);

  let results = (outs
    Res<TF_Float32Tensor, [{A 4D Tensor for output data.}]>:$y,
    Res<TF_Float32Tensor, [{A 1D Tensor for the computed batch mean, to be used by TensorFlow
to compute the running mean.}]>:$batch_mean,
    Res<TF_Float32Tensor, [{A 1D Tensor for the computed batch variance, to be used by
TensorFlow to compute the running variance.}]>:$batch_variance,

}

func getResourceLimits(cpu, memory string) core.ResourceList {
	res := core.ResourceList{}
	res[core.ResourceCPU] = resource.MustParse(cpu)
	res[core.ResourceMemory] = resource.MustParse(memory)
	return res
}

func getResources(cpu, memory, storage string) core.ResourceList {
	res := core.ResourceList{}
	if cpu != "" {
		res[core.ResourceCPU] = resource.MustParse(cpu)
	}
	if memory != "" {