Mojo function
run
run[func: fn() -> None](num_warmup: Int = 2, max_iters: Int = 1000000000, min_runtime_secs: SIMD[float64, 1] = 2, max_runtime_secs: SIMD[float64, 1] = 60, max_batch_size: Int = 0) -> Report
Benchmarks the function passed in as a parameter.
Benchmarking continues until 'min_time_ns' has elapsed and either
max_time_ns
OR max_iters
is achieved.
Parameters:
- func (
fn() -> None
): The function to benchmark.
Args:
- num_warmup (
Int
): Number of warmup iterations to run before starting benchmarking (default 2). - max_iters (
Int
): Max number of iterations to run (default1_000_000_000
). - min_runtime_secs (
SIMD[float64, 1]
): Upper bound on benchmarking time in secs (default2
). - max_runtime_secs (
SIMD[float64, 1]
): Lower bound on benchmarking time in secs (default60
). - max_batch_size (
Int
): The maximum number of iterations to perform per time measurement.
Returns:
Average execution time of func in ns.
run[func: fn() capturing -> None](num_warmup: Int = 2, max_iters: Int = 1000000000, min_runtime_secs: SIMD[float64, 1] = 2, max_runtime_secs: SIMD[float64, 1] = 60, max_batch_size: Int = 0) -> Report
Benchmarks the function passed in as a parameter.
Benchmarking continues until 'min_time_ns' has elapsed and either
max_time_ns
OR max_iters
is achieved.
Parameters:
- func (
fn() capturing -> None
): The function to benchmark.
Args:
- num_warmup (
Int
): Number of warmup iterations to run before starting benchmarking (default 2). - max_iters (
Int
): Max number of iterations to run (default1_000_000_000
). - min_runtime_secs (
SIMD[float64, 1]
): Upper bound on benchmarking time in secs (default2
). - max_runtime_secs (
SIMD[float64, 1]
): Lower bound on benchmarking time in secs (default60
). - max_batch_size (
Int
): The maximum number of iterations to perform per time measurement.
Returns:
Average execution time of func in ns.
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