PartLayer

represents a net layer that gives the i part of the input.

gives parts m through n.

PartLayer[{spec₁,spec₂,…}]

takes part spec_i at level i in the input.

Details and Options

PartLayer[…][input] explicitly computes the output from applying the layer to input.
PartLayer[…][{input₁,input₂,…}] explicitly computes outputs for each of the input_i.
PartLayer exposes the following ports for use in NetGraph etc.:
"Input" an array

"Output" an array
PartLayer is typically used inside NetChain, NetGraph, etc.
PartLayer normally infers the dimensions of its input from its context in NetChain etc. To specify the dimensions explicitly as {n₁,n₂,…}, use PartLayer["Input"->{n₁,n₂,…}].
PartLayer[m;;n] gives an output that is of the same rank as the input, whereas PartLayer[i] gives an output that is one rank smaller.
Information[PartLayer[…]] gives a report about the layer.
Information[PartLayer[…],prop] gives the value of the property prop of PartLayer[…]. Possible properties are the same as for NetGraph.

open allclose all

Create a PartLayer that takes the second part of an array:

Apply the layer to a vector:

Create a PartLayer that takes the first two elements:

Apply the layer to a matrix:

Create a PartLayer that takes the next-to-last element in an array:

Apply the layer to a vector:

Create a PartLayer that takes all elements after the second one:

Apply the layer to a vector:

This is equivalent to using All:

Create a PartLayer whose inputs are vectors of length three:

The layer threads across a batch of examples:

Create a PartLayer that takes the first column of its input, which is a matrix:

Apply the layer to a matrix:

Using Part with a Span where the second index is smaller than the first is valid syntax, producing an empty list:

This is invalid syntax for PartLayer, as empty arrays are not allowed in nets:

Introduced in 2017

(11.1)

Updated in 2018

(11.3)

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	"Input"	an array
	"Output"	an array