[Bugfix] Fix non-contiguous tensor error in `rocm_unquantized_gemm_impl` (#27605)

Signed-off-by: zhewenli <zhewenli@meta.com>

.buildkite/test-amd.yaml

@@ -286,7 +286,7 @@ steps:
 
 - label: Engine Test # 25min
   timeout_in_minutes: 40
-  mirror_hardwares: [amdexperimental]
+  mirror_hardwares: [amdexperimental, amdproduction]
   agent_pool: mi325_1
   #grade: Blocking
   source_file_dependencies:

vllm/model_executor/layers/utils.py

@@ -119,17 +119,17 @@ def rocm_unquantized_gemm_impl(
     if use_skinny is not True:
         return torch.nn.functional.linear(x, weight, bias)
 
-    x_view = x.view(-1, x.size(-1))
+    x_view = x.reshape(-1, x.size(-1))
     n = x_view.shape[0]
     m = weight.shape[0]
     cu_count = current_platform.get_cu_count()
 
     if m > 8 and 0 < n <= 4:
         out = ops.wvSplitK(weight, x_view, cu_count, bias)
-        return out.view(*x.shape[:-1], weight.shape[0])
+        return out.reshape(*x.shape[:-1], weight.shape[0])
     elif m % 4 == 0 and n == 1 and k <= 8192 and bias is None:
         out = ops.LLMM1(weight, x_view, 4)
-        return out.view(*x.shape[:-1], weight.shape[0])
+        return out.reshape(*x.shape[:-1], weight.shape[0])
     return torch.nn.functional.linear(x, weight, bias)