disable contiguous when converting to tensors

Author: AntoineSimoulin

torchvision/transforms/v2/functional/_type_conversion.py

@@ -173,11 +173,11 @@ def cvcuda_to_tensor(cvcuda_img: "cvcuda.Tensor") -> torch.Tensor:
     if cuda_tensor.ndim == 4:
         # Batched multi-channel image in NHWC format
         # Convert NHWC -> NCHW
-        img = cuda_tensor.permute(0, 3, 1, 2).contiguous()
+        img = cuda_tensor.permute(0, 3, 1, 2)
     elif cuda_tensor.ndim == 3:
         # Batched single-channel image in NHW format
         # Convert NHW -> NCHW by adding channel dimension
-        img = cuda_tensor.unsqueeze(1).contiguous()
+        img = cuda_tensor.unsqueeze(1)
     else:
         raise ValueError(f"Image should be 3 or 4 dimensional. Got {cuda_tensor.ndim} dimensions.")