[BUG] deepspeed.init_inference() erroneously attempts to copy out of meta tensor

The bug
In deepspeed.module_inject.replace_module.py, replace_module() is being called on meta tensors before the actual weights are loaded just a few lines below, resulting in NotImplementedError: Cannot copy out of meta tensor; no data! error.

The code excerpt

config = AutoConfig.from_pretrained(MODEL_NAME)
with deepspeed.OnDevice(dtype=torch.float16, device='meta'):
    model = AutoModel.from_config(config, torch_dtype=torch.float16)
ds_inference_config = {
    'tensor_parallel': {'tp_size': 2},
    'dtype': torch.float16,
    'checkpoint': checkpoint_json,
    'kernel_inject': True,
}
ds_engine = deepspeed.init_inference(
    model,
    config=ds_inference_config,
)

checkpoint_json

{
    "type": "Megatron",
    "version": 1.0,
    "checkpoints": [
        "/home/user/models/opt_iml_30b/max/checkpoint_1_6000.pt-model_part-0.pt",
        "/home/user/models/opt_iml_30b/max/checkpoint_1_6000.pt-model_part-1.pt"
    ]
}

The error

Traceback (most recent call last):
  File "src/test_tp.py", line 87, in <module>
    init_tokenizer_model_deepspeed_w_TP('config/checkpoints-opt-iml-30b-max.json')
  File "src/test_tp.py", line 57, in init_tokenizer_model_deepspeed_w_TP
    ds_engine = deepspeed.init_inference(
  File "/home/user/workspace/deepspeed_llm/venv/lib/python3.8/site-packages/deepspeed/__init__.py", line 311, in init_inference
    engine = InferenceEngine(model, config=ds_inference_config, metaseq_opt_to_pt=metaseq_opt_to_pt)
  File "/home/user/workspace/deepspeed_llm/venv/lib/python3.8/site-packages/deepspeed/inference/engine.py", line 145, in __init__
    self._apply_injection_policy(config)
  File "/home/user/workspace/deepspeed_llm/venv/lib/python3.8/site-packages/deepspeed/inference/engine.py", line 372, in _apply_injection_policy
    replace_transformer_layer(client_module,
  File "/home/user/workspace/deepspeed_llm/venv/lib/python3.8/site-packages/deepspeed/module_inject/replace_module.py", line 534, in replace_transformer_layer
    replaced_module = replace_module(model=model,
  File "/home/user/workspace/deepspeed_llm/venv/lib/python3.8/site-packages/deepspeed/module_inject/replace_module.py", line 800, in replace_module
    replaced_module, _ = _replace_module(model, policy)
  File "/home/user/workspace/deepspeed_llm/venv/lib/python3.8/site-packages/deepspeed/module_inject/replace_module.py", line 827, in _replace_module
    _, layer_id = _replace_module(child, policies, layer_id=layer_id)
  File "/home/user/workspace/deepspeed_llm/venv/lib/python3.8/site-packages/deepspeed/module_inject/replace_module.py", line 827, in _replace_module
    _, layer_id = _replace_module(child, policies, layer_id=layer_id)
  File "/home/user/workspace/deepspeed_llm/venv/lib/python3.8/site-packages/deepspeed/module_inject/replace_module.py", line 817, in _replace_module
    replaced_module = policies[child.__class__][0](child,
  File "/home/user/workspace/deepspeed_llm/venv/lib/python3.8/site-packages/deepspeed/module_inject/replace_module.py", line 524, in replace_fn
    new_module = replace_with_policy(child,
  File "/home/user/workspace/deepspeed_llm/venv/lib/python3.8/site-packages/deepspeed/module_inject/replace_module.py", line 388, in replace_with_policy
    _container.transpose()
  File "/home/user/workspace/deepspeed_llm/venv/lib/python3.8/site-packages/deepspeed/module_inject/containers/features/meta_tensor.py", line 35, in transpose
    super().transpose()
  File "/home/user/workspace/deepspeed_llm/venv/lib/python3.8/site-packages/deepspeed/module_inject/containers/base.py", line 232, in transpose
    self.transpose_mlp()
  File "/home/user/workspace/deepspeed_llm/venv/lib/python3.8/site-packages/deepspeed/module_inject/containers/base.py", line 241, in transpose_mlp
    self._h4h_w = self.transpose_impl(self._h4h_w.data)
  File "/home/user/workspace/deepspeed_llm/venv/lib/python3.8/site-packages/deepspeed/module_inject/containers/base.py", line 251, in transpose_impl
    data.to(get_accelerator().current_device_name())
NotImplementedError: Cannot copy out of meta tensor; no data!

Some line numbers in the trackback may be inaccurate due to incorporating changes from GH-2940 and my own code.

ds_report

--------------------------------------------------
DeepSpeed C++/CUDA extension op report
--------------------------------------------------
NOTE: Ops not installed will be just-in-time (JIT) compiled at
      runtime if needed. Op compatibility means that your system
      meet the required dependencies to JIT install the op.
--------------------------------------------------
JIT compiled ops requires ninja
ninja .................. [OKAY]
--------------------------------------------------
op name ................ installed .. compatible
--------------------------------------------------
 [WARNING]  async_io requires the dev libaio .so object and headers but these were not found.
 [WARNING]  async_io: please install the libaio-dev package with apt
 [WARNING]  If libaio is already installed (perhaps from source), try setting the CFLAGS and LDFLAGS environment variables to where it can be found.
async_io ............... [NO] ....... [NO]
cpu_adagrad ............ [NO] ....... [OKAY]
cpu_adam ............... [NO] ....... [OKAY]
fused_adam ............. [NO] ....... [OKAY]
fused_lamb ............. [NO] ....... [OKAY]
quantizer .............. [NO] ....... [OKAY]
random_ltd ............. [NO] ....... [OKAY]
 [WARNING]  please install triton==1.0.0 if you want to use sparse attention
sparse_attn ............ [NO] ....... [NO]
spatial_inference ...... [NO] ....... [OKAY]
transformer ............ [NO] ....... [OKAY]
stochastic_transformer . [NO] ....... [OKAY]
transformer_inference .. [NO] ....... [OKAY]
utils .................. [NO] ....... [OKAY]
--------------------------------------------------
DeepSpeed general environment info:
torch install path ............... ['/home/user/workspace/deepspeed_llm/venv/lib/python3.8/site-packages/torch']
torch version .................... 1.12.1+cu113
deepspeed install path ........... ['/home/user/workspace/deepspeed_llm/venv/lib/python3.8/site-packages/deepspeed']
deepspeed info ................... 0.8.2, unknown, unknown
torch cuda version ............... 11.3
torch hip version ................ None
nvcc version ..................... 11.3
deepspeed wheel compiled w. ...... torch 1.12, cuda 11.3

System info

• Ubuntu 20.04.4 LTS
• 2x NVIDIA TITAN RTX on a single machine
• Python 3.8.1
• deepspeed==0.8.2, with inclusions of the GH-2940 changes
• accelerate==0.17.0, mpi4py==3.1.4, numpy==1.24.2, torch==1.12.1+cu113, transformers==4.26.1

Additional context
I am trying to load OPT-IML-30B downloaded as 2 TPs from Metaseq before I move on to OPT-IML-175B which has 16 TPs.

Please advise on how to proceed, thank you!