Jit#
- nabla.transforms.jit.jit(func=None, static=True, show_graph=False)[source]#
Just-in-time compile a function for performance optimization. This can be used as a function call like jit(func) or as a decorator @jit.
- Parameters:
func (Callable[[...], Any] | None) – Function to optimize with JIT compilation (should take positional arguments)
- Returns:
JIT-compiled function with optimized execution
- Return type:
Note
This follows JAX’s jit API:
Only accepts positional arguments
For functions requiring keyword arguments, use functools.partial or lambda
Supports both list-style (legacy) and unpacked arguments style (JAX-like)
Example
As a function call:
fast_func = jit(my_func)
As a decorator:
@jit def my_func(x): return x * 2
- nabla.transforms.jit.djit(func=None, show_graph=False)[source]#
Dynamic JIT compile a function for performance optimization. This can be used as a function call like djit(func) or as a decorator @djit.
- Parameters:
func (Callable[[...], Any] | None) – Function to optimize with JIT compilation (should take positional arguments)
- Returns:
JIT-compiled function with optimized execution
- Return type:
Note
This follows JAX’s jit API:
Only accepts positional arguments
For functions requiring keyword arguments, use functools.partial or lambda
Supports both list-style (legacy) and unpacked arguments style (JAX-like)