def METHOD_NAME(cached_func, const_dict, sch):
    weight = cached_func.inputs[1]
    scale_bias = cached_func.inputs[2]
    out = cached_func.outputs[0]
    conv_compute = OperatorCompute.from_output(out)
    co = conv_compute.split(sch, 3, 10)
    cache_weight = sch.cache_read(weight, "global", [conv_compute.op])
    cache_scale_bias = sch.cache_read(scale_bias, "global", [conv_compute.op])
    sch[cache_weight].compute_at(sch[out], co)
    sch[cache_scale_bias].compute_at(sch[out], co)