[Feature Request] Add `hugepages` support to hyp-pytorch-job config

The `hyp-pytorch-job` template doesn't support requesting `hugepages`. EFA's RDMA stack uses `hugepages` (2Mi) to reduce TLB misses during DMA transfers for inter-node NCCL communication. Without this, users have to bypass the CLI and write raw YAML.

HyperPod nodes already pre-allocate hugepages (e.g. ~10562Mi on `ml.p4d.24xlarge`), but the CLI template has no way to request them in the pod spec. The official [SageMaker docs for HyperPodPyTorchJob](https://docs.aws.amazon.com/sagemaker/latest/dg/sagemaker-eks-operator-usage.html) show `hugepages-2Mi: 5120Mi` in the example job spec, confirming this is an expected resource to configure.

Suggested config fields:

```yaml
hugepages_2mi: 5120
hugepages_2mi_limit: 5120
```

Which would generate:

```yaml
resources:
requests:
hugepages-2Mi: 5120Mi
limits:
hugepages-2Mi: 5120Mi
```