benchmarks/layer_benchmark/conv_benchmark.py/benchmark_depthwise_conv1D
def benchmark_depthwise_conv1D(
    num_samples,
    batch_size,
    jit_compile=True,
):
    layer_name = "DepthwiseConv1D"
    init_args = {
        "kernel_size": 16,
        "depth_multiplier": 2,
    }
    benchmark = LayerBenchmark(
        layer_name,
        init_args,
        input_shape=[256, 64],
        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,
    )