Fix Llama4 shape mismatch for 32k+ context window (#842)

Llama4 for `max_model_len > 32k` enable temperature adjustment
https://github.com/vllm-project/vllm/blob/main/vllm/model_executor/models/llama4.py#L719.
Enabled adjustment causes tensor `q` shape modification from 2D to 3D:
https://github.com/vllm-project/vllm/blob/main/vllm/model_executor/models/llama4.py#L307.
This tensor is passing to `UnqnatizedFusedMoEMetod -> forward`:
https://github.com/vllm-project/vllm-gaudi/blob/main/vllm_gaudi/ops/hpu_fused_moe.py#L163
causing invalid reshaping - we trying to return a 3D `output.view` based
on 2D output tensor.

Found that following PR introduced the bug: #680 and #684

---------

Signed-off-by: Artur Fierka <artur.fierka@intel.com>

Author: afierka-intel

vllm_gaudi/ops/hpu_fused_moe.py

@@ -89,7 +89,10 @@ def forward_oot(
             permuted_weights=True,
             activation=layer.activation,
         )
-        return output.view(*(output.size(0), *input_shape[1:]))
+        if layer.dp_size > 1:
+            return output.view(*(output.size(0), *input_shape[1:]))
+        else:
+            return output.view(*input_shape)
 
 
 def reduce_output(self, states: torch.Tensor) -> torch.Tensor: