triton.heuristics

triton.heuristics(values)

Decorator for specifying how the values of certain meta-parameters may be computed. This is useful for cases where auto-tuning is prohibitevely expensive, or just not applicable.

@triton.heuristics(values={'BLOCK_SIZE': lambda args: 2 ** int(math.ceil(math.log2(args[1])))})
@triton.jit
def kernel(x_ptr, x_size, **META):
    BLOCK_SIZE = META['BLOCK_SIZE'] # smallest power-of-two >= x_size
.param values: a dictionary of meta-parameter names and functions that compute the value of the meta-parameter.

each such function takes a list of positional arguments as input.

.type values: dict[str, Callable[[list[Any]], Any]]