[QUESTION] How to Convert a CV-CUDA Tensor to numpy array and pycuda tensor without torch.as_tensor

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While using CV-CUDA for GPU acceleration, a notable limitation is the absence of a direct conversion method from CV-CUDA tensor to PyTorch Tensor or PyCUDA GPUArray. While cvcuda.as_tensor facilitates the conversion from PyTorch Tensor or PyCUDA GPUArray to CV-CUDA tensor, a direct reverse conversion is not readily available. Additionally, converting to a NumPy array typically involves using torch.as_tensor followed by .cpu().numpy().

While studying the CV-CUDA source code it seems that the primary conversion method involves using torch.as_tensor. Is there an alternative conversion approach that doesn't rely on torch.as_tensor and enables direct conversion of a CV-CUDA tensor to PyCUDA GPUArray and NumPy array?