VL_SIMPLENN_DISPLAY - Display the structure of a SimpleNN network.

VL_SIMPLENN_DISPLAY(NET) prints statistics about the network NET.

INFO = VL_SIMPLENN_DISPLAY(NET) returns instead a structure INFO with several statistics for each layer of the network NET.

[INFO, STR] = VL_SIMPLENN_DISPLAY(...) returns also a string STR with the text that would otherwise be printed.

The function accepts the following options:

• inputSize [auto]

  Specifies the size of the input tensor X that will be passed to the network as input. This information is used in order to estiamte the memory required to process the network. When this option is not used, VL_SIMPLENN_DISPLAY() tires to use values in the NET structure to guess the input size: NET.META.INPUTSIZE and NET.META.NORMALIZATION.IMAGESIZE (assuming a batch size of one image, unless otherwise specified by the batchSize option).

• batchSize [[]]

  Specifies the number of data points in a batch in estimating the memory consumption, overriding the last dimension of inputSize.

• maxNumColumns [18]

  Maximum number of columns in a table. Wider tables are broken into multiple smaller ones.

• format ['ascii']

  One of 'ascii', 'latex', or 'csv'.

See also: VL_SIMPLENN().