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::
x = nn.PReLU()(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])Creates a clone 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
nameparentpathscopevariablesReturns the variables in this module.