flax.linen.activation.PReLU#

class flax.linen.activation.PReLU(param_dtype=<class 'jax.numpy.float32'>, negative_slope_init=0.01, parent=<flax.linen.module._Sentinel object>, name=None)[source]#

Parametric Rectified Linear Unit (PReLU) activation function.

Note that PReLU is a Flax layer and not a simple activation function, so it needs to be initialized before being called.

Example usage::
>>> import flax.linen as nn
>>> class MLP(nn.Module):
...   @nn.compact
...   def __call__(self, x):
...     x = nn.Dense(2)(x)
...     x = nn.PReLU()(x) # initialized
...     return x
param_dtype#

the dtype passed to parameter initializers (default: float32).

Type

Any

negative_slope_init#

the value to initialize the negative slope (default 0.01).

Type

float

__init__(param_dtype=<class 'jax.numpy.float32'>, negative_slope_init=0.01, parent=<flax.linen.module._Sentinel object>, name=None)#

Methods

__init__([param_dtype, negative_slope_init, ...])

apply(variables, *args[, rngs, method, ...])

Applies a module method to variables and returns output and modified variables.

bind(variables, *args[, rngs, mutable])

Creates an interactive Module instance by binding variables and RNGs.

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.

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.

tabulate(rngs, *args[, depth, ...])

Creates a summary of the Module represented as a table.

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

negative_slope_init

parent

path

scope

variables

Returns the variables in this module.