Make `_get_perspective_coeffs` device agnostic

[AntoineSimoulin]

Context

This PR is an attempt to solve the issue mentioned in #9076 and explicitly accept tensor on any device as input for the function _get_perspective_coeffs.

proposed solution

This PR proposes to cast startpoints and endpoints as Tensor if a List[List[int]] is passed as input. We then modify how the a_matrix is build to avoid the for loop and make sure the construction of the matrix is compatible with torchscript. The b_matrix is then directly constructed from startpoints (reshaping and modifying the precision).

Testing

We add one test (test_perspective_tensor_input) to make sure the function is compatible with tensor inputs.

pytest test/test_functional_tensor.py -vvv -k test_perspective
...
337 passed, 336 skipped, 21843 deselected in 5.75s (on CPU machine)

[pytorch-bot[bot]]

:link: Helpful Links

:test_tube: See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/vision/9082

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