flax.linen.apply(fn, module, mutable=False, capture_intermediates=False)[source]#

Creates an apply function to call fn with a bound module.

Unlike Module.apply this function returns a new function with the signature (variables, *args, rngs=None, **kwargs) -> T where T is the return type of fn. If mutable is not False the return type is a tuple where the second item is a FrozenDict with the mutated variables.

The apply function that is returned can be directly composed with JAX transformations like jax.jit:

>>> class Foo(nn.Module):
...   def encode(self, x):
...     ...
...   def decode(self, x):
...     ...

>>> def f(foo, x):
...   z = foo.encode(x)
...   y = foo.decode(z)
...   # ...
...   return y

>>> variables = {}
>>> foo = Foo()
>>> f_jitted = jax.jit(nn.apply(f, foo))
>>> f_jitted(variables, jnp.ones((1, 3)))
  • fn – The function that should be applied. The first argument passed will be a module instance of the module with variables and RNGs bound to it.

  • module – The Module that will be used to bind variables and RNGs to. The Module passed as the first argument to fn will be a clone of module.

  • mutable – Can be bool, str, or list. Specifies which collections should be treated as mutable: bool: all/no collections are mutable. str: The name of a single mutable collection. list: A list of names of mutable collections.

  • capture_intermediates – If True, captures intermediate return values of all Modules inside the “intermediates” collection. By default, only the return values of all __call__ methods are stored. A function can be passed to change the filter behavior. The filter function takes the Module instance and method name and returns a bool indicating whether the output of that method invocation should be stored.


The apply function wrapping fn.