oryx.experimental.nn.Dense

Dense layer used for building neural networks.

Inherits From: Layer

dim_in Input dimensions.
dim_out Output dimensions.
info Returns the info for this Layer.
params Returns the parameters of this Layer.
state Returns the state of this Layer.

Methods

call

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Calls the Layer's call_and_update and returns the first result.

call_and_update

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Uses the layer_cau primitive to call `self._call_and_update.

flatten

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Converts the Layer to a tuple suitable for PyTree.

initialize

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Initializes Dense Layer.

Args
rng Random key.
in_spec Input Spec.
dim_out Output dimensions.
kernel_init Kernel initialization function.
bias_init Bias initialization function.

Returns
Tuple with the output shape and the LayerParams.

new

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Creates Layer given a LayerParams namedtuple.

Args
layer_params LayerParams namedtuple that defines the Layer.
name a string name for the Layer.

Returns
A Layer object.

replace

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Returns a copy of the layer with replaced properties.

spec

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unflatten

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Reconstruct the Layer from a flattened version.

update

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Calls the Layer's call_and_update and returns the second result.

variables

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Returns the variables dictionary for this Layer.

__call__

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Emulates a regular function call.

A Module's dunder call will ensure state is updated after the function call by calling assign on the updated state before returning the output of the function.

Args
*args The arguments to the module.
**kwargs The keyword arguments to the module.

Returns
The output of the module.