benchmarks/layer_benchmark/normalization_benchmark.py/benchmark_batch_normalization
def benchmark_batch_normalization(
    num_samples,
    batch_size,
    jit_compile=True,
):
    layer_name = "BatchNormalization"
    init_args = {}
    benchmark = LayerBenchmark(
        layer_name,
        init_args,
        input_shape=[256, 256, 4],
        jit_compile=jit_compile,
    )

    benchmark.benchmark_predict(
        num_samples=num_samples,
        batch_size=batch_size,
    )

    benchmark.benchmark_train(
        num_samples=num_samples,
        batch_size=batch_size,
    )