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Mojo function
bencher_iter_custom
def bencher_iter_custom[FuncType: def(DeviceContext) raises -> None](mut self_: Bencher, func: FuncType, ctx: DeviceContext)
Times a target GPU closure with custom number of iterations via DeviceContext ctx.
Notes:
Nested launch closures that capture benchmark-local state are closure
values. This value-taking overload forwards the closure to
DeviceContext.execution_time() so FuncType carries the captured
state.
Parameters:
- FuncType (
def(DeviceContext) raises -> None): The target GPU kernel launch closure type.
Args:
- self_ (
Bencher): The bencher state. - func (
FuncType): The closure carrying the captured state of the kernel launch. - ctx (
DeviceContext): The GPU DeviceContext for launching kernel.
def bencher_iter_custom[FuncType: def(DeviceContext, Int) raises -> None](mut self_: Bencher, func: FuncType, ctx: DeviceContext)
Times a target GPU closure with custom number of iterations via DeviceContext ctx.
Notes:
Nested launch closures that capture benchmark-local state are closure
values. This value-taking overload forwards the closure to
DeviceContext.execution_time_iter() so FuncType carries the
captured state.
Parameters:
- FuncType (
def(DeviceContext, Int) raises -> None): The target GPU kernel launch closure type.
Args:
- self_ (
Bencher): The bencher state. - func (
FuncType): The closure carrying the captured state of the kernel launch. - ctx (
DeviceContext): The GPU DeviceContext for launching kernel.