and also which scores are needed.
Currently only the following 'mode' is implemented:
Kernels of convolution layers are removed. In order to do so, a score is calculated for every (potentially removable) kernel, indicating its importance within the given network for the images used. See the given reference for details.
GenParam is a dictionary for setting generic parameters.
Currently no generic parameters are supported.
For an explanation of the concept of deep learning see the introduction of chapter Deep Learning.
This operator returns a handle. Note that the state of an instance of this handle type may be changed by specific operators even though the handle is used as an input parameter by those operators.
Handle of a deep learning model.
Default value: 'oracle'
List of values: 'oracle'
Dictionary with generic parameters.
Default value: 
Pruning data handle.
Pavlo Molchanov, Stephen Tyree, Tero Karras, Timo Aila, Jan Kautz "Pruning Convolutional Neural Networks for Resource Efficient Inference", ICLR 2017, 5th International Conference on Learning Representations, Toulon, France.
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