fix zoedepth initialization error under deepspeed zero3
Author: Tavish9
Pull request: yes
Labels: name: DeepSpeed

name: bug

name: Vision

# What does this PR do?

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This PR addresses an issue with the initialization of tensor shapes in the `ZoeDepth` model when using the DeepSpeed framework with ZeRO-3 optimization.

Under DeepSpeed ZeRO-3, model parameters are partitioned, and the torch.Tensor class’s initialization behavior is overridden (details can be found in [here](https://github.com/microsoft/DeepSpeed/blob/master/deepspeed/runtime/zero/partition_parameters.py#L593)). This override alters the behavior of tensor initialization, causing the error of the following line:

```python
self.register_buffer("k_minus_1", torch.Tensor([self.k - 1]).view(1, -1, 1, 1), persistent=False)
print(self.k_minus_1.shape)  # torch.Size([1, 63, 1, 1]) wrong!
```

To resolve this, the initialization has been updated to use torch.tensor instead of torch.Tensor, which preserves the intended shape under DeepSpeed ZeRO-3.
```python
self.register_buffer("k_minus_1", torch.tensor([self.k - 1]).view(1, -1, 1, 1), persistent=False)
print(self.k_minus_1.shape)  # torch.Size([1, 1, 1, 1]) correct!
```

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Comments:
Hi @muellerzr, just checking in to see if this PR has gotten lost in your inbox or if it’s just having a little vacation! 😄 It’s been a couple of weeks, and we’re all eagerly waiting to see it merged. 

Also, @qubvel  why not merge without code review since the change is minimal? 🤗

Thanks a lot! 🙏

Ok, I'm going to merge this, the change is minimal and it should not affect anything else