ott.neural.networks.layers.posdef.PositiveDense

class ott.neural.networks.layers.posdef.PositiveDense(dim_hidden, rectifier_fn=<jax._src.custom_derivatives.custom_jvp object>, use_bias=True, kernel_init=<function <lambda>>, bias_init=<function zeros>, precision=None, parent=<flax.linen.module._Sentinel object>, name=None)

A linear transformation using a matrix with all entries non-negative.

Parameters:

• dim_hidden (int) – Number of output dimensions.

• rectifier_fn (Callable[[Array], Array]) – Rectifier function. The default is relu().

• use_bias (bool) – Whether to add bias to the output.

• kernel_init (Callable[[Array, Tuple[int, ...], Any], Array]) – Initializer for the matrix. The default is lecun_normal().

• bias_init (Callable[[Array, Tuple[int, ...], Any], Array]) – Initializer for the bias. The default is zeros().

• precision (Optional[Precision]) – Numerical precision of the computation.

• parent (Union[Type[Module], Scope, Type[_Sentinel], None]) –

• name (Optional[str]) –

Methods

apply(variables, *args[, rngs, method, ...])	Applies a module method to variables and returns output and modified variables.
bias_init(shape[, dtype])	An initializer that returns a constant array full of zeros.
clone(*[, parent, _deep_clone, _reset_names])	Creates a clone of this Module, with optionally updated arguments.
copy(*[, parent, name])	Creates a copy of this Module, with optionally updated arguments.
get_variable(col, name[, default])	Retrieves the value of a Variable.
has_rng(name)	Returns true if a PRNGSequence with name name exists.
has_variable(col, name)	Checks if a variable of given collection and name exists in this Module.
init(rngs, *args[, method, mutable, ...])	Initializes a module method with variables and returns modified variables.
init_with_output(rngs, *args[, method, ...])	Initializes a module method with variables and returns output and modified variables.
is_initializing()	Returns True if running under self.init(...) or nn.init(...)().
is_mutable_collection(col)	Returns true if the collection col is mutable.
kernel_init(**k)
lazy_init(rngs, *args[, method, mutable])	Initializes a module without computing on an actual input.
make_rng([name])	Returns a new RNG key from a given RNG sequence for this Module.
param(name, init_fn, *init_args[, unbox])	Declares and returns a parameter in this Module.
perturb(name, value[, collection])	Add an zero-value variable ('perturbation') to the intermediate value.
put_variable(col, name, value)	Updates the value of the given variable if it is mutable, or an error otherwise.
setup()	Initializes a Module lazily (similar to a lazy __init__).
sow(col, name, value[, reduce_fn, init_fn])	Stores a value in a collection.
unbind()	Returns an unbound copy of a Module and its variables.
variable(col, name[, init_fn, unbox])	Declares and returns a variable in this Module.

Attributes

name
parent
path
precision
rectifier_fn(x)
scope
use_bias
variables	Returns the variables in this module.
dim_hidden